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Updated: May 13, 2026
Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
Integrated gene-metabolite association network analysis reveals key metabolic pathways in gastric adenocarcinoma
Botao Xu1, Yuying Shi2,3,4, Chuang Yuan5
1Department of Gastrointestinal Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan, China.
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 revealed four key gene-metabolite pathways which include eleven metabolites associated with modulated genes. The integrated gene-metabolite association network enables mechanistic investigation and provides a comprehensive overview regarding the investigation of molecular mechanisms of gastric cancer, which facilitates the in-depth understanding of metabolic biomarker roles in gastric cancer.
Insights
This study maps gene-metabolite networks in gastric cancer, identifying key pathways and biomarkers. Understanding these metabolic disruptions aids in developing new diagnostic and therapeutic strategies for this deadly cancer.
Area of Science:
- Oncology
- Metabolomics
- Systems Biology
Background:
- Gastric adenocarcinoma is a leading cause of cancer mortality globally.
- Metabolomics offers insights into cancer progression and biomarker discovery through small molecule profiling.
- Understanding disrupted metabolites is crucial for deciphering gastric cancer's cellular mechanisms.
Purpose of the Study:
- To construct a knowledge-based gene-metabolite association network for gastric cancer.
- To identify key gene-metabolite pathways and associated molecules in gastric cancer.
- To facilitate mechanistic investigation and understanding of metabolic biomarkers in gastric cancer.
Main Methods:
- Construction of a gene-metabolite association network using dysregulated genes and metabolites from gastric cancer patients and controls.
- Application of topological pathway analysis.
- Utilizing gene-protein-metabolite-disease association analysis.
Main Results:
- A knowledge-based gene-metabolite association network for gastric cancer was successfully constructed.
- Four key gene-metabolite pathways involving eleven metabolites and modulated genes were identified.
- The network provided a comprehensive overview of molecular mechanisms in gastric cancer.
Conclusions:
- The integrated gene-metabolite network facilitates mechanistic investigation of gastric cancer.
- This approach enhances the understanding of metabolic biomarker roles in gastric cancer.
- Findings support the development of targeted diagnostics and therapeutics for gastric cancer.
