Baseline serum Mac-2 binding protein glycosylation isomer as a predictor of hepatocellular carcinoma in chronic hepatitis B patients: a systematic review and meta-analysis

Authors Andro Pramana Witarto, Bendix Samarta Witarto, Shidi Laras Pramudito, Achmad Januar Er Putra, Grace Manuela Nurhadi, Ummi Maimunah.

Abstract

Background A minimally invasive tool to promptly predict hepatocellular carcinoma (HCC) in chronic hepatitis B (CHB) is currently needed. In this study, we aimed via a meta-analysis to identify the serum Mac-2 binding protein glycosylation isomer (M2BPGi) as a novel glycoproteinbased liver fibrosis marker for predicting HCC in CHB patients.


Methods We conducted a systematic search on PubMed, Scopus, ProQuest, Wiley Online Library, and CINAHL Plus (via EBSCOhost). The articles were screened based on several eligibility criteria and were further assessed for study qualities using the Newcastle-Ottawa Scale. The outcomes were presented as standard mean difference (SMD), hazard ratio (HR), and predictive accuracy parameters of a baseline cutoff index (COI) for serum M2BPGi.


Results Fourteen studies involving 5918 CHB patients were included in this systematic review and meta-analysis. Baseline COI serum M2BPGi was significantly higher in CHB patients who developed HCC than in those who did not (SMD 1.32, 95% confidence interval [CI] 0.91-1.72). A significant HCC risk prediction was also observed (multivariate HR 1.18, 95%CI 1.05-1.32). Baseline COI serum M2BPGi could predict HCC with a pooled sensitivity of 74% (95%CI 50-89%), specificity of 80% (95%CI 65-90%), and area under the summary receiver operating characteristic curve of 0.84 (95%CI 0.81-0.87).


Conclusion High baseline COI serum M2BPGi may predict the development of HCC in CHB patients with moderate-to-high accuracy.


Keywords Biomarker, chronic hepatitis B, hepatocellular carcinoma, Mac-2 binding protein glycosylation isomer, Wisteria floribunda agglutinin-positive Mac-2 binding protein


Ann Gastroenterol 2022; 35 (6): 627-639

Published
2022-11-18
Section
Meta-Analysis