Diagnostic accuracy of MicroRNAs as biomarkers for prostate cancer: a systematic review and meta-analysis

Abstract Introduction Prostate cancer (PCa) is one of the most common neoplasms in men, and although prostate-specific antigen (PSA) is widely used, it has diagnostic limitations due to its low specificity. In this context, microRNAs (miRNAs) have emerged as potential non-invasive biomarkers. This study aimed to evaluate the diagnostic accuracy of miRNAs miR-21, miR-375, miR-141, and miR-221 for the detection of PCa. Content A systematic review and meta-analysis of diagnostic accuracy studies was performed, following the PRISMA-DTA guidelines. A systematic search was conducted in four electronic databases without language or date restrictions until the search end date. Risk of bias was assessed using the QUADAS-C tool. Bivariate meta-analyses were performed. The certainty of the evidence was assessed using the GRADE approach, with Summary of Findings tables. Summary Fourteen retrospective studies were included. The meta-analyses showed that the miRNAs evaluated generally have high specificity and acceptable sensitivity for the detection of PCa. However, substantial heterogeneity was observed between studies, and there was a high or unclear risk of bias in several domains. Outlook miRNAs miR-21, miR-375, miR-141, and miR-221 show promising potential as diagnostic biomarkers complementary to PSA in PCa. However, the available evidence is limited and of very low certainty, so well-designed and methodologically standardized prospective studies are required before clinical implementation.

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Publication Details

Journal
ONCOLOGIE
Published
2026-04-29
DOI
https://doi.org/10.1515/oncologie-2025-0460
Primary Topic
MicroRNA in disease regulation
Type
article
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article

Diagnostic accuracy of MicroRNAs as biomarkers for prostate cancer: a systematic review and meta-analysis

Hugo Alpaca, Luis Miguel Aguirre Pascual, Luis Gerardo Abanto Díaz, Abigail Raquel Alcantara Pinedo et al.
ONCOLOGIE
MicroRNA in disease regulation
article

Diagnostic accuracy of MicroRNAs as biomarkers for prostate cancer: a systematic review and meta-analysis

Hugo Alpaca, Luis Miguel Aguirre Pascual, Luis Gerardo Abanto Díaz, Abigail Raquel Alcantara Pinedo, Katherine Angeles, Narumi Alfaro
article en

Abstract

Abstract Introduction Prostate cancer (PCa) is one of the most common neoplasms in men, and although prostate-specific antigen (PSA) is widely used, it has diagnostic limitations due to its low specificity. In this context, microRNAs (miRNAs) have emerged as potential non-invasive biomarkers. This study aimed to evaluate the diagnostic accuracy of miRNAs miR-21, miR-375, miR-141, and miR-221 for the detection of PCa. Content A systematic review and meta-analysis of diagnostic accuracy studies was performed, following the PRISMA-DTA guidelines. A systematic search was conducted in four electronic databases without language or date restrictions until the search end date. Risk of bias was assessed using the QUADAS-C tool. Bivariate meta-analyses were performed. The certainty of the evidence was assessed using the GRADE approach, with Summary of Findings tables. Summary Fourteen retrospective studies were included. The meta-analyses showed that the miRNAs evaluated generally have high specificity and acceptable sensitivity for the detection of PCa. However, substantial heterogeneity was observed between studies, and there was a high or unclear risk of bias in several domains. Outlook miRNAs miR-21, miR-375, miR-141, and miR-221 show promising potential as diagnostic biomarkers complementary to PSA in PCa. However, the available evidence is limited and of very low certainty, so well-designed and methodologically standardized prospective studies are required before clinical implementation.

ONCOLOGIE
Universidad San Pedro (PE), Universidad Nacional del Santa (PE)
Openalex Percentile: Top 9%
MicroRNA in disease regulation
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Diagnostic accuracy of MicroRNAs as biomarkers for prostate cancer: a systematic review and meta-analysis — Hugo Alpaca, Luis Miguel Aguirre Pascual, et al. · ONCOLOGIE (2026) | TGRS Research Map | TGRS