Combination of Urinary MiR-501 and MiR-335 With Current Clinical Diagnostic Parameters as Potential Predictive Factors of Prostate Biopsy Outcome
Jazyk angličtina Země Řecko Médium print
Typ dokumentu časopisecké články
PubMed
37093688
PubMed Central
PMC10148065
DOI
10.21873/cgp.20383
PII: 20/3/308
Knihovny.cz E-zdroje
- Klíčová slova
- NGS, Prostate cancer, diagnosis, miRNA ratio, microRNA, non-invasive, prostate biopsy, regression model, urine,
- MeSH
- biopsie MeSH
- hyperplazie prostaty * genetika MeSH
- lidé MeSH
- mikro RNA * genetika MeSH
- nádorové biomarkery MeSH
- nádory prostaty * genetika MeSH
- prostata patologie MeSH
- prostatický specifický antigen MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- mikro RNA * MeSH
- MIRN335 microRNA, human MeSH Prohlížeč
- MIRN501 microRNA, human MeSH Prohlížeč
- nádorové biomarkery MeSH
- prostatický specifický antigen MeSH
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.
Central European Institute of Technology Masaryk University Brno Czech Republic
Central European Institute of Technology Masaryk University Brno Czech Republic;
Department of Biology Faculty of Medicine Masaryk University Brno Czech Republic
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