Identification of novel prognosis-related genes associated with cancer using integrative network analysis.

ABSTRACT: Prognosis identifies the seriousness and the chances of survival of a cancer patient. However, it remains a challenge to identify the key cancer genes in prognostic studies. In this study, we collected 2064 genes that were related to prognostic studies by using gene expression measurements curated from published literatures. Among them, 1820 genes were associated with copy number variations (CNVs). The further functional enrichment on 889 genes with frequent copy number gains (CNGs) revealed that these genes were significantly associated with cancer pathways including regulation of cell cycle, cell differentiation and mitogen-activated protein kinase (MAPK) cascade. We further conducted integrative analyses of CNV and their target genes expression using the data from matched tumour samples

SUBMITTER: Wee Y 

PROVIDER: S-EPMC5818516 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature