Integrated gene-metabolite association network analysis reveals key metabolic pathways in gastric adenocarcinoma.

ABSTRACT: Gastric adenocarcinoma is one of the most death cause cancers worldwide. Metabolomics is an effective approach for investigating the occurrence and progression of cancer and detecting prognostic biomarkers by studying the profiles of small bioactive molecules. To fully decipher the functional roles of the disrupted metabolites that modulate the cellular mechanism of gastric cancer, integrated gene-metabolite association network methods are critical to map the associations between metabolites and genes. In this study, we constructed a knowledge-based gene-metabolite association network of gastric cancer using the dysregulated metabolites and genes between gastric cancer patients and control group. The topological pathway analysis and gene-protein-metabolite-disease association analysis reve

SUBMITTER: Xu B 

PROVIDER: S-EPMC11419903 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature