Diagnostic accuracy of circulating microRNA in hepatitis B virus-related hepatocellular carcinoma: a meta-analysis based on Asian data

Abstract

Background and aim: hepatitis B virus (HBV) is the main risk factor for hepatocellular carcinoma (HCC). We performed a meta-analysis based on Asian data to evaluate the diagnostic accuracy of circulating microRNA as a non-invasive biomarker in the diagnosis of HBV-related HCC. Methods: a comprehensive literature search (updated to May 12, 2021) in PubMed, Embase, Web of Science, Wanfang Database, and China National Knowledge Infrastructure (CNKI) was performed to identify eligible studies. The sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) for diagnosing HBV-related HCC were pooled in this meta-analysis. A subgroup analysis was performed to explore heterogeneity, and Deeks' funnel plot was used to assess publication bias. Results: a total of 19 articles including 32 studies were included in the current meta-analysis. The overall sensitivity, specificity, PLR, NLR, DOR and AUC were 0.83 (95 % CI: 0.79 to 0.87), 0.78 (95 % CI: 0.73 to 0.83), 3.9 (95 % CI: 3.0 to 4.9), 0.21 (95 % CI: 0.16 to 0.27), 18 (95 % CI: 12 to 27) and 0.88 (95 % CI: 0.85 to 0.91), respectively. Subgroup analysis shows that miRNA clusters with a large sample size showed better diagnostic accuracy. Although there is no publication bias, the research still has some limitations. Conclusions: circulating miRNAs could serve as a potential non-invasive biomarker in diagnosing HBV-related HCC in Asian populations.