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Meta-analysis of microRNAs as biomarkers for muscle-invasive bladder cancer

Bladder cancer is the most common cancer of the urinary tract. A quarter of bladder cancer patients presenting with muscle-invasive bladder cancer (MIBC) suffer significant morbidity and succumb to the disease. MicroRNA (miRNA) from tissue, urine or blood samples of MIBC patients have been demonstra...

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Autores principales: Zheng, Lin-Feng, Sun, Wen-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4950392/
https://www.ncbi.nlm.nih.gov/pubmed/27446534
http://dx.doi.org/10.3892/br.2016.705
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author Zheng, Lin-Feng
Sun, Wen-Yong
author_facet Zheng, Lin-Feng
Sun, Wen-Yong
author_sort Zheng, Lin-Feng
collection PubMed
description Bladder cancer is the most common cancer of the urinary tract. A quarter of bladder cancer patients presenting with muscle-invasive bladder cancer (MIBC) suffer significant morbidity and succumb to the disease. MicroRNA (miRNA) from tissue, urine or blood samples of MIBC patients have been demonstrated to differ from healthy individuals, and possibly have diagnostic value. The aim of the present meta-analysis was to access the overall diagnostic accuracy comprehensively and quantitatively. Systematic searching in PubMed, Web of Science, Embase and Chinese National Knowledge Infrastructure database was conducted. The pooled sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR) and diagnostic odds ratio (DOR) were calculated via the random effects model to evaluate the overall test performance. Deeks' funnel plot asymmetry test was used to test the publication bias. A total of 10 studies were included in the meta-analysis, with a total of 577 patients and 412 controls. The pooled sensitivity and specificity were 0.78 [95% confidence interval (CI), 0.69–0.86] and 0.77 (95% CI, 0.72–0.81), respectively. The pooled PLR was 2.9 (95% CI, 2.1–3.8), the NLR was 0.31 (95% CI, 0.27–0.35), the DOR was 7 (95% CI, 4–13) and the pooled AUC was 0.80 (95% CI, 0.69–0.87). In conclusion, the current miRNA assays support their use as markers for MIBC diagnosis.
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spelling pubmed-49503922016-07-21 Meta-analysis of microRNAs as biomarkers for muscle-invasive bladder cancer Zheng, Lin-Feng Sun, Wen-Yong Biomed Rep Articles Bladder cancer is the most common cancer of the urinary tract. A quarter of bladder cancer patients presenting with muscle-invasive bladder cancer (MIBC) suffer significant morbidity and succumb to the disease. MicroRNA (miRNA) from tissue, urine or blood samples of MIBC patients have been demonstrated to differ from healthy individuals, and possibly have diagnostic value. The aim of the present meta-analysis was to access the overall diagnostic accuracy comprehensively and quantitatively. Systematic searching in PubMed, Web of Science, Embase and Chinese National Knowledge Infrastructure database was conducted. The pooled sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR) and diagnostic odds ratio (DOR) were calculated via the random effects model to evaluate the overall test performance. Deeks' funnel plot asymmetry test was used to test the publication bias. A total of 10 studies were included in the meta-analysis, with a total of 577 patients and 412 controls. The pooled sensitivity and specificity were 0.78 [95% confidence interval (CI), 0.69–0.86] and 0.77 (95% CI, 0.72–0.81), respectively. The pooled PLR was 2.9 (95% CI, 2.1–3.8), the NLR was 0.31 (95% CI, 0.27–0.35), the DOR was 7 (95% CI, 4–13) and the pooled AUC was 0.80 (95% CI, 0.69–0.87). In conclusion, the current miRNA assays support their use as markers for MIBC diagnosis. D.A. Spandidos 2016-08 2016-06-23 /pmc/articles/PMC4950392/ /pubmed/27446534 http://dx.doi.org/10.3892/br.2016.705 Text en Copyright: © Zheng et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zheng, Lin-Feng
Sun, Wen-Yong
Meta-analysis of microRNAs as biomarkers for muscle-invasive bladder cancer
title Meta-analysis of microRNAs as biomarkers for muscle-invasive bladder cancer
title_full Meta-analysis of microRNAs as biomarkers for muscle-invasive bladder cancer
title_fullStr Meta-analysis of microRNAs as biomarkers for muscle-invasive bladder cancer
title_full_unstemmed Meta-analysis of microRNAs as biomarkers for muscle-invasive bladder cancer
title_short Meta-analysis of microRNAs as biomarkers for muscle-invasive bladder cancer
title_sort meta-analysis of micrornas as biomarkers for muscle-invasive bladder cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4950392/
https://www.ncbi.nlm.nih.gov/pubmed/27446534
http://dx.doi.org/10.3892/br.2016.705
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