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Related Experiment Video

Updated: Apr 28, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

Machine Learning Identification of Metabolism-Related Biomarkers with Diagnostic Potential for Gastric Cancer:

Weihao Kong^1,2, Jiawen Wang¹, Kangjie Zhang²

¹Department of Emergency Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.

International Journal of General Medicine

|April 27, 2026

Summary

Metabolic syndrome and gastric cancer share hub genes CSE1L, IL32, and CCDC86, potentially serving as biomarkers. These findings illuminate molecular links and support further research into metabolic syndrome and gastric cancer.

Keywords:

diagnosis gastric cancer immune infiltration metabolic syndrome

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Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

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Area of Science:

Oncology
Metabolic Disorders
Genomics

Background:

Growing evidence links metabolic syndrome with gastric cancer.
Shared genetic signatures and molecular mechanisms require elucidation.

Purpose of the Study:

Identify shared genetic signatures between metabolic syndrome and gastric cancer.
Elucidate molecular mechanisms and potential biomarkers linking these conditions.

Main Methods:

Transcriptomic data analysis using Limma and WGCNA.
Hub gene identification via Lasso, SVM, and XGBoost.
Immune infiltration, metabolic scores, single-cell, and spatial transcriptomic analyses were performed.

Main Results:

CSE1L, IL32, and CCDC86 identified as shared hub genes.
Hub genes correlate with immune infiltration and metabolic pathways.
Upregulation of hub genes observed in gastric cancer tissues and tumor regions.

Conclusions:

CSE1L, IL32, and CCDC86 may serve as metabolism-related biomarkers for gastric cancer.
Findings offer insights into molecular links between metabolic syndrome and gastric cancer.
Supports further mechanistic studies and clinical validation.