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Value of miR-21 levels as potential biomarkers in the early diagnosis of hepatocellular carcinoma:a meta-analysis

, ORCID Icon &
Pages 586-597 | Received 07 Jan 2021, Accepted 11 Jul 2021, Published online: 26 Jul 2021
 

Abstract

Background

Many studies have reported that miR-21 levels are different between hepatocellular carcinoma (HCC) patients and healthy controls, which could be used as a potential diagnostic biomarker for HCC. However, the diagnostic value of miR-21 for HCC varied greatly in previous studies. Therefore, this meta-analysis aims to provide higher grade evidence to investigate the diagnostic value of miR-21 for HCC.

Methods

The databases of PubMed, Embase, Web of Science, and Chinese databases (CNKI and VIP) were searched. The indices of miR-21 in the diagnosis of HCC were pooled using bivariate random-effect models. QUADAS-2 was used to evaluate the quality of included studies. All statistical analyses were performed by STATA (12.0) software.

Results

Totally, 1589 subjects from 14 publications were included in this study. The pooled sensitivity, specificity, positive likelihood ratios (PLR), negative likelihood ratios (NLR), and area under the curve (AUC) were 0.83 (0.77–0.88), 0.80 (0.74–0.85), 4.12 (3.04–5.57), 0.21 (0.15–0.30), and 0.88 (0.85–0.91), respectively. Subgroup analysis showed that the AUC was higher in Non-China subgroup, qRT-PCR subgroup, and plasma subgroup than that in China subgroup, ddPCR subgroup, and serum subgroup, respectively. However, the AUC was not significantly different between the healthy control subgroup and chronic hepatitis control subgroup. Significant heterogeneity was found in this meta-analysis, while no evident publication bias was identified.

Conclusions

miR-21 is a valuable biomarker for the early diagnosis of HCC.

Author contributions

Study concept, design, acquisition, analysis and interpretation of data: Daojun Chen and Huiying Zhang. Drafting of the manuscript: Huiying Zhang. Critical revision of the manuscript for important intellectual content: Rui Ding.

Disclosure statement

The authors declare no conflict of interest.

Additional information

Funding

This study was supported by Grants for Scientific Research of BSKY [XJ201821] from Anhui Medical University and Funds of Anhui university natural science research project [KJ2019A0229].

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