Feature Selection Algorithms Combined with Experimental Validation Reveal COL10A1 and TMPRSS4 Genes as Potential Diagnostic Biomarkers in Pancreatic Ductal Adenocarcinoma.

Background: Pancreatic adenocarcinoma (PAAD) is often diagnosed at a late stage, preventing curative surgery. Early detection is crucial for improving patient outcomes. This study aims to discover potential biomarkers for identifying asymptomatic PAAD tumors. Method: In this case-control study, two...

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Published in:Middle East Journal of Cancer Vol. 16; no. 3; pp. 210 - 228
Main Authors: Shajari, Neda, Ramezani, Amin, Tahmasebi, Ahmad, Anbardar, Mohammad Hossein, Roshanizadeh, Zahra, Ghaderi, Abbas
Format: research tables/charts Journal Article
Published: Middle East Journal of Cancer Jul2025
Online Access:View this record in EBSCOhost
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      dt: Jul2025
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      pub: Middle East Journal of Cancer
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        187182271
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        10.30476/mejc.2024.102622.2100
        187182271
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        atl: Feature Selection Algorithms Combined with Experimental Validation Reveal COL10A1 and TMPRSS4 Genes as Potential Diagnostic Biomarkers in Pancreatic Ductal Adenocarcinoma.
      aug:
        au:
          Shajari, Neda
          Ramezani, Amin
          Tahmasebi, Ahmad
          Anbardar, Mohammad Hossein
          Roshanizadeh, Zahra
          Ghaderi, Abbas
        affil: Department of Immunology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
      sug:
        subj:
          Pancreatic Neoplasms Diagnosis
          Carcinoma, Ductal Diagnosis
          Genetic Markers
          Genetic Algorithms
          Gene Expression Profiling
          Polymerase Chain Reaction
          Predictive Value of Tests
          Sensitivity and Specificity
          Human
          Male
          Female
          Adult
          Iran
          Academic Medical Centers
          Case Control Studies
          Cancer Patients
          Bioinformatics
          Validation Studies
          Mann-Whitney U Test
          Unpaired T-Tests
          ROC Curve
          Pearson's Correlation Coefficient
          Descriptive Statistics
          Data Analysis Software
          Signal Transduction
          Extracellular Matrix
          Funding Source
          Pancreatic Neoplasms Familial and Genetic
          Carcinoma, Ductal Familial and Genetic
          Adult: 19-44 years
          Male
          Female
      ab: Background: Pancreatic adenocarcinoma (PAAD) is often diagnosed at a late stage, preventing curative surgery. Early detection is crucial for improving patient outcomes. This study aims to discover potential biomarkers for identifying asymptomatic PAAD tumors. Method: In this case-control study, two gene expression datasets of PAAD and normal samples were collected from GEO and TCGA databases. Independent analyses of these datasets were conducted, leading to the identification of genes common to both datasets. Gene ontology and pathway enrichment analyses for the feature genes were conducted. Following our strict criteria, three feature genes for experimental validation were selected. The reliability of the selected feature genes was determined through quantitative real-time polymerase chain reaction (qRT-PCR). Data were analyzed using GraphPad Prism 8 software, employing the Mann-Whitney test and unpaired t-test. A P-value of <0.05 was considered statistically significant. Results: A total number of 33 genes common to both GEO and TCGA datasets were identified. Gene ontology and pathway enrichment methods revealed that the selected genes were primarily associated with proteolysis and extracellular matrix organization. Based on our criteria, three feature genes (COL10A1, CTHRC1, and TMPRSS4) were selected for experimental validation. The results of qRT-PCR on independent patient samples demonstrated that the expression levels of COL10A1 and TMPRSS4 were significantly upregulated in PAAD tissues as compared with normal pancreatic tissues. In contrast, CTHRC1 expression levels did not change significantly in PAAD in comparison with normal samples. Conclusion: Our findings suggest that COL10A1 and TMPRSS4 can be attractive biomarkers for the mRNA-based diagnosis of PAAD.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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