Abstract 1503: Single-cell multiomics analysis reveals cell type-specific genetic regulatory programs underlying immunotherapy resistance in hepatocellular carcinoma

Abstract Although outcomes for patients with advanced hepatocellular carcinoma (HCC) have improved with the advent of immune-checkpoint inhibitor (ICI)-based therapies, only approximately 30% of patients achieve an objective response. With the rapid development of single-cell technologies, increasing attention has been paid to immunosuppressive cell types in the tumor microenvironment (TME) from a transcriptomic perspective; however, the contribution of genetic variation to immunotherapy resistance remains largely unexplored. Here, we employed single-cell multiomics of 14 treatment-naïve and ICI-resistant HCC patients to investigate cell type-specific genetic regulation underlying chromatin accessibility and gene expression within the HCC TME. High-quality single-cell ATAC-seq data were generated for 155,700 cells and annotated into 11 major cell types, including B cells, CAFs, CD4+ T cells, CD8+ T cells, dendritic cells, endothelial cells, macrophages, monocytes, NK cells, Tregs, and tumor cells. Leveraging genotype information inferred from single-cell ATAC-seq, RASQUAL systematically mapped 23,329 chromatin accessibility-associated quantitative trait loci (caQTLs) across all cell types. We found a wide range of cell number-normalized caQTLs in different cell types (0.01 to 0.22). Notably, tumor cells exhibited the highest frequency of caQTLs, suggesting greater genetic susceptibility within their regulatory landscape. Colocalization with liver cancer-related GWAS signals, combined with peak-to-gene association analyses, identified enhancer-like regulatory elements that may modulate genes involved in tumor progression and immunotherapy resistance. In summary, our study delineates the cell type-specific genetic control and regulatory architecture of HCC TME and provides mechanistic insights into the molecular basis of immunotherapy resistance. Acknowledgement: This study is supported by Li Ka Shing Foundation and CUHK Strategic Seed Funding for Collaborative Research Scheme. Citation Format: Siyuan Huang, Xiaohang Long, Stephen Lam Chan, Alfred Sze-Lok Cheng, . Single-cell multiomics analysis reveals cell type-specific genetic regulatory programs underlying immunotherapy resistance in 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 1503.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-1503
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 1503: Single-cell multiomics analysis reveals cell type-specific genetic regulatory programs underlying immunotherapy resistance in hepatocellular carcinoma

Xiaohang Long, Alfred Sze‐Lok Cheng, Stephen Lam Chan, Siyuan HUANG
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 1503: Single-cell multiomics analysis reveals cell type-specific genetic regulatory programs underlying immunotherapy resistance in hepatocellular carcinoma

Xiaohang Long, Alfred Sze‐Lok Cheng, Stephen Lam Chan, Siyuan HUANG
article en

Abstract

Abstract Although outcomes for patients with advanced hepatocellular carcinoma (HCC) have improved with the advent of immune-checkpoint inhibitor (ICI)-based therapies, only approximately 30% of patients achieve an objective response. With the rapid development of single-cell technologies, increasing attention has been paid to immunosuppressive cell types in the tumor microenvironment (TME) from a transcriptomic perspective; however, the contribution of genetic variation to immunotherapy resistance remains largely unexplored. Here, we employed single-cell multiomics of 14 treatment-naïve and ICI-resistant HCC patients to investigate cell type-specific genetic regulation underlying chromatin accessibility and gene expression within the HCC TME. High-quality single-cell ATAC-seq data were generated for 155,700 cells and annotated into 11 major cell types, including B cells, CAFs, CD4+ T cells, CD8+ T cells, dendritic cells, endothelial cells, macrophages, monocytes, NK cells, Tregs, and tumor cells. Leveraging genotype information inferred from single-cell ATAC-seq, RASQUAL systematically mapped 23,329 chromatin accessibility-associated quantitative trait loci (caQTLs) across all cell types. We found a wide range of cell number-normalized caQTLs in different cell types (0.01 to 0.22). Notably, tumor cells exhibited the highest frequency of caQTLs, suggesting greater genetic susceptibility within their regulatory landscape. Colocalization with liver cancer-related GWAS signals, combined with peak-to-gene association analyses, identified enhancer-like regulatory elements that may modulate genes involved in tumor progression and immunotherapy resistance. In summary, our study delineates the cell type-specific genetic control and regulatory architecture of HCC TME and provides mechanistic insights into the molecular basis of immunotherapy resistance. Acknowledgement: This study is supported by Li Ka Shing Foundation and CUHK Strategic Seed Funding for Collaborative Research Scheme. Citation Format: Siyuan Huang, Xiaohang Long, Stephen Lam Chan, Alfred Sze-Lok Cheng, . Single-cell multiomics analysis reveals cell type-specific genetic regulatory programs underlying immunotherapy resistance in 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 1503.

Cancer ResearchVol. 86(7_Supplement)
Chinese University of Hong Kong (HK)
Good health and well-being
Openalex Percentile: Top 7%
Single-cell and spatial transcriptomics
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