Ontology highlight
ABSTRACT: Objective
This study aimed to characterize gut microbiota-derived faecal metabolites and evaluate their associations with serum biochemical indices and tumor markers in gastric cancer patients residing in high-altitude regions, using untargeted metabolomics.Methods
Stool samples from 30 newly diagnosed gastric cancer patients and 30 healthy controls from Qinghai Province were analyzed using LC-MS-based untargeted metabolomics. Serum biomarkers-including proteins, lipids, and tumor markers-were concurrently measured. Multivariate analysis, fold-change filtering, and correlation analysis were used to identify differential metabolites and their associations with clinical phenotypes. False discovery rate (FDR) correction was applied to reduce false positives.Results
A t
SUBMITTER: Zhu L
PROVIDER: S-EPMC12504170 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature