ArticleFrontiers in immunology2026
Subtype-dependent PD-L1 stability and immune context shape immunotherapy response in hepatocellular carcinoma.
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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5 authors.
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Abstract
Introduction: Immune checkpoint inhibitors (ICIs) targeting the PD-1/PD-L1 axis have expanded treatment options for hepatocellular carcinoma (HCC), yet only a subset of patients achieves durable responses. Limited efficacy reflects gaps in understanding PD-L1 regulation, including its biochemical heterogeneity, subtype-specific stability, and effects on tumor-immune interactions. We aimed to dissect these mechanisms and identify integrated biomarkers predictive of immunotherapy response. Methods: Human HCC and paired non-tumoral tissues, an HBV-driven transgenic mouse model, and five HCC cell lines representing Hoshida/Caruso subtypes were analyzed. PD-L1 expression, glycosylation, and stability were assessed by Western blot, flow cytometry, and immunohistochemistry. Functional assays included co-cultures of HCC cells with primary activated PBMCs from multiple healthy donors. Cells were treated with durvalumab or atezolizumab, in the presence or absence of IFN-γ stimulation. PD-L1 turnover was evaluated using cycloheximide and proteasome inhibition. Results: PD-L1 protein was increased in ~60% of tumors, particularly in virally driven HCC. Elevated PD-L1 in non-tumoral liver was associated with higher recurrence risk. Biochemical profiling revealed multiple PD-L1 species: mature N-glycosylated and intermediate forms indicative of enhanced stability were enriched in tumors. Glycosylated PD-L1 displayed prolonged half-life in S1/CL3 subtypes, whereas S2/CL1 cells exhibited rapid, proteasome-dependent turnover. PD-L1 abundance alone did not predict immune susceptibility: S1-like cells, despite higher PD-L1, were highly sensitive to CD8 Conclusions: PD-L1 regulation in HCC depends on molecular subtype, post-translational stability, and host immune competence. Integrating these factors provides a framework for guiding patient selection and optimizing immunotherapy.
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