Prognostic microRNAs as biomarkers for prostate cancer.

J Cancer Res Ther

Department of Biotechnology, PSG College of Technology, Coimbatore Tamil Nadu, India.

Published: January 2024

AI Article Synopsis

  • Prostate cancer is the second most common cancer in men, and this study focuses on identifying miRNA biomarkers that influence gene expression related to the disease.
  • The research involved analyzing data from prostate cancer patients and controls to identify differentially expressed miRNAs, concluding that hsa-mir-133b and hsa-mir-17-5p are significantly linked to prostate cancer prognosis.
  • Moreover, the study reveals a connection between the HAS2 gene and the epidermal growth factor receptor (EGFR) through a protein-protein interaction network, emphasizing the need for further validation of these findings.

Article Abstract

Objective: Prostate cancer is the second largest cancer, most commonly diagnosed in men. Several studies reveal that miRNAs (microRNAs) are involved in various stages of prostate cancer. miRNAs are a family of small non-coding RNA species that have been implicated in the post-transcriptional regulation of gene expression. The present in silico study aims at identifying miRNA biomarkers that are significantly associated with the regulation of genes involved in prostate cancer.

Methods: Dataset of miRNA and mRNA of prostate adenocarcinoma patients and controls was downloaded from The Cancer Genome Atlas (TCGA), and differential gene expression analysis was carried out. ROC and Kaplan-Meier survival analyses were performed on differentially expressed miRNAs. Pathway analysis was carried out for significant miRNAs, and protein-protein interaction of involved genes and miRNAs was examined.

Results: A total of 185 miRNAs were differentially expressed between the patients and the control. ROC and Kaplan-Meier survival analysis showed that the two miRNAs hsa-mir-133b and hsa-mir-17-5p were found to be significantly associated with prostate cancer prognosis. HAS2 and EPHA10 gene targets of identified miRNA were also differentially expressed. A protein-protein interaction (PPI) network was constructed, and the HAS2 gene was found to be interacting with the epidermal growth factor receptor (EGFR).

Conclusion: This study highlights the potential of hsa-mir-133b and hsa-mir-17-5p miRNAs as biomarkers for the prognosis of prostate cancer. However, further experimental studies are required to validate this finding.

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Source
http://dx.doi.org/10.4103/jcrt.jcrt_1469_22DOI Listing

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