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

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

Anna Maria Grimaldi  1 , Cristina Lapucci  2 , Marco Salvatore  1 , Mariarosaria Incoronato  1 , Maurizio Ferrari  1
Affiliations
Review

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

Anna Maria Grimaldi et al. Biomedicines. .

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.

Keywords: biomarker; bladder cancer; diagnosis; extracellular vesicle; miRNAs; pellet; sediment; supernatant; urine.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
PRISMA 2020 flow diagram, which included searches of the databases.
Figure 2
Figure 2
Graphical display for the QUADAS-2 results.
See this image and copyright information in PMC

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