{"title":"前列腺癌患者尿液中 MicroRNA-32 的定量研究及其与临床病理特征的关系","authors":"Amir Hossein Mahdizade , Meysam Yousefi , Mohsen Sarkarian , Alihossein Saberi","doi":"10.1016/j.clgc.2024.102195","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>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.</p></div><div><h3>Materials and methods</h3><p>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.</p></div><div><h3>Results</h3><p>The expression level of miRNA-32 in PCa patients was significantly higher than the control group (<em>P</em> < .01) and BPH cases (<em>P</em> < .01), and was associated with advanced tumor stage (<em>P</em> < .05). In addition, the expression of miRNA-32 had significant correlation with patients’ age (r = 0.39, <em>P</em> = .043). Area under ROC curve (AUC) for the discrimination of PCa samples from control and BPH samples were 0.93 (<em>P</em> < .0001) and 0.78 (<em>P</em> < .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.</p></div><div><h3>Conclusions</h3><p>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.</p></div>","PeriodicalId":10380,"journal":{"name":"Clinical genitourinary cancer","volume":"22 6","pages":"Article 102195"},"PeriodicalIF":2.3000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantitative Investigation of MicroRNA-32 in the Urine of Prostate Cancer Patients and Its Relationship With Clinicopathological Characteristics\",\"authors\":\"Amir Hossein Mahdizade , Meysam Yousefi , Mohsen Sarkarian , Alihossein Saberi\",\"doi\":\"10.1016/j.clgc.2024.102195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>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.</p></div><div><h3>Materials and methods</h3><p>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.</p></div><div><h3>Results</h3><p>The expression level of miRNA-32 in PCa patients was significantly higher than the control group (<em>P</em> < .01) and BPH cases (<em>P</em> < .01), and was associated with advanced tumor stage (<em>P</em> < .05). In addition, the expression of miRNA-32 had significant correlation with patients’ age (r = 0.39, <em>P</em> = .043). Area under ROC curve (AUC) for the discrimination of PCa samples from control and BPH samples were 0.93 (<em>P</em> < .0001) and 0.78 (<em>P</em> < .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.</p></div><div><h3>Conclusions</h3><p>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.</p></div>\",\"PeriodicalId\":10380,\"journal\":{\"name\":\"Clinical genitourinary cancer\",\"volume\":\"22 6\",\"pages\":\"Article 102195\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical genitourinary cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1558767324001654\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical genitourinary cancer","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1558767324001654","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
Quantitative Investigation of MicroRNA-32 in the Urine of Prostate Cancer Patients and Its Relationship With Clinicopathological Characteristics
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.
期刊介绍:
Clinical Genitourinary Cancer is a peer-reviewed journal that publishes original articles describing various aspects of clinical and translational research in genitourinary cancers. Clinical Genitourinary Cancer is devoted to articles on detection, diagnosis, prevention, and treatment of genitourinary cancers. The main emphasis is on recent scientific developments in all areas related to genitourinary malignancies. Specific areas of interest include clinical research and mechanistic approaches; drug sensitivity and resistance; gene and antisense therapy; pathology, markers, and prognostic indicators; chemoprevention strategies; multimodality therapy; and integration of various approaches.