Landscape of T-cell exhaustion heterogeneity and HBV integration in virus-related HCC revealed by whole-exome, transcriptome, and single-cell sequencing
Soon Kyu Lee, Jinyeong Lim, Joo Yeon Jhun, Jeonghyeon Moon, Hye Seon Kim, Jong Young Choi, Ho Joong Choi, Young Kyoung You, Ji Won Han, Pil Soo Sung, Kwon Yong Tak, Seung Kew Yoon, Park Woong‐Yang, Mi‐La Cho, Jeong Won Jang
Abstract
Background & Aims: To enhance our understanding of the tumor immune microenvironment (TIME) in hepatocellular carcinoma (HCC), we investigated the heterogeneity of T-cell exhaustion and its association with HBV integrations and direct oncogenic potential in HCC. Methods: We conducted a multi-omics analysis, including single-cell RNA sequencing, whole-exome sequencing, whole-transcriptome sequencing, and next-generation sequencing (NGS)-based HBV integration analysis, in eight patients with virus-related HCC. For validation, bulk RNA sequencing and NGS-based HBV integration analysis were performed in an independent cohort (n = 106). Results: <0.05) compared with the low-exhaustion group (n = 78). Conclusions: Our study revealed the heterogeneity in T-cell exhaustion in the TIME of HCC, along with differences in HBV integrations and molecular subtypes. These findings provide insight into the intricate relationship between high exhaustion, proliferation subtype, increased HBV integrations, and enhanced HBV-induced oncogenic potential in virus-related HCC. Impact and implications: This study provides a comprehensive immune landscape of T-cell exhaustion using multi-omics analysis, offering critical insights into T cell heterogeneity in virus-related HCC. It establishes a strong association between higher HBV integration, enhanced oncogenic potential, T-cell exhaustion, and proliferation subtypes in HCC. Our results also establish a basis for personalized therapies tailored to the immune-exhaustion status within the TIME of each patient with HCC.