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Coexpression of c-Jun in multiple-chain DAP-CAR-engineered T-cells for solid tumor therapy

嵌合抗原受体 癌症研究 体内 间皮素 CD19 单链可变片段 淋巴瘤 抗原 T细胞 细胞疗法 体外 免疫学 医学 细胞 化学 生物 免疫系统 抗体 单克隆抗体 生物技术 生物化学
作者
Tongpeng Xu,Chen Wang,Xiaomei Chen,Jian Bai,Enxiu Wang,Ming Sun
出处
期刊:Immunotherapy [Future Medicine]
卷期号:14 (18): 1457-1466 被引量:2
标识
DOI:10.2217/imt-2022-0171
摘要

Aim: This work was designed to explore whether c-Jun overexpression could improve the persistence and antitumor efficacy of DAP chimeric antigen receptor T-cell (CAR-T) cells. Methods: The in vitro and in vivo antitumor effects of mesothelin (MSLN) targeting DAP-CAR-T cells were verified by ELISA, real-time cell analysis and in a xenograft model. Results:c-Jun overexpression did not affect DAP-CAR-T cell expansion while slightly increasing IL-2 secretion. Moreover, c-Jun did not improve the antitumor efficacy of DAP-CAR-T cells in vitro or in vivo, but reduced LAG3 expression and increased the ratio of Tcm and Tn/Tscm cells in vivo. Conclusion: The findings indicate that coexpression with c-Jun in DAP-CAR-T cells slightly improves T-cell exhaustion and central memory phenotype maintenance, which may be useful for DAP-CAR-T cell therapy in solid tumors.Chimeric antigen receptor (CAR) T-cell therapy has achieved great success in treating patients with hematological tumors such as b-acute lymphoblastic leukemia and lymphoma. However, a growing number of clinical trials show that most of the second-generation CAR-T cells with different targeting single-chain fragment variables (scFv) did not exhibit comparable therapeutic effects with CD19-targeting CAR-T cells in solid tumors. To overcome this challenge, scientists have developed several methods to optimize the structure of CARs, including coexpression of a transcription factor called c-Jun in CAR-T cells. The authors previously developed a novel multiple-chain DAP-CAR that shows promising solid tumor eradication capacity. In this study, overexpression of c-Jun only slightly improved the antitumor activity of DAP-CAR-T cells, suggesting other optimization methods are needed.
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