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生物工程化免疫活性临床前芯片试验工具使 CAR-T 细胞治疗白血病的筛选成为可能

英文原题:Bioengineered immunocompetent preclinical trial-on-chip tool enables screening of CAR T cell therapy for leukaemia.

查看英文原题

Bioengineered immunocompetent preclinical trial-on-chip tool enables screening of CAR T cell therapy for leukaemia.

PubMed 2025/07/01(内容时间) Nat Biomed Eng Q1 · IF 26.3(JCR 2025)

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中文摘要

嵌合抗原受体(CAR)T细胞免疫疗法在血液癌症治疗中具有前景;然而,临床获益仍不可预测,因此需要开发最优的CAR-T 细胞产品。遗憾的是,当前的临床前评估平台由于与人类的生理相关性有限而不足。

在此,我们构建了一种器官型免疫活性芯片,该芯片再现了人类白血病骨髓基质和免疫微环境的微结构及病理生理特征,用于CAR-T 细胞治疗建模。该白血病芯片能够实时时空监测CAR-T 细胞功能,包括T细胞外渗、白血病识别、免疫激活、细胞毒性和杀伤作用。

我们利用该芯片模拟了CAR-T 细胞治疗下临床观察到的异质性反应,如缓解、耐药和复发,并绘制了驱动治疗成功或失败的因素。

最后,我们系统且多维度地界定了来自不同健康供者和癌症患者、采用各种CAR设计和方案生产的CAR-T 细胞的功能表现。总之,我们的芯片为CAR-T 细胞开发引入了一种使能性的“芯片上(临床前)临床试验”工具,这可能转化为个性化疗法并改善临床决策。

展开英文摘要原文

Chimeric antigen receptor (CAR) T cell immunotherapy is promising for treatment of blood cancers; however, clinical benefits remain unpredictable, necessitating development of optimal CAR T cell products. Unfortunately, current preclinical evaluation platforms are inadequate owing to their limited physiological relevance to humans.

Here we engineer an organotypic immunocompetent chip that recapitulates microarchitectural and pathophysiological characteristics of human leukaemia bone marrow stromal and immune niches for CAR T cell therapy modelling. This leukaemia chip empowers real-time spatiotemporal monitoring of CAR T cell functionality, including T cell extravasation, recognition of leukaemia, immune activation, cytotoxicity and killing.

We use our chip to model clinically observed heterogeneous responses such as remission, resistance and relapse under CAR T cell therapy and map factors that drive therapeutic success or failure.

Finally, we demarcate functional performance of CAR T cells produced from different healthy donors and patients with cancer, with various CAR designs and protocols, systematically and multidimensionally.

Together, our chip introduces an enabling '(pre-)clinical-trial-on-chip' tool for CAR T cell development, which may translate to personalized therapies and improved clinical decision-making.

论文信息

作者
Ma C、Wang H、Liu L、Chen R、Mukherjee N、Tong J、Kazmi S、Fang X
第一作者单位
Department of Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, USA.United States
通讯作者单位
Department of Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, USA. wchen@nyu.edu.United States
期刊
Nature biomedical engineering2025 Dec
原文标识
PubMed 40595437 · DOI 10.1038/s41551-025-01428-2