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:From viral drift to tumor drift: why cancer immunotherapy needs B cells and dynamic adaptation.
From viral drift to tumor drift: why cancer immunotherapy needs B cells and dynamic adaptation.
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当前以T细胞为基础的免疫疗法——CAR-T(CAR-T)细胞、免疫检查点抑制剂和新抗原疫苗——有一个共同弱点:它们靶向固定抗原,而肿瘤持续进化。与流感病毒相似,癌细胞会发生抗原漂移,重塑其表面抗原谱,使固定靶点疗法最终失效。基于近期概念验证研究,并以皮肤鳞状细胞癌小鼠模型为基础,我们提出一种范式转变:将癌症视为不断变化的靶标。该策略通过定期采集肿瘤细胞、免疫健康供者,再回输由此获得的富含抗体血清,产生能够动态匹配肿瘤演变抗原谱的多克隆抗体。
我们阐述了该策略所依据的三个相互关联原则:阈值原则(免疫控制在肿瘤负荷低于临界值时发挥作用)、漂移原则(抗原变化会使固定靶向失去效用)以及B细胞优势(健康供者能够产生免疫耐受宿主无法生成的抗体)。本文提出可直接检验这些原则的关键实验,并讨论其转化路径,包括现货型抗体库以及与T细胞疗法联合应用。本文主张借鉴感染病流行病学中的适应性策略,为肿瘤免疫治疗建立新框架,以B细胞应答、动态匹配和持续适应为核心。
Current T-cell-based immunotherapies-chimeric antigen receptor T (CAR-T) cells, checkpoint inhibitors, and neoantigen vaccines-share a fundamental vulnerability: they target fixed antigens while tumors continuously evolve. Like influenza viruses, cancer cells undergo antigenic drift, remodeling their surface antigen landscape and rendering static therapies eventually ineffective.
Drawing on our recent proof-of-concept study and establishing the foundation in a mouse model of cutaneous squamous cell carcinoma, we propose a paradigm shift: treat cancer as a moving target. By periodically harvesting tumor cells, immunizing healthy donors, and returning the resulting antibody-rich serum, this approach generates polyclonal antibodies that dynamically match the tumor's evolving antigenic profile.
We articulate three interconnected principles underlying this strategy: the threshold principle (immune control operates below a critical tumor burden), the drift principle (antigen change renders fixed targeting futile), and the B-cell advantage (healthy donors generate antibodies that tolerant hosts cannot).
We outline key experiments to test these principles directly and discuss translational paths, including off-the-shelf antibody banks and combination with T-cell therapies. This article argues that borrowing adaptive strategies from infectious disease epidemiology could establish a new framework for cancer immunotherapy-one built on B-cell responses, dynamic matching, and continuous adaptation.
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