ReviewLiver cancer2026
Gd-EOB-DTPA-Enhanced Magnetic Resonance Imaging for Predicting Immunotherapy Response in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.
Review in Liver cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Hepatocellular carcinoma (HCC) harboring CTNNB1 mutations that activate the Wnt/β-catenin pathway demonstrates increased gadoxetic acid (Gd-EOB-DTPA) uptake due to overexpressed organic anion transporting polypeptide 1B3 (OATP1B3) and exhibits immune checkpoint inhibitor (ICI) resistance attributed to an immune-excluded tumor microenvironment and tumor immune barriers. This systematic review investigated Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) for predicting immunotherapy response in HCC. Methods: A systematic search of PubMed, Web of Science, and Cochrane was conducted up to September 10, 2025. Studies linking relative enhancement ratio (RER) >0.9 on Gd-EOB-DTPA-enhanced MRI to progression-free survival (RECIST 1.1) in immunotherapy-treated patients were included. Following PRISMA 2020/SWiM guidelines, risk of bias was assessed via QUADAS-2. Meta-analysis was performed using JASP (v0.95.4) via a random-effects model with restricted maximum likelihood estimation. Heterogeneity was assessed using Results: Five studies ( Conclusions: To the best of our knowledge, this is the first systematic review evaluating the predictive utility of Gd-EOB-DTPA-enhanced MRI for HCC immunotherapy. Our findings suggest that an RER ≥0.9 serves as a potential noninvasive marker for poor treatment response. Notably, the observation that anti-VEGF combination therapy might mitigate this imaging-defined resistance is hypothesis-generating, underscoring the need for prospective studies to validate optimal strategies for patients with high-RER tumors.
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