Candidate genes in gastric cancer identified by constructing a weighted gene co-expression network.

ABSTRACT:

Background

Gastric cancer (GC) is one of the most common cancers with high mortality globally. However, the molecular mechanisms of GC are unclear, and the prognosis of GC is poor. Therefore, it is important to explore the underlying mechanisms and screen for novel prognostic markers and treatment targets.

Methods

The genetic and clinical data of GC patients in The Cancer Genome Atlas (TCGA) was analyzed by weighted gene co-expression network analysis (WGCNA). Modules with clinical significance and preservation were distinguished, and gene ontology and pathway enrichment analysis were performed. Hub genes of these modules were validated in the TCGA dataset and another independent dataset from the Gene Expression Omnibus (GEO) database by t-test. Furthermore, the signi

SUBMITTER: Chen J 

PROVIDER: S-EPMC5937478 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature