联合尿MiR-501和MiR-335与当前临床诊断参数作为前列腺活检结果的潜在预测因素。

IF 2.6 4区 医学 Q2 GENETICS & HEREDITY
Jaroslav Juracek, Marie Madrzyk, Karolina Trachtova, Michaela Ruckova, Julia Bohosova, Dominik A Barth, Martin Pichler, Michal Stanik, Ondrej Slaby
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引用次数: 1

摘要

背景:前列腺癌(PCa)的检测目前是基于前列腺特异性抗原(PSA)定量作为初始筛查,然后是超声引导下的经直肠活检。然而,假阴性活检的高比率往往导致不适当的治疗。因此,新的分子生物标志物,如尿液microRNAs (miRNAs),可能是重新定义PCa诊断的一种方法。患者和方法:在捷克共和国Masaryk纪念癌症研究所接受前列腺活检的356例患者(确诊前列腺癌256例,前列腺活检阴性100例)和另外36例对照(健康对照,良性前列腺增生- BPH)的尿液样本分为发现组和验证组进行分析。在发现阶段,使用QIAseq miRNA Library Kit和NextSeq 500平台进行小RNA测序。鉴定的候选miRNA在独立验证阶段通过RT-qPCR方法进行验证。结果:使用小RNA测序方法,我们鉴定出12个尿mirna在PCa患者和对照组之间显著失调。此外,独立验证表明miR-501-3p和定量miR-335:miR-501比值能够区分前列腺癌患者和前列腺活检阴性患者。随后使用logistic回归将miR-335:miR-501比值与PSA和前列腺总体积(TPV)结合使用,其分析精度超过了独立参数[曲线下面积(AUC)=0.75,阳性预测值(PPV)=0.85,阴性预测值(NPV)=0.51]的分析精度,并根据活检结果对患者进行区分。结论:miR-335:miR-501比值与PSA和前列腺总体积的结合能够识别前列腺活检阴性患者,并可能简化活检指征的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combination of Urinary MiR-501 and MiR-335 With Current Clinical Diagnostic Parameters as Potential Predictive Factors of Prostate Biopsy Outcome.

Background: The detection of prostate cancer (PCa) is currently based on prostate-specific antigen (PSA) quantification as an initial screening followed by ultrasound-guided transrectal biopsy. However, the high rate of false-negative biopsies often leads to inappropriate treatment. Therefore, new molecular biomarkers, such as urine microRNAs (miRNAs), are a possible way to redefine PCa diagnostics.

Patients and methods: Urine samples of 356 patients undergoing prostate biopsy (256 cases with confirmed prostate cancer, 100 cases with negative prostate biopsy) at the Masaryk Memorial Cancer Institute (Czech Republic) and additional 36 control subjects (healthy controls, benign prostatic hyperplasia - BPH) were divided into the discovery and validation cohorts and analyzed. In the discovery phase, small RNA sequencing was performed using the QIAseq miRNA Library Kit and the NextSeq 500 platform. Identified miRNA candidates were validated by the RT-qPCR method in the independent validation phase.

Results: Using the small RNA sequencing method, we identified 12 urine miRNAs significantly dysregulated between PCa patients and controls. Furthermore, independent validation showed the ability of miR-501-3p and the quantitative miR-335:miR-501 ratio to distinguish between PCa patients and patients with negative prostate biopsy. The subsequent combination of the miR-335:miR-501 ratio with PSA and total prostate volume (TPV) using logistic regression exceeded the analytical accuracy of standalone parameters [area under curve (AUC)=0.75, positive predictive value (PPV)=0.85, negative predictive value (NPV)=0.51)] and discriminated patients according to biopsy outcome.

Conclusion: Combination of miR-335:miR-501 ratio with PSA and total prostate volume was able to identify patients with negative prostate biopsy and could potentially streamline decision making for biopsy indication.

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来源期刊
Cancer Genomics & Proteomics
Cancer Genomics & Proteomics ONCOLOGY-GENETICS & HEREDITY
CiteScore
5.00
自引率
8.00%
发文量
51
期刊介绍: Cancer Genomics & Proteomics (CGP) is an international peer-reviewed journal designed to publish rapidly high quality articles and reviews on the application of genomic and proteomic technology to basic, experimental and clinical cancer research. In this site you may find information concerning the editorial board, editorial policy, issue contents, subscriptions, submission of manuscripts and advertising. The first issue of CGP circulated in January 2004. Cancer Genomics & Proteomics is a journal of the International Institute of Anticancer Research. From January 2013 CGP is converted to an online-only open access journal. Cancer Genomics & Proteomics supports (a) the aims and the research projects of the INTERNATIONAL INSTITUTE OF ANTICANCER RESEARCH and (b) the organization of the INTERNATIONAL CONFERENCES OF ANTICANCER RESEARCH.
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