Pancancer modelling predicts the context-specific impact of somatic mutations on transcriptional programs.

ABSTRACT: Pancancer studies have identified many genes that are frequently somatically altered across multiple tumour types, suggesting that pathway-targeted therapies can be deployed across diverse cancers. However, the same 'actionable mutation' impacts distinct context-specific gene regulatory programs and signalling networks-and interacts with different genetic backgrounds of co-occurring alterations-in different cancers. Here we apply a computational strategy for integrating parallel (phospho)proteomic and mRNA sequencing data across 12 TCGA tumour data sets to interpret the context-specific impact of somatic alterations in terms of functional signatures such as (phospho)protein and transcription factor (TF) activities. Our analysis predicts distinct dysregulated transcriptional regulators down

SUBMITTER: Osmanbeyoglu HU 

PROVIDER: S-EPMC5290314 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature