PO.BCS01.15 · 生物信息与计算
单细胞多组学分析揭示肝细胞癌免疫治疗耐药背后的细胞类型特异性遗传调控程序
Single-cell multiomics analysis reveals cell type-specific genetic regulatory programs underlying immunotherapy resistance in hepatocellular carcinoma
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
尽管随着基于免疫检查点抑制剂(ICI)疗法的出现,晚期肝细胞癌(HCC)患者的预后有所改善,但只有约30%的患者获得客观缓解。随着单细胞技术的快速发展,人们从转录组角度对肿瘤微环境(TME)中的免疫抑制性细胞类型日益关注;然而,遗传变异对免疫治疗耐药的贡献在很大程度上仍未被探索。在此,我们对14例未经治疗且ICI耐药的HCC患者进行了单细胞多组学分析,以研究HCC TME中染色质可及性和基因表达背后的细胞类型特异性遗传调控。我们为155,700个细胞生成了高质量的单细胞ATAC-seq数据,并将其注释为11种主要细胞类型,包括B细胞、CAF、CD4⁺ T细胞、CD8⁺ T细胞、树突状细胞、内皮细胞、巨噬细胞、单核细胞、NK细胞、Treg和肿瘤细胞。利用从单细胞ATAC-seq推断的基因型信息,RASQUAL系统性地在所有细胞类型中定位了23,329个染色质可及性相关数量性状位点(caQTL)。我们发现不同细胞类型中经细胞数目标准化的caQTL数量范围较广(0.01至0.22)。值得注意的是,肿瘤细胞表现出最高频率的caQTL,提示其调控图景中存在更大的遗传易感性。与肝癌相关GWAS信号的共定位分析,结合峰-基因关联分析,鉴定出可能调节参与肿瘤进展和免疫治疗耐药的基因的增强子样调控元件。总之,我们的研究刻画了HCC TME的细胞类型特异性遗传控制和调控架构,并为免疫治疗耐药的分子基础提供了机制性见解。
致谢:本研究由李嘉诚基金会和香港中文大学协作研究计划战略种子基金资助。
查看英文原文 English 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.
利益披露 Disclosure
S. Huang, None..
X. Long, None..
S. L. Chan, None..
A. S. Cheng, None.