Survival Analysis

Colorectal Cancer | Ferroptosis | Unique Genes per RCD Type | Log Fold Change

I. Preliminaries

Loading libraries

library("tidyverse")
library("tibble")
library("msigdbr")
library("ggplot2")
library("TCGAbiolinks")
library("RNAseqQC")
library("DESeq2")
library("ensembldb")
library("purrr")
library("magrittr")
library("vsn")
library("matrixStats")
library("dplyr")
library("grex")
library("survminer")
library("survival")

II. Downloading the TCGA gene expression data

Create a function for downloading TCGA gene expression data.

For more detailed documentation, refer to 2. Differential Gene Expression Analysis - TCGA.Rmd.

GDC_DIR = "../data/public/GDCdata"

query_and_filter_samples <- function(project) {
  query_tumor <- GDCquery(
    project = project,
    data.category = "Transcriptome Profiling",
    data.type = "Gene Expression Quantification",
    experimental.strategy = "RNA-Seq",
    workflow.type = "STAR - Counts",
    access = "open",
    sample.type = "Primary Tumor"
  )
  tumor <- getResults(query_tumor)

  query_normal <- GDCquery(
    project = project,
    data.category = "Transcriptome Profiling",
    data.type = "Gene Expression Quantification",
    experimental.strategy = "RNA-Seq",
    workflow.type = "STAR - Counts",
    access = "open",
    sample.type = "Solid Tissue Normal"
  )
  normal <- getResults(query_normal)

  submitter_ids <- inner_join(tumor, normal, by = "cases.submitter_id") %>%
    dplyr::select(cases.submitter_id)
  tumor <- tumor %>%
    dplyr::filter(cases.submitter_id %in% submitter_ids$cases.submitter_id)
  normal <- normal %>%
    dplyr::filter(cases.submitter_id %in% submitter_ids$cases.submitter_id)

  samples <- rbind(tumor, normal)
  unique(samples$sample_type)

  query_project <- GDCquery(
    project = project,
    data.category = "Transcriptome Profiling",
    data.type = "Gene Expression Quantification",
    experimental.strategy = "RNA-Seq",
    workflow.type = "STAR - Counts",
    access = "open",
    sample.type = c("Solid Tissue Normal", "Primary Tumor"),
    barcode = as.list(samples$sample.submitter_id)
  )

  # If this is your first time running this notebook (i.e., you have not yet downloaded the results of the query in the previous block),
  # uncomment the code block below

  # GDCdownload(
  #   query_coad,
  #   directory = GDC_DIR
  # )

  return(list(samples = samples, query_project = query_project))
}

Download the TCGA gene expression data for colorectal cancer (TCGA-COAD).

projects <- c("TCGA-COAD")

with_results_projects <- c()

samples <- list()
project_data <- list()

for (project in projects) {
  result <- tryCatch(
    {
      result <- query_and_filter_samples(project)
      samples[[project]] <- result$samples
      project_data[[project]] <- result$query_project

      with_results_projects <- c(with_results_projects, project)
    },
    error = function(e) {

    }
  )
}

Running the code block above should generate and populate a directory named GDCdata.

III. Data preprocessing

Construct the RNA-seq count matrix for each cancer type.

tcga_data <- list()
tcga_matrix <- list()

projects <- with_results_projects
for (project in projects) {
  tcga_data[[project]] <- GDCprepare(
    project_data[[project]], 
    directory = GDC_DIR,
    summarizedExperiment = TRUE
  )
}

for (project in projects) {
  count_matrix <- assay(tcga_data[[project]], "unstranded")

  # Remove duplicate entries
  count_matrix_df <- data.frame(count_matrix)
  count_matrix_df <- count_matrix_df[!duplicated(count_matrix_df), ]
  count_matrix <- data.matrix(count_matrix_df)
  rownames(count_matrix) <- cleanid(rownames(count_matrix))
  count_matrix <- count_matrix[!(duplicated(rownames(count_matrix)) | duplicated(rownames(count_matrix), fromLast = TRUE)), ]

  tcga_matrix[[project]] <- count_matrix
}

Format the samples table so that it can be fed as input to DESeq2.

for (project in projects) {
  rownames(samples[[project]]) <- samples[[project]]$cases
  samples[[project]] <- samples[[project]] %>%
    dplyr::select(case = "cases.submitter_id", type = "sample_type")
  samples[[project]]$type <- str_replace(samples[[project]]$type, "Solid Tissue Normal", "normal")
  samples[[project]]$type <- str_replace(samples[[project]]$type, "Primary Tumor", "tumor")
}

DESeq2 requires the row names of samples should be identical to the column names of count_matrix.

for (project in projects) {
  colnames(tcga_matrix[[project]]) <- gsub(x = colnames(tcga_matrix[[project]]), pattern = "\\.", replacement = "-")
  tcga_matrix[[project]] <- tcga_matrix[[project]][, rownames(samples[[project]])]

  # Sanity check
  print(all(colnames(tcga_matrix[[project]]) == rownames(samples[[project]])))
}

IV. Differential gene expression analysis

For more detailed documentation on obtaining the gene set, refer to 7. Differential Gene Expression Analysis - TCGA - Pan-cancer - Unique Genes.Rmd.

RCDdb <- "../data/public/rcd-gene-list/unique-genes/necroptosis-ferroptosis-pyroptosis/"

Write utility functions for filtering the gene sets, performing differential gene expression analysis, plotting the results, and performing variance-stabilizing transformation.

filter_gene_set_and_perform_dgea <- function(genes) {
  tcga_rcd <- list()

  for (project in projects) {
    rownames(genes) <- genes$gene_id
    tcga_rcd[[project]] <- tcga_matrix[[project]][rownames(tcga_matrix[[project]]) %in% genes$gene_id, ]
    tcga_rcd[[project]] <- tcga_rcd[[project]][, rownames(samples[[project]])]
  }

  dds_rcd <- list()
  res_rcd <- list()

  for (project in projects) {
    print(project)
    print("=============")
    dds <- DESeqDataSetFromMatrix(
      countData = tcga_rcd[[project]],
      colData = samples[[project]],
      design = ~type
    )
    dds <- filter_genes(dds, min_count = 10)
    dds$type <- relevel(dds$type, ref = "normal")
    dds_rcd[[project]] <- DESeq(dds)
    res_rcd[[project]] <- results(dds_rcd[[project]])
  }

  deseq.bbl.data <- list()

  for (project in projects) {
    deseq.results <- res_rcd[[project]]
    deseq.bbl.data[[project]] <- data.frame(
      row.names = rownames(deseq.results),
      baseMean = deseq.results$baseMean,
      log2FoldChange = deseq.results$log2FoldChange,
      lfcSE = deseq.results$lfcSE,
      stat = deseq.results$stat,
      pvalue = deseq.results$pvalue,
      padj = deseq.results$padj,
      cancer_type = project,
      gene_symbol = genes[rownames(deseq.results), "gene"]
    )
  }

  deseq.bbl.data.combined <- bind_rows(deseq.bbl.data)
  deseq.bbl.data.combined <- dplyr::filter(deseq.bbl.data.combined, abs(log2FoldChange) >= 1.5 & padj < 0.05)

  return(deseq.bbl.data.combined)
}

plot_dgea <- function(deseq.bbl.data.combined) {
  sizes <- c("<10^-15" = 4, "10^-10" = 3, "10^-5" = 2, "0.05" = 1)

  deseq.bbl.data.combined <- deseq.bbl.data.combined %>%
    mutate(fdr_category = cut(padj,
      breaks = c(-Inf, 1e-15, 1e-10, 1e-5, 0.05),
      labels = c("<10^-15", "10^-10", "10^-5", "0.05"),
      right = FALSE
    ))

  top_genes <- deseq.bbl.data.combined %>%
    group_by(cancer_type) %>%
    mutate(rank = rank(-abs(log2FoldChange))) %>%
    dplyr::filter(rank <= 10) %>%
    ungroup()

  ggplot(top_genes, aes(y = cancer_type, x = gene_symbol, size = fdr_category, fill = log2FoldChange)) +
    geom_point(alpha = 0.5, shape = 21, color = "black") +
    scale_size_manual(values = sizes) +
    scale_fill_gradient2(low = "blue", mid = "white", high = "red", limits = c(min(deseq.bbl.data.combined$log2FoldChange), max(deseq.bbl.data.combined$log2FoldChange))) +
    theme_minimal() +
    theme(
      axis.text.x = element_text(size = 9, angle = 90, hjust = 1)
    ) +
    theme(legend.position = "bottom") +
    theme(legend.position = "bottom") +
    labs(size = "Adjusted p-value", fill = "log2 FC", y = "Cancer type", x = "Gene")
}

perform_vsd <- function(genes) {
  tcga_rcd <- list()

  for (project in projects) {
    rownames(genes) <- genes$gene_id
    tcga_rcd[[project]] <- tcga_matrix[[project]][rownames(tcga_matrix[[project]]) %in% genes$gene_id, ]
    tcga_rcd[[project]] <- tcga_rcd[[project]][, rownames(samples[[project]])]
  }

  vsd_rcd <- list()

  for (project in projects) {
    print(project)
    print("=============")
    dds <- DESeqDataSetFromMatrix(
      countData = tcga_rcd[[project]],
      colData = samples[[project]],
      design = ~type
    )
    dds <- filter_genes(dds, min_count = 10)

    # Perform variance stabilization
    dds <- estimateSizeFactors(dds)
    nsub <- sum(rowMeans(counts(dds, normalized = TRUE)) > 10)
    vsd <- vst(dds, nsub = nsub)
    vsd_rcd[[project]] <- assay(vsd)
  }

  return(vsd_rcd)
}

Ferroptosis

Fetch the gene set of interest.

genes <- read.csv(paste0(RCDdb, "Ferroptosis.csv"))
print(genes)

genes$gene_id <- cleanid(genes$gene_id)
genes <- distinct(genes, gene_id, .keep_all = TRUE)
genes <- subset(genes, gene_id != "")
genes

Filter the genes to include only those in the gene set of interest, and then perform differential gene expression analysis.

deseq.bbl.data.combined <- filter_gene_set_and_perform_dgea(genes)

[1] "TCGA-COAD"
[1] "============="

Warning: some variables in design formula are characters, converting to factorsestimating size factors
estimating dispersions
gene-wise dispersion estimates
mean-dispersion relationship
final dispersion estimates
fitting model and testing
-- replacing outliers and refitting for 21 genes
-- DESeq argument 'minReplicatesForReplace' = 7 
-- original counts are preserved in counts(dds)
estimating dispersions
fitting model and testing

deseq.bbl.data.combined

Plot the results.

plot_dgea(deseq.bbl.data.combined)

Perform variance-stabilizing transformation for further downstream analysis (i.e., for survival analysis).

vsd <- perform_vsd(genes)

[1] "TCGA-COAD"
[1] "============="

V. Downloading the clinical data

Download clinical data from TCGA, and perform some preprocessing: - The deceased column should be FALSE if the patient is alive and TRUE otherwise - The overall_survival column should reflect the follow-up time if the patient is alive and the days to death otherwise

download_clinical_data <- function(project) {
  clinical_data <- GDCquery_clinic(project)
  clinical_data$deceased <- ifelse(clinical_data$vital_status == "Alive", FALSE, TRUE)
  clinical_data$overall_survival <- ifelse(clinical_data$vital_status == "Alive",
    clinical_data$days_to_last_follow_up,
    clinical_data$days_to_death
  )

  return(clinical_data)
}

tcga_clinical <- list()
for (project in projects) {
  tcga_clinical[[project]] <- download_clinical_data(project)
}

VI. Performing survival analysis

Write utility functions for performing survival analysis.

construct_gene_df <- function(gene_of_interest, project) {
  normal_df <- tcga_matrix[[project]] %>%
    as.data.frame() %>%
    rownames_to_column(var = "gene_id") %>%
    gather(key = "case_id", value = "counts", -gene_id) %>%
    left_join(., genes, by = "gene_id") %>%
    dplyr::filter(gene == gene_of_interest) %>%
    dplyr::filter(case_id %in% rownames(samples[[project]] %>% dplyr::filter(type == "normal")))
  normal_df$case_id <- paste0(sapply(strsplit(as.character(normal_df$case_id), "-"), `[`, 1), '-',
                            sapply(strsplit(as.character(normal_df$case_id), "-"), `[`, 2), '-', 
                            sapply(strsplit(as.character(normal_df$case_id), "-"), `[`, 3))
  
  tumor_df <- tcga_matrix[[project]] %>%
      as.data.frame() %>%
      rownames_to_column(var = "gene_id") %>%
      gather(key = "case_id", value = "counts", -gene_id) %>%
      left_join(., genes, by = "gene_id") %>%
      dplyr::filter(gene == gene_of_interest) %>%
      dplyr::filter(case_id %in% rownames(samples[[project]] %>% dplyr::filter(type == "tumor")))
  tumor_df$case_id <- paste0(sapply(strsplit(as.character(tumor_df$case_id), "-"), `[`, 1), '-',
                            sapply(strsplit(as.character(tumor_df$case_id), "-"), `[`, 2), '-', 
                            sapply(strsplit(as.character(tumor_df$case_id), "-"), `[`, 3))
  
  gene_df <- inner_join(normal_df, tumor_df, by = c("gene_id", "case_id", "deathtype", "gene", "description", "gene_biotype", "pmid", "comment"))
  gene_df$log_fold = log2(gene_df$counts.y / gene_df$counts.x)
  
  gene_df$strata <- ifelse(abs(gene_df$log_fold) >= 1.5, "HIGH", "LOW")
  gene_df <- merge(gene_df, tcga_clinical[[project]], by.x = "case_id", by.y = "submitter_id")
  
  return(gene_df)
}

compute_surival_fit <- function(gene_df) {
  return (survfit(Surv(overall_survival, deceased) ~ strata, data = gene_df))
}

compute_cox <- function(gene_df) {
  return (coxph(Surv(overall_survival, deceased) ~ strata, data=gene_df))
}

plot_survival <- function(fit) {
  return(ggsurvplot(fit,
    data = gene_df,
    pval = T,
    risk.table = T,
    risk.table.height = 0.3
  ))
}

compute_survival_diff <- function(gene_df) {
  return(survdiff(Surv(overall_survival, deceased) ~ strata, data = gene_df))
}

Perform survival analysis by testing for the difference in the Kaplan-Meier curves using the G-rho family of Harrington and Fleming tests: https://rdrr.io/cran/survival/man/survdiff.html

Our genes of interest are the differentially expressed genes.

significant_projects <- c()
significant_genes <- c()

ctr <- 1
for (project in projects) {
  for (gene in c(genes$gene)) {
    cat(project, gene, "\n\n")
    error <- tryCatch (
      {
        gene_df <- construct_gene_df(gene, project)
      },
      error = function(e) {
        cat("\n\n============================\n\n")
        e
      }
    )
    
    if(inherits(error, "error")) next

    if (nrow(gene_df) > 0) {
      tryCatch (
        {
          fit <- compute_surival_fit(gene_df)
          survival <- compute_survival_diff(gene_df)
          cox <- compute_cox(gene_df)
          print(ctr)
          ctr <- ctr + 1
          print(survival)
          cat("\n")
          print(cox)
          print(plot_survival(fit))
          if (pchisq(survival$chisq, length(survival$n)-1, lower.tail = FALSE) < 0.05) {
            significant_projects <- c(significant_projects, project)
            significant_genes <- c(significant_genes, gene)
          }
        },
        error = function(e) {
        }
      )
      
    }
    
    cat("\n\n============================\n\n")
  }
}

TCGA-COAD MIR212 



============================

TCGA-COAD NR5A2 

[1] 1
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9    10.51     0.217       1.9
strata=LOW  3        3     1.49     1.535       1.9

 Chisq= 1.9  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.9773    2.6573   0.7360 1.328 0.184

Likelihood ratio test=1.58  on 1 df, p=0.2084
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TFAM 

[1] 2
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CREB5 

[1] 3
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     4.43     0.463     0.894
strata=LOW  9        9     7.57     0.272     0.894

 Chisq= 0.9  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.7314    2.0779   0.7898 0.926 0.354

Likelihood ratio test=0.99  on 1 df, p=0.3208
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NOS2 

[1] 4
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     6.64    0.0191    0.0474
strata=LOW  5        5     5.36    0.0237    0.0474

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1335    0.8751   0.6132 -0.218 0.828

Likelihood ratio test=0.05  on 1 df, p=0.8274
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD HULC  

[1] 5
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     2.39     0.157      0.21
strata=LOW  9        9     9.61     0.039      0.21

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.3178    0.7277   0.6969 -0.456 0.648

Likelihood ratio test=0.2  on 1 df, p=0.6554
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PLXNB2 

[1] 6
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.44     1.697      2.26
strata=LOW  9        9    10.56     0.231      2.26

 Chisq= 2.3  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.1758    0.3086   0.8255 -1.424 0.154

Likelihood ratio test=1.93  on 1 df, p=0.1648
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD KIF20A 

[1] 7
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     7.28    0.0107    0.0321
strata=LOW  5        5     4.72    0.0166    0.0321

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1146    1.1214   0.6399 0.179 0.858

Likelihood ratio test=0.03  on 1 df, p=0.8579
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TIMP1 

[1] 8
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     8.38    0.0175    0.0647
strata=LOW  4        4     3.62    0.0405    0.0647

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1656    1.1802   0.6519 0.254 0.799

Likelihood ratio test=0.06  on 1 df, p=0.8006
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR615 



============================

TCGA-COAD MIR93 

[1] 9
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.17    0.1643     0.291
strata=LOW  7        7     7.83    0.0876     0.291

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.3455    0.7079   0.6432 -0.537 0.591

Likelihood ratio test=0.29  on 1 df, p=0.5919
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ENO3 

[1] 10
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2    0.785     1.883      2.25
strata=LOW  10       10   11.215     0.132      2.25

 Chisq= 2.3  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z    p
strataLOW -1.2922    0.2747   0.9204 -1.404 0.16

Likelihood ratio test=1.72  on 1 df, p=0.1895
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MMD 

[1] 11
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NQO1 

[1] 12
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     2.76      3.81      6.07
strata=LOW  6        6     9.24      1.14      6.07

 Chisq= 6.1  on 1 degrees of freedom, p= 0.01 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.8171    0.1625   0.8307 -2.187 0.0287

Likelihood ratio test=5.72  on 1 df, p=0.01675
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MARCHF5 

[1] 13
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD JUN 

[1] 14
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     2.46     0.968      1.44
strata=LOW  8        8     9.54     0.249      1.44

 Chisq= 1.4  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8422    0.4307   0.7212 -1.168 0.243

Likelihood ratio test=1.33  on 1 df, p=0.2486
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ALDH3A2 

[1] 15
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.58    0.0929     0.142
strata=LOW  9        9     8.42    0.0394     0.142

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2581    1.2945   0.6868 0.376 0.707

Likelihood ratio test=0.15  on 1 df, p=0.7021
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ALOX5 

[1] 16
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     7.04     0.153     0.439
strata=LOW  6        6     4.96     0.217     0.439

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4287    1.5352   0.6519 0.658 0.511

Likelihood ratio test=0.44  on 1 df, p=0.5064
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP9 

[1] 17
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     4.58     0.543      1.06
strata=LOW  9        9     7.42     0.335      1.06

 Chisq= 1.1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.7950    2.2144   0.7905 1.006 0.315

Likelihood ratio test=1.17  on 1 df, p=0.2785
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GLRX5 

[1] 18
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD METTL14 

[1] 19
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TOR2A 

[1] 20
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.16    0.6013     0.752
strata=LOW  10       10    10.84    0.0646     0.752

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7387    0.4777   0.8710 -0.848 0.396

Likelihood ratio test=0.65  on 1 df, p=0.4188
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP14 

[1] 21
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.58    0.0929     0.142
strata=LOW  9        9     8.42    0.0394     0.142

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2581    1.2945   0.6868 0.376 0.707

Likelihood ratio test=0.15  on 1 df, p=0.7021
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR130B 



============================

TCGA-COAD CERS6-AS1 

[1] 22
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     5.95     0.151     0.398
strata=LOW  7        7     6.05     0.149     0.398

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4442    1.5592   0.7087 0.627 0.531

Likelihood ratio test=0.41  on 1 df, p=0.5206
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NFS1 

[1] 23
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     2.18    0.3054     0.429
strata=LOW  9        9     9.82    0.0679     0.429

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4797    0.6190   0.7394 -0.649 0.516

Likelihood ratio test=0.4  on 1 df, p=0.5259
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC3A2 

[1] 24
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.38     1.911      2.34
strata=LOW  9        9    10.62     0.248      2.34

 Chisq= 2.3  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -1.0779    0.3403   0.7381 -1.46 0.144

Likelihood ratio test=1.89  on 1 df, p=0.1692
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ZFAS1 

[1] 25
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     4.81     0.997      1.97
strata=LOW  5        5     7.19     0.667      1.97

 Chisq= 2  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.9480    0.3875   0.6984 -1.357 0.175

Likelihood ratio test=2.02  on 1 df, p=0.1555
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PANX1 

[1] 26
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD HSPB1 

[1] 27
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.97     0.188     0.378
strata=LOW  8        8     7.03     0.133     0.378

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)    z     p
strataLOW 0.4177    1.5184   0.6844 0.61 0.542

Likelihood ratio test=0.39  on 1 df, p=0.5303
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CREB1 

[1] 28
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD EZH2 

[1] 29
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.94  0.000692   0.00153
strata=LOW  6        6     6.06  0.000678   0.00153

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.02384   0.97645  0.60945 -0.039 0.969

Likelihood ratio test=0  on 1 df, p=0.9688
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC40A1 

[1] 30
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PAQR3 

[1] 31
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR545 



============================

TCGA-COAD MIR6077 



============================

TCGA-COAD MIR424 



============================

TCGA-COAD NOX5 

[1] 32
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.34     2.065      2.69
strata=LOW  9        9    10.66     0.259      2.69

 Chisq= 2.7  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.2666    0.2818   0.8236 -1.538 0.124

Likelihood ratio test=2.23  on 1 df, p=0.1354
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DHODH 

[1] 33
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PTPN18 

[1] 34
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IARS1 

[1] 35
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     0.66     2.724      3.29
strata=LOW  10       10    11.34     0.158      3.29

 Chisq= 3.3  on 1 degrees of freedom, p= 0.07 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -1.6435    0.1933   1.0086 -1.63 0.103

Likelihood ratio test=2.41  on 1 df, p=0.1203
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IL4R 

[1] 36
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SENP1 

[1] 37
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IFNA16 



============================

TCGA-COAD SOX2 

[1] 38
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10    10.79    0.0585     0.637
strata=LOW   2        2     1.21    0.5241     0.637

 Chisq= 0.6  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.6592    1.9333   0.8406 0.784 0.433

Likelihood ratio test=0.55  on 1 df, p=0.4563
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LIFR 

[1] 39
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 11       11   11.726    0.0449      2.12
strata=LOW   1        1    0.274    1.9207      2.12

 Chisq= 2.1  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z    p
strataLOW 1.605     4.978    1.226 1.309 0.19

Likelihood ratio test=1.35  on 1 df, p=0.2452
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR199A2 



============================

TCGA-COAD COX4I2 

[1] 40
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3      1.5     1.487      1.92
strata=LOW  9        9     10.5     0.213      1.92

 Chisq= 1.9  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0230    0.3595   0.7706 -1.328 0.184

Likelihood ratio test=1.62  on 1 df, p=0.2028
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATF2 

[1] 41
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ABCC5 

[1] 42
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.72     0.444     0.702
strata=LOW  7        7     8.28     0.199     0.702

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -0.5160    0.5969   0.6218 -0.83 0.407

Likelihood ratio test=0.67  on 1 df, p=0.4118
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CCDC6 

[1] 43
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.35    0.0276      0.05
strata=LOW  8        8     7.65    0.0157      0.05

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1459    1.1571   0.6533 0.223 0.823

Likelihood ratio test=0.05  on 1 df, p=0.8225
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD OTUB1 



============================

TCGA-COAD ALOXE3 

[1] 44
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9    10.99      0.36      4.79
strata=LOW  3        3     1.01      3.91      4.79

 Chisq= 4.8  on 1 degrees of freedom, p= 0.03 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z      p
strataLOW 1.635     5.130    0.828 1.975 0.0483

Likelihood ratio test=3.55  on 1 df, p=0.05946
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SCP2 

[1] 45
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.86   0.00424   0.00847
strata=LOW  7        7     7.14   0.00288   0.00847

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05903   0.94268  0.64134 -0.092 0.927

Likelihood ratio test=0.01  on 1 df, p=0.9267
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PHKG2 

[1] 46
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MTDH 

[1] 47
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ACO1 

[1] 48
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.58    0.0929     0.142
strata=LOW  9        9     8.42    0.0394     0.142

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2581    1.2945   0.6868 0.376 0.707

Likelihood ratio test=0.15  on 1 df, p=0.7021
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR137 



============================

TCGA-COAD OIP5-AS1 

[1] 49
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR494 



============================

TCGA-COAD MLLT1 

[1] 50
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2    0.927     1.240      1.48
strata=LOW  10       10   11.073     0.104      1.48

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0164    0.3619   0.8716 -1.166 0.244

Likelihood ratio test=1.18  on 1 df, p=0.2764
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR19B1 



============================

TCGA-COAD RPTOR 

[1] 51
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GCH1 

[1] 52
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.16    0.2235     0.332
strata=LOW  8        8     8.84    0.0799     0.332

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.3738    0.6881   0.6519 -0.573 0.566

Likelihood ratio test=0.32  on 1 df, p=0.5719
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP16 

[1] 53
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR9-3 



============================

TCGA-COAD CISD3 

[1] 54
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     5.18     0.269     0.525
strata=LOW  8        8     6.82     0.204     0.525

 Chisq= 0.5  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4584    1.5815   0.6373 0.719 0.472

Likelihood ratio test=0.53  on 1 df, p=0.4649
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD USP35 

[1] 55
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.274    1.9207      2.12
strata=LOW  11       11   11.726    0.0449      2.12

 Chisq= 2.1  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z    p
strataLOW -1.6050    0.2009   1.2257 -1.309 0.19

Likelihood ratio test=1.35  on 1 df, p=0.2452
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PRKAA1 

[1] 56
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MAPK14 

[1] 57
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GRIA3 

[1] 58
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9    10.32     0.169      1.34
strata=LOW  3        3     1.68     1.038      1.34

 Chisq= 1.3  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z    p
strataLOW 0.8359    2.3069   0.7415 1.127 0.26

Likelihood ratio test=1.17  on 1 df, p=0.2804
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD KDM5C 

[1] 59
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3      2.2    0.2932     0.391
strata=LOW  9        9      9.8    0.0657     0.391

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4411    0.6433   0.7109 -0.621 0.535

Likelihood ratio test=0.36  on 1 df, p=0.5458
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DECR1 

[1] 60
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD VCP 

[1] 61
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR129-1 



============================

TCGA-COAD PARP10 

[1] 62
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     3.76     0.821      1.57
strata=LOW  10       10     8.24     0.374      1.57

 Chisq= 1.6  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z     p
strataLOW 1.253     3.501    1.063 1.179 0.238

Likelihood ratio test=1.91  on 1 df, p=0.1666
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ULK2 

[1] 63
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.58    0.0929     0.142
strata=LOW  9        9     8.42    0.0394     0.142

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2581    1.2945   0.6868 0.376 0.707

Likelihood ratio test=0.15  on 1 df, p=0.7021
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CISD1 

[1] 64
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR147A 



============================

TCGA-COAD BBOX1-AS1 



============================

TCGA-COAD RB1 

[1] 65
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TTPA 

[1] 66
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9   11.041     0.377      5.53
strata=LOW  3        3    0.959     4.345      5.53

 Chisq= 5.5  on 1 degrees of freedom, p= 0.02 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW 1.9221    6.8355   0.9345 2.057 0.0397

Likelihood ratio test=4.19  on 1 df, p=0.04074
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CDC25A 

[1] 67
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.52    0.0591     0.114
strata=LOW  8        8     7.48    0.0357     0.114

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2313    1.2602   0.6850 0.338 0.736

Likelihood ratio test=0.12  on 1 df, p=0.7315
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PCAT1 

[1] 68
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     5.64     0.326     0.687
strata=LOW  5        5     6.36     0.289     0.687

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -0.5200    0.5945   0.6341 -0.82 0.412

Likelihood ratio test=0.7  on 1 df, p=0.4039
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DAZAP1 

[1] 69
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PEX2 

[1] 70
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR124-3 



============================

TCGA-COAD TRIM21 

[1] 71
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MEG3 

[1] 72
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     4.92     0.879      1.73
strata=LOW  5        5     7.08     0.611      1.73

 Chisq= 1.7  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8428    0.4305   0.6551 -1.286 0.198

Likelihood ratio test=1.73  on 1 df, p=0.1881
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GCLC 

[1] 73
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IDH2 

[1] 74
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1      3.1     1.425      2.88
strata=LOW  11       11      8.9     0.497      2.88

 Chisq= 2.9  on 1 degrees of freedom, p= 0.09 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

               coef exp(coef)  se(coef)     z     p
strataLOW 1.955e+01 3.092e+08 1.012e+04 0.002 0.998

Likelihood ratio test=4.97  on 1 df, p=0.02579
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FNDC5 

[1] 75
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6      6.5    0.0388     0.105
strata=LOW  6        6      5.5    0.0459     0.105

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2125    1.2367   0.6559 0.324 0.746

Likelihood ratio test=0.11  on 1 df, p=0.7445
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FANCD2 

[1] 76
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     1.83     2.571      3.53
strata=LOW  8        8    10.17     0.463      3.53

 Chisq= 3.5  on 1 degrees of freedom, p= 0.06 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.3488    0.2595   0.7711 -1.749 0.0803

Likelihood ratio test=3.04  on 1 df, p=0.08138
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LCN2 

[1] 77
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     7.61    0.0487     0.143
strata=LOW  5        5     4.39    0.0843     0.143

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2314    1.2604   0.6124 0.378 0.705

Likelihood ratio test=0.14  on 1 df, p=0.7067
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TFR2 

[1] 78
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     8.55    0.0353     0.135
strata=LOW  4        4     3.45    0.0875     0.135

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2379    1.2686   0.6490 0.367 0.714

Likelihood ratio test=0.13  on 1 df, p=0.7164
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP12 

[1] 79
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     2.16     1.573      2.32
strata=LOW  8        8     9.84     0.345      2.32

 Chisq= 2.3  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.1242    0.3249   0.7750 -1.451 0.147

Likelihood ratio test=2.12  on 1 df, p=0.1459
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NR1D1 

[1] 80
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     0.66     2.724      3.29
strata=LOW  10       10    11.34     0.158      3.29

 Chisq= 3.3  on 1 degrees of freedom, p= 0.07 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -1.6435    0.1933   1.0086 -1.63 0.103

Likelihood ratio test=2.41  on 1 df, p=0.1203
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATG13 

[1] 81
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TMSB4X 

[1] 82
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.33     0.337      0.42
strata=LOW  10       10    10.67     0.042      0.42

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -0.5382    0.5838   0.8408 -0.64 0.522

Likelihood ratio test=0.38  on 1 df, p=0.5391
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CDK14 

[1] 83
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD RP1-228H13.5 

[1] 84
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     4.12     0.857      1.63
strata=LOW  6        6     7.88     0.448      1.63

 Chisq= 1.6  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8912    0.4102   0.7192 -1.239 0.215

Likelihood ratio test=1.64  on 1 df, p=0.1999
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NOX3 



============================

TCGA-COAD IFNA17 



============================

TCGA-COAD ALOX12B 

[1] 85
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7        4      2.26      4.42
strata=LOW  5        5        8      1.13      4.42

 Chisq= 4.4  on 1 degrees of freedom, p= 0.04 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.6134    0.1992   0.8327 -1.938 0.0527

Likelihood ratio test=4.57  on 1 df, p=0.03252
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PGRMC1 

[1] 86
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.61    0.0336    0.0654
strata=LOW  7        7     7.39    0.0209    0.0654

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1657    0.8473   0.6483 -0.256 0.798

Likelihood ratio test=0.07  on 1 df, p=0.7984
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ULK1 

[1] 87
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.16    0.6013     0.752
strata=LOW  10       10    10.84    0.0646     0.752

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7387    0.4777   0.8710 -0.848 0.396

Likelihood ratio test=0.65  on 1 df, p=0.4188
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TRIM26 

[1] 88
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD QSOX1 

[1] 89
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.55    0.0656     0.124
strata=LOW  8        8     7.45    0.0400     0.124

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2309    1.2598   0.6561 0.352 0.725

Likelihood ratio test=0.13  on 1 df, p=0.7232
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATM 

[1] 90
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.96  0.000216  0.000481
strata=LOW  6        6     6.04  0.000213  0.000481

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.01342   0.98667  0.61161 -0.022 0.982

Likelihood ratio test=0  on 1 df, p=0.9825
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIB2 

[1] 91
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.92  0.003076   0.00395
strata=LOW  10       10    10.08  0.000587   0.00395

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z    p
strataLOW -0.05061   0.95065  0.80554 -0.063 0.95

Likelihood ratio test=0  on 1 df, p=0.9501
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC1A5 

[1] 92
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5      2.2     3.543      5.05
strata=LOW  7        7      9.8     0.798      5.05

 Chisq= 5  on 1 degrees of freedom, p= 0.02 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.5318    0.2162   0.7433 -2.061 0.0393

Likelihood ratio test=4.39  on 1 df, p=0.03613
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR2115 



============================

TCGA-COAD LINC00336 

[1] 93
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     7.13     0.636       1.9
strata=LOW  7        7     4.87     0.931       1.9

 Chisq= 1.9  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.9382    2.5553   0.7034 1.334 0.182

Likelihood ratio test=1.94  on 1 df, p=0.1634
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NDRG1 

[1] 94
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.43     0.721      1.21
strata=LOW  7        7     8.57     0.288      1.21

 Chisq= 1.2  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7401    0.4771   0.6864 -1.078 0.281

Likelihood ratio test=1.17  on 1 df, p=0.2792
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TAFAZZIN 

[1] 95
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     4.21     0.346     0.667
strata=LOW  9        9     7.79     0.187     0.667

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.6385    1.8936   0.7940 0.804 0.421

Likelihood ratio test=0.73  on 1 df, p=0.3931
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR135B 



============================

TCGA-COAD GLS2 

[1] 96
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     5.88     0.212     0.538
strata=LOW  5        5     6.12     0.204     0.538

 Chisq= 0.5  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.5121    0.5992   0.7050 -0.726 0.468

Likelihood ratio test=0.56  on 1 df, p=0.4548
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD HELLS 

[1] 97
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.93  0.000886   0.00178
strata=LOW  7        7     7.07  0.000619   0.00178

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.02681   0.97355  0.63562 -0.042 0.966

Likelihood ratio test=0  on 1 df, p=0.9664
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD KLF2 

[1] 98
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.53    0.0629     0.112
strata=LOW  8        8     7.47    0.0382     0.112

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2139    1.2385   0.6409 0.334 0.739

Likelihood ratio test=0.11  on 1 df, p=0.7364
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TFAP2A 

[1] 99
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     8.47    0.0265     0.101
strata=LOW  4        4     3.53    0.0636     0.101

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2067    1.2297   0.6531 0.317 0.752

Likelihood ratio test=0.1  on 1 df, p=0.7533
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FURIN 

[1] 100
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.25    0.1714     0.278
strata=LOW  8        8     8.75    0.0637     0.278

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z   p
strataLOW -0.3590    0.6984   0.6840 -0.525 0.6

Likelihood ratio test=0.27  on 1 df, p=0.6027
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CDH1 

[1] 101
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     6.23     0.500      1.41
strata=LOW  4        4     5.77     0.541      1.41

 Chisq= 1.4  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.9351    0.3926   0.8119 -1.152 0.249

Likelihood ratio test=1.55  on 1 df, p=0.2134
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR6852 



============================

TCGA-COAD MIR670 



============================

TCGA-COAD TYRO3 

[1] 102
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.76    0.1531      0.24
strata=LOW  9        9     8.24    0.0698      0.24

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3355    1.3986   0.6873 0.488 0.625

Likelihood ratio test=0.25  on 1 df, p=0.6176
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR4715 



============================

TCGA-COAD ABHD12 

[1] 103
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     2.18    0.3054     0.429
strata=LOW  9        9     9.82    0.0679     0.429

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4797    0.6190   0.7394 -0.649 0.516

Likelihood ratio test=0.4  on 1 df, p=0.5259
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATG7 

[1] 104
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MT1G 



============================

TCGA-COAD SAT1 

[1] 105
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.41     1.780      2.25
strata=LOW  9        9    10.59     0.238      2.25

 Chisq= 2.3  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0995    0.3330   0.7692 -1.429 0.153

Likelihood ratio test=1.86  on 1 df, p=0.1723
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR182 



============================

TCGA-COAD HOTAIR 

[1] 106
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=9, 37 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8    8.764    0.0666       2.8
strata=LOW  1        1    0.236    2.4714       2.8

 Chisq= 2.8  on 1 degrees of freedom, p= 0.09 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z     p
strataLOW 2.013     7.483    1.415 1.422 0.155

Likelihood ratio test=1.75  on 1 df, p=0.1855
n= 9, number of events= 9 
   (37 observations deleted due to missingness)


============================

TCGA-COAD PIR 

[1] 107
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     2.49     0.103     0.153
strata=LOW  9        9     9.51     0.027     0.153

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -0.2882    0.7496   0.7390 -0.39 0.697

Likelihood ratio test=0.15  on 1 df, p=0.7002
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ELAVL1 

[1] 108
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ACADSB 

[1] 109
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.86   0.00424   0.00847
strata=LOW  7        7     7.14   0.00288   0.00847

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05903   0.94268  0.64134 -0.092 0.927

Likelihood ratio test=0.01  on 1 df, p=0.9267
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NCOA4 

[1] 110
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IFNA10 



============================

TCGA-COAD IFNA13 



============================

TCGA-COAD MIR9-2 



============================

TCGA-COAD RRM2 

[1] 111
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5      4.9   0.00195   0.00392
strata=LOW  7        7      7.1   0.00135   0.00392

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z    p
strataLOW -0.03987   0.96091  0.63660 -0.063 0.95

Likelihood ratio test=0  on 1 df, p=0.9501
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD EPSTI1 

[1] 112
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     6.76     0.460      1.28
strata=LOW  7        7     5.24     0.593      1.28

 Chisq= 1.3  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.7757    2.1722   0.7001 1.108 0.268

Likelihood ratio test=1.33  on 1 df, p=0.249
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC00551 

[1] 113
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.86     0.336      0.57
strata=LOW  7        7     8.14     0.159      0.57

 Chisq= 0.6  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4847    0.6159   0.6474 -0.749 0.454

Likelihood ratio test=0.56  on 1 df, p=0.4557
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC25A28 

[1] 114
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC00973 



============================

TCGA-COAD MIR378A 

[1] 115
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=11, 35 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     7.87   0.00226   0.00889
strata=LOW  3        3     3.13   0.00568   0.00889

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.06729   0.93492  0.71388 -0.094 0.925

Likelihood ratio test=0.01  on 1 df, p=0.9246
n= 11, number of events= 11 
   (35 observations deleted due to missingness)


============================

TCGA-COAD MGST1 

[1] 116
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.25    0.1728      0.26
strata=LOW  8        8     8.75    0.0642      0.26

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.3311    0.7181   0.6517 -0.508 0.611

Likelihood ratio test=0.25  on 1 df, p=0.6158
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIB1 

[1] 117
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SRC 

[1] 118
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.27   0.02179    0.0321
strata=LOW  9        9     8.73   0.00815    0.0321

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1234    1.1313   0.6889 0.179 0.858

Likelihood ratio test=0.03  on 1 df, p=0.8566
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATG5 

[1] 119
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ACVR1B 

[1] 120
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.79   0.01202    0.0197
strata=LOW  8        8     8.21   0.00554    0.0197

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)     z     p
strataLOW -0.09154   0.91253  0.65196 -0.14 0.888

Likelihood ratio test=0.02  on 1 df, p=0.8887
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NT5DC2 

[1] 121
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.89    0.2027     0.387
strata=LOW  9        9     8.11    0.0972     0.387

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4909    1.6338   0.7964 0.616 0.538

Likelihood ratio test=0.42  on 1 df, p=0.5183
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PIK3CA 

[1] 122
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NUPR1 

[1] 123
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.41     1.780      2.25
strata=LOW  9        9    10.59     0.238      2.25

 Chisq= 2.3  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0995    0.3330   0.7692 -1.429 0.153

Likelihood ratio test=1.86  on 1 df, p=0.1723
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AKT1S1 

[1] 124
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR19A 



============================

TCGA-COAD USP7 

[1] 125
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     2.77     0.549     0.855
strata=LOW  8        8     9.23     0.165     0.855

 Chisq= 0.9  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6504    0.5218   0.7152 -0.909 0.363

Likelihood ratio test=0.81  on 1 df, p=0.3668
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TMSB4Y 

[1] 126
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=8, 38 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.09   0.00190   0.00472
strata=LOW  4        4     3.91   0.00198   0.00472

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.05336   1.05481  0.77685 0.069 0.945

Likelihood ratio test=0  on 1 df, p=0.9453
n= 8, number of events= 8 
   (38 observations deleted due to missingness)


============================

TCGA-COAD SIAH2 

[1] 127
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR29A 



============================

TCGA-COAD CHAC1 

[1] 128
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.26    0.1299     0.254
strata=LOW  7        7     7.74    0.0714     0.254

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.3241    0.7232   0.6453 -0.502 0.616

Likelihood ratio test=0.24  on 1 df, p=0.6207
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC00616 



============================

TCGA-COAD PRKAA2 

[1] 129
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 11       11   11.826    0.0577      4.29
strata=LOW   1        1    0.174    3.9134      4.29

 Chisq= 4.3  on 1 degrees of freedom, p= 0.04 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW  2.350    10.488    1.415 1.661 0.0966

Likelihood ratio test=2.29  on 1 df, p=0.1301
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LONP1 

[1] 130
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PPARG 

[1] 131
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     5.96     0.182     0.475
strata=LOW  5        5     6.04     0.179     0.475

 Chisq= 0.5  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4841    0.6163   0.7084 -0.683 0.494

Likelihood ratio test=0.49  on 1 df, p=0.4829
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MAPK1 

[1] 132
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PEX6 

[1] 133
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     4.36     0.424     0.745
strata=LOW  9        9     7.64     0.242     0.745

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.5930    1.8094   0.6956 0.852 0.394

Likelihood ratio test=0.78  on 1 df, p=0.3766
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PPARA 

[1] 134
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ACSL4 

[1] 135
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.85     0.148      0.27
strata=LOW  8        8     7.15     0.100      0.27

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3282    1.3885   0.6338 0.518 0.605

Likelihood ratio test=0.27  on 1 df, p=0.6001
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ANO6 

[1] 136
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.66    0.0718    0.0888
strata=LOW  10       10    10.34    0.0115    0.0888

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2396    0.7869   0.8060 -0.297 0.766

Likelihood ratio test=0.08  on 1 df, p=0.7713
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD YTHDC2 

[1] 137
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.52    0.0509    0.0945
strata=LOW  7        7     7.48    0.0308    0.0945

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1958    0.8222   0.6379 -0.307 0.759

Likelihood ratio test=0.09  on 1 df, p=0.7591
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR103A1 



============================

TCGA-COAD INTS2 

[1] 138
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PTPN6 

[1] 139
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.25     2.465      3.14
strata=LOW  9        9    10.75     0.286      3.14

 Chisq= 3.1  on 1 degrees of freedom, p= 0.08 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.3546    0.2580   0.8225 -1.647 0.0996

Likelihood ratio test=2.54  on 1 df, p=0.1113
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SMAD7 

[1] 140
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     6.96     0.132     0.372
strata=LOW  6        6     5.04     0.183     0.372

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3740    1.4536   0.6162 0.607 0.544

Likelihood ratio test=0.36  on 1 df, p=0.547
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATG16L1 

[1] 141
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC00976 

[1] 142
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10     9.71   0.00865    0.0505
strata=LOW   2        2     2.29   0.03667    0.0505

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1822    0.8334   0.8118 -0.224 0.822

Likelihood ratio test=0.05  on 1 df, p=0.8196
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD H19 

[1] 143
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.09     1.180      1.78
strata=LOW  7        7     8.91     0.409      1.78

 Chisq= 1.8  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8409    0.4313   0.6475 -1.299 0.194

Likelihood ratio test=1.65  on 1 df, p=0.1996
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FADS1 

[1] 144
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     2.16     3.716      5.74
strata=LOW  7        7     9.84     0.818      5.74

 Chisq= 5.7  on 1 degrees of freedom, p= 0.02 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.8615    0.1554   0.8684 -2.144 0.0321

Likelihood ratio test=5.23  on 1 df, p=0.0222
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CHP1 

[1] 145
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.03     0.187     0.386
strata=LOW  6        6     6.97     0.135     0.386

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4035    0.6680   0.6539 -0.617 0.537

Likelihood ratio test=0.39  on 1 df, p=0.5331
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PRR5 

[1] 146
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.01      3.91      4.79
strata=LOW  9        9    10.99      0.36      4.79

 Chisq= 4.8  on 1 degrees of freedom, p= 0.03 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.6350    0.1949   0.8280 -1.975 0.0483

Likelihood ratio test=3.55  on 1 df, p=0.05946
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CFL1 

[1] 147
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR382 



============================

TCGA-COAD LAMP2 

[1] 148
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     2.49     0.103     0.153
strata=LOW  9        9     9.51     0.027     0.153

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -0.2882    0.7496   0.7390 -0.39 0.697

Likelihood ratio test=0.15  on 1 df, p=0.7002
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PTPN14 

[1] 149
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.56      1.34      1.74
strata=LOW  9        9    10.44      0.20      1.74

 Chisq= 1.7  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.9751    0.3771   0.7686 -1.269 0.205

Likelihood ratio test=1.49  on 1 df, p=0.2226
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AGPAT3 

[1] 150
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.86   0.00424   0.00847
strata=LOW  7        7     7.14   0.00288   0.00847

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05903   0.94268  0.64134 -0.092 0.927

Likelihood ratio test=0.01  on 1 df, p=0.9267
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD STING1 

[1] 151
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ABCC1 

[1] 152
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.95     0.569     0.759
strata=LOW  9        9    10.05     0.110     0.759

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6303    0.5324   0.7350 -0.858 0.391

Likelihood ratio test=0.69  on 1 df, p=0.4063
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IFNA5 



============================

TCGA-COAD MIR140 

[1] 153
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=5, 41 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     2.72     0.606      2.01
strata=LOW  1        1     2.28     0.721      2.01

 Chisq= 2  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

                coef  exp(coef)   se(coef)      z     p
strataLOW -2.077e+01  9.533e-10  2.244e+04 -0.001 0.999

Likelihood ratio test=3.22  on 1 df, p=0.07279
n= 5, number of events= 5 
   (41 observations deleted due to missingness)


============================

TCGA-COAD MYB 

[1] 154
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     2.58     0.787      1.18
strata=LOW  8        8     9.42     0.215      1.18

 Chisq= 1.2  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7602    0.4676   0.7151 -1.063 0.288

Likelihood ratio test=1.11  on 1 df, p=0.293
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IFNA6 



============================

TCGA-COAD IFNA14 



============================

TCGA-COAD BDNF-AS 

[1] 155
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.35    0.0276      0.05
strata=LOW  8        8     7.65    0.0157      0.05

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1459    1.1571   0.6533 0.223 0.823

Likelihood ratio test=0.05  on 1 df, p=0.8225
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TRIB2 

[1] 156
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MALAT1 

[1] 157
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4        5     0.200     0.384
strata=LOW  8        8        7     0.143     0.384

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3948    1.4841   0.6408 0.616 0.538

Likelihood ratio test=0.39  on 1 df, p=0.532
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FH 

[1] 158
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PEX10 

[1] 159
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SCD 

[1] 160
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     5.13     0.678      1.33
strata=LOW  5        5     6.87     0.507      1.33

 Chisq= 1.3  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7261    0.4838   0.6408 -1.133 0.257

Likelihood ratio test=1.34  on 1 df, p=0.2472
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FTL 

[1] 161
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     3.51      1.76      3.02
strata=LOW  6        6     8.49      0.73      3.02

 Chisq= 3  on 1 degrees of freedom, p= 0.08 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.1983    0.3017   0.7253 -1.652 0.0985

Likelihood ratio test=2.95  on 1 df, p=0.08612
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TSC1 

[1] 162
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.75     0.898      1.21
strata=LOW  9        9    10.25     0.153      1.21

 Chisq= 1.2  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8222    0.4395   0.7688 -1.069 0.285

Likelihood ratio test=1.07  on 1 df, p=0.2998
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BRD3 

[1] 163
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.04    0.8900      1.08
strata=LOW  10       10    10.96    0.0843      1.08

 Chisq= 1.1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8793    0.4151   0.8712 -1.009 0.313

Likelihood ratio test=0.91  on 1 df, p=0.3411
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC16A1 

[1] 164
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.86   0.00424   0.00847
strata=LOW  7        7     7.14   0.00288   0.00847

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05903   0.94268  0.64134 -0.092 0.927

Likelihood ratio test=0.01  on 1 df, p=0.9267
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR132 



============================

TCGA-COAD MIR375 



============================

TCGA-COAD MIOX 

[1] 165
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10     9.24    0.0619      0.29
strata=LOW   2        2     2.76    0.2076      0.29

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4271    0.6524   0.7980 -0.535 0.593

Likelihood ratio test=0.31  on 1 df, p=0.5771
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATXN8OS 



============================

TCGA-COAD KLHDC3 

[1] 166
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MICU1 

[1] 167
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CBS 

[1] 168
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.63    0.0246    0.0512
strata=LOW  6        6     6.37    0.0217    0.0512

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1381    0.8710   0.6106 -0.226 0.821

Likelihood ratio test=0.05  on 1 df, p=0.8208
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD HUWE1 

[1] 169
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2    0.927     1.240      1.48
strata=LOW  10       10   11.073     0.104      1.48

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0164    0.3619   0.8716 -1.166 0.244

Likelihood ratio test=1.18  on 1 df, p=0.2764
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC00472 

[1] 170
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10    10.46    0.0199     0.164
strata=LOW   2        2     1.54    0.1346     0.164

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3259    1.3853   0.8074 0.404 0.686

Likelihood ratio test=0.15  on 1 df, p=0.6954
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FGF21 



============================

TCGA-COAD MIR34A 



============================

TCGA-COAD IDH1 

[1] 171
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.43    0.0735     0.135
strata=LOW  7        7     7.57    0.0430     0.135

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2339    0.7915   0.6389 -0.366 0.714

Likelihood ratio test=0.13  on 1 df, p=0.7146
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GSK3B 

[1] 172
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.75     0.898      1.21
strata=LOW  9        9    10.25     0.153      1.21

 Chisq= 1.2  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8222    0.4395   0.7688 -1.069 0.285

Likelihood ratio test=1.07  on 1 df, p=0.2998
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD KDM4A 

[1] 173
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.25    0.1714     0.278
strata=LOW  8        8     8.75    0.0637     0.278

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z   p
strataLOW -0.3590    0.6984   0.6840 -0.525 0.6

Likelihood ratio test=0.27  on 1 df, p=0.6027
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PEX12 

[1] 174
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IDO1 

[1] 175
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8      7.1     0.114     0.315
strata=LOW  4        4      4.9     0.165     0.315

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.3591    0.6983   0.6431 -0.558 0.577

Likelihood ratio test=0.32  on 1 df, p=0.5716
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BCAT2 

[1] 176
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ADAM23 

[1] 177
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.86   0.00315   0.00687
strata=LOW  6        6     6.14   0.00301   0.00687

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05068   0.95058  0.61129 -0.083 0.934

Likelihood ratio test=0.01  on 1 df, p=0.9339
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PEX3 

[1] 178
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATP5MC3 

[1] 179
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AQP5 

[1] 180
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9     8.64    0.0151    0.0759
strata=LOW  3        3     3.36    0.0387    0.0759

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2228    0.8003   0.8103 -0.275 0.783

Likelihood ratio test=0.08  on 1 df, p=0.7789
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ADAMTS9-AS1 



============================

TCGA-COAD ACSL3 

[1] 181
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DDR2 

[1] 182
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10    11.34     0.158      3.29
strata=LOW   2        2     0.66     2.724      3.29

 Chisq= 3.3  on 1 degrees of freedom, p= 0.07 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)    z     p
strataLOW 1.644     5.173    1.009 1.63 0.103

Likelihood ratio test=2.41  on 1 df, p=0.1203
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TERT 

[1] 183
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6      5.2    0.1218     0.235
strata=LOW  6        6      6.8    0.0933     0.235

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2945    0.7449   0.6101 -0.483 0.629

Likelihood ratio test=0.23  on 1 df, p=0.6284
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IFNA7 



============================

TCGA-COAD ECH1 

[1] 184
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.87     0.155     0.289
strata=LOW  8        8     7.13     0.106     0.289

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3414    1.4069   0.6379 0.535 0.593

Likelihood ratio test=0.29  on 1 df, p=0.5878
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CS 

[1] 185
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AMN 

[1] 186
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     8.25   0.00781    0.0332
strata=LOW  4        4     3.75   0.01720    0.0332

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1270    1.1354   0.6978 0.182 0.856

Likelihood ratio test=0.03  on 1 df, p=0.8569
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DUOX2 

[1] 187
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     6.91     0.171     0.477
strata=LOW  4        4     5.09     0.232     0.477

 Chisq= 0.5  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4704    0.6248   0.6872 -0.685 0.494

Likelihood ratio test=0.5  on 1 df, p=0.4805
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MBOAT1 

[1] 188
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD RNF113A 

[1] 189
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.41    0.2517     0.307
strata=LOW  10       10    10.59    0.0334     0.307

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -0.4507    0.6372   0.8198 -0.55 0.583

Likelihood ratio test=0.28  on 1 df, p=0.597
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR138-1 



============================

TCGA-COAD MIR144 



============================

TCGA-COAD P4HB 

[1] 190
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR338 



============================

TCGA-COAD PTGS2 

[1] 191
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     7.98     0.492      1.67
strata=LOW  6        6     4.02     0.976      1.67

 Chisq= 1.7  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)    z     p
strataLOW 0.824     2.280    0.654 1.26 0.208

Likelihood ratio test=1.63  on 1 df, p=0.2015
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ASAH2 

[1] 192
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     2.42    0.0739    0.0992
strata=LOW  10       10     9.58    0.0187    0.0992

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2503    1.2844   0.7967 0.314 0.753

Likelihood ratio test=0.1  on 1 df, p=0.7476
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR522 



============================

TCGA-COAD GALNT14 

[1] 193
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     6.02     0.173     0.388
strata=LOW  7        7     5.98     0.174     0.388

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3909    1.4783   0.6315 0.619 0.536

Likelihood ratio test=0.39  on 1 df, p=0.53
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD KDM4C 

[1] 194
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.61    0.0336    0.0654
strata=LOW  7        7     7.39    0.0209    0.0654

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1657    0.8473   0.6483 -0.256 0.798

Likelihood ratio test=0.07  on 1 df, p=0.7984
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FXN 

[1] 195
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MEF2C 

[1] 196
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     7.13   0.00252   0.00733
strata=LOW  5        5     4.87   0.00369   0.00733

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.05427   1.05577  0.63414 0.086 0.932

Likelihood ratio test=0.01  on 1 df, p=0.932
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MDM2 

[1] 197
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.56      1.34      1.74
strata=LOW  9        9    10.44      0.20      1.74

 Chisq= 1.7  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.9751    0.3771   0.7686 -1.269 0.205

Likelihood ratio test=1.49  on 1 df, p=0.2226
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MAP3K14 

[1] 198
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.16    0.6013     0.752
strata=LOW  10       10    10.84    0.0646     0.752

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7387    0.4777   0.8710 -0.848 0.396

Likelihood ratio test=0.65  on 1 df, p=0.4188
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MDM4 

[1] 199
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.35    0.1259     0.193
strata=LOW  8        8     8.65    0.0488     0.193

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2855    0.7516   0.6522 -0.438 0.662

Likelihood ratio test=0.19  on 1 df, p=0.6649
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ASMTL-AS1 

[1] 200
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.87     0.333     0.525
strata=LOW  7        7     8.13     0.158     0.525

 Chisq= 0.5  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4408    0.6435   0.6131 -0.719 0.472

Likelihood ratio test=0.51  on 1 df, p=0.4766
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NEAT1 

[1] 201
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.11    0.2521     0.365
strata=LOW  8        8     8.89    0.0883     0.365

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)    z     p
strataLOW -0.3836    0.6814   0.6389 -0.6 0.548

Likelihood ratio test=0.35  on 1 df, p=0.5557
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD COPZ1 

[1] 202
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PLIN2 

[1] 203
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     2.62     0.721      1.09
strata=LOW  8        8     9.38     0.202      1.09

 Chisq= 1.1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7299    0.4820   0.7141 -1.022 0.307

Likelihood ratio test=1.02  on 1 df, p=0.3115
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FADS2 

[1] 204
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     2.44     1.002      1.37
strata=LOW  8        8     9.56     0.255      1.37

 Chisq= 1.4  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7593    0.4680   0.6616 -1.148 0.251

Likelihood ratio test=1.24  on 1 df, p=0.2662
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR7-1 



============================

TCGA-COAD TXN 

[1] 205
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR302A 



============================

TCGA-COAD EGLN2 

[1] 206
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.03  0.000310  0.000444
strata=LOW  9        9     8.97  0.000105  0.000444

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.01452   1.01462  0.68912 0.021 0.983

Likelihood ratio test=0  on 1 df, p=0.9832
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NCOA3 

[1] 207
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.28     0.905      1.59
strata=LOW  7        7     8.72     0.340      1.59

 Chisq= 1.6  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.9139    0.4010   0.7472 -1.223 0.221

Likelihood ratio test=1.56  on 1 df, p=0.2112
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SREBF1 

[1] 208
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC01134 

[1] 209
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7      4.1      2.06      3.95
strata=LOW  5        5      7.9      1.07      3.95

 Chisq= 4  on 1 degrees of freedom, p= 0.05 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.5001    0.2231   0.8177 -1.835 0.0666

Likelihood ratio test=4.1  on 1 df, p=0.0428
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MYCN 

[1] 210
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1      2.1     0.579     0.791
strata=LOW  11       11      9.9     0.123     0.791

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.9341    2.5449   1.0824 0.863 0.388

Likelihood ratio test=0.93  on 1 df, p=0.3348
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IFNA4 



============================

TCGA-COAD DPEP1 

[1] 211
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 11       11    10.73   0.00679    0.0683
strata=LOW   1        1     1.27   0.05735    0.0683

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2790    0.7565   1.0707 -0.261 0.794

Likelihood ratio test=0.07  on 1 df, p=0.7873
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD VDAC2 

[1] 212
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PCBP2-OT1 

[1] 213
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=9, 37 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.25     0.108     0.326
strata=LOW  3        3     3.75     0.151     0.326

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4689    0.6257   0.8285 -0.566 0.571

Likelihood ratio test=0.34  on 1 df, p=0.5582
n= 9, number of events= 9 
   (37 observations deleted due to missingness)


============================

TCGA-COAD KEAP1 

[1] 214
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD RPL8 

[1] 215
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1     1.27   0.05735    0.0683
strata=LOW  11       11    10.73   0.00679    0.0683

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z     p
strataLOW 0.279     1.322    1.071 0.261 0.794

Likelihood ratio test=0.07  on 1 df, p=0.7873
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ALOX12 

[1] 216
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2    0.927     1.240      1.48
strata=LOW  10       10   11.073     0.104      1.48

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0164    0.3619   0.8716 -1.166 0.244

Likelihood ratio test=1.18  on 1 df, p=0.2764
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ACSF2 

[1] 217
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     6.25    0.0901     0.214
strata=LOW  5        5     5.75    0.0980     0.214

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2930    0.7461   0.6349 -0.461 0.644

Likelihood ratio test=0.22  on 1 df, p=0.6407
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD KDM5A 

[1] 218
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NRAS 

[1] 219
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.16    0.2235     0.332
strata=LOW  8        8     8.84    0.0799     0.332

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.3738    0.6881   0.6519 -0.573 0.566

Likelihood ratio test=0.32  on 1 df, p=0.5719
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR30E 



============================

TCGA-COAD OGFRP1 

[1] 220
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.66    0.0934     0.183
strata=LOW  8        8     7.34    0.0593     0.183

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z    p
strataLOW 0.2926    1.3399   0.6857 0.427 0.67

Likelihood ratio test=0.19  on 1 df, p=0.6634
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TF 

[1] 221
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7      7.9     0.102      0.34
strata=LOW  5        5      4.1     0.196      0.34

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)    z     p
strataLOW 0.3714    1.4497   0.6400 0.58 0.562

Likelihood ratio test=0.33  on 1 df, p=0.5627
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ETV4 



============================

TCGA-COAD PLA2G6 

[1] 222
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.04     0.302     0.446
strata=LOW  8        8     8.96     0.103     0.446

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4344    0.6476   0.6554 -0.663 0.507

Likelihood ratio test=0.42  on 1 df, p=0.5145
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD POR 

[1] 223
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.25     2.465      3.14
strata=LOW  9        9    10.75     0.286      3.14

 Chisq= 3.1  on 1 degrees of freedom, p= 0.08 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.3546    0.2580   0.8225 -1.647 0.0996

Likelihood ratio test=2.54  on 1 df, p=0.1113
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BRPF1 

[1] 224
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2    0.927     1.240      1.48
strata=LOW  10       10   11.073     0.104      1.48

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0164    0.3619   0.8716 -1.166 0.244

Likelihood ratio test=1.18  on 1 df, p=0.2764
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TMBIM4 

[1] 225
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD KRAS 

[1] 226
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AHCY 

[1] 227
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     5.41    0.0313    0.0654
strata=LOW  7        7     6.59    0.0257    0.0654

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1617    1.1755   0.6327 0.256 0.798

Likelihood ratio test=0.07  on 1 df, p=0.797
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR34C 



============================

TCGA-COAD ATG3 

[1] 228
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR30B 



============================

TCGA-COAD LYRM1 

[1] 229
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.96     0.186     0.376
strata=LOW  8        8     7.04     0.131     0.376

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4172    1.5177   0.6854 0.609 0.543

Likelihood ratio test=0.39  on 1 df, p=0.5315
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SIRT6 

[1] 230
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     2.77   0.01966    0.0277
strata=LOW  9        9     9.23   0.00589    0.0277

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1159    0.8906   0.6967 -0.166 0.868

Likelihood ratio test=0.03  on 1 df, p=0.8689
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD KMT2D 

[1] 231
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.44     1.697      2.26
strata=LOW  9        9    10.56     0.231      2.26

 Chisq= 2.3  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.1758    0.3086   0.8255 -1.424 0.154

Likelihood ratio test=1.93  on 1 df, p=0.1648
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LPIN1 

[1] 232
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2    0.927     1.240      1.48
strata=LOW  10       10   11.073     0.104      1.48

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0164    0.3619   0.8716 -1.166 0.244

Likelihood ratio test=1.18  on 1 df, p=0.2764
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MBOAT2 

[1] 233
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD KDM3B 

[1] 234
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.75     0.898      1.21
strata=LOW  9        9    10.25     0.153      1.21

 Chisq= 1.2  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8222    0.4395   0.7688 -1.069 0.285

Likelihood ratio test=1.07  on 1 df, p=0.2998
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ARHGEF26-AS1 

[1] 235
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10    11.44     0.181      4.35
strata=LOW   2        2     0.56     3.708      4.35

 Chisq= 4.4  on 1 degrees of freedom, p= 0.04 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z      p
strataLOW 1.848     6.344    1.011 1.827 0.0676

Likelihood ratio test=2.97  on 1 df, p=0.08482
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR9-1 



============================

TCGA-COAD AIFM2 

[1] 236
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PRDX1 

[1] 237
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1     0.82    0.0396    0.0452
strata=LOW  11       11    11.18    0.0029    0.0452

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2300    0.7945   1.0848 -0.212 0.832

Likelihood ratio test=0.04  on 1 df, p=0.8365
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FOXO4 

[1] 238
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BMAL1 

[1] 239
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     5.95     0.186     0.413
strata=LOW  5        5     6.05     0.183     0.413

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4041    0.6676   0.6325 -0.639 0.523

Likelihood ratio test=0.42  on 1 df, p=0.5167
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR127 



============================

TCGA-COAD TGFBR1 

[1] 240
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1     0.82    0.0396    0.0452
strata=LOW  11       11    11.18    0.0029    0.0452

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2300    0.7945   1.0848 -0.212 0.832

Likelihood ratio test=0.04  on 1 df, p=0.8365
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NR1D2 

[1] 241
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FZD7 

[1] 242
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.77   0.00891    0.0191
strata=LOW  6        6     6.23   0.00826    0.0191

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z    p
strataLOW -0.08464   0.91884  0.61184 -0.138 0.89

Likelihood ratio test=0.02  on 1 df, p=0.8899
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD G6PD 

[1] 243
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1      3.1     1.425      2.88
strata=LOW  11       11      8.9     0.497      2.88

 Chisq= 2.9  on 1 degrees of freedom, p= 0.09 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

               coef exp(coef)  se(coef)     z     p
strataLOW 1.955e+01 3.092e+08 1.012e+04 0.002 0.998

Likelihood ratio test=4.97  on 1 df, p=0.02579
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD HRAS 



============================

TCGA-COAD SLC38A1 

[1] 244
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC39A14 

[1] 245
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR21 



============================

TCGA-COAD MIR1-1 



============================

TCGA-COAD PROM2 

[1] 246
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10     9.81   0.00355    0.0217
strata=LOW   2        2     2.19   0.01591    0.0217

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1203    0.8867   0.8163 -0.147 0.883

Likelihood ratio test=0.02  on 1 df, p=0.8816
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NFE2L2 

[1] 247
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GABARAPL1 

[1] 248
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR335 



============================

TCGA-COAD PTEN 

[1] 249
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP4 

[1] 250
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.09     1.186      1.99
strata=LOW  7        7     8.91     0.411      1.99

 Chisq= 2  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0108    0.3639   0.7442 -1.358 0.174

Likelihood ratio test=1.93  on 1 df, p=0.165
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MS4A15 

[1] 251
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9    10.66     0.259      2.69
strata=LOW  3        3     1.34     2.065      2.69

 Chisq= 2.7  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 1.2666    3.5488   0.8236 1.538 0.124

Likelihood ratio test=2.23  on 1 df, p=0.1354
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TIMM9 

[1] 252
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     2.42    0.0739    0.0992
strata=LOW  10       10     9.58    0.0187    0.0992

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2503    1.2844   0.7967 0.314 0.753

Likelihood ratio test=0.1  on 1 df, p=0.7476
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP3 

[1] 253
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD WIPI1 

[1] 254
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     6.77    0.0883     0.223
strata=LOW  6        6     5.23    0.1144     0.223

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)    z     p
strataLOW 0.2878    1.3334   0.6120 0.47 0.638

Likelihood ratio test=0.22  on 1 df, p=0.6373
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SNX5 

[1] 255
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     2.49     0.103     0.153
strata=LOW  9        9     9.51     0.027     0.153

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -0.2882    0.7496   0.7390 -0.39 0.697

Likelihood ratio test=0.15  on 1 df, p=0.7002
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC00239 

[1] 256
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     5.97     0.159     0.416
strata=LOW  7        7     6.03     0.158     0.416

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4531    1.5731   0.7073 0.641 0.522

Likelihood ratio test=0.43  on 1 df, p=0.5111
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PIEZO1 

[1] 257
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.31     2.168      2.85
strata=LOW  9        9    10.69     0.266      2.85

 Chisq= 2.8  on 1 degrees of freedom, p= 0.09 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -1.3168    0.2680   0.8334 -1.58 0.114

Likelihood ratio test=2.35  on 1 df, p=0.1249
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AKR1C2 

[1] 258
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10   11.073     0.104      1.48
strata=LOW   2        2    0.927     1.240      1.48

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 1.0164    2.7632   0.8716 1.166 0.244

Likelihood ratio test=1.18  on 1 df, p=0.2764
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR4443 



============================

TCGA-COAD SLC16A1-AS1 

[1] 259
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3    0.834      5.63      7.28
strata=LOW  9        9   11.166      0.42      7.28

 Chisq= 7.3  on 1 degrees of freedom, p= 0.007 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z      p
strataLOW -2.52855   0.07977  1.17716 -2.148 0.0317

Likelihood ratio test=5.57  on 1 df, p=0.01826
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FAR1 

[1] 260
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CISD2 

[1] 261
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MAPK3 

[1] 262
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.86   0.00424   0.00847
strata=LOW  7        7     7.14   0.00288   0.00847

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05903   0.94268  0.64134 -0.092 0.927

Likelihood ratio test=0.01  on 1 df, p=0.9267
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CYGB 

[1] 263
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.26    0.1282     0.217
strata=LOW  7        7     7.74    0.0706     0.217

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2872    0.7504   0.6180 -0.465 0.642

Likelihood ratio test=0.21  on 1 df, p=0.6439
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MLST8 



============================

TCGA-COAD PANX2 

[1] 264
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     6.94     0.126     0.331
strata=LOW  6        6     5.06     0.173     0.331

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3535    1.4240   0.6169 0.573 0.567

Likelihood ratio test=0.33  on 1 df, p=0.5655
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PEBP1 

[1] 265
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP8 

[1] 266
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.83     0.749     0.954
strata=LOW  9        9    10.17     0.135     0.954

 Chisq= 1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6846    0.5043   0.7143 -0.958 0.338

Likelihood ratio test=0.84  on 1 df, p=0.3587
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GJA1 

[1] 267
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.27     2.364      2.95
strata=LOW  9        9    10.73     0.279      2.95

 Chisq= 3  on 1 degrees of freedom, p= 0.09 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.2585    0.2841   0.7778 -1.618 0.106

Likelihood ratio test=2.35  on 1 df, p=0.125
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BAP1 

[1] 268
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MAP3K11 

[1] 269
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TTBK2 

[1] 270
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     5.18     0.269     0.525
strata=LOW  8        8     6.82     0.204     0.525

 Chisq= 0.5  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4584    1.5815   0.6373 0.719 0.472

Likelihood ratio test=0.53  on 1 df, p=0.4649
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR214 



============================

TCGA-COAD PARP15 

[1] 271
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     4.44     0.545     0.956
strata=LOW  6        6     7.56     0.320     0.956

 Chisq= 1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.5998    0.5489   0.6215 -0.965 0.334

Likelihood ratio test=0.94  on 1 df, p=0.3331
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD HDDC3 

[1] 272
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR10A 



============================

TCGA-COAD CGAS 

[1] 273
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.28    0.1197       0.2
strata=LOW  7        7     7.72    0.0665       0.2

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2721    0.7618   0.6110 -0.445 0.656

Likelihood ratio test=0.2  on 1 df, p=0.6578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SIRT2 

[1] 274
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.16    0.6013     0.752
strata=LOW  10       10    10.84    0.0646     0.752

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7387    0.4777   0.8710 -0.848 0.396

Likelihood ratio test=0.65  on 1 df, p=0.4188
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PPARD 

[1] 275
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.86   0.00424   0.00847
strata=LOW  7        7     7.14   0.00288   0.00847

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05903   0.94268  0.64134 -0.092 0.927

Likelihood ratio test=0.01  on 1 df, p=0.9267
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD EGR1 

[1] 276
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     7.36     0.253     0.764
strata=LOW  6        6     4.64     0.401     0.764

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.5628    1.7555   0.6520 0.863 0.388

Likelihood ratio test=0.76  on 1 df, p=0.3823
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AQP3 

[1] 277
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     9.48     0.647      3.54
strata=LOW  5        5     2.52     2.431      3.54

 Chisq= 3.5  on 1 degrees of freedom, p= 0.06 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW 1.2331    3.4319   0.6912 1.784 0.0744

Likelihood ratio test=3.15  on 1 df, p=0.07599
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD HSF1 



============================

TCGA-COAD MIR18A 



============================

TCGA-COAD OSBPL9 

[1] 278
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SESN2 

[1] 279
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.86   0.00424   0.00847
strata=LOW  7        7     7.14   0.00288   0.00847

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05903   0.94268  0.64134 -0.092 0.927

Likelihood ratio test=0.01  on 1 df, p=0.9267
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BECN1 

[1] 280
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FTMT 



============================

TCGA-COAD HCAR1 

[1] 281
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     6.09     0.600      1.39
strata=LOW  4        4     5.91     0.618      1.39

 Chisq= 1.4  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z    p
strataLOW -0.7910    0.4534   0.6873 -1.151 0.25

Likelihood ratio test=1.46  on 1 df, p=0.2273
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD HILPDA 

[1] 282
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     8.89    0.0895     0.376
strata=LOW  4        4     3.11    0.2562     0.376

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)    z     p
strataLOW 0.3962    1.4862   0.6501 0.61 0.542

Likelihood ratio test=0.36  on 1 df, p=0.5484
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GSTM1 

[1] 283
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     8.12     0.555      1.96
strata=LOW  6        6     3.88     1.163      1.96

 Chisq= 2  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.8898    2.4346   0.6555 1.357 0.175

Likelihood ratio test=1.89  on 1 df, p=0.1689
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR222 

[1] 284
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=3, 43 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 2        2     1.17     0.595      1.47
strata=LOW  1        1     1.83     0.379      1.47

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

                coef  exp(coef)   se(coef)      z     p
strataLOW -2.097e+01  7.775e-10  2.928e+04 -0.001 0.999

Likelihood ratio test=2.2  on 1 df, p=0.1383
n= 3, number of events= 3 
   (43 observations deleted due to missingness)


============================

TCGA-COAD RARRES2 

[1] 285
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     8.31     0.644      2.52
strata=LOW  6        6     3.69     1.453      2.52

 Chisq= 2.5  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 1.0873    2.9663   0.7164 1.518 0.129

Likelihood ratio test=2.48  on 1 df, p=0.1153
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BRD4 

[1] 286
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2    0.927     1.240      1.48
strata=LOW  10       10   11.073     0.104      1.48

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0164    0.3619   0.8716 -1.166 0.244

Likelihood ratio test=1.18  on 1 df, p=0.2764
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SOCS1 

[1] 287
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3      2.2    0.2932     0.391
strata=LOW  9        9      9.8    0.0657     0.391

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4411    0.6433   0.7109 -0.621 0.535

Likelihood ratio test=0.36  on 1 df, p=0.5458
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR17 



============================

TCGA-COAD GDF15 

[1] 288
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 11       11      8.9     0.497      2.88
strata=LOW   1        1      3.1     1.425      2.88

 Chisq= 2.9  on 1 degrees of freedom, p= 0.09 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

                coef  exp(coef)   se(coef)      z     p
strataLOW -1.955e+01  3.234e-09  1.012e+04 -0.002 0.998

Likelihood ratio test=4.97  on 1 df, p=0.02579
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ARF6 

[1] 289
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CDO1 

[1] 290
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     8.47    0.0258    0.0974
strata=LOW  4        4     3.53    0.0618    0.0974

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2031    1.2252   0.6518 0.312 0.755

Likelihood ratio test=0.1  on 1 df, p=0.7571
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CAMKK2 

[1] 291
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC01606 

[1] 292
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=7, 39 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     6.69    0.0713      1.82
strata=LOW  1        1     0.31    1.5403      1.82

 Chisq= 1.8  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z    p
strataLOW 1.701     5.477    1.416 1.201 0.23

Likelihood ratio test=1.3  on 1 df, p=0.2547
n= 7, number of events= 7 
   (39 observations deleted due to missingness)


============================

TCGA-COAD BACH1 

[1] 293
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DPP4 

[1] 294
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     8.84     0.384      1.68
strata=LOW  5        5     3.16     1.075      1.68

 Chisq= 1.7  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.8499    2.3394   0.6756 1.258 0.208

Likelihood ratio test=1.59  on 1 df, p=0.2079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PPP1R13L 

[1] 295
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.85   0.00615    0.0119
strata=LOW  8        8     8.15   0.00290    0.0119

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.07592   0.92689  0.69690 -0.109 0.913

Likelihood ratio test=0.01  on 1 df, p=0.9137
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR150 



============================

TCGA-COAD FLT3 

[1] 296
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.86   0.00315   0.00687
strata=LOW  6        6     6.14   0.00301   0.00687

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05068   0.95058  0.61129 -0.083 0.934

Likelihood ratio test=0.01  on 1 df, p=0.9339
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MAP1LC3A 

[1] 297
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.29    0.0192    0.0321
strata=LOW  8        8     7.71    0.0107    0.0321

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1135    1.1202   0.6337 0.179 0.858

Likelihood ratio test=0.03  on 1 df, p=0.8572
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD A2M-AS1 

[1] 298
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     5.95     0.186     0.413
strata=LOW  5        5     6.05     0.183     0.413

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4041    0.6676   0.6325 -0.639 0.523

Likelihood ratio test=0.42  on 1 df, p=0.5167
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PDSS2 

[1] 299
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.35    0.0276      0.05
strata=LOW  8        8     7.65    0.0157      0.05

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1459    1.1571   0.6533 0.223 0.823

Likelihood ratio test=0.05  on 1 df, p=0.8225
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DNAJB6 



============================

TCGA-COAD SUV39H1 

[1] 300
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1     1.02  0.000387   0.00045
strata=LOW  11       11    10.98  0.000036   0.00045

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.02281   1.02308  1.07582 0.021 0.983

Likelihood ratio test=0  on 1 df, p=0.983
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LPCAT3 

[1] 301
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.76     0.408     0.678
strata=LOW  7        7     8.24     0.186     0.678

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.5260    0.5910   0.6455 -0.815 0.415

Likelihood ratio test=0.66  on 1 df, p=0.4172
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR761 



============================

TCGA-COAD CDCA3 

[1] 302
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.63    0.0248    0.0533
strata=LOW  6        6     6.37    0.0219    0.0533

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1414    0.8681   0.6130 -0.231 0.818

Likelihood ratio test=0.05  on 1 df, p=0.8179
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD EPAS1 

[1] 303
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     5.31     0.542       1.2
strata=LOW  5        5     6.69     0.429       1.2

 Chisq= 1.2  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7516    0.4716   0.7019 -1.071 0.284

Likelihood ratio test=1.24  on 1 df, p=0.2658
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC11A2 

[1] 304
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.84   0.01396    0.0184
strata=LOW  10       10    10.16   0.00253    0.0184

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1117    0.8943   0.8234 -0.136 0.892

Likelihood ratio test=0.02  on 1 df, p=0.8931
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CREB3 

[1] 305
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATF3 

[1] 306
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     5.95     0.186     0.413
strata=LOW  5        5     6.05     0.183     0.413

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4041    0.6676   0.6325 -0.639 0.523

Likelihood ratio test=0.42  on 1 df, p=0.5167
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TGFB1 

[1] 307
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.65     1.111      1.46
strata=LOW  9        9    10.35     0.177      1.46

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.9000    0.4066   0.7684 -1.171 0.241

Likelihood ratio test=1.28  on 1 df, p=0.2581
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SMG9 

[1] 308
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.92  0.003076   0.00395
strata=LOW  10       10    10.08  0.000587   0.00395

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z    p
strataLOW -0.05061   0.95065  0.80554 -0.063 0.95

Likelihood ratio test=0  on 1 df, p=0.9501
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NOX4 

[1] 309
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10     9.58    0.0187    0.0992
strata=LOW   2        2     2.42    0.0739    0.0992

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2503    0.7786   0.7967 -0.314 0.753

Likelihood ratio test=0.1  on 1 df, p=0.7476
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR27A 



============================

TCGA-COAD FOXP1 

[1] 310
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SNCA 

[1] 311
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     7.91     0.106     0.349
strata=LOW  5        5     4.09     0.205     0.349

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3737    1.4531   0.6358 0.588 0.557

Likelihood ratio test=0.34  on 1 df, p=0.5578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ENPP2 

[1] 312
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.86   0.00315   0.00687
strata=LOW  6        6     6.14   0.00301   0.00687

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05068   0.95058  0.61129 -0.083 0.934

Likelihood ratio test=0.01  on 1 df, p=0.9339
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BRD2 

[1] 313
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ISCU 

[1] 314
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PHF21A 

[1] 315
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP6 

[1] 316
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     2.76    0.2076      0.29
strata=LOW  10       10     9.24    0.0619      0.29

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4271    1.5328   0.7980 0.535 0.593

Likelihood ratio test=0.31  on 1 df, p=0.5771
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ZEB1 

[1] 317
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9    10.07     0.114     0.771
strata=LOW  3        3     1.93     0.594     0.771

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.6195    1.8581   0.7165 0.865 0.387

Likelihood ratio test=0.69  on 1 df, p=0.4052
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LIG3 

[1] 318
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.04    0.8900      1.08
strata=LOW  10       10    10.96    0.0843      1.08

 Chisq= 1.1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8793    0.4151   0.8712 -1.009 0.313

Likelihood ratio test=0.91  on 1 df, p=0.3411
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PEDS1 

[1] 319
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD RPPH1 



============================

TCGA-COAD GFRA1 

[1] 320
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 11       11   11.726    0.0449      2.12
strata=LOW   1        1    0.274    1.9207      2.12

 Chisq= 2.1  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z    p
strataLOW 1.605     4.978    1.226 1.309 0.19

Likelihood ratio test=1.35  on 1 df, p=0.2452
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AQP8 



============================

TCGA-COAD SIRT1 

[1] 321
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR15A 



============================

TCGA-COAD AKR1C3 

[1] 322
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     5.36    0.0237    0.0474
strata=LOW  7        7     6.64    0.0191    0.0474

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1335    1.1428   0.6132 0.218 0.828

Likelihood ratio test=0.05  on 1 df, p=0.8274
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DLD 

[1] 323
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD USP11 

[1] 324
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.92  0.003076   0.00395
strata=LOW  10       10    10.08  0.000587   0.00395

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z    p
strataLOW -0.05061   0.95065  0.80554 -0.063 0.95

Likelihood ratio test=0  on 1 df, p=0.9501
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SREBF2 

[1] 325
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR190A 



============================

TCGA-COAD IFNA8 



============================

TCGA-COAD KDM6B 

[1] 326
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.44     1.697      2.26
strata=LOW  9        9    10.56     0.231      2.26

 Chisq= 2.3  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.1758    0.3086   0.8255 -1.424 0.154

Likelihood ratio test=1.93  on 1 df, p=0.1648
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ACOT1 

[1] 327
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.67     0.482     0.787
strata=LOW  7        7     8.33     0.212     0.787

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.5649    0.5684   0.6445 -0.876 0.381

Likelihood ratio test=0.76  on 1 df, p=0.3834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD RELA 

[1] 328
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC39A7 

[1] 329
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD POM121L12 



============================

TCGA-COAD MIR101-1 



============================

TCGA-COAD GABPB1-AS1 

[1] 330
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2    0.927     1.240      1.48
strata=LOW  10       10   11.073     0.104      1.48

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.0164    0.3619   0.8716 -1.166 0.244

Likelihood ratio test=1.18  on 1 df, p=0.2764
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD EGFR 

[1] 331
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.86   0.00424   0.00847
strata=LOW  7        7     7.14   0.00288   0.00847

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05903   0.94268  0.64134 -0.092 0.927

Likelihood ratio test=0.01  on 1 df, p=0.9267
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BRD7 

[1] 332
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR1287 



============================

TCGA-COAD MIR23A 



============================

TCGA-COAD LCE2C 



============================

TCGA-COAD ADAMTS13 

[1] 333
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.54    0.0595    0.0911
strata=LOW  8        8     8.46    0.0249    0.0911

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1927    0.8247   0.6394 -0.301 0.763

Likelihood ratio test=0.09  on 1 df, p=0.7651
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SIRT3 

[1] 334
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.09  0.001837   0.00303
strata=LOW  8        8     7.91  0.000949   0.00303

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03513   1.03575  0.63806 0.055 0.956

Likelihood ratio test=0  on 1 df, p=0.956
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CIRBP 

[1] 335
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BRDT 

[1] 336
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=8, 38 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7    7.875    0.0972         7
strata=LOW  1        1    0.125    6.1250         7

 Chisq= 7  on 1 degrees of freedom, p= 0.008 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

               coef exp(coef)  se(coef)     z     p
strataLOW 2.200e+01 3.598e+09 2.267e+04 0.001 0.999

Likelihood ratio test=4.16  on 1 df, p=0.04142
n= 8, number of events= 8 
   (38 observations deleted due to missingness)


============================

TCGA-COAD KIF4A 

[1] 337
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.87   0.00369   0.00733
strata=LOW  7        7     7.13   0.00252   0.00733

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05427   0.94717  0.63414 -0.086 0.932

Likelihood ratio test=0.01  on 1 df, p=0.932
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CPEB1 



============================

TCGA-COAD LINC01833 



============================

TCGA-COAD MAPKAP1 

[1] 338
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.16    0.6013     0.752
strata=LOW  10       10    10.84    0.0646     0.752

 Chisq= 0.8  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7387    0.4777   0.8710 -0.848 0.396

Likelihood ratio test=0.65  on 1 df, p=0.4188
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ATF4 

[1] 339
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     2.74   0.02409    0.0354
strata=LOW  9        9     9.26   0.00714    0.0354

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1344    0.8742   0.7150 -0.188 0.851

Likelihood ratio test=0.03  on 1 df, p=0.852
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC7A11 

[1] 340
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9      9.2   0.00434     0.021
strata=LOW  3        3      2.8   0.01427     0.021

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1030    1.1084   0.7114 0.145 0.885

Likelihood ratio test=0.02  on 1 df, p=0.8856
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD EMC2 

[1] 341
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD WWTR1 

[1] 342
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     6.97     0.153     0.428
strata=LOW  4        4     5.03     0.212     0.428

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4443    0.6413   0.6844 -0.649 0.516

Likelihood ratio test=0.45  on 1 df, p=0.5038
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD HSPA5 

[1] 343
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BEX1 

[1] 344
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10    10.53    0.0264     0.241
strata=LOW   2        2     1.47    0.1885     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4107    1.5079   0.8420 0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PML 

[1] 345
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR142 



============================

TCGA-COAD AEBP2 

[1] 346
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GPAT4 

[1] 347
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.75     0.898      1.21
strata=LOW  9        9    10.25     0.153      1.21

 Chisq= 1.2  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8222    0.4395   0.7688 -1.069 0.285

Likelihood ratio test=1.07  on 1 df, p=0.2998
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CA9 

[1] 348
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10   11.097     0.108      1.54
strata=LOW   2        2    0.903     1.332      1.54

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 1.0034    2.7276   0.8422 1.191 0.233

Likelihood ratio test=1.21  on 1 df, p=0.2718
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD STK11 

[1] 349
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TBK1 

[1] 350
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CDKN2A 

[1] 351
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10     9.62    0.0148     0.082
strata=LOW   2        2     2.38    0.0599     0.082

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2309    0.7938   0.8078 -0.286 0.775

Likelihood ratio test=0.09  on 1 df, p=0.7702
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DCAF7 

[1] 352
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MTF1 

[1] 353
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MEG8 

[1] 354
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9    10.51     0.217       1.9
strata=LOW  3        3     1.49     1.535       1.9

 Chisq= 1.9  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.9773    2.6573   0.7360 1.328 0.184

Likelihood ratio test=1.58  on 1 df, p=0.2084
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CLTRN 

[1] 355
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     5.53     1.155      2.54
strata=LOW  9        9     6.47     0.986      2.54

 Chisq= 2.5  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z    p
strataLOW 1.2082    3.3473   0.7983 1.513 0.13

Likelihood ratio test=2.82  on 1 df, p=0.09329
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP11 

[1] 356
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GABARAPL2 

[1] 357
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CDKN1A 

[1] 358
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     7.23   0.00757    0.0226
strata=LOW  5        5     4.77   0.01149    0.0226

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)    z    p
strataLOW 0.09535   1.10005  0.63420 0.15 0.88

Likelihood ratio test=0.02  on 1 df, p=0.881
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NEDD4L 

[1] 359
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     7.96     0.483      1.55
strata=LOW  6        6     4.04     0.951      1.55

 Chisq= 1.6  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)    z     p
strataLOW 0.7516    2.1204   0.6161 1.22 0.222

Likelihood ratio test=1.49  on 1 df, p=0.2225
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AR 

[1] 360
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8    10.51     0.601      5.91
strata=LOW  4        4     1.49     4.247      5.91

 Chisq= 5.9  on 1 degrees of freedom, p= 0.02 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW 1.9195    6.8176   0.8941 2.147 0.0318

Likelihood ratio test=4.94  on 1 df, p=0.02617
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR20A 



============================

TCGA-COAD HMOX1 

[1] 361
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.76     0.408     0.678
strata=LOW  7        7     8.24     0.186     0.678

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.5260    0.5910   0.6455 -0.815 0.415

Likelihood ratio test=0.66  on 1 df, p=0.4172
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ZFP36 

[1] 362
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.86   0.00315   0.00687
strata=LOW  6        6     6.14   0.00301   0.00687

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05068   0.95058  0.61129 -0.083 0.934

Likelihood ratio test=0.01  on 1 df, p=0.9339
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR744 

[1] 363
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=10, 36 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     7.99     0.495      2.85
strata=LOW  4        4     2.01     1.968      2.85

 Chisq= 2.9  on 1 degrees of freedom, p= 0.09 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 1.2442    3.4703   0.7798 1.596 0.111

Likelihood ratio test=2.54  on 1 df, p=0.1107
n= 10, number of events= 10 
   (36 observations deleted due to missingness)


============================

TCGA-COAD CTSB 

[1] 364
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     4.58     0.543      1.06
strata=LOW  9        9     7.42     0.335      1.06

 Chisq= 1.1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.7950    2.2144   0.7905 1.006 0.315

Likelihood ratio test=1.17  on 1 df, p=0.2785
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AGPS 

[1] 365
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     4.35    0.0276      0.05
strata=LOW  8        8     7.65    0.0157      0.05

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1459    1.1571   0.6533 0.223 0.823

Likelihood ratio test=0.05  on 1 df, p=0.8225
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MT1DP 

[1] 366
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     7.52    0.0307    0.0997
strata=LOW  4        4     4.48    0.0516    0.0997

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2161    0.8057   0.6856 -0.315 0.753

Likelihood ratio test=0.1  on 1 df, p=0.749
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SNX4 

[1] 367
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NR4A1 

[1] 368
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     4.42     0.569     0.972
strata=LOW  6        6     7.58     0.331     0.972

 Chisq= 1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.5959    0.5511   0.6127 -0.973 0.331

Likelihood ratio test=0.95  on 1 df, p=0.3299
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MFN2 

[1] 369
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     2.07     1.808      2.61
strata=LOW  8        8     9.93     0.376      2.61

 Chisq= 2.6  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -1.1848    0.3058   0.7739 -1.531 0.126

Likelihood ratio test=2.35  on 1 df, p=0.1254
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SELENOI 

[1] 370
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.56      1.34      1.74
strata=LOW  9        9    10.44      0.20      1.74

 Chisq= 1.7  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.9751    0.3771   0.7686 -1.269 0.205

Likelihood ratio test=1.49  on 1 df, p=0.2226
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD AGAP2-AS1 

[1] 371
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     7.05     0.128     0.363
strata=LOW  4        4     4.95     0.183     0.363

 Chisq= 0.4  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4086    0.6646   0.6824 -0.599 0.549

Likelihood ratio test=0.38  on 1 df, p=0.5382
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TRIM46 

[1] 372
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     2.61     2.178      3.25
strata=LOW  7        7     9.39     0.607      3.25

 Chisq= 3.3  on 1 degrees of freedom, p= 0.07 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.1950    0.3027   0.6952 -1.719 0.0856

Likelihood ratio test=2.93  on 1 df, p=0.08695
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CYB5R1 

[1] 373
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARK7 

[1] 374
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1     0.82    0.0396    0.0452
strata=LOW  11       11    11.18    0.0029    0.0452

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2300    0.7945   1.0848 -0.212 0.832

Likelihood ratio test=0.04  on 1 df, p=0.8365
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CARS1 

[1] 375
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NOX1 

[1] 376
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     2.88     0.432     0.642
strata=LOW  8        8     9.12     0.137     0.642

 Chisq= 0.6  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.5343    0.5861   0.6745 -0.792 0.428

Likelihood ratio test=0.61  on 1 df, p=0.4352
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD VDR 

[1] 377
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     5.11     0.695      1.46
strata=LOW  5        5     6.89     0.517      1.46

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8245    0.4385   0.6993 -1.179 0.238

Likelihood ratio test=1.51  on 1 df, p=0.2191
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PROK2 

[1] 378
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     2.39      5.45      8.74
strata=LOW  6        6     9.61      1.36      8.74

 Chisq= 8.7  on 1 degrees of freedom, p= 0.003 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z      p
strataLOW -2.58808   0.07516  1.09935 -2.354 0.0186

Likelihood ratio test=8.48  on 1 df, p=0.003595
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FABP4 

[1] 379
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 11       11   11.615    0.0325      1.09
strata=LOW   1        1    0.385    0.9804      1.09

 Chisq= 1.1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z     p
strataLOW 1.142     3.134    1.156 0.988 0.323

Likelihood ratio test=0.79  on 1 df, p=0.374
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ABCB10 

[1] 380
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CP 

[1] 381
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10     8.63     0.219     0.858
strata=LOW   2        2     3.37     0.559     0.858

 Chisq= 0.9  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7269    0.4834   0.7998 -0.909 0.363

Likelihood ratio test=0.94  on 1 df, p=0.3318
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR4735 



============================

TCGA-COAD MIR130A 



============================

TCGA-COAD TUG1 

[1] 382
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.35    0.1259     0.193
strata=LOW  8        8     8.65    0.0488     0.193

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2855    0.7516   0.6522 -0.438 0.662

Likelihood ratio test=0.19  on 1 df, p=0.6649
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR9-3HG 

[1] 383
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     6.88   0.00196   0.00536
strata=LOW  5        5     5.12   0.00263   0.00536

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.04644   0.95462  0.63453 -0.073 0.942

Likelihood ratio test=0.01  on 1 df, p=0.9415
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR196C 



============================

TCGA-COAD IFNA21 

[1] 384
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=4, 42 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 2        2     2.33    0.0476     0.154
strata=LOW  2        2     1.67    0.0667     0.154

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.4812    1.6180   1.2380 0.389 0.697

Likelihood ratio test=0.16  on 1 df, p=0.6913
n= 4, number of events= 4 
   (42 observations deleted due to missingness)


============================

TCGA-COAD RP11-274B21.9 

[1] 385
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7      6.5    0.0389    0.0969
strata=LOW  5        5      5.5    0.0459    0.0969

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1966    0.8215   0.6327 -0.311 0.756

Likelihood ratio test=0.1  on 1 df, p=0.7541
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PVT1 

[1] 386
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     6.91     0.171     0.477
strata=LOW  4        4     5.09     0.232     0.477

 Chisq= 0.5  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4704    0.6248   0.6872 -0.685 0.494

Likelihood ratio test=0.5  on 1 df, p=0.4805
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR539 



============================

TCGA-COAD IFNA2 



============================

TCGA-COAD TFRC 

[1] 387
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.47    0.0504     0.107
strata=LOW  6        6     6.53    0.0423     0.107

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1999    0.8188   0.6135 -0.326 0.744

Likelihood ratio test=0.11  on 1 df, p=0.7454
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ALOX15B 

[1] 388
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9     9.34    0.0122    0.0596
strata=LOW  3        3     2.66    0.0427    0.0596

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.1699    1.1852   0.6969 0.244 0.807

Likelihood ratio test=0.06  on 1 df, p=0.8097
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MPC1 

[1] 389
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     4.04     0.957      1.69
strata=LOW  6        6     7.96     0.485      1.69

 Chisq= 1.7  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8441    0.4299   0.6652 -1.269 0.204

Likelihood ratio test=1.66  on 1 df, p=0.1982
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MTCH1 

[1] 390
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR324 

[1] 391
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=10, 36 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7     6.89   0.00178   0.00615
strata=LOW  3        3     3.11   0.00394   0.00615

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05604   0.94550  0.71459 -0.078 0.937

Likelihood ratio test=0.01  on 1 df, p=0.9373
n= 10, number of events= 10 
   (36 observations deleted due to missingness)


============================

TCGA-COAD SNHG14 

[1] 392
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8    10.15     0.454      3.37
strata=LOW  4        4     1.85     2.485      3.37

 Chisq= 3.4  on 1 degrees of freedom, p= 0.07 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW 1.2616    3.5312   0.7275 1.734 0.0829

Likelihood ratio test=2.85  on 1 df, p=0.09128
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PDK4 

[1] 393
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10    10.46    0.0199     0.164
strata=LOW   2        2     1.54    0.1346     0.164

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3259    1.3853   0.8074 0.404 0.686

Likelihood ratio test=0.15  on 1 df, p=0.6954
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD DUOX1 

[1] 394
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.58    0.0929     0.142
strata=LOW  9        9     8.42    0.0394     0.142

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2581    1.2945   0.6868 0.376 0.707

Likelihood ratio test=0.15  on 1 df, p=0.7021
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC00886 

[1] 395
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9   11.257     0.453      8.56
strata=LOW  3        3    0.743     6.857      8.56

 Chisq= 8.6  on 1 degrees of freedom, p= 0.003 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW  2.647    14.107    1.170 2.263 0.0236

Likelihood ratio test=6.16  on 1 df, p=0.01303
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NF2 

[1] 396
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR149 



============================

TCGA-COAD CYP4F8 

[1] 397
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=11, 35 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6      4.4     0.580      1.07
strata=LOW  5        5      6.6     0.387      1.07

 Chisq= 1.1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6675    0.5130   0.6565 -1.017 0.309

Likelihood ratio test=1.06  on 1 df, p=0.3029
n= 11, number of events= 11 
   (35 observations deleted due to missingness)


============================

TCGA-COAD AKR1C1 

[1] 398
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     7.58    0.0228    0.0764
strata=LOW  4        4     4.42    0.0392    0.0764

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1902    0.8268   0.6893 -0.276 0.783

Likelihood ratio test=0.08  on 1 df, p=0.7798
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PRKCA 

[1] 399
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     4.94     0.228     0.461
strata=LOW  6        6     7.06     0.159     0.461

 Chisq= 0.5  on 1 degrees of freedom, p= 0.5 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z   p
strataLOW -0.4407    0.6436   0.6538 -0.674 0.5

Likelihood ratio test=0.46  on 1 df, p=0.4957
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CD44 

[1] 400
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     5.29    0.0952     0.199
strata=LOW  6        6     6.71    0.0751     0.199

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2736    0.7607   0.6156 -0.444 0.657

Likelihood ratio test=0.2  on 1 df, p=0.6584
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FBXW7 

[1] 401
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.75     0.898      1.21
strata=LOW  9        9    10.25     0.153      1.21

 Chisq= 1.2  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.8222    0.4395   0.7688 -1.069 0.285

Likelihood ratio test=1.07  on 1 df, p=0.2998
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD YAP1 

[1] 402
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MTOR 

[1] 403
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.58    0.0929     0.142
strata=LOW  9        9     8.42    0.0394     0.142

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2581    1.2945   0.6868 0.376 0.707

Likelihood ratio test=0.15  on 1 df, p=0.7021
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD RICTOR 

[1] 404
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD WIPI2 

[1] 405
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1    0.653    0.1841     0.207
strata=LOW  11       11   11.347    0.0106     0.207

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4955    0.6093   1.0988 -0.451 0.652

Likelihood ratio test=0.18  on 1 df, p=0.6697
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD IREB2 

[1] 406
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GOT1 

[1] 407
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CD82 

[1] 408
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5      4.5    0.0557      0.11
strata=LOW  7        7      7.5    0.0334      0.11

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2119    0.8090   0.6412 -0.331 0.741

Likelihood ratio test=0.11  on 1 df, p=0.7434
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MAPK9 

[1] 409
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LGMN 

[1] 410
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.08  0.001892   0.00279
strata=LOW  9        9     8.92  0.000652   0.00279

 Chisq= 0  on 1 degrees of freedom, p= 1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW 0.03677   1.03746  0.69665 0.053 0.958

Likelihood ratio test=0  on 1 df, p=0.9578
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PARP2 

[1] 411
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  1        1     0.82    0.0396    0.0452
strata=LOW  11       11    11.18    0.0029    0.0452

 Chisq= 0  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2300    0.7945   1.0848 -0.212 0.832

Likelihood ratio test=0.04  on 1 df, p=0.8365
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MIR16-1 



============================

TCGA-COAD ATG4D 

[1] 412
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     2.77   0.01966    0.0277
strata=LOW  9        9     9.23   0.00589    0.0277

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1159    0.8906   0.6967 -0.166 0.868

Likelihood ratio test=0.03  on 1 df, p=0.8689
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD RBMS1 

[1] 413
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.26    0.1282     0.217
strata=LOW  7        7     7.74    0.0706     0.217

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2872    0.7504   0.6180 -0.465 0.642

Likelihood ratio test=0.21  on 1 df, p=0.6439
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD GSTZ1 

[1] 414
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     3.44    0.0570    0.0893
strata=LOW  9        9     8.56    0.0229    0.0893

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.2085    1.2319   0.6989 0.298 0.765

Likelihood ratio test=0.09  on 1 df, p=0.7626
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SRSF9 



============================

TCGA-COAD HIF1A 

[1] 415
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.35    0.1259     0.193
strata=LOW  8        8     8.65    0.0488     0.193

 Chisq= 0.2  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.2855    0.7516   0.6522 -0.438 0.662

Likelihood ratio test=0.19  on 1 df, p=0.6649
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FNDC3B 

[1] 416
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     3.53     0.615      1.06
strata=LOW  7        7     8.47     0.256      1.06

 Chisq= 1.1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)     z     p
strataLOW -0.6954    0.4989   0.6885 -1.01 0.313

Likelihood ratio test=1.03  on 1 df, p=0.3105
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD RHEBP1 



============================

TCGA-COAD PSEN1 

[1] 417
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ADIPOQ 

[1] 418
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 11       11     10.4     0.035     0.282
strata=LOW   1        1      1.6     0.227     0.282

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z   p
strataLOW -0.5619    0.5701   1.0704 -0.525 0.6

Likelihood ratio test=0.32  on 1 df, p=0.5734
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD MUC1 

[1] 419
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     6.82    0.0994     0.274
strata=LOW  6        6     5.18    0.1311     0.274

 Chisq= 0.3  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.3237    1.3822   0.6206 0.522 0.602

Likelihood ratio test=0.27  on 1 df, p=0.6042
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD CAV1 

[1] 420
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8     9.56     0.255      1.42
strata=LOW  4        4     2.44     0.998      1.42

 Chisq= 1.4  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z     p
strataLOW 0.8008    2.2272   0.6876 1.165 0.244

Likelihood ratio test=1.29  on 1 df, p=0.2555
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SEC24B 

[1] 421
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     1.47    0.1885     0.241
strata=LOW  10       10    10.53    0.0264     0.241

 Chisq= 0.2  on 1 degrees of freedom, p= 0.6 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.4107    0.6632   0.8420 -0.488 0.626

Likelihood ratio test=0.22  on 1 df, p=0.6362
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PRDX6 

[1] 422
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     4.86   0.00424   0.00847
strata=LOW  7        7     7.14   0.00288   0.00847

 Chisq= 0  on 1 degrees of freedom, p= 0.9 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z     p
strataLOW -0.05903   0.94268  0.64134 -0.092 0.927

Likelihood ratio test=0.01  on 1 df, p=0.9267
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TMEM161B-DT 

[1] 423
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 4        4     3.59    0.0476    0.0767
strata=LOW  8        8     8.41    0.0203    0.0767

 Chisq= 0.1  on 1 degrees of freedom, p= 0.8 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.1816    0.8339   0.6566 -0.277 0.782

Likelihood ratio test=0.08  on 1 df, p=0.7834
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PGD 

[1] 424
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2    0.737     2.167      2.49
strata=LOW  10       10   11.263     0.142      2.49

 Chisq= 2.5  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z    p
strataLOW -1.2855    0.2765   0.8715 -1.475 0.14

Likelihood ratio test=1.82  on 1 df, p=0.1779
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD RHOT1 

[1] 425
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.86     0.701     0.966
strata=LOW  9        9    10.14     0.128     0.966

 Chisq= 1  on 1 degrees of freedom, p= 0.3 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.7406    0.4768   0.7701 -0.962 0.336

Likelihood ratio test=0.88  on 1 df, p=0.3491
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ACSL1 

[1] 426
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.38     1.904      2.41
strata=LOW  9        9    10.62     0.247      2.41

 Chisq= 2.4  on 1 degrees of freedom, p= 0.1 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z    p
strataLOW -1.1420    0.3192   0.7739 -1.476 0.14

Likelihood ratio test=1.98  on 1 df, p=0.1593
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD NEDD4 

[1] 427
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     4.15     0.829      1.51
strata=LOW  6        6     7.85     0.438      1.51

 Chisq= 1.5  on 1 degrees of freedom, p= 0.2 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z    p
strataLOW -0.8021    0.4484   0.6681 -1.201 0.23

Likelihood ratio test=1.48  on 1 df, p=0.2234
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ELOVL5 

[1] 428
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH  2        2     2.49    0.0959     0.132
strata=LOW  10       10     9.51    0.0251     0.132

 Chisq= 0.1  on 1 degrees of freedom, p= 0.7 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z     p
strataLOW 0.291     1.338    0.804 0.362 0.717

Likelihood ratio test=0.14  on 1 df, p=0.7098
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD YY1AP1 

[1] 429
Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.98     0.521     0.741
strata=LOW  9        9    10.02     0.103     0.741

 Chisq= 0.7  on 1 degrees of freedom, p= 0.4 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z     p
strataLOW -0.6540    0.5200   0.7729 -0.846 0.397

Likelihood ratio test=0.68  on 1 df, p=0.4079
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

Display the results only for genes where a significant difference in survival has been reported.

significant_genes

 [1] "NQO1"         "ALOXE3"       "TTPA"         "ALOX12B"      "SLC1A5"       "PRKAA2"       "FADS1"        "PRR5"         "LINC01134"    "ARHGEF26-AS1" "SLC16A1-AS1" 
[12] "BRDT"         "AR"           "PROK2"        "LINC00886"   

num_significant_genes <- length(significant_genes)

if (num_significant_genes > 0) {
  for (i in 1 : num_significant_genes) {
    project <- significant_projects[[i]]
    gene <- significant_genes[[i]]
    
    cat(project, gene, "\n\n")
    gene_df <- construct_gene_df(gene, project)
    
    survival <- compute_survival_diff(gene_df)
    cox <- compute_cox(gene_df)
    print(survival)
    cat("\n")
    print(cox)
    print(plot_survival(fit))
    
    cat("\n\n============================\n\n")
  } 
}

TCGA-COAD NQO1 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     2.76      3.81      6.07
strata=LOW  6        6     9.24      1.14      6.07

 Chisq= 6.1  on 1 degrees of freedom, p= 0.01 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.8171    0.1625   0.8307 -2.187 0.0287

Likelihood ratio test=5.72  on 1 df, p=0.01675
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ALOXE3 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9    10.99      0.36      4.79
strata=LOW  3        3     1.01      3.91      4.79

 Chisq= 4.8  on 1 degrees of freedom, p= 0.03 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z      p
strataLOW 1.635     5.130    0.828 1.975 0.0483

Likelihood ratio test=3.55  on 1 df, p=0.05946
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD TTPA 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9   11.041     0.377      5.53
strata=LOW  3        3    0.959     4.345      5.53

 Chisq= 5.5  on 1 degrees of freedom, p= 0.02 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW 1.9221    6.8355   0.9345 2.057 0.0397

Likelihood ratio test=4.19  on 1 df, p=0.04074
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ALOX12B 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7        4      2.26      4.42
strata=LOW  5        5        8      1.13      4.42

 Chisq= 4.4  on 1 degrees of freedom, p= 0.04 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.6134    0.1992   0.8327 -1.938 0.0527

Likelihood ratio test=4.57  on 1 df, p=0.03252
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC1A5 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5      2.2     3.543      5.05
strata=LOW  7        7      9.8     0.798      5.05

 Chisq= 5  on 1 degrees of freedom, p= 0.02 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.5318    0.2162   0.7433 -2.061 0.0393

Likelihood ratio test=4.39  on 1 df, p=0.03613
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PRKAA2 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 11       11   11.826    0.0577      4.29
strata=LOW   1        1    0.174    3.9134      4.29

 Chisq= 4.3  on 1 degrees of freedom, p= 0.04 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW  2.350    10.488    1.415 1.661 0.0966

Likelihood ratio test=2.29  on 1 df, p=0.1301
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD FADS1 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 5        5     2.16     3.716      5.74
strata=LOW  7        7     9.84     0.818      5.74

 Chisq= 5.7  on 1 degrees of freedom, p= 0.02 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.8615    0.1554   0.8684 -2.144 0.0321

Likelihood ratio test=5.23  on 1 df, p=0.0222
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PRR5 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3     1.01      3.91      4.79
strata=LOW  9        9    10.99      0.36      4.79

 Chisq= 4.8  on 1 degrees of freedom, p= 0.03 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.6350    0.1949   0.8280 -1.975 0.0483

Likelihood ratio test=3.55  on 1 df, p=0.05946
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC01134 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7      4.1      2.06      3.95
strata=LOW  5        5      7.9      1.07      3.95

 Chisq= 4  on 1 degrees of freedom, p= 0.05 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

             coef exp(coef) se(coef)      z      p
strataLOW -1.5001    0.2231   0.8177 -1.835 0.0666

Likelihood ratio test=4.1  on 1 df, p=0.0428
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD ARHGEF26-AS1 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

             N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 10       10    11.44     0.181      4.35
strata=LOW   2        2     0.56     3.708      4.35

 Chisq= 4.4  on 1 degrees of freedom, p= 0.04 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

           coef exp(coef) se(coef)     z      p
strataLOW 1.848     6.344    1.011 1.827 0.0676

Likelihood ratio test=2.97  on 1 df, p=0.08482
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD SLC16A1-AS1 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 3        3    0.834      5.63      7.28
strata=LOW  9        9   11.166      0.42      7.28

 Chisq= 7.3  on 1 degrees of freedom, p= 0.007 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z      p
strataLOW -2.52855   0.07977  1.17716 -2.148 0.0317

Likelihood ratio test=5.57  on 1 df, p=0.01826
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD BRDT 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=8, 38 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 7        7    7.875    0.0972         7
strata=LOW  1        1    0.125    6.1250         7

 Chisq= 7  on 1 degrees of freedom, p= 0.008 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

               coef exp(coef)  se(coef)     z     p
strataLOW 2.200e+01 3.598e+09 2.267e+04 0.001 0.999

Likelihood ratio test=4.16  on 1 df, p=0.04142
n= 8, number of events= 8 
   (38 observations deleted due to missingness)


============================

TCGA-COAD AR 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 8        8    10.51     0.601      5.91
strata=LOW  4        4     1.49     4.247      5.91

 Chisq= 5.9  on 1 degrees of freedom, p= 0.02 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW 1.9195    6.8176   0.8941 2.147 0.0318

Likelihood ratio test=4.94  on 1 df, p=0.02617
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD PROK2 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 6        6     2.39      5.45      8.74
strata=LOW  6        6     9.61      1.36      8.74

 Chisq= 8.7  on 1 degrees of freedom, p= 0.003 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

              coef exp(coef) se(coef)      z      p
strataLOW -2.58808   0.07516  1.09935 -2.354 0.0186

Likelihood ratio test=8.48  on 1 df, p=0.003595
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

TCGA-COAD LINC00886 

Call:
survdiff(formula = Surv(overall_survival, deceased) ~ strata, 
    data = gene_df)

n=12, 34 observations deleted due to missingness.

            N Observed Expected (O-E)^2/E (O-E)^2/V
strata=HIGH 9        9   11.257     0.453      8.56
strata=LOW  3        3    0.743     6.857      8.56

 Chisq= 8.6  on 1 degrees of freedom, p= 0.003 

Call:
coxph(formula = Surv(overall_survival, deceased) ~ strata, data = gene_df)

            coef exp(coef) se(coef)     z      p
strataLOW  2.647    14.107    1.170 2.263 0.0236

Likelihood ratio test=6.16  on 1 df, p=0.01303
n= 12, number of events= 12 
   (34 observations deleted due to missingness)


============================

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1. De La Salle University, Manila, Philippines, gonzales.markedward@gmail.com↩︎

2. De La Salle University, Manila, Philippines, anish.shrestha@dlsu.edu.ph↩︎