CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:CAR-T cells in solid tumors: engineering, biomarkers, translational pathways and the road ahead.
CAR-T cells in solid tumors: engineering, biomarkers, translational pathways and the road ahead.
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嵌合抗原受体(CAR)T细胞疗法通过实现抗原特异性肿瘤靶向和持久的临床应答,改变了血液系统恶性肿瘤的治疗格局。然而,其向实体瘤的转化受到基本生物学屏障的限制,包括抗原异质性、肿瘤浸润不良以及肿瘤微环境中深刻的免疫抑制和代谢约束。这些因素共同驱动CAR-T 细胞功能障碍、耗竭和持久性有限,导致临床疗效有限且不一致。本综述以概念驱动的方式综合了CAR-T 细胞疗法治疗实体瘤的最新进展,特别关注整合肿瘤生物学、空间背景和细胞代谢的系统级工程策略。
我们重点介绍了新兴方法,如体内CAR编程、逻辑门控和多抗原受体设计,以及经过工程改造以抵抗免疫抑制和代谢应激的装甲CAR-T 细胞。
重要的是,本综述超越了描述性工程进展,强调了计算建模、人工智能和空间多组学在指导抗原选择、CAR回路设计和治疗反应预测性评估中日益增长的作用。与主要总结抗原靶点或CAR工程策略的既往综述不同,本综述将实体瘤中的生物学屏障与新兴工程解决方案相结合,为下一代CAR-T 疗法的开发和临床转化提供概念框架。通过将失败的生物学决定因素与合理的工程解决方案相整合,本综述描绘了将机制洞察与临床实施联系起来的转化路径。本综述通过将实体瘤的CAR-T 疗法构建为系统工程挑战而非单靶点优化问题,推动了该领域的发展。通过整合免疫学、生物工程、计算科学和空间生物学,我们勾勒出开发更安全、更持久且具有情境感知能力的CAR-T 疗法的路线图。持续进展将取决于肿瘤特异性抗原的发现、跨学科合作以及可扩展的生产和监管框架,共同促成下一代有效的实体瘤CAR-T 疗法。
Chimeric antigen receptor (CAR) T-cell therapy has transformed the treatment of hematologic malignancies by enabling antigen-specific tumor targeting and durable clinical responses.
However, its translation to solid tumors has been limited by fundamental biological barriers, including antigen heterogeneity, poor tumor infiltration, and profound immunosuppressive and metabolic constraints within the tumor microenvironment.
These factors collectively drive CAR-T cell dysfunction, exhaustion, and limited persistence, resulting in modest and inconsistent clinical efficacy. This review provides a concept-driven synthesis of recent advances in CAR-T cell therapy for solid tumors, with a specific focus on systems-level engineering strategies that integrate tumor biology, spatial context, and cellular metabolism.
We highlight emerging approaches such as in vivo CAR programming, logic-gated and multi-antigen receptor designs, and armored CAR-T cells engineered to resist immunosuppression and metabolic stress.
Importantly, this review goes beyond descriptive engineering advances by emphasizing the growing role of computational modeling, artificial intelligence, and spatial multi-omics in guiding antigen selection, CAR circuit design, and predictive assessment of therapeutic responses. Unlike prior reviews that primarily summarize antigen targets or CAR engineering strategies, this review integrates biological barriers in solid tumors with emerging engineering solutions to provide a conceptual framework for the development and clinical translation of next-generation CAR-T therapies. By integrating biological determinants of failure with rational engineering solutions, the review delineates translational pathways that link mechanistic insight to clinical implementation.
This review advances the field by framing CAR-T therapy for solid tumors as a systems engineering challenge rather than a single-target optimization problem. By integrating immunology, bioengineering, computational sciences, and spatial biology, we outline a roadmap for the development of safer, more durable, and context-aware CAR-T therapies.
Continued progress will depend on tumor-specific antigen discovery, interdisciplinary collaboration, and scalable manufacturing and regulatory frameworks, collectively enabling the next generation of effective CAR-T therapies for solid tumors.
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