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Updated: Mar 23, 2026
13:56
A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
Published on: July 18, 2013
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Pathogenic Network Analysis Predicts Candidate Genes for Cervical Cancer.
1The 2nd Department of Gynecology, The Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, China.
Computational and Mathematical Methods in Medicine
|April 2, 2016
Summary
This study identified 52 candidate genes, including VIM, MMP1, CDC45, and CAT, involved in cervical cancer (CC) pathogenesis using a network-based strategy. These findings offer insights into CC development and potential therapeutic targets.
Area of Science:
- Genomics
- Bioinformatics
- Oncology
Background:
- Cervical cancer (CC) remains a significant global health concern.
- Understanding the molecular mechanisms underlying CC pathogenesis is crucial for developing effective treatments.
Purpose of the Study:
- To identify candidate pathogenic genes in cervical cancer (CC) using a network-based approach.
- To elucidate the pathogenic processes involved in CC development.
Main Methods:
- Constructed a pathogenic network for CC using seed genes and differentially expressed genes (DEGs).
- Applied cluster analysis (ClusterONE) to identify key subnetworks.
- Assigned weights to genes and identified candidate genes based on weight distribution.
- Performed pathway enrichment analysis on candidate genes.
Main Results:
- Identified 330 DEGs between CC and normal tissues.
- Extracted two highly connected subnetworks from the pathogenic network.
- Detected 52 candidate genes with weights greater than 0.10.
- VIM exhibited the highest weight; MMP1, CDC45, and CAT were enriched in cancer pathway, cell cycle, and methane metabolism, respectively.
Conclusions:
- Identified potential pathogenic genes (MMP1, CDC45, CAT, VIM) implicated in CC.
- Results provide a theoretical basis for future clinical applications in CC.
- The network-based strategy effectively predicted candidate genes for CC pathogenesis.
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