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.
CAR-T(CAR-T)细胞在血液系统恶性肿瘤中的应用推动了这种免疫治疗形式的显著进展。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Developing a membrane-proximal CD33-targeting CAR T cell.
Developing a membrane-proximal CD33-targeting CAR T cell.
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我们的结果首次表明,在靶向 CD33 的情形下,膜近端 CAR 优于膜远端 CAR,从而证明了使用高亲和力结合剂靶向膜近端表位的合理性。
CD33 是急性髓系白血病(AML)中适用于嵌合抗原受体(CAR)T 细胞治疗的靶点,但临床疗效尚不理想。
我们开发了新型 CD33 靶向 CAR-T 细胞 3P14HLh28Z,其基于 CD28/CD3ζ 信号结构,由人源化小鼠经膜近端片段免疫获得的高亲和力结合分子构建。
研究发现,在人源化小鼠中,仅用 CD33 膜近端结构域进行免疫,才可鉴定出膜近端结合分子。与靶向 CD33 远端表位、基于经临床验证的 lintuzumab 构建的 CAR-T 细胞相比,3P14HLh28Z 在体外功能更强,并在低抗原密度模型及具有临床相关性的患者来源异种移植模型中表现出更优的肿瘤控制效果和更长的总生存期。活化增强和多功能性提高带来了更强疗效。
本研究首次证明,在 CD33 靶向治疗中,膜近端 CAR 优于膜远端 CAR,支持采用高亲和力结合分子靶向膜近端表位。研究还表明,应在低抗原密度环境及临床相关患者来源模型中优化 CAR-T 细胞功能。
CD33 is a tractable target in acute myeloid leukemia (AML) for chimeric antigen receptor (CAR) T cell therapy, but clinical success is lacking.
We developed 3P14HLh28Z, a novel CD33-directed CD28/CD3Z-based CAR T cell derived from a high-affinity binder obtained through membrane-proximal fragment immunization in humanized mice.
We found that immunization exclusively with the membrane-proximal domain of CD33 is necessary for identification of membrane-proximal binders in humanized mice. Compared with clinically validated lintuzumab-based CAR T cells targeting distal CD33 epitopes, 3P14HLh28Z showed enhanced in vitro functionality as well as superior tumor control and increased overall survival in both low antigen density and clinically relevant patient-derived xenograft models. Increased activation and enhanced polyfunctionality led to enhanced efficacy.
Showing for the first time that a membrane-proximal CAR is superior to a membrane-distal one in the setting of CD33 targeting, our results demonstrate the rationale for targeting membrane-proximal epitopes with high-affinity binders. We also demonstrate the importance of optimizing CAR T cells for functionality in settings of both low antigen density and clinically relevant patient-derived models.
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