A preliminary study of micro-RNAs as minimally invasive biomarkers for the diagnosis of prostate cancer patients.

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Publisher: BioMed Central Ltd.
Document Type: Article
Length: 5,064 words
Lexile Measure: 1440L

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Abstract :

Background A prostate cancer diagnosis is based on biopsy sampling that is an invasive, expensive procedure, and doesn't accurately represent multifocal disease. Methods To establish a model using plasma miRs to distinguish Prostate cancer patients from non-cancer controls, we enrolled 600 patients histologically diagnosed as having or not prostate cancer at biopsy. Two hundred ninety patients were eligible for the analysis. Samples were randomly divided into discovery and validation cohorts. Results NGS-miR-expression profiling revealed a miRs signature able to distinguish prostate cancer from non-cancer plasma samples. Of 51 miRs selected in the discovery cohort, we successfully validated 5 miRs (4732-3p, 98-5p, let-7a-5p, 26b-5p, and 21-5p) deregulated in prostate cancer samples compared to controls (p [less than or equai to] 0.05). Multivariate and ROC analyses show miR-26b-5p as a strong predictor of PCa, with an AUC of 0.89 (CI = 0.83-0.95;p To distinguish between low and high-grade prostate cancer, we found that miR-4732-3p levels were significantly higher; instead, miR-26b-5p and miR-98-5p levels were lower in low-grade compared to the high-grade group (p [less than or equai to] 0.05). Combining miR-26b-5p and miR-4732-3p we have the highest diagnostic accuracy for high-grade prostate cancer patients, (AUC = 0.80; CI 0,69-0,873). Conclusions Noninvasive diagnostic tests may reduce the number of unnecessary prostate biopsies. The 2-miRs-diagnostic model (miR-26b-5p and miR-98-5p) and the 2-miRs-grade model (miR-26b-5p and miR-4732-3p) are promising minimally invasive tools in prostate cancer clinical management. Keywords: microRNAs, Prostate cancer, Diagnosis, Prognosis

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Gale Document Number: GALE|A653659823