机构:[1]Department of General Surgery, Chengdu Integrated TCM & Western Medicine Hospital (Chengdu First People’s Hospital), Chengdu, 610041, China[2]School of Medicine, University of Electronic Science and Technology of China, Key Laboratory for Human Disease Gene Study, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, 610054, China四川省人民医院[3]Department of Laboratory Medicine, Affiliated Hospital of University of Electronic Science and Technology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu, 610072, China四川省人民医院[4]Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochou University, Institute of Blood and Marrow Transplantation, Suzhou, 215006, China
Background: Increasing evidence has identified circular RNAs (circRNAs) as ideal molecular biomarkers for cancer diagnosis, therapy, and prognosis. However, the overall diagnostic efficiency of circRNAs remains unclear. Thus, this meta-analysis aimed to comprehensively evaluate the diagnostic accuracy of circRNA expression profiles for cancer. Methods: A literature search of online databases was conducted to identify all eligible studies. The quality of the studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. All statistical analyses were executed using STATA 14.0, Meta-DiSc 1.4, and Review Manager 5.2 software. Results: A total of 32 studies, involving 2,400 cases and 2,295 controls, were included in the diagnostic meta-analysis. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under the curve were 0.79 (95% CI: 0.73-0.84), 0.73 (95% CI: 0.67-0.79), 2.9 (95% CI: 2.5-3.5), 0.29 (95% CI: 0.24-0.36), 10 (95% CI: 8-13), and 0.83 (95% CI: 0.79-0.86), respectively. The overall analysis suggested that circRNAs are useful diagnostic biomarkers for cancer. Subgroup analysis indicated that plasma samples had a better diagnostic performance than cancer tissue samples for cancer detection. Studies involving >= 100 cases or gastric cancer showed higher sensitivities than those including < 100 cases or other cancers. Conclusion: This meta-analysis revealed that circRNAs were significantly correlated with cancer diagnosis. In addition, circRNAs had good diagnostic accuracy and might serve as effective diagnostic biomarkers for cancer.
基金:
This work was supported by the National Natural Science
Foundation of China (No. 81603018) and the Clinical and
Translational Science Foundation of Sichuan Provincial
People’s Hospital (No. 2017LY03).
第一作者机构:[1]Department of General Surgery, Chengdu Integrated TCM & Western Medicine Hospital (Chengdu First People’s Hospital), Chengdu, 610041, China
共同第一作者:
通讯作者:
通讯机构:[3]Department of Laboratory Medicine, Affiliated Hospital of University of Electronic Science and Technology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu, 610072, China[4]Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochou University, Institute of Blood and Marrow Transplantation, Suzhou, 215006, China[*1]Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochou University, Institute of Blood and Marrow Transplantation, No.188 Shizi Street, Suzhou 215006, People’s Republic of China[*2]Department of Laboratory Medicine, Affiliated Hospital of University of Electronic Science and Technology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, No.32West Second Section First Ring Road, Chengdu 610072, People’s Republic of China
推荐引用方式(GB/T 7714):
Hong Tan,Li Gan,Xiaoming Fan,et al.Diagnostic value of circular RNAs as effective biomarkers for cancer: a systematic review and meta-analysis[J].ONCOTARGETS AND THERAPY.2019,12:2623-2633.doi:10.2147/OTT.S197537.
APA:
Hong Tan,Li Gan,Xiaoming Fan,Limin Liu&Shan Liu.(2019).Diagnostic value of circular RNAs as effective biomarkers for cancer: a systematic review and meta-analysis.ONCOTARGETS AND THERAPY,12,
MLA:
Hong Tan,et al."Diagnostic value of circular RNAs as effective biomarkers for cancer: a systematic review and meta-analysis".ONCOTARGETS AND THERAPY 12.(2019):2623-2633