Identification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma.

ABSTRACT:

Background

A risk assessment model for prognostic prediction of colon adenocarcinoma (COAD) was established based on weighted gene co-expression network analysis (WGCNA).

Methods

From the Cancer Genome Atlas (TCGA) database, RNA-seq data and clinical data of COAD patients were retrieved. After screening of differentially expressed genes (DEGs), WGCNA was performed to identify gene modules and screen those associated with COAD progression. Then, via protein-protein interaction (PPI) network construction of module genes, hub genes were obtained, which were then subjected to the least absolute shrinkage and selection operator (LASSO) and Cox regression to build a hub gene-based prognostic scoring model. The receiver operating characteristic curve (ROC curve) was plotted for the

SUBMITTER: Yang M 

PROVIDER: S-EPMC8983226 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature