Ma Chao, Wang Huishu, Liu Lunan, Chen Ruiqi, Mukherjee Nandana, Tong Jie, Kazmi Shadab, Fang Xiangyi, Witkowski Matthew T, Aifantis Iannis, Ghassemi Saba, Chen Weiqiang
Department of Mechanical and Aerospace Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, USA.
Department of Biomedical Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, USA.
Nat Biomed Eng. 2025 Jul 1. doi: 10.1038/s41551-025-01428-2.
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.
嵌合抗原受体(CAR)T细胞免疫疗法在治疗血癌方面前景广阔;然而,临床疗效仍难以预测,因此需要开发最佳的CAR T细胞产品。不幸的是,目前的临床前评估平台由于与人类生理相关性有限而存在不足。在此,我们构建了一种器官型免疫活性芯片,该芯片概括了人类白血病骨髓基质和免疫微环境的微观结构和病理生理特征,用于CAR T细胞治疗建模。这种白血病芯片能够对CAR T细胞功能进行实时时空监测,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。我们利用该芯片对CAR T细胞治疗下临床上观察到的异质性反应(如缓解、耐药和复发)进行建模,并找出驱动治疗成功或失败的因素。最后,我们系统地、多维度地划分了由不同健康供体和癌症患者产生的CAR T细胞的功能表现,这些细胞采用了各种CAR设计和方案。总之,我们的芯片为CAR T细胞开发引入了一种“(临床前)芯片上的临床试验”工具,这可能会转化为个性化治疗并改善临床决策。