Evidence map›Paper›PMID 42277406›Full record

ArticleIrish journal of medical science2026

Extracellular vesicle-derived miR-141, miR-10b, miR-550a and miR-16 define a circulating signature in prostate cancer.

Emine Yagci, Hulyam Kurt, Ata Ozen, Cansu Ozbayer, Selma Metintas

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Article in Irish journal of medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Emine YagciFaculty of Medicine, Department of Medical Biology, Kutahya Health Sciences University, Kutahya, Türkiye. emine.yagci@ksbu.edu.tr.ORCID http://orcid.org/0000-0003-2179-1318
Hulyam KurtFaculty of Medicine, Department of Medical Biology, Eskisehir Osmangazi University, Eskisehir, Türkiye.ORCID http://orcid.org/0000-0003-2433-9925
Ata OzenFaculty of Medicine, Department of Urology, Eskisehir Osmangazi University, Eskisehir, Türkiye.ORCID http://orcid.org/0000-0002-0890-486X
Cansu OzbayerFaculty of Medicine, Department of Medical Biology, Kutahya Health Sciences University, Kutahya, Türkiye.ORCID http://orcid.org/0000-0002-1120-1874
Selma MetintasFaculty of Medicine, Department of Public Health, Lung and Pleural Cancers Research and Clinical Center, Eskisehir Osmangazi University, Eskisehir, Türkiye.ORCID http://orcid.org/0000-0002-5002-5041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer (PCa) diagnosis relies heavily on PSA screening, which suffers from low specificity, leading to unnecessary biopsies and overdiagnosis. Distinguishing PCa from benign prostatic hyperplasia (BPH) remains a significant clinical challenge. Extracellular vesicles (EVs) protect molecular cargo, such as microRNAs (miRNAs), from degradation and reflect the physiological state of their parental cells. Given their stability and accessibility in biological fluids, EV-associated miRNAs represent ideal liquid biopsy candidates to overcome the limitations of current diagnostic markers and improve risk stratification.

aimsThis study investigated the potential of a specific plasma EV-derived miRNA panel (miR-16, miR-141, miR-10b, miR-373, miR-409, miR-34a, miR-205, miR-145, and miR-550a) to differentiate between healthy controls, BPH, localized PCa (LPCa), and metastatic PCa (MPCa).

methodsPlasma EVs were isolated using a precipitation-based method, followed by total RNA extraction. EV-derived miRNA expression profiles were quantified via qRT-PCR. Statistical analyses were performed to compare expression levels across clinical groups and to assess their diagnostic potential.

resultsSignificant differential expression was observed for EV-derived miR-141, miR-10b, and miR-550a. miR-141 was significantly downregulated in BPH and LPCa compared to healthy controls (p < 0.05). Notably, EV-derived miR-10b and miR-550a levels were significantly lower in the MPCa group compared to BPH. When comparing all PCa cases (LPCa+MPCa) against non-cancerous groups (BPH+Control), EV-derived miR-10b and miR-550a were significantly downregulated, while miR-16 showed upregulation in the cancer cohort.

conclusionOur findings demonstrate that specific plasma EV-derived miRNA signatures can distinguish prostate pathologies and disease stages. These results suggest that EV-derived miR-10b, miR-141, miR-16 and miR-550a hold promise as non-invasive biomarkers for differentiating PCa from BPH, potentially reducing overdiagnosis and informing clinical management.

Indexed as

Extracellular vesiclesLiquid biopsy, miR-10bmiR-141miR-550aProstate cancer

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.