缺氧(环境)
嵌合抗原受体
肿瘤微环境
癌症研究
重编程
细胞
细胞生长
下调和上调
细胞毒性T细胞
化学
细胞生物学
生物
免疫学
T细胞
肿瘤细胞
免疫系统
体外
氧气
生物化学
有机化学
基因
作者
Xiuxiu Zhu,Jun Chen,Wuling Li,Yanmin Xu,Juanjuan Shan,Juan Hong,Yongchun Zhao,Huailong Xu,Jiabin Ma,Junjie Shen,Cheng Qian
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2023-10-24
卷期号:84 (1): 84-100
被引量:4
标识
DOI:10.1158/0008-5472.can-23-1038
摘要
Abstract Expanding the utility of chimeric antigen receptor (CAR)-T cells in solid tumors requires improving their efficacy and safety. Hypoxia is a feature of most solid tumors that could be used to help CAR-T cells discriminate tumors from normal tissues. In this study, we developed hypoxia-responsive CAR-T cells by engineering the CAR to be under regulation of hypoxia-responsive elements and selected the optimal structure (5H1P-CEA CAR), which can be activated in the tumor hypoxic microenvironment to induce CAR-T cells with high polyfunctionality. Hypoxia-responsive CAR T cells were in a “resting” state with low CAR expression under normoxic conditions. Compared with conventional CAR-T cells, hypoxia-responsive CAR-T cells maintained lower differentiation and displayed enhanced oxidative metabolism and proliferation during cultivation, and they sowed a capacity to alleviate the negative effects of hypoxia on T-cell proliferation and metabolism. Furthermore, 5H1P-CEA CAR-T cells exhibited decreased T-cell exhaustion and improved T-cell phenotype in vivo. In patient-derived xenograft models, hypoxia-responsive CAR-T cells induced more durable antitumor activity than their conventional counterparts. Overall, this study provides an approach to limit CAR expression to the hypoxic tumor microenvironment that could help to enhance CAR T-cell efficacy and safety in solid tumors. Significance: Engineering CAR-T cells to upregulate CAR expression under hypoxic conditions induces metabolic reprogramming, reduces differentiation, and increases proliferation to enhance their antitumor activity, providing a strategy to improve efficacy and safety.
科研通智能强力驱动
Strongly Powered by AbleSci AI