M2BPGi Correlated with Immunological Biomarkers and Further Stratified Recurrence Risk in Patients with Hepatocellular Carcinoma

Author:

Lee I-ChengORCID,Lei Hao-Jan,Wang Lei-Chi,Yeh Yi-Chen,Chau Gar-Yang,Hsia Cheng-Yuan,Chou Shu-Cheng,Luo Jiing-Chyuan,Hou Ming-Chih,Huang Yi-Hsiang

Abstract

Introduction: Novel biomarkers reflecting liver fibrosis and the immune microenvironment may correlate with the risk of hepatocellular carcinoma (HCC) recurrence. This study aimed to evaluate the prognostic value of serum biomarkers in predicting HCC recurrence. Methods: Serum biomarkers, including M2BPGi, IL-6, IL-10, CCL5, VEGF-A, soluble PD-1, PD-L1, TIM-3, and LAG-3, were measured in 247 patients with HCC undergoing surgical resection. Factors associated with recurrence-free survival (RFS) and overall survival (OS) were evaluated. The ERASL-post model and IMbrave050 criteria were used to define HCC recurrence risk groups. Results: Serum M2BPGi levels significantly correlated with FIB-4 score, aspartate transaminase-to-platelet ratio index, ALBI score, alpha-fetoprotein (AFP), alanine transaminase, aspartate transaminase, IL-10, CCL5, VEGF-A, soluble PD-1, PD-L1, TIM-3, and LAG-3 levels. M2BPGi, VEGF-A, soluble PD-1, and TIM-3 levels significantly correlated with RFS. In multivariate analysis, M2BPGi >1.5 COI (hazard ratio [HR] = 2.100, p < 0.001), tumor size >5 cm (HR = 1.859, p = 0.002), multiple tumors (HR = 2.562, p < 0.001), AFP >20 ng/mL (HR = 2.141, p < 0.001), and microvascular invasion (HR = 1.954, p = 0.004) were independent predictors of RFS. M2BPGi levels significantly stratified the recurrence risk in ERASL-post and IMbrave050 risk groups. An M2BPGi-based model could significantly discriminate RFS in the overall cohort as well as in the IMbrave050 low- and high-risk groups. M2BPGi >1.5 COI was also an independent predictor of OS after resection (HR = 2.707, p < 0.001). Conclusion: Serum M2BPGi levels significantly correlated with surrogate markers of liver fibrosis, liver function, and immunology. M2BPGi is a significant predictor of HCC recurrence and survival after resection and could be incorporated into recurrence-prediction models.

Publisher

S. Karger AG

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