Co-expression network analysis identified CDH11 in association with progression and prognosis in gastric cancer.

ABSTRACT:

Background and aims

Gastric cancer (GC) is one of the most common cancers worldwide, and its pathogenesis is related to a complex network of gene interactions. The aims of our study were to find hub genes associated with the progression and prognosis of GC and illustrate the underlying mechanisms.

Methods

Weighted gene co-expression network analysis (WGCNA) was conducted using the microarray dataset and clinical data of GC patients from Gene Expression Omnibus (GEO) database to identify significant gene modules and hub genes associated with TNM stage in GC. Functional enrichment analysis and protein-protein interaction network analysis were performed using the significant module genes. We regarded the common hub genes in the co-expression network and protein-protein interact

SUBMITTER: Chen PF 

PROVIDER: S-EPMC6174304 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature