Abstract 4988: Comprehensive tumor microenvironment analysis identifies a suppressive immune landscape in stemness-high hepatocellular carcinoma

Abstract Introduction: Hepatocellular carcinoma (HCC) remains a leading cause of cancer mortality, driven by late detection and limited therapeutic efficacy. A prior molecular classification defined five transcriptomic subtypes, among which the stemness-high (STM) subtype exhibits the poorest survival and pronounced stemness programs. Given the scarcity of effective treatments for this high-risk population, it is critical to characterize their tumor immune landscape and evaluate potential sensitivity to immune checkpoint inhibitors (ICIs). Here, we systematically profiled the immunologic features of STM tumors to assess their immunogenicity and likelihood of benefiting from ICIs. Methods: Four resectable HCC transcriptomic cohorts (Korea, Samsung, Zhongshan, and Modena) were analyzed. STM subtype assignment was performed using the Bayesian Compound Covariate Predictor (BCCP) with previously defined STM signatures. Immune deconvolution was conducted using TIMER 3.0 (CIBERSORT, MCP-counter, EPIC), and immune cell states were assessed by EcoTyper. Immune dysfunction and exclusion were quantified using TIDE. Survival outcomes were evaluated by Kaplan-Meier analysis. Results: Across all cohorts, STM tumors demonstrated significantly worse overall survival and recurrence-free survival. Clinically, STM tumors were enriched for adverse pathological features, including higher T stage, poor differentiation, and increased vascular invasion.Immune profiling revealed a profoundly suppressive tumor microenvironment, characterized by elevated M0 macrophages, regulatory T cells, myeloid-derived suppressor-like signatures, and abundant cancer-associated fibroblasts (CAFs). EcoTyper identified enrichment of pro-migratory fibroblasts, exhausted and Treg-like CD4+ T cell states, and tumor-associated endothelial and epithelial programs.TIDE analysis demonstrated high exclusion and dysfunction scores, along with increased CD274 (PD-L1) and Merck18 expression, collectively indicating an immune-excluded, poorly immunogenic, and ICI-resistant profile. Conclusions: The STM subtype of HCC is defined by a markedly immunosuppressive and immune-excluded tumor microenvironment with dysfunctional T cell states, CAF/MDSC infiltration, and angiogenic activity. These features are strongly associated with resistance to ICIs, suggesting that immune checkpoint blockade alone is unlikely to be effective. Alternative or combination therapeutic strategies will be required to improve outcomes in this high-risk molecular subtype. Citation Format: Woo Young Kwon, Sungho Ko, Sungwoo Cho, Song-A Park, Sihun Cho, Sung Hwan Lee. Comprehensive tumor microenvironment analysis identifies a suppressive immune landscape in stemness-high hepatocellular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4988.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-4988
Primary Topic
Cancer Immunotherapy and Biomarkers
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article

Abstract 4988: Comprehensive tumor microenvironment analysis identifies a suppressive immune landscape in stemness-high hepatocellular carcinoma

Sihun Cho, Woo Young Kwon, Song-A Park, Sungwoo Cho et al.
Cancer Research
Cancer Immunotherapy and Biomarkers
article

Abstract 4988: Comprehensive tumor microenvironment analysis identifies a suppressive immune landscape in stemness-high hepatocellular carcinoma

Sihun Cho, Woo Young Kwon, Song-A Park, Sungwoo Cho, Sung Hwan Lee, Sungho Ko
article en

Abstract

Abstract Introduction: Hepatocellular carcinoma (HCC) remains a leading cause of cancer mortality, driven by late detection and limited therapeutic efficacy. A prior molecular classification defined five transcriptomic subtypes, among which the stemness-high (STM) subtype exhibits the poorest survival and pronounced stemness programs. Given the scarcity of effective treatments for this high-risk population, it is critical to characterize their tumor immune landscape and evaluate potential sensitivity to immune checkpoint inhibitors (ICIs). Here, we systematically profiled the immunologic features of STM tumors to assess their immunogenicity and likelihood of benefiting from ICIs. Methods: Four resectable HCC transcriptomic cohorts (Korea, Samsung, Zhongshan, and Modena) were analyzed. STM subtype assignment was performed using the Bayesian Compound Covariate Predictor (BCCP) with previously defined STM signatures. Immune deconvolution was conducted using TIMER 3.0 (CIBERSORT, MCP-counter, EPIC), and immune cell states were assessed by EcoTyper. Immune dysfunction and exclusion were quantified using TIDE. Survival outcomes were evaluated by Kaplan-Meier analysis. Results: Across all cohorts, STM tumors demonstrated significantly worse overall survival and recurrence-free survival. Clinically, STM tumors were enriched for adverse pathological features, including higher T stage, poor differentiation, and increased vascular invasion.Immune profiling revealed a profoundly suppressive tumor microenvironment, characterized by elevated M0 macrophages, regulatory T cells, myeloid-derived suppressor-like signatures, and abundant cancer-associated fibroblasts (CAFs). EcoTyper identified enrichment of pro-migratory fibroblasts, exhausted and Treg-like CD4+ T cell states, and tumor-associated endothelial and epithelial programs.TIDE analysis demonstrated high exclusion and dysfunction scores, along with increased CD274 (PD-L1) and Merck18 expression, collectively indicating an immune-excluded, poorly immunogenic, and ICI-resistant profile. Conclusions: The STM subtype of HCC is defined by a markedly immunosuppressive and immune-excluded tumor microenvironment with dysfunctional T cell states, CAF/MDSC infiltration, and angiogenic activity. These features are strongly associated with resistance to ICIs, suggesting that immune checkpoint blockade alone is unlikely to be effective. Alternative or combination therapeutic strategies will be required to improve outcomes in this high-risk molecular subtype. Citation Format: Woo Young Kwon, Sungho Ko, Sungwoo Cho, Song-A Park, Sihun Cho, Sung Hwan Lee. Comprehensive tumor microenvironment analysis identifies a suppressive immune landscape in stemness-high hepatocellular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4988.

Cancer ResearchVol. 86(7_Supplement)
World Precision Instruments (United States) (US), Korea Telecom (South Korea) (KR)
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Openalex Percentile: Top 9%
Cancer Immunotherapy and Biomarkers
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