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Determination of Critical Genes and Key Regulatorys in Colorectal Cancer with Meta- and Network Analysis of
Razieh Fatehi1, Elham Abbasi2,3, Farinaz Khosravian2,3
1Department of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Iran.
Advanced Biomedical Research
|October 24, 2025
Summary
This study used gene expression meta-analysis to identify key genes and microRNAs in colorectal cancer, revealing potential biomarkers and drug targets for tumor progression. The findings highlight essential genes and their regulation for future research.
Area of Science:
- Oncology
- Bioinformatics
- Molecular Biology
Background:
- High-throughput data generation advances cancer research, offering insights into tumor progression.
- Gene expression meta-analysis integrates data for accurate identification of molecular pathway changes.
- Colorectal cancer (CRC) analysis aims to discover novel biomarkers and therapeutic targets.
Purpose of the Study:
- To identify differentially expressed genes (DEGs) in colorectal cancer through meta-analysis.
- To construct an integrated network of genes, microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and transcription factors (TFs).
- To determine potential biomarkers and drug targets for colorectal cancer.
Main Methods:
- Systematic search of the Gene Expression Omnibus (GEO) database.
- Meta-analysis using NetworkAnalyst to identify DEGs.
- Enrichr database for miRNA, lncRNA, and TF enrichment analysis.
- Network construction and analysis using Cytoscape; downstream hub gene analysis.
Main Results:
- Identified key candidate genes (e.g., HNF4A, FLI1, MITF) and non-coding RNAs (e.g., hsa-miR-26b-5p, hsa-miR-16-5p).
- Assessed clinical significance via mutation, differential expression, and survival analyses.
- Determined drugs associated with candidate genes and identified cancer progression-related pathways.
Conclusions:
- Systems biology approaches provide a holistic view for identifying essential genes and regulatory mechanisms.
- The identified genes and regulatory networks offer possibilities for further experimental validation.
- This study contributes to understanding colorectal cancer molecular mechanisms and identifying therapeutic strategies.
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