Identification of key genes and pathways associated with cholangiocarcinoma development based on weighted gene correlation network analysis.

ABSTRACT:

Background

As the most frequently occurred tumor in biliary tract, cholangiocarcinoma (CCA) is mainly characterized by its late diagnosis and poor outcome. It is therefore urgent to identify specific genes and pathways associated with its progression and prognosis.

Materials and methods

The differentially expressed genes in The Cancer Genome Atlas were analyzed to build the co-expression network by Weighted gene co-expression network analysis (WGCNA). Gene ontology (GO) as well as Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were conducted for the selected genes. Module-clinical trait relationships were analyzed to explore the association with clinicopathological parameters. Log-rank tests and cox regression were used to identify the prognosis-related genes.

Re

SUBMITTER: Liu J 

PROVIDER: S-EPMC6825751 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature