Subtype-dependent PD-L1 stability and immune context shape immunotherapy response in hepatocellular carcinoma

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 + T-cell–mediated killing and PD-L1 blockade, whereas S2-like cells were more resistant to cytotoxicity. ICIs induced donor-dependent cytotoxicity, with variable responder profiles; durvalumab outperformed atezolizumab, consistent with reduced glycosylation dependence. IFN-γ priming enhanced PD-L1 expression and restored immune responsiveness in low-responder co-cultures. Overall, tumors with stable glycosylated PD-L1 (S1-like) rely on PD-L1–mediated immune suppression and may benefit from PD-L1–targeted therapies, whereas tumors with low or rapidly turned-over PD-L1 (S2-like) exhibit dynamic PD-L1 regulation with increased reliance on de novo synthesis, limiting responsiveness to PD-L1 blockade alone and supporting the need for combinatorial approaches. 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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Journal
Frontiers in Immunology
Published
2026-05-01
DOI
https://doi.org/10.3389/fimmu.2026.1822947
Primary Topic
Cancer Immunotherapy and Biomarkers
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article
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article

Subtype-dependent PD-L1 stability and immune context shape immunotherapy response in hepatocellular carcinoma

Paola Tarchi, Claudio Tiribelli, Luca Grisetti, Clarissa J. C. Garcia
Frontiers in Immunology
Cancer Immunotherapy and Biomarkers
article

Subtype-dependent PD-L1 stability and immune context shape immunotherapy response in hepatocellular carcinoma

Paola Tarchi, Claudio Tiribelli, Luca Grisetti, Clarissa J. C. Garcia
article en

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 + T-cell–mediated killing and PD-L1 blockade, whereas S2-like cells were more resistant to cytotoxicity. ICIs induced donor-dependent cytotoxicity, with variable responder profiles; durvalumab outperformed atezolizumab, consistent with reduced glycosylation dependence. IFN-γ priming enhanced PD-L1 expression and restored immune responsiveness in low-responder co-cultures. Overall, tumors with stable glycosylated PD-L1 (S1-like) rely on PD-L1–mediated immune suppression and may benefit from PD-L1–targeted therapies, whereas tumors with low or rapidly turned-over PD-L1 (S2-like) exhibit dynamic PD-L1 regulation with increased reliance on de novo synthesis, limiting responsiveness to PD-L1 blockade alone and supporting the need for combinatorial approaches. 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.

Frontiers in ImmunologyVol. 17
University of Trieste (IT), Fondazione Italiana Fegato (IT), Gastroenterology Hospital "Saverio de Bellis" (IT), Azienda Sanitaria Universitaria Integrata di Trieste (IT)
Openalex Percentile: Top 13%
Cancer Immunotherapy and Biomarkers
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