Combination of Urinary MiR-501 and MiR-335 With Current Clinical Diagnostic Parameters as Potential Predictive Factors of Prostate Biopsy Outcome.

Autor:	Juracek J; Central European Institute of Technology, Masaryk University, Brno, Czech Republic., Madrzyk M; Central European Institute of Technology, Masaryk University, Brno, Czech Republic., Trachtova K; Central European Institute of Technology, Masaryk University, Brno, Czech Republic., Ruckova M; Central European Institute of Technology, Masaryk University, Brno, Czech Republic., Bohosova J; Central European Institute of Technology, Masaryk University, Brno, Czech Republic., Barth DA; Research Unit of Non-Coding RNAs and Genome Editing in Cancer, Division of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria., Pichler M; Research Unit of Non-Coding RNAs and Genome Editing in Cancer, Division of Clinical Oncology, Department of Medicine, Comprehensive Cancer Center Graz, Medical University of Graz, Graz, Austria., Stanik M; Department of Urologic Oncology, Clinic of Surgical Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic; stanik@mou.cz., Slaby O; Central European Institute of Technology, Masaryk University, Brno, Czech Republic; ondrej.slaby@ceitec.muni.cz.; Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Jazyk:	angličtina
Zdroj:	Cancer genomics & proteomics [Cancer Genomics Proteomics] 2023 May-Jun; Vol. 20 (3), pp. 308-316.
DOI:	10.21873/cgp.20383
Abstrakt:	Background: The detection of prostate cancer (PCa) is currently based on prostate-specific antigen (PSA) quantification as an initial screening followed by ultrasound-guided transrectal biopsy. However, the high rate of false-negative biopsies often leads to inappropriate treatment. Therefore, new molecular biomarkers, such as urine microRNAs (miRNAs), are a possible way to redefine PCa diagnostics. Patients and Methods: Urine samples of 356 patients undergoing prostate biopsy (256 cases with confirmed prostate cancer, 100 cases with negative prostate biopsy) at the Masaryk Memorial Cancer Institute (Czech Republic) and additional 36 control subjects (healthy controls, benign prostatic hyperplasia - BPH) were divided into the discovery and validation cohorts and analyzed. In the discovery phase, small RNA sequencing was performed using the QIAseq miRNA Library Kit and the NextSeq 500 platform. Identified miRNA candidates were validated by the RT-qPCR method in the independent validation phase. Results: Using the small RNA sequencing method, we identified 12 urine miRNAs significantly dysregulated between PCa patients and controls. Furthermore, independent validation showed the ability of miR-501-3p and the quantitative miR-335:miR-501 ratio to distinguish between PCa patients and patients with negative prostate biopsy. The subsequent combination of the miR-335:miR-501 ratio with PSA and total prostate volume (TPV) using logistic regression exceeded the analytical accuracy of standalone parameters [area under curve (AUC)=0.75, positive predictive value (PPV)=0.85, negative predictive value (NPV)=0.51)] and discriminated patients according to biopsy outcome. Conclusion: Combination of miR-335:miR-501 ratio with PSA and total prostate volume was able to identify patients with negative prostate biopsy and could potentially streamline decision making for biopsy indication. (Copyright © 2023, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
Databáze:	MEDLINE
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