Identification of therapeutic targets and prognostic biomarkers in cholangiocarcinoma via WGCNA.

ABSTRACT:

Background

Cholangiocarcinoma (CCA) is a highly aggressive malignant tumor for which limited treatment methods and prognostic signatures are available. This study aims to identify potential therapeutic targets and prognostic biomarkers for CCA.

Methods

Based on differentially expressed genes (DEGs) identified from The Cancer Genome Atlas (TCGA) data, our study identified key gene modules correlated with CCA patient survival by weighted gene coexpression network analysis (WGCNA). Cox regression analysis identified survival-related genes in the key gene modules. The biological properties of the survival-related genes were evaluated by CCK-8 and transwell assays. Then, these genes were used to construct a prognostic signature that was internally and externally validated. Additi

SUBMITTER: Xu L 

PROVIDER: S-EPMC9795187 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature