← 返回前沿论文

利用 STAR-T 细胞文库对 TCR 样抗体进行功能性筛选用于癌症免疫治疗

英文原题:Functional screening of TCR-like antibodies using STAR-T cell library for cancer immunotherapy.

PubMed 2026/06/08(内容时间) EMBO Mol Med Q1 · IF 7.9(JCR 2025)

研究概要

E-A筛选平台将抗体发现直接与T细胞功能联系起来,为鉴定治疗性抗体,特别是用于基于T细胞的癌症免疫治疗的新抗原特异性纳米抗体,提供了一种稳健的方法。

中文摘要

工程化表达T细胞受体(TCR)或TCR样抗体的过继性T细胞疗法在癌症免疫治疗中显示出相当大的前景。然而,鉴定肿瘤抗原特异性TCR样抗体,特别是针对人类白细胞抗原呈递的新抗原的抗体,仍然具有挑战性。在此,我们提出了一种基于功能而非基于亲和力的抗体筛选平台,利用合成T细胞受体和抗原受体(STAR)-T细胞文库。我们发现STAR-T细胞中的抗原接合触发同步的受体内吞和T细胞活化,并将这些配对过程整合为用于抗体筛选的内吞-活化(E-A)功能读出。应用E-A功能筛选,我们快速鉴定了多个靶向细胞表面抗原CD22以及细胞内新抗原P53 R175H的纳米抗体。用这些纳米抗体工程化的STAR-T细胞在体外和体内均介导了强效的抗肿瘤疗效。此外,该平台产生了可直接重新格式化为其他治疗模式的纳米抗体,包括嵌合抗原受体和双特异性抗体,同时保持细胞毒性功能。总体而言,E-A筛选平台将抗体发现直接与T细胞功能联系起来,为鉴定治疗性抗体,特别是新抗原特异性纳米抗体,用于基于T细胞的癌症免疫治疗提供了稳健的方法。

展开英文摘要原文

Adoptive T-cell therapies engineered with T-cell receptors (TCRs) or TCR-like antibodies have shown considerable promise in cancer immunotherapy. However, identifying tumor antigen-specific TCR-like antibodies, particularly against human leukocyte antigen-presented neoantigens, remains challenging. Here, we present a function-based, rather than affinity-based, antibody screening platform utilizing Synthetic T-cell receptor and Antigen Receptor (STAR)-T cell libraries. We found that antigen engagement in STAR-T cells triggers synchronous receptor endocytosis and T-cell activation, and we integrated these paired processes into an Endocytosis-Activation (E-A) functional readout for antibody screening. Applying E-A functional screening, we rapidly identified multiple nanobodies targeting the cell-surface antigen CD22 as well as the intracellular neoantigen P53 R175H . STAR-T cells engineered with these nanobodies mediated potent anti-tumor efficacy both in vitro and in vivo. Furthermore, this platform yielded nanobodies that can be directly reformatted into other therapeutic modalities, including chimeric antigen receptors and bispecific antibodies, while maintaining cytotoxic function. Overall, the E-A screening platform links antibody discovery directly to T-cell function, providing a robust approach for identifying therapeutic antibodies, especially neoantigen-specific nanobodies, for T cell-based cancer immunotherapy.

论文信息

作者
Li Y、Huang D、Liu C、Zhou Z、Song Y、Yang D、Rui W、Yang Z
第一作者单位
School of Basic Medical Sciences, Tsinghua University, Beijing, 100084, China.China
通讯作者单位
School of Basic Medical Sciences, Tsinghua University, Beijing, 100084, China. linxin307@tsinghua.edu.cn.China
期刊
EMBO molecular medicine2026 Jul
原文标识
PubMed 42260138 · DOI 10.1038/s44321-026-00455-z