Genomic landscape and mutational impacts of recurrently mutated genes in cancers.

ABSTRACT:

Background

Cancer genes tend to be highly mutated under positive selection. Better understanding the recurrently mutated genes (RMGs) in cancer is critical for explicating the mechanisms of tumorigenesis and providing vital clues for therapy. Although some studies have investigated functional impacts of RMGs in specific cancer types, a comprehensive analysis of RMGs and their mutational impacts across cancers is still needed.

Methods

We obtained data from The Cancer Genome Atlas (TCGA) and calculated mutation rate of each gene in 31 cancer types. Functional analysis was performed to identify the important signaling pathways and enriched protein types of RMGs. In order to evaluate functional impacts of RMGs, differential expression, survival, and pairwise mutation patterns an

SUBMITTER: Liu B 

PROVIDER: S-EPMC6305651 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature