Related Experiment Video
Updated: Nov 22, 2025
07:50
Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
5.8K
A predictive model for assessing prognostic risks in gastric cancer patients using gene expression and methylation
Dan Luo1, QingLing Yang2, HaiBo Wang1
1Department of General Surgery, Chengdu Fifth People's Hospital, 33 Mashi St, Chengdu, 610000, Sichuan, China.
BMC Medical Genomics
|January 7, 2021
Summary
This study identifies 12 key methylated genes for gastric cancer (GC) prognosis. These genes form a novel model to predict patient risk, aiding in clinical decision-making for GC.
Area of Science:
- Oncology
- Epigenetics
- Genomics
Background:
- Epigenetic reprogramming's role in gastric cancer (GC) is unclear.
- Need for reliable prognostic markers in GC.
Purpose of the Study:
- Identify methylated gene markers for GC prognosis.
- Develop a predictive model for GC patient outcomes.
Main Methods:
- Meta-analysis of five GEO datasets (gene expression and methylation).
- Identified differentially expressed and methylated genes (DEGs/DEMGs).
- Developed and validated a prognostic model using signature genes and clinical data.
Main Results:
- Identified 1565 DEGs and 3754 DEMGs.
- Found 369 genes differentially expressed and methylated.
- Developed a 12-signature gene prognostic model for GC, validated in a separate dataset.
Conclusions:
- Differential methylation of 12 signature genes (e.g., VEGFC, FBP1) offers a functional predictive model.
- This model can evaluate GC prognosis in clinical settings.
- Potential for improved clinical management of gastric cancer.
