J Cancer 2018; 9(9):1623-1634. doi:10.7150/jca.24193 This issue

Research Paper

Diagnostic and prognostic value of microRNA-628 for cancers

Jing-Hua Li1,#, Shan-Shan Sun1,#, Chang-Jin Fu1, An-Qi Zhang1, Chen Wang1, Rong Xu2, Shu-Yang Xie2, Ping-Yu Wang1,2,✉

1. Department of Epidemiology, Binzhou Medical University, YanTai, ShanDong, 264003, P.R.China.
2. Department of Biochemistry and Molecular Biology, Binzhou Medical University, YanTai, ShanDong, 264003, P.R.China.
# These authors contributed equally to this work.

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Li JH, Sun SS, Fu CJ, Zhang AQ, Wang C, Xu R, Xie SY, Wang PY. Diagnostic and prognostic value of microRNA-628 for cancers. J Cancer 2018; 9(9):1623-1634. doi:10.7150/jca.24193. Available from https://www.jcancer.org/v09p1623.htm

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Background: Many studies manifested miRNA-628 (miR-628) was deregulated in various cancers, indicating that miR-628 might serve as a novel biomarker of cancer diagnosis and prognosis, but it's role was still uncertain. This study aimed to evaluate the value of miR-628 in various cancers for diagnosis and prognosis, as well as its predictive power in combination biomarkers.

Materials and Methods: A literature search was performed using Medline (via PubMed), Embase, Web of Science databases, and Ovid platform up to November 2017. Meta-analysis was performed to provide summative outcomes. Quality assessment of each included study was performed.

Results: Twelve articles with 20 studies were included in our meta-analysis, including 8 articles with 15 studies for diagnostic meta-analysis and 4 articles with 5 studies for prognostic meta-analysis. For the diagnostic meta-analysis of miR-628 alone, the overall pooled results for sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the summary receiver operating characteristic (SROC) curve (AUC) were 0.81 (95% CI: 0.62-0.91), 0.72 (95% CI: 0.48-0.88), 2.90 (95% CI: 1.50-5.40), 0.27 (95% CI: 0.14-0.50), 11.0 (95% CI: 4.00-25.00), and 0.84 (95% CI: 0.80-0.87), respectively. For the diagnostic meta-analysis of miR-628-related combination biomarkers, the above six parameters were 0.89 (95% CI: 0.84-0.92), 0.93 (95% CI: 0.82-0.97), 12.30 (95% CI: 4.70-32.50), 0.12 (95% CI: 0.08-0.19), and 100.00 (95% CI: 28.00-354.00), 0.93 (95% CI: 0.90-0.95), respectively. For the prognostic meta-analysis, patients with lower miR-628 had significant shorter overall survival than high expression of miR-628 (HR = 1.553, 95% CI: 1.041-2.318, z = 2.16, P = 0.031).

Conclusions: This study confirms that miR-628 may be a promising biomarker for cancer diagnosis and prognosis. Expertly, microRNAs combination biomarkers could be a new alternative for clinical application.

Keywords: biomarker, miR-628, cancer, diagnosis, prognosis, meta-analysis.