Boosting(机器学习)
实体瘤
细胞毒性
临床试验
毒性
靶向治疗
医学
癌症研究
生物信息学
内科学
生物
癌症
计算机科学
体外
生物化学
机器学习
作者
Jiahao Liu,Xiaofei Jiao,Ding Ma,Yong Fang,Qinglei Gao
出处
期刊:Med
[Elsevier]
日期:2024-03-01
被引量:3
标识
DOI:10.1016/j.medj.2024.03.001
摘要
CAR-T cell therapies hold great potential in achieving long-term remission in patients suffering from malignancies. However, their efficacy in treating solid tumors is impeded by challenges such as limited infiltration, compromised cancer recognition, decreased cytotoxicity, heightened exhaustion, absence of memory phenotypes, and inevitable toxicity. To surmount these obstacles, researchers are exploring innovative strategies, including the integration of CAR-T cells with targeted inhibitors. The combination of CAR-T therapies with specific targeted drugs has shown promise in enhancing CAR-T cell infiltration into tumor sites, boosting their tumor recognition capabilities, strengthening their cytotoxicity, alleviating exhaustion, promoting the development of a memory phenotype, and reducing toxicity. By harnessing the synergistic potential, a wider range of patients with solid tumors may potentially experience favorable outcomes. To summarize the current combined strategies of CAR-T therapies and targeted therapies, outline the potential mechanisms, and provide insights for future studies, we conducted this review by collecting existing experimental and clinical evidence.
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