Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis.

ABSTRACT:

Background

Modern high-throughput genomic technologies represent a comprehensive hallmark of molecular changes in pan-cancer studies. Although different cancer gene signatures have been revealed, the mechanism of tumourigenesis has yet to be completely understood. Pathways and networks are important tools to explain the role of genes in functional genomic studies. However, few methods consider the functional non-equal roles of genes in pathways and the complex gene-gene interactions in a network.

Results

We present a novel method in pan-cancer analysis that identifies de-regulated genes with a functional role by integrating pathway and network data. A pan-cancer analysis of 7158 tumour/normal samples from 16 cancer types identified 895 genes with a central role in pathways a

SUBMITTER: Cava C 

PROVIDER: S-EPMC5756345 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature