Diagnostic Accuracy of circRNAs in Esophageal Cancer: A Meta-Analysis
Purpose. Early detection of esophageal cancer is beneficial to the survival and prognosis of patients. Circular RNAs (circRNAs) have been shown to be a potential biomarker for cancer, which can be used for the diagnosis of esophageal cancer. However, the roles of circRNAs in the diagnosis of esophag...
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doaj-f69ea619cbd8439fbef64f41e7a4b5952020-11-25T01:29:46ZengHindawi LimitedDisease Markers0278-02401875-86302019-01-01201910.1155/2019/96731299673129Diagnostic Accuracy of circRNAs in Esophageal Cancer: A Meta-AnalysisChen Niu0Lei Zhao1Xudong Guo2Yi Shen3Yi Shao4Fen Liu5Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, ChinaDepartment of Molecular Physiology and Biophysics, Holden Comprehensive Cancer Center, University of Iowa Carver College of Medicine, Iowa City, 52242 IA, USADepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, ChinaDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing 100069, ChinaPurpose. Early detection of esophageal cancer is beneficial to the survival and prognosis of patients. Circular RNAs (circRNAs) have been shown to be a potential biomarker for cancer, which can be used for the diagnosis of esophageal cancer. However, the roles of circRNAs in the diagnosis of esophageal cancer has been controversial. The present study, therefore, is aimed at determining the diagnostic accuracy of circRNAs in esophageal cancer. Methods. Relevant researches were searched from PubMed, Embase, Cochrane Library, OVID, and ISI Web of Science online databases up to March 11, 2019. The estimation of diagnostic indicators, threshold effect, and publication bias were measured by a bivariate binomial mixed model, the Spearman correlation, and Deeks’ funnel plot asymmetry test, respectively. Results. Five studies from 4 articles were included in this meta-analysis. The pooled sensitivity, specificity, overall positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the receiver operating characteristics curve (AUC) were 0.79 (95% CI: 0.69-0.87), 0.85 (95% CI: 0.68-0.94), 5.27 (95% CI: 2.46-11.32), 0.24 (95% CI: 0.16-0.36), 21.66 (95% CI: 9.33-50.30), and 0.88 (95% CI: 0.84-0.90), respectively. The Spearman correlation coefficient was 0.60 (P=0.285). The P value of Deeks’ funnel plot was 0.81. Conclusion. The above-mentioned results suggested that circRNAs possess a relatively higher diagnostic performance in distinguishing esophageal cancer patients from healthy individuals. Therefore, they may serve as potential clinical biomarkers for esophageal cancer diagnosis.http://dx.doi.org/10.1155/2019/9673129 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chen Niu Lei Zhao Xudong Guo Yi Shen Yi Shao Fen Liu |
spellingShingle |
Chen Niu Lei Zhao Xudong Guo Yi Shen Yi Shao Fen Liu Diagnostic Accuracy of circRNAs in Esophageal Cancer: A Meta-Analysis Disease Markers |
author_facet |
Chen Niu Lei Zhao Xudong Guo Yi Shen Yi Shao Fen Liu |
author_sort |
Chen Niu |
title |
Diagnostic Accuracy of circRNAs in Esophageal Cancer: A Meta-Analysis |
title_short |
Diagnostic Accuracy of circRNAs in Esophageal Cancer: A Meta-Analysis |
title_full |
Diagnostic Accuracy of circRNAs in Esophageal Cancer: A Meta-Analysis |
title_fullStr |
Diagnostic Accuracy of circRNAs in Esophageal Cancer: A Meta-Analysis |
title_full_unstemmed |
Diagnostic Accuracy of circRNAs in Esophageal Cancer: A Meta-Analysis |
title_sort |
diagnostic accuracy of circrnas in esophageal cancer: a meta-analysis |
publisher |
Hindawi Limited |
series |
Disease Markers |
issn |
0278-0240 1875-8630 |
publishDate |
2019-01-01 |
description |
Purpose. Early detection of esophageal cancer is beneficial to the survival and prognosis of patients. Circular RNAs (circRNAs) have been shown to be a potential biomarker for cancer, which can be used for the diagnosis of esophageal cancer. However, the roles of circRNAs in the diagnosis of esophageal cancer has been controversial. The present study, therefore, is aimed at determining the diagnostic accuracy of circRNAs in esophageal cancer. Methods. Relevant researches were searched from PubMed, Embase, Cochrane Library, OVID, and ISI Web of Science online databases up to March 11, 2019. The estimation of diagnostic indicators, threshold effect, and publication bias were measured by a bivariate binomial mixed model, the Spearman correlation, and Deeks’ funnel plot asymmetry test, respectively. Results. Five studies from 4 articles were included in this meta-analysis. The pooled sensitivity, specificity, overall positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the receiver operating characteristics curve (AUC) were 0.79 (95% CI: 0.69-0.87), 0.85 (95% CI: 0.68-0.94), 5.27 (95% CI: 2.46-11.32), 0.24 (95% CI: 0.16-0.36), 21.66 (95% CI: 9.33-50.30), and 0.88 (95% CI: 0.84-0.90), respectively. The Spearman correlation coefficient was 0.60 (P=0.285). The P value of Deeks’ funnel plot was 0.81. Conclusion. The above-mentioned results suggested that circRNAs possess a relatively higher diagnostic performance in distinguishing esophageal cancer patients from healthy individuals. Therefore, they may serve as potential clinical biomarkers for esophageal cancer diagnosis. |
url |
http://dx.doi.org/10.1155/2019/9673129 |
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