已发表论文

miR-210 作为人类癌症检测潜在肿瘤生物标志物的诊断意义:30 篇文章的更新汇总分析

 

Authors Feng S, He A, Wang D, Kang B

Received 20 August 2018

Accepted for publication 26 November 2018

Published 9 January 2019 Volume 2019:12 Pages 479—493

DOI https://doi.org/10.2147/OTT.S184564

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Justinn Cochran

Peer reviewer comments 2

Editor who approved publication: Dr XuYu Yang

Abstract: A large number of studies have explored the diagnostic value of miR-210 as a potential diagnostic cancer biomarker to detect various cancers in patients. However, the results of its diagnostic accuracy and reliability in individual studies are still inconsistent. Therefore, we conducted this updated pooled analysis to derive a more reliable conclusion of the overall accuracy of miR-210 in cancer detection and diagnosis. A comprehensive literature search was performed using the PubMed, Cochrane Library, Web of Science, China National Knowledge Infrastructure, and Wanfang databases. The quality of all eligible studies was scored according to Quality Assessment of Diagnostic Accuracy Studies-2 guidelines. The bivariate mixed model was applied to pooled sensitivity, specificity, likelihood ratios, and diagnostic ORs. The summary receiver operator characteristic (SROC) curve and the hierarchical SROC models were used to check overall diagnostic performance. Thirty articles with 2,304 patients and 1,673 controls were included in this study. The pooled parameters calculated from all studies are as follows: sensitivity -0.74 (95% CI: 0.68–0.79), specificity -0.79 (95% CI: 0.74–0.83), positive likelihood ratio -3.57 (95% CI: 2.85–4.47), negative likelihood ratio -0.32 (95% CI: 0.26–0.40), diagnostic OR -10.98 (95% CI: 7.55–15.98), SROC -0.84 (95% CI: 0.80–0.87). All of these results revealed that miR-210 had relatively moderate accuracy in distinguishing patients with various cancers from all other individuals. However, well-designed prospective studies with large sample sizes using different groups of the population are urgently warranted to confirm our findings.
Keywords: microRNA-210, cancer, biomarker, diagnosis, meta-analysis, ROC




Figure 1 The expression of miR-210 was up-regulated in various cancers compared with adjacent normal tissues.