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Multimodal urinary biomarker panel achieves superior prostate cancer detection accuracy and reduces unnecessary biopsies.

Translational oncology 2026 Vol.63() p. 102582

Panahi Y, Avci CB, Ghafarlu A, Nourazarian A

📝 환자 설명용 한 줄

To address the persistent challenges associated with prostate-specific antigen (PSA) screening, a multicenter study was conducted to evaluate whether urinary microRNAs, in combination with the free-to

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value P < 0.001
  • 95% CI 0.923-0.971
  • Sensitivity 88.7 %

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BibTeX ↓ RIS ↓
APA Panahi Y, Avci CB, et al. (2026). Multimodal urinary biomarker panel achieves superior prostate cancer detection accuracy and reduces unnecessary biopsies.. Translational oncology, 63, 102582. https://doi.org/10.1016/j.tranon.2025.102582
MLA Panahi Y, et al.. "Multimodal urinary biomarker panel achieves superior prostate cancer detection accuracy and reduces unnecessary biopsies.." Translational oncology, vol. 63, 2026, pp. 102582.
PMID 41166930

Abstract

To address the persistent challenges associated with prostate-specific antigen (PSA) screening, a multicenter study was conducted to evaluate whether urinary microRNAs, in combination with the free-to-total PSA (f/tPSA) ratio, could improve prostate cancer (PCa) detection while minimizing unnecessary biopsies. The study included 307 men divided into three groups: 112 with confirmed PCa, 98 diagnosed with benign prostatic hyperplasia (BPH), and 97 healthy controls (HCs). Researchers measured serum PSA levels, inflammatory markers, and five urinary extracellular vesicle-derived miRNAs: miR-21-5p, miR-141-3p, miR-205-5p, miR-375, and miR-222-3p The analysis revealed distinct patterns of miRNA expression in the samples. The levels of miR-21-5p and miR-375 were significantly elevated in patients with PCa compared to those in the BPH and control groups (P < 0.001), whereas that of miR-205-5p was markedly reduced (P < 0.001). The f/tPSA ratio demonstrated superior discriminatory ability compared to standard PSA testing, with an area under the curve (AUC) of 0.829. However, integrating multiple biomarkers, including miR-21-5p, miR-375, free-to-total PSA ratio, PSA density, and neutrophil-to-lymphocyte ratio, further enhanced diagnostic accuracy. This combined model outperformed conventional approaches, yielding an AUC of 0.947 (95 % CI: 0.923-0.971) with 92.9 % sensitivity and 88.7 % specificity (P < 0.001). Notably, it exhibited exceptional performance within the PSA "gray zone" (4-10 ng/mL), a range where traditional screening methods often lead to diagnostic uncertainty and difficult biopsy decisions.