Nature Communications (Jan 2024)

Macro CD5L+ deteriorates CD8+T cells exhaustion and impairs combination of Gemcitabine-Oxaliplatin-Lenvatinib-anti-PD1 therapy in intrahepatic cholangiocarcinoma

  • Jia-Cheng Lu,
  • Lei-Lei Wu,
  • Yi-Ning Sun,
  • Xiao-Yong Huang,
  • Chao Gao,
  • Xiao-Jun Guo,
  • Hai-Ying Zeng,
  • Xu-Dong Qu,
  • Yi Chen,
  • Dong Wu,
  • Yan-Zi Pei,
  • Xian-Long Meng,
  • Yi-Min Zheng,
  • Chen Liang,
  • Peng-Fei Zhang,
  • Jia-Bin Cai,
  • Zhen-Bin Ding,
  • Guo-Huan Yang,
  • Ning Ren,
  • Cheng Huang,
  • Xiao-Ying Wang,
  • Qiang Gao,
  • Qi-Man Sun,
  • Ying-Hong Shi,
  • Shuang-Jian Qiu,
  • Ai-Wu Ke,
  • Guo-Ming Shi,
  • Jian Zhou,
  • Yi-Di Sun,
  • Jia Fan

DOI
https://doi.org/10.1038/s41467-024-44795-1
Journal volume & issue
Vol. 15, no. 1
pp. 1 – 23

Abstract

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Abstract Intratumoral immune status influences tumor therapeutic response, but it remains largely unclear how the status determines therapies for patients with intrahepatic cholangiocarcinoma. Here, we examine the single-cell transcriptional and TCR profiles of 18 tumor tissues pre- and post- therapy of gemcitabine plus oxaliplatin, in combination with lenvatinib and anti-PD1 antibody for intrahepatic cholangiocarcinoma. We find that high CD8 GZMB+ and CD8 proliferating proportions and a low Macro CD5L+ proportion predict good response to the therapy. In patients with a poor response, the CD8 GZMB+ and CD8 proliferating proportions are increased, but the CD8 GZMK+ proportion is decreased after the therapy. Transition of CD8 proliferating and CD8 GZMB+ to CD8 GZMK+ facilitates good response to the therapy, while Macro CD5L+–CD8 GZMB+ crosstalk impairs the response by increasing CTLA4 in CD8 GZMB+. Anti-CTLA4 antibody reverses resistance of the therapy in intrahepatic cholangiocarcinoma. Our data provide a resource for predicting response of the combination therapy and highlight the importance of CD8+T-cell status conversion and exhaustion induced by Macro CD5L+ in influencing the response, suggesting future avenues for cancer treatment optimization.