Urine microRNAs as biomarkers for bladder cancer: a diagnostic meta-analysis

Yidong Cheng,* Xiaheng Deng,* Xiao Yang,* Pengchao Li, Xiaolei Zhang, Peng Li, Jun Tao, Qiang Lu, Zengjun Wang Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China *These authors contributed equally to this work...

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Main Authors: Cheng Y, Deng X, Yang X, Li P, Zhang X, Tao J, Lu Q, Wang Z
Format: Article
Language:English
Published: Dove Medical Press 2015-08-01
Series:OncoTargets and Therapy
Online Access:http://www.dovepress.com/urine-micrornas-as-biomarkers-for-bladder-cancer-a-diagnostic-meta-ana-peer-reviewed-article-OTT
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spelling doaj-1294efc4694d48aa9517e78738ae1d302020-11-24T21:29:42ZengDove Medical PressOncoTargets and Therapy1178-69302015-08-012015default2089209623047Urine microRNAs as biomarkers for bladder cancer: a diagnostic meta-analysisCheng YDeng XYang XLi PZhang XLi PTao JLu QWang ZYidong Cheng,* Xiaheng Deng,* Xiao Yang,* Pengchao Li, Xiaolei Zhang, Peng Li, Jun Tao, Qiang Lu, Zengjun Wang Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China *These authors contributed equally to this work Background: The diagnostic value of microRNA (miRNA) detection in patients with bladder cancer (BCa) is controversial. We performed a diagnostic meta-analysis to evaluate current evidence on the use of miRNA assays to diagnose BCa. Methods: We systematically searched PubMed, Embase, and Web of Science for studies published before March 31, 2015. The pooled sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and area under the curve (AUC) were calculated to evaluate the overall test performance. Subgroup analyses were used to explore the between-study heterogeneity. Deeks’ funnel plot asymmetry test was used to test publication bias. We applied the software of RevMan 5.2 and Stata 11.0 to the meta-analysis. Results: A total of 23 studies from nine articles were included in the meta-analysis, with a total of 719 patients and 494 controls. The pooled sensitivity and specificity were 0.75 (95% confidence interval [CI], 0.68–0.80) and 0.75 (95% CI, 0.70–0.80), respectively. The pooled positive likelihood ratio was 3.03 (95% CI, 2.50–3.67); negative likelihood ratio was 0.33 (95% CI, 0.27–0.42); and diagnostic odds ratio was 9.07 (95% CI, 6.35–12.95). The pooled AUC was 0.81 (95% CI, 0.78–0.85). Subgroup analyses indicated that the multiple miRNAs assays and urine supernatant assays showed high accuracies in diagnosing BCa. Conclusion: The miRNA assays may serve as potential noninvasive diagnostic tool for the detection of BCa. However, the clinical application of miRNA assays for BCa diagnosis still needs further validation by large prospective studies. Keywords: microRNAs, bladder cancer, diagnostic accuracy, meta-analysishttp://www.dovepress.com/urine-micrornas-as-biomarkers-for-bladder-cancer-a-diagnostic-meta-ana-peer-reviewed-article-OTT
collection DOAJ
language English
format Article
sources DOAJ
author Cheng Y
Deng X
Yang X
Li P
Zhang X
Li P
Tao J
Lu Q
Wang Z
spellingShingle Cheng Y
Deng X
Yang X
Li P
Zhang X
Li P
Tao J
Lu Q
Wang Z
Urine microRNAs as biomarkers for bladder cancer: a diagnostic meta-analysis
OncoTargets and Therapy
author_facet Cheng Y
Deng X
Yang X
Li P
Zhang X
Li P
Tao J
Lu Q
Wang Z
author_sort Cheng Y
title Urine microRNAs as biomarkers for bladder cancer: a diagnostic meta-analysis
title_short Urine microRNAs as biomarkers for bladder cancer: a diagnostic meta-analysis
title_full Urine microRNAs as biomarkers for bladder cancer: a diagnostic meta-analysis
title_fullStr Urine microRNAs as biomarkers for bladder cancer: a diagnostic meta-analysis
title_full_unstemmed Urine microRNAs as biomarkers for bladder cancer: a diagnostic meta-analysis
title_sort urine micrornas as biomarkers for bladder cancer: a diagnostic meta-analysis
publisher Dove Medical Press
series OncoTargets and Therapy
issn 1178-6930
publishDate 2015-08-01
description Yidong Cheng,* Xiaheng Deng,* Xiao Yang,* Pengchao Li, Xiaolei Zhang, Peng Li, Jun Tao, Qiang Lu, Zengjun Wang Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China *These authors contributed equally to this work Background: The diagnostic value of microRNA (miRNA) detection in patients with bladder cancer (BCa) is controversial. We performed a diagnostic meta-analysis to evaluate current evidence on the use of miRNA assays to diagnose BCa. Methods: We systematically searched PubMed, Embase, and Web of Science for studies published before March 31, 2015. The pooled sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and area under the curve (AUC) were calculated to evaluate the overall test performance. Subgroup analyses were used to explore the between-study heterogeneity. Deeks’ funnel plot asymmetry test was used to test publication bias. We applied the software of RevMan 5.2 and Stata 11.0 to the meta-analysis. Results: A total of 23 studies from nine articles were included in the meta-analysis, with a total of 719 patients and 494 controls. The pooled sensitivity and specificity were 0.75 (95% confidence interval [CI], 0.68–0.80) and 0.75 (95% CI, 0.70–0.80), respectively. The pooled positive likelihood ratio was 3.03 (95% CI, 2.50–3.67); negative likelihood ratio was 0.33 (95% CI, 0.27–0.42); and diagnostic odds ratio was 9.07 (95% CI, 6.35–12.95). The pooled AUC was 0.81 (95% CI, 0.78–0.85). Subgroup analyses indicated that the multiple miRNAs assays and urine supernatant assays showed high accuracies in diagnosing BCa. Conclusion: The miRNA assays may serve as potential noninvasive diagnostic tool for the detection of BCa. However, the clinical application of miRNA assays for BCa diagnosis still needs further validation by large prospective studies. Keywords: microRNAs, bladder cancer, diagnostic accuracy, meta-analysis
url http://www.dovepress.com/urine-micrornas-as-biomarkers-for-bladder-cancer-a-diagnostic-meta-ana-peer-reviewed-article-OTT
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