Development and validation of a prognosis prediction model for overall survival in correlation between butyrate metabolism and gastric cancer prognosis: Mendelian randomization and transcriptomics analysis.

ABSTRACT:

Background

Gastric cancer (GC) remains a leading cause of cancer-related mortality due to its late diagnosis and poor prognosis. Butyrate metabolism (BM) has demonstrated significant roles in tumor biology, but its prognostic implications in GC remain unexplored. We aimed to investigate the effect of butyrate metabolic biomarkers on the prognosis of GC.

Methods

We acquired datasets from The Cancer Genome Atlas and Gene Expression Omnibus. Differential BM-related genes (BMGs) were identified using weighted gene co-expression network analysis (WGCNA). Patients were stratified into subtypes, and a prognostic model was constructed using least absolute shrinkage and selection operator (LASSO) regression. Mendelian randomization (MR) analysis was conducted using genetic variants a

SUBMITTER: Gu R 

PROVIDER: S-EPMC11912061 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature