Xi'an Daxing Hospital, Shaanxi, China; International Doctoral School, University of Seville, Seville, Spain.
International Doctoral School, University of Seville, Seville, Spain.
Actas Urol Esp (Engl Ed). 2022 Apr;46(3):138-149. doi: 10.1016/j.acuroe.2021.05.005. Epub 2022 Mar 5.
This meta-analysis has been conducted to evaluate the diagnostic accuracy of circulating microRNAs for the early diagnosis of prostate cancer (PCA).
A systematic literature search was performed (updated to February 18, 2021) in PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang database and China National Knowledge Infrastructure (CNKI) to identify eligible studies. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under curve (AUC) of the summary receiver-operating characteristic (SROC) curve were calculated for both overall and subgroup analysis. The meta-regression and subgroup analysis were performed to explore heterogeneity and Deeks' funnel plot was used to assess publication bias.
One hundred nineteen studies from 33 articles owned 8703 PCA patients and 4914 controls were included in our meta-analysis. The overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under the curve were 0.79, 0.81, 4.1, 0.26, 16 and 0.87, respectively. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve of miR-21 in diagnosis of PCA were 0.86, 0.90, 8.3, 0.16, 52 and 0.94, respectively. Subgroup analysis suggested that the upregulated miRNA of serum type with large sample size could carry out a better diagnostic accuracy of PCA patients. Moreover, publication bias was not found.
Circulating microRNA, especially miR-21, can be used as a promising noninvasive biomarker in the early diagnosis of PCA.
本荟萃分析旨在评估循环 microRNAs 对前列腺癌（PCA）早期诊断的诊断准确性。
系统检索PubMed、EMBASE、Web of Science、Cochrane 图书馆、万方数据库和中国知网（CNKI），检索时间截至 2021 年 2 月 18 日，以确定合格的研究。计算汇总受试者工作特征（SROC）曲线的灵敏度（SEN）、特异性（SPE）、阳性似然比（PLR）、阴性似然比（NLR）、诊断比值比（DOR）和曲线下面积（AUC）。采用 Meta 回归和亚组分析探讨异质性，采用 Deeks 漏斗图评估发表偏倚。
从 33 篇文章中检索到 119 项研究，共纳入 8703 例 PCA 患者和 4914 例对照者。总的敏感性、特异性、阳性似然比、阴性似然比、诊断比值比和曲线下面积分别为 0.79、0.81、4.1、0.26、16 和 0.87。miR-21 诊断 PCA 的合并敏感性、特异性、阳性似然比、阴性似然比、诊断比值比和曲线下面积分别为 0.86、0.90、8.3、0.16、52 和 0.94。亚组分析表明，血清型中上调 miRNA 的大样本量可提高 PCA 患者的诊断准确性。此外，未发现发表偏倚。
循环 microRNA，尤其是 miR-21，可作为 PCA 早期诊断有前途的非侵入性生物标志物。
