Abstract 7751: Integrative multi-omics and spatial transcriptomics reveal novel immunotherapy targets in hepatocellular carcinoma

Abstract Background: Immunotherapy has transformed the management of hepatocellular carcinoma (HCC), yet most patients fail to achieve durable responses. The underlying single-cell-level gene-regulatory mechanisms shaping immune evasion remain poorly understood. To uncover previously unknown therapeutic vulnerabilities, we integrated single-cell multiomic profiling with spatial transcriptomics in a 25-patient HCC immunotherapy cohort. Methods: Tumor samples underwent 10x multiome sequencing, enabling simultaneous scATAC-seq and scRNA-seq from the same cells using shared barcodes. This allowed cell-resolved mapping of chromatin accessibility, transcriptional states, and gene-regulatory relationships. We identified differentially accessible regions and gene-expression changes associated with clinical immunotherapy outcomes. To contextualize these regulatory programs in situ, spatial transcriptomic profiling was performed to map target-gene expression and immune-cell localization within the tumor microenvironment. Results: Joint scATAC-scRNA integration revealed previously unrecognized regulatory circuits distinguishing responders from non-responders, including chromatin-primed dysfunctional CD8+ T cells and TREM2+ macrophage programs not detectable by single-modality assays. Multiomic analysis identified novel candidate immune-regulatory targets, defined by coordinated shifts in chromatin accessibility and transcriptional activation at the single-cell level. Spatial mapping demonstrated that these targets are enriched in discrete immune-excluded regions and at tumor-myeloid interfaces, revealing new spatially orchestrated mechanisms of immune suppression. Several ligand-receptor pairs and non-canonical transcriptional regulators emerged as high-confidence targets for therapeutic intervention. Conclusions: By combining shared-barcode single-cell multiomics with spatial transcriptomics, we provide a comprehensive, mechanistic view of gene-regulatory changes driving immunotherapy resistance in HCC. This study uncovers novel, spatially validated immune-regulatory targets and highlights previously unknown cell-state transitions that may be leveraged to improve immunotherapy efficacy. Acknowledgements This research was supported by Li Ka Shing Foundation and internal funding from The Chinese University of Hong Kong. We thank all lab members for their contributions. Citation Format: Zihui Zhao, Xiaohang Long, Siyuan HUANG, Yan Liu, Alfred S. l. Cheng. Integrative multi-omics and spatial transcriptomics reveal novel immunotherapy targets 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 7751.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-7751
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 7751: Integrative multi-omics and spatial transcriptomics reveal novel immunotherapy targets in hepatocellular carcinoma

Xiaohang Long, Siyuan Huang, Alfred Sze Lok CHENG, Zihui Zhao et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 7751: Integrative multi-omics and spatial transcriptomics reveal novel immunotherapy targets in hepatocellular carcinoma

Xiaohang Long, Siyuan Huang, Alfred Sze Lok CHENG, Zihui Zhao, Yan Liu
article en

Abstract

Abstract Background: Immunotherapy has transformed the management of hepatocellular carcinoma (HCC), yet most patients fail to achieve durable responses. The underlying single-cell-level gene-regulatory mechanisms shaping immune evasion remain poorly understood. To uncover previously unknown therapeutic vulnerabilities, we integrated single-cell multiomic profiling with spatial transcriptomics in a 25-patient HCC immunotherapy cohort. Methods: Tumor samples underwent 10x multiome sequencing, enabling simultaneous scATAC-seq and scRNA-seq from the same cells using shared barcodes. This allowed cell-resolved mapping of chromatin accessibility, transcriptional states, and gene-regulatory relationships. We identified differentially accessible regions and gene-expression changes associated with clinical immunotherapy outcomes. To contextualize these regulatory programs in situ, spatial transcriptomic profiling was performed to map target-gene expression and immune-cell localization within the tumor microenvironment. Results: Joint scATAC-scRNA integration revealed previously unrecognized regulatory circuits distinguishing responders from non-responders, including chromatin-primed dysfunctional CD8+ T cells and TREM2+ macrophage programs not detectable by single-modality assays. Multiomic analysis identified novel candidate immune-regulatory targets, defined by coordinated shifts in chromatin accessibility and transcriptional activation at the single-cell level. Spatial mapping demonstrated that these targets are enriched in discrete immune-excluded regions and at tumor-myeloid interfaces, revealing new spatially orchestrated mechanisms of immune suppression. Several ligand-receptor pairs and non-canonical transcriptional regulators emerged as high-confidence targets for therapeutic intervention. Conclusions: By combining shared-barcode single-cell multiomics with spatial transcriptomics, we provide a comprehensive, mechanistic view of gene-regulatory changes driving immunotherapy resistance in HCC. This study uncovers novel, spatially validated immune-regulatory targets and highlights previously unknown cell-state transitions that may be leveraged to improve immunotherapy efficacy. Acknowledgements This research was supported by Li Ka Shing Foundation and internal funding from The Chinese University of Hong Kong. We thank all lab members for their contributions. Citation Format: Zihui Zhao, Xiaohang Long, Siyuan HUANG, Yan Liu, Alfred S. l. Cheng. Integrative multi-omics and spatial transcriptomics reveal novel immunotherapy targets 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 7751.

Cancer ResearchVol. 86(7_Supplement)
Chinese University of Hong Kong (HK), North District Hospital (HK), University of Hong Kong (HK)
Openalex Percentile: Top 9%
Single-cell and spatial transcriptomics
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