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Evaluation of Specific Lncrnas, Mirnas, and Mrnas in Different Groups of Prostate Cancer Publisher



Vahabzadeh G1, 2 ; Pashapouryeganeh A3 ; Eini M3 ; Roudbaraki M4 ; Esmati E5 ; Poorkhani A6 ; Khalighfard S7 ; Alizadeh AM3
Authors
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Authors Affiliations
  1. 1. Razi Drug Research Center, Iran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Pharmacology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
  3. 3. Cancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Laboratory of Cell Physiology, Inserm U1003, University of Lille, Villeneuve d’Ascq, France
  5. 5. Radiation Oncology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Ischemic Disorders Research Center, Golestan University of Medical Sciences, Gorgan, Iran
  7. 7. Research Center for Development of Advanced Technologies, Tehran, Iran

Source: BioImpacts Published:2025


Abstract

Introduction: LncRNAs interact with miRNAs and mRNAs that can have a special expression pattern in a specific cell type. We investigated the specific lncRNAs, miRNAs, and mRNAs in different groups of prostate cancer (PC). Methods: The mRNAs with significant expression differences were first analyzed using the GEO and TCGA databases. The lncRNAs and miRNAs were then identified in the miRWalk2, miRmap, OncomiR, miRGator 3.0, miRCancerDB, LncRNA2target, TANRIC, LncRNADisease, Lnc2Cancer v3.0, and LncBase. Seventy subjects, including sixty PC patients classified as local, locally advanced, biochemical relapse, metastatic, and benign groups, as well as ten normal individuals, were then included. Finally, real-time PCR determined the expression of the candidate biomarkers. Results: The bioinformatics analysis detected candidate 6 miRNAs, 6 lncRNAs, and 6 mRNAs in different groups of PC patients. Unlike the significant decrease in candidate tumor suppressors, the expression levels of specific onco-lncRNA, onco-miRNA, and oncogenes exhibited a substantial increase in different groups of the patients compared to the normal group. The expression of lncRNAs, including LINC01128 (P= 0.0182), LINC02246 (P< 0.0001), and LINC02288 (P< 0.0001), LINC00857 (P< 0.0001), GNAS-AS1 (P< 0.0001), and LINC02371 (P< 0.0001), the expression of miRNAs, including miR-217 (P< 0.0001), miR-375 (P< 0.0001), miR-203a (P< 0.0001), miR-876 (P= 0.0046), miR-27b (P< 0.0001), and miR-152 (P< 0.0001), and the expression of oncogenes, including ST14 (P< 0.0001), CD24 (P< 0.0001), CDH1 (P< 0.0001), DSC2 (P< 0.0001), TGFB3 (P< 0.0001), and MYL2 (P= 0.0186) had significant changes at different groups of PC patients. Conclusion: Our results identified promising biomarkers that play a role in specific groups of prostate cancer patients. Detecting specific biomarkers may be an effective strategy for different groups of PC patients. © 2025 The Author(s).
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