循环microRNA-141作为前列腺癌的生物标志物:系统综述和荟萃分析

D. Nițușcă, A. Marcu, E. Seclaman, R. Bardan, I. Sîrbu, O. Bălăcescu, A. Bucur, S. Ursoniu, C. Marian
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引用次数: 0

摘要

(1)背景与目的:为了满足对前列腺癌(PCa)诊断的更多优化生物标志物的需求,大量研究表明,microRNAs (miRNAs)可以作为一种新的、更可靠的诊断工具。考虑到这些mirna在诊断前列腺癌表现上的差异,这些mirna在评估前列腺癌存在方面的有用性仍在争论中。在这方面,hsa-miR-141是特别感兴趣的mirna之一,在PCa生物学中被研究得非常多。(2)材料和方法:在这里,我们对发表到2019年5月的miR-141数据进行了meta分析,通过分析敏感性、特异性、阳性似然比(LR+)、阴性似然比(LR-)、诊断优势比(DOR)和曲线下面积(AUC)等几个参数,使用诊断准确性研究质量评估-2 (QUADAS-2)工具对其诊断准确性进行了评估。符合我们选择并纳入meta分析的6项研究包括283名PCa患者,114名健康对照,84名患有良性前列腺疾病的患者。(3)结果和结论:我们的研究结果表明,miRNA-141具有非常好的诊断准确性(敏感性0.78,特异性0.96,DOR为89,LR+为21,LR-为0.23,AUC为0.87),表明其作为前列腺癌诊断生物标志物的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circulating microRNA-141 as a Biomarker for Prostate Cancer: A Systematic Review and Meta-Analysis
(1) Background and Objectives: Responding to the need for more optimized biomarkers for prostate cancer (PCa) diagnosis, a high number of studies have shown that microRNAs (miRNAs) could serve as novel, more reliable diagnostic tools. The usefulness of these miRNAs in assessing the presence of PCa is still under debate, given the discrepancies in their diagnostic performances. In this respect, hsa-miR-141 is among the miRNAs of particular interest, being very much investigated in PCa biology. (2) Material and Methods: Here, we provide a meta-analysis of miR-141 data published until May 2019, whose diagnostic accuracy was assessed using the Quality Assessment for Diagnostic Accuracy Studies-2 (QUADAS-2) tool, by analyzing several parameters including sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), diagnostic odds ratio (DOR) and the area under the curve (AUC). The six studies that matched our selection and were included in our meta-analysis comprise 283 PCa patients, 114 healthy controls, with 84 patients suffering from benign prostate diseases. (3) Results and Conclusions: Our results indicate a very good diagnostic accuracy for miRNA-141 (0.78 sensitivity, 0.96 specificity, DOR of 89, LR+ of 21, LR- of 0.23 and AUC of 0.87), underlying its utility as a PCa diagnostic biomarker.
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