Identification of key genes associated with the progression of intrahepatic cholangiocarcinoma using weighted gene co-expression network analysis.

ABSTRACT: The present study aimed to identify the key genes that are associated with the progression of intrahepatic cholangiocarcinoma through weighted gene co-expression network analysis (WGCNA). A total of three gene datasets were downloaded from the Gene Expression Omnibus database, including GSE107943, GSE119336 and GSE26566. Differentially expressed genes (DEGs) between intrahepatic cholangiocarcinoma tissues and adjacent liver tissues were identified using GSE107943, while tissue specific genes between bile duct and liver tissues were identified using GSE26566. Following the removal of tissue-specific genes, real DEGs were used to construct the WGCNA to investigate the association between gene modules and clinical traits. Following functional analysis, pathway enrichment analysis and the cons

SUBMITTER: Ye Z 

PROVIDER: S-EPMC7286119 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature