Background: Owing to the heterogeneous nature of prostate cancer (PCa) and errors in the characterization of the disease, researchers have been trying to unveil molecular biomarkers like microRNA (miRNA) as diagnostic markers. The purpose of our study is to demonstrate the precision of a panel of miRNAs as biomarkers with diagnostic potential for risk stratification.

Materials And Methods: The present study demonstrates the comparative expression profiles of miRNA-141,-1290,-100, and -335 in both tissue and serum, including Benign Prostate Hyperplasia (BPH) and PCa, with healthy volunteers. Firstly, we demonstrate the expression of all miRNAs in the discovery cohort, including metastasis and benign tissue, and later validate their non-invasive diagnostic potential in BPH and PCa with healthy volunteers. MiRNA was isolated from tissue and serum to be quantified by RT-PCR and analyzed for biomarker potential by receiver operating characteristic (ROC) curve analysis, followed by targetome analysis of each miRNA.

Results: Among the non-invasive miRNA assessed, it was seen that miRNA 141 ( = 0.0003) and miRNA 1290 ( < 0.0001) are oncogenic with significantly higher expression, while miRNA 100 ( = 0.0002) and miRNA 335 are tumor suppressor, in PCa as compared to controls. While for BPH, miRNA 141 ( = 0.003) and miRNA 335 ( = 0.0002) were found to be significantly oncogenic and tumor suppressors, respectively. The analysis of the ROC curve of panel miRNAs (miRNA-141,-1290, and -100) portrayed a significant area under the curve with greater sensitivity and specificity. Moreover, in-silico prediction of their respective targetomes represents their extensive involvement in PCa progression and various other cascades that aid in PCa networks.

Conclusions: To the best of our knowledge, we are going to report for the first time this panel of miRNA that can be used to accurately and efficiently diagnose BPH and PCa patients from healthy males.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513910PMC
http://dx.doi.org/10.1016/j.prnil.2023.06.002DOI Listing

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