PO.TB10.19 · 肿瘤生物学

全面的肿瘤微环境分析鉴定出干性高的肝细胞癌中的抑制性免疫格局

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

海报缩略图:全面的肿瘤微环境分析鉴定出干性高的肝细胞癌中的抑制性免疫格局
编号 4988 展板 13 时间 4/21 09:00–12:00 区域 Section 32 主讲 Woo Young Kwon, MS
分会场 Tumor-Immune Crosstalk
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作者与单位 Authors & Affiliations

Woo Young Kwon1, Sungho Ko2, Sungwoo Cho2, Song-A Park2, Sihun Cho2, Sung Hwan Lee1

1Omics & Real-world Data-driven AI for Precision Medicine Lab, Seongnam, Korea, Republic of,2Humanase Co., Ltd., Seongnam, Korea, Republic of

摘要 Abstract

中文摘要
引言:肝细胞癌(HCC)仍是癌症死亡的主要原因,由晚期检出和有限的治疗疗效所驱动。先前的分子分类界定了五种转录组亚型,其中干性高(STM)亚型表现出最差的生存和显著的干性程序。鉴于该高危人群缺乏有效治疗,表征其肿瘤免疫格局并评估对免疫检查点抑制剂(ICI)的潜在敏感性至关重要。在此,我们系统地分析了STM肿瘤的免疫学特征,以评估其免疫原性和从ICI获益的可能性。 方法:分析了四个可切除HCC转录组队列(韩国、三星、中山和摩德纳)。使用贝叶斯复合协变量预测器(BCCP)结合先前界定的STM特征进行STM亚型判定。使用TIMER 3.0(CIBERSORT、MCP-counter、EPIC)进行免疫解卷积,并通过EcoTyper评估免疫细胞状态。使用TIDE量化免疫功能障碍和排斥。通过Kaplan-Meier分析评估生存结局。 结果:在所有队列中,STM肿瘤显示出显著更差的总生存和无复发生存。临床上,STM肿瘤富集不良病理特征,包括更高的T分期、低分化和血管侵犯增加。免疫分析揭示了一种深度抑制性肿瘤微环境,其特征为M0巨噬细胞、调节性T细胞、髓系来源抑制性样特征升高,以及丰富的癌症相关成纤维细胞(CAF)。EcoTyper鉴定出促迁移成纤维细胞、耗竭和Treg样CD4⁺ T细胞状态,以及肿瘤相关内皮和上皮程序的富集。TIDE分析显示高排斥和功能障碍评分,以及CD274(PD-L1)和Merck18表达增加,共同表明一种免疫排斥、免疫原性差且ICI耐药的特征。 结论:HCC的STM亚型以显著免疫抑制和免疫排斥的肿瘤微环境为特征,伴有功能障碍的T细胞状态、CAF/MDSC浸润和血管生成活性。这些特征与ICI耐药密切相关,提示单独的免疫检查点阻断不太可能有效。改善这一高危分子亚型的结局将需要替代或联合治疗策略。
查看英文原文 English 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.
利益披露 Disclosure
W. Kwon, None.. S. Ko, None.. S. Cho, None.. S. Park, None.. S. Cho, None.. S. Lee, None.

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