An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types.

ABSTRACT:

Motivation

Identification of altered pathways that are clinically relevant across human cancers is a key challenge in cancer genomics. Precise identification and understanding of these altered pathways may provide novel insights into patient stratification, therapeutic strategies and the development of new drugs. However, a challenge remains in accurately identifying pathways altered by somatic mutations across human cancers, due to the diverse mutation spectrum. We developed an innovative approach to integrate somatic mutation data with gene networks and pathways, in order to identify pathways altered by somatic mutations across cancers.

Results

We applied our approach to The Cancer Genome Atlas (TCGA) dataset of somatic mutations in 4790 cancer patients with 19 different t

SUBMITTER: Park S 

PROVIDER: S-EPMC4892411 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature