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尿微小RNA作为膀胱癌诊断工具的系统评价

Urinary miRNAs as a Diagnostic Tool for Bladder Cancer: A Systematic Review.

作者信息

Grimaldi Anna Maria, Lapucci Cristina, Salvatore Marco, Incoronato Mariarosaria, Ferrari Maurizio

机构信息

IRCCS SYNLAB SDN, Via Gianturco 113, 80143 Naples, Italy.

Genetic Unit, Synlab Italia, 25014 Castenedolo, Italy.

出版信息

Biomedicines. 2022 Oct 31;10(11):2766. doi: 10.3390/biomedicines10112766.

Abstract

Bladder cancer is the 10th most common cancer type worldwide. Cystoscopy represents the gold standard for bladder cancer diagnosis, but this procedure is invasive and painful, hence the need to identify new biomarkers through noninvasive procedures. microRNAs (miRNAs) are considered to be promising diagnostic molecules, because they are very stable in biological fluids (including urine) and easily detectable. This systematic review analyses the power of urine miRNAs as bladder cancer diagnostic markers. We conducted this systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. A total of 293 records related to miRNAs and their diagnostic significance in BC were retrieved from the PubMed and Embase databases. A systematic search of the literature was performed, and a total of 25 articles (N = 4054 participants) were identified and reviewed. Although many of the selected studies were of high scientific quality, the results proved to be quite heterogeneous, because we did not identify a univocal consensus for a specific miRNA signature but only isolated the signatures. We did not identify a univocal consensus for a specific diagnostic miRNA signature but only isolated the signatures, some of them with better diagnostic power compared to the others.

摘要

膀胱癌是全球第10大常见癌症类型。膀胱镜检查是膀胱癌诊断的金标准,但该检查具有侵入性且会带来疼痛,因此需要通过非侵入性检查来识别新的生物标志物。微小RNA(miRNA)被认为是很有前景的诊断分子,因为它们在生物体液(包括尿液)中非常稳定且易于检测。本系统评价分析了尿液miRNA作为膀胱癌诊断标志物的效能。我们按照系统评价和Meta分析的首选报告项目(PRISMA)声明开展了本系统评价。从PubMed和Embase数据库中检索到了总共293条与miRNA及其在膀胱癌中的诊断意义相关的记录。对文献进行了系统检索,共识别并纳入了25篇文章(N = 4054名参与者)进行综述。尽管许多入选研究具有较高的科学质量,但结果显示出很大的异质性,因为我们未就特定的miRNA特征达成明确共识,只是分离出了一些特征,其中一些特征的诊断效能优于其他特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58e2/9687402/ecee4fcdd580/biomedicines-10-02766-g001.jpg

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