癌症研究
封锁
免疫疗法
免疫检查点
免疫系统
造血
黑色素瘤
T细胞
免疫学
嵌合抗原受体
生物
癌症免疫疗法
抗原
炎症
癌症
细胞毒性T细胞
细胞
医学
CTLA-4号机组
克隆(Java方法)
突变
Jurkat细胞
抗原提呈细胞
受体
作者
Vincent Rondeau,Suraj Bansal,Marco M. Buttigieg,Andy G. X. Zeng,Darryl Y. Chan,Michelle Chan-Seng-Yue,Liqing Jin,Jessica McLeod,Meghan Kates,Elisa Donato,Patrick Stelmach,Caitlyn Vlasschaert,Yi-Tong Yang,Aarushi Gupta,Sofia Genta,Enrique Sanz Garcia,Liran Shlush,Mauricio Ribeiro,Marcus O Butler,Sagi Abelson
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2025-11-11
标识
DOI:10.1158/0008-5472.can-24-3329
摘要
Abstract Somatic mutations inactivating TET2 are among the most common drivers of clonal hematopoiesis (CH). TET2 inactivation is associated with monocyte-derived inflammation and improved chimeric antigen receptor T cell function, suggesting it might also impact immunotherapy response. Here, we found that hematopoietic Tet2 mutation in mouse models enhanced the immune checkpoint blockade (ICB) response, which required the combined presence of phagocytes, CD4+, and CD8+ T cells. The effect was lost with myeloid- or T-cell restricted Tet2 inactivation or in mice with 20% Tet2-mutant hematopoiesis. Mechanistically, in Tet2-mutant tumor-infiltrating leukocytes (TILs), ICB preferentially restricted cell states linked to tumor progression while inducing anti-tumor states. Tet2-mutant monocytes activated costimulatory programs, while Tet2-mutant T cells showed enhanced T cell memory signatures, alongside decreased exhaustion and regulatory phenotypes. Clinically, tumors from colorectal cancer and melanoma patients with TET2 driver mutation-CH (TET2-CH) showed enhanced immune infiltration, inflammation, and T cell activation. In melanoma patients treated with ICB, TET2-CH was associated with 6-fold greater odds of clinical benefit. Collectively, this work demonstrates that hematopoietic TET2 inactivation primes leukocytes for anti-tumor states associated with immunotherapy response and provides a potential biomarker for personalized therapy.
科研通智能强力驱动
Strongly Powered by AbleSci AI