Diagnostic performance of circular RNAs in human cancers: A systematic review and meta‐analysis
Abstract Background Recently, accumulating evidence have revealed that circular RNA (circRNA) was deregulated in multiple types of cancer, suggesting that circRNA might serve as a novel candidate biomarker of cancer diagnosis. However, inconsistent results have become an obstacle in applying circRNA...
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doaj-06615a8ea8654b78a8dbd84a2e18864f2020-11-25T00:12:29ZengWileyMolecular Genetics & Genomic Medicine2324-92692019-07-0177n/an/a10.1002/mgg3.749Diagnostic performance of circular RNAs in human cancers: A systematic review and meta‐analysisJuan Li0Hang Li1Xiaoting Lv2Zitai Yang3Min Gao4Yanhong Bi5Ziwei Zhang6Shengli Wang7Zhigang Cui8Baosen Zhou9Zhihua Yin10Department of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaDepartment of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaDepartment of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaDepartment of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaDepartment of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaDepartment of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaDepartment of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaDepartment of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaSchool of Nursing China Medical University Shenyang ChinaDepartment of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaDepartment of Epidemiology, School of Public Health China Medical University Shenyang PR ChinaAbstract Background Recently, accumulating evidence have revealed that circular RNA (circRNA) was deregulated in multiple types of cancer, suggesting that circRNA might serve as a novel candidate biomarker of cancer diagnosis. However, inconsistent results have become an obstacle in applying circRNAs to clinical practice. The aim of this study is to evaluate diagnostic value of circRNAs among cancers. Methods A literature search was systematically performed among PubMed, Sciencedirect, Cochrane Library, Web of Science, Wanfang, and Chinese National Knowledge Infrastructure databases up to February 15, 2019. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratios, negative likelihood ratios, diagnostic odds ratio, and area under the SROC curve (AUC) were applied to evaluate diagnostic performance of circRNAs. Results In total, the study included 64 studies with single circRNA and 13 studies with combined circRNAs. Overall, the study presented that a single circRNA had moderate diagnostic value, with a SEN of 0.75, a SPE of 0.76, and an AUC of 0.82. The plasma circRNAs had higher diagnostic accuracy than tissue (AUC: 0.87, 95% confidence interval [CI]: 0.83–0.89 for plasma/serum subgroup; AUC: 0.79, 95% CI: 0.75–0.82 for tissue subgroup). Furthermore, the combined circRNAs had good diagnostic efficacy for GC, with a SEN of 0.89, a SPE of 0.94, and an AUC of 0.97, respectively. Conclusion This study confirmed that circRNAs may be candidate biomarkers for cancer diagnosis. In particular, diagnosis of combined circRNAs will be a new alternative applied to clinical research and practice for cancer.https://doi.org/10.1002/mgg3.749biomarkercancerCircRNAdiagnosis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Juan Li Hang Li Xiaoting Lv Zitai Yang Min Gao Yanhong Bi Ziwei Zhang Shengli Wang Zhigang Cui Baosen Zhou Zhihua Yin |
spellingShingle |
Juan Li Hang Li Xiaoting Lv Zitai Yang Min Gao Yanhong Bi Ziwei Zhang Shengli Wang Zhigang Cui Baosen Zhou Zhihua Yin Diagnostic performance of circular RNAs in human cancers: A systematic review and meta‐analysis Molecular Genetics & Genomic Medicine biomarker cancer CircRNA diagnosis |
author_facet |
Juan Li Hang Li Xiaoting Lv Zitai Yang Min Gao Yanhong Bi Ziwei Zhang Shengli Wang Zhigang Cui Baosen Zhou Zhihua Yin |
author_sort |
Juan Li |
title |
Diagnostic performance of circular RNAs in human cancers: A systematic review and meta‐analysis |
title_short |
Diagnostic performance of circular RNAs in human cancers: A systematic review and meta‐analysis |
title_full |
Diagnostic performance of circular RNAs in human cancers: A systematic review and meta‐analysis |
title_fullStr |
Diagnostic performance of circular RNAs in human cancers: A systematic review and meta‐analysis |
title_full_unstemmed |
Diagnostic performance of circular RNAs in human cancers: A systematic review and meta‐analysis |
title_sort |
diagnostic performance of circular rnas in human cancers: a systematic review and meta‐analysis |
publisher |
Wiley |
series |
Molecular Genetics & Genomic Medicine |
issn |
2324-9269 |
publishDate |
2019-07-01 |
description |
Abstract Background Recently, accumulating evidence have revealed that circular RNA (circRNA) was deregulated in multiple types of cancer, suggesting that circRNA might serve as a novel candidate biomarker of cancer diagnosis. However, inconsistent results have become an obstacle in applying circRNAs to clinical practice. The aim of this study is to evaluate diagnostic value of circRNAs among cancers. Methods A literature search was systematically performed among PubMed, Sciencedirect, Cochrane Library, Web of Science, Wanfang, and Chinese National Knowledge Infrastructure databases up to February 15, 2019. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratios, negative likelihood ratios, diagnostic odds ratio, and area under the SROC curve (AUC) were applied to evaluate diagnostic performance of circRNAs. Results In total, the study included 64 studies with single circRNA and 13 studies with combined circRNAs. Overall, the study presented that a single circRNA had moderate diagnostic value, with a SEN of 0.75, a SPE of 0.76, and an AUC of 0.82. The plasma circRNAs had higher diagnostic accuracy than tissue (AUC: 0.87, 95% confidence interval [CI]: 0.83–0.89 for plasma/serum subgroup; AUC: 0.79, 95% CI: 0.75–0.82 for tissue subgroup). Furthermore, the combined circRNAs had good diagnostic efficacy for GC, with a SEN of 0.89, a SPE of 0.94, and an AUC of 0.97, respectively. Conclusion This study confirmed that circRNAs may be candidate biomarkers for cancer diagnosis. In particular, diagnosis of combined circRNAs will be a new alternative applied to clinical research and practice for cancer. |
topic |
biomarker cancer CircRNA diagnosis |
url |
https://doi.org/10.1002/mgg3.749 |
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