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Integrative Machine Learning and Bioinformatics Approach for Identifying Key Biomarkers in Gallbladder Cancer

Rabea Khatun1,2, Wahia Tasnim3, Maksuda Akter1

  • 1Department of Computer Science and Engineering, Jagannath University, Dhaka, Bangladesh.

IET Systems Biology
|June 17, 2025
PubMed
Summary
This summary is machine-generated.

This study identifies key genes, including SLIT3, COL7A1, and CLDN4, as potential biomarkers for gallbladder cancer (GBC). These findings can improve early GBC diagnosis and prognosis.

Keywords:
PPI networkbioinformaticsfeature selectiongall bladder cancerhub genesmachine learning

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Area of Science:

  • Oncology
  • Bioinformatics
  • Genomics

Background:

  • Gallbladder cancer (GBC) is the most common biliary tract neoplasm.
  • Identifying reliable biomarkers for GBC initiation and progression is crucial but challenging.

Purpose of the Study:

  • To identify novel biomarkers for GBC using machine learning and bioinformatics approaches.
  • To evaluate the diagnostic and prognostic potential of identified gene markers.

Main Methods:

  • Differential gene expression analysis of two microarray datasets (GSE100363, GSE139682).
  • Gene Ontology and pathway enrichment analyses.
  • Protein-protein interaction network construction and hub gene identification.
  • Machine learning model training (SVM, NB, RF) and validation for biomarker prediction.
  • External validation using the GEPIA database.

Main Results:

  • Identified 146 differentially expressed genes (DEGs) in GBC, including 39 upregulated and 107 downregulated.
  • Discovered eleven hub genes, with SLIT3, COL7A1, and CLDN4 showing strong correlation with GBC.
  • Machine learning models confirmed the diagnostic potential of these key genes.
  • Highlighted a panel of 11 genes (NTRK2, COL14A1, SCN4B, ATP1A2, SLC17A7, SLIT3, COL7A1, CLDN4, CLEC3B, ADCYAP1R1, MFAP4) as crucial for GBC.

Conclusions:

  • SLIT3, COL7A1, and CLDN4 are identified as highly predictive biomarkers for GBC.
  • The findings support improved early diagnosis and prognosis of GBC.
  • The identified biomarkers can aid clinical decision-making for gallbladder cancer patients.