Frontiers in immunology · 2026
Single-cell transcriptomic profile unveils distinct immune ecosystems in alcohol- and nonalcohol-associated hepatocellular carcinoma.
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Huang Huan, Chen Haotian, Xu Xutao, Pan Shuo, Cheng Yuheng, Tang Junliang, Wang Qiang, Tao Junyue, Huang Lijuan, Chen Renbiao, Jin Chengtao, Zhang Hongxia, Fang Yanfei, Wang Kan, Cao Qian, Wen Zhenzhen
Аннотация
Alcohol-associated hepatocellular carcinoma (A-HCC) shows more aggressive progression and has a poorer prognosis than nonalcohol-associated HCC (NA-HCC), but the underlying tumor microenvironment (TME) heterogeneity remains poorly characterized. Here, we performed single-cell RNA sequencing (scRNA-seq) on tumor and adjacent normal tissues from two A-HCC patients, constructing the first single-cell transcriptomic profile of human A-HCC. This dataset was integrated with public NA-HCC scRNA-seq data to compare cellular composition, functional states, and intercellular communication. Both HCC subtypes displayed immunosuppressive TME features, which were significantly more pronounced in A-HCC. Specifically, A-HCC tumors showed greater enrichment of regulatory T cells (Tregs) with enhanced suppressive function, anti-inflammatory macrophage polarization, and more severe CD8+ T and NK cell depletion and dysfunction with reduced metabolic activity. Malignant hepatocytes in A-HCC exhibited increased copy-number variation, epithelial-mesenchymal transition (EMT), stemness, proliferation, and drug resistance associated gene signature scores. Cell-cell communication analysis further suggested A-HCC-specific upregulation of immunosuppressive signaling pathways (LTA/LTB, TGF-β, LGALS9-HAVCR2) that reinforce this pro-tumorigenic ecosystem. A Treg-derived gene signature from A-HCC was associated with worse overall survival in independent TCGA cohorts. This first comprehensive single-cell comparison uncovers a coordinated immunosuppressive and malignant ecosystem in A-HCC that may be distinct from NA-HCC, providing a mechanistic framework to understand its aggressive clinical behavior and to identify potential etiology-targeted therapeutic strategies. Despite the limited sample size, this study provides the first single-cell resource for A-HCC and lays the foundation for future large-scale validation.