Quantitative Investigation of MicroRNA-32 in the Urine of Prostate Cancer Patients and Its Relationship With Clinicopathological Characteristics.

Clin Genitourin Cancer

Department of Medical Genetics, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Cellular and Molecular Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. Electronic address:

Published: December 2024

Introduction: Prostate cancer (PCa) is one of the most common cancers worldwide. PCa diagnosis is mostly based on solid biopsy and prostate-specific antigen (PSA), which have the disadvantages of being invasive and insensitive, respectively. Recently, the detection of microRNAs (miRNAs) in expressed prostatic secretions (EPS) has been a promising approach for PCa diagnosis. The aim of this study is to quantify transcriptional levels of miRNA-32 in the urine of prostate cancer patients.

Materials And Methods: In this study, we evaluated the expression of miRNA-32 in the urine of 27 PCa patients, 48 benign prostatic hyperplasia (BPH) and 20 healthy controls, using quantitative real-time PCR (qPCR). The expression levels were then compared with the clinicopathological characteristics of patients.

Results: The expression level of miRNA-32 in PCa patients was significantly higher than the control group (P < .01) and BPH cases (P < .01), and was associated with advanced tumor stage (P < .05). In addition, the expression of miRNA-32 had significant correlation with patients' age (r = 0.39, P = .043). Area under ROC curve (AUC) for the discrimination of PCa samples from control and BPH samples were 0.93 (P < .0001) and 0.78 (P < .0001), respectively. We also used logistic regression analysis to integrate the results of PSA, prostate volume and miRNA-32, and presented a predictive model for distinguishing PCa from BPH, highlighting the clinical utility of miRNA-32 in cancer diagnosis and risk assessment.

Conclusions: Measurement of miRNA-32 expression in urine may have significance for the detection of PCa. Inclusion of miRNA-32 in logistic regression along with PSA and prostate volume increases the accuracy of cancer diagnosis.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.clgc.2024.102195DOI Listing

Publication Analysis

Top Keywords

prostate cancer
12
urine prostate
8
clinicopathological characteristics
8
pca
8
pca diagnosis
8
mirna-32
8
mirna-32 urine
8
expression mirna-32
8
pca patients
8
logistic regression
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!