Hypoxia-associated genes as predictors of outcomes in gastric cancer: a genomic approach.

ABSTRACT:

Objective

To investigate the effects of hypoxia-related genes in stomach adenocarcinoma (STAD) and construct an excellent prognostic model.

Methods

RNA expression data and clinical details were retrieved from the TCGA and GEO database dataset. scRNA-seq analysis was conducted on primary gastric cancer samples from GSE183904. Cellular hypoxia status was predicted using the CHPF software. WGCNA and GO-BP/KEGG enrichment of module genes analyses were performed to identify gene modules associated with hypoxia and biological pathway enrichment. A prognostic model was developed employing the LassoCox algorithm. GES-1, AGS, BGC823, and MGC803 cell lines were obtained for qRT-PCR analysis to identify the expression of model genes.

Results

Single-cell atlas within STAD delinea

SUBMITTER: Yang S 

PROVIDER: S-EPMC11931070 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature