Signal Transduction and Targeted Therapy (Sep 2023)

Dynamic single-cell mapping unveils Epstein‒Barr virus-imprinted T-cell exhaustion and on-treatment response

  • Miao-Zhen Qiu,
  • Chaoye Wang,
  • Zhiying Wu,
  • Qi Zhao,
  • Zhibin Zhao,
  • Chun-Yu Huang,
  • Wenwei Wu,
  • Li-Qiong Yang,
  • Zhi-Wei Zhou,
  • Yu Zheng,
  • Hong-Ming Pan,
  • Zexian Liu,
  • Zhao-Lei Zeng,
  • Hui-Yan Luo,
  • Feng Wang,
  • Feng-Hua Wang,
  • Si-Yu Yang,
  • Meng-Xing Huang,
  • Zhexiong Lian,
  • Haiyan Zhang,
  • Rui-Hua Xu

DOI
https://doi.org/10.1038/s41392-023-01622-1
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 13

Abstract

Read online

Abstract Epstein‒Barr virus (EBV)-associated gastric cancer (GC) manifests an intriguing immunotherapy response. However, the cellular basis for EBV-imprinted tumour immunity and on-treatment response remains undefined. This study aimed to finely characterize the dynamic tumour immune contexture of human EBV (+) GC treated with immunochemotherapy by longitudinal scRNA-seq and paired scTCR/BCR-seq. EBV (+) GC exhibits an inflamed-immune phenotype with increased T-cell and B-cell infiltration. Immunochemotherapy triggers clonal revival and reinvigoration of effector T cells which step to determine treatment response. Typically, an antigen-specific ISG-15+CD8+ T-cell population is highly enriched in EBV (+) GC patients, which represents a transitory exhaustion state. Importantly, baseline intratumoural ISG-15+CD8+ T cells predict immunotherapy responsiveness among GC patients. Re-emerged clonotypes of pre-existing ISG-15+CD8+ T cells could be found after treatment, which gives rise to a CXCL13-expressing effector population in responsive EBV (+) tumours. However, LAG-3 retention may render the ISG-15+CD8+ T cells into a terminal exhaustion state in non-responsive EBV (+) tumours. In accordance, anti-LAG-3 therapy could effectively reduce tumour burden in refractory EBV (+) GC patients. Our results delineate a distinct implication of EBV-imprinted on-treatment T-cell immunity in GC, which could be leveraged to optimize the rational design of precision immunotherapy.