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Dataset Information

Survival-related genes are diversified across cancers but generally enriched in cancer hallmark pathways.


ABSTRACT:

Background

Pan-cancer studies have disclosed many commonalities and differences in mutations, copy number variations, and gene expression alterations among cancers. Some of these features are significantly associated with clinical outcomes, and many prognosis-predictive biomarkers or biosignatures have been proposed for specific cancer types. Here, we systematically explored the biological functions and the distribution of survival-related genes (SRGs) across cancers.

Results

We carried out two different statistical survival models on the mRNA expression profiles in 33 cancer types from TCGA. We identified SRGs in each cancer type based on the Cox proportional hazards model and the log-rank test. We found a large difference in the number of SRGs among different cancer types,

SUBMITTER: Wang PW 

PROVIDER: S-EPMC9066720 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature