PO.IM01.08 · 免疫学

机械动力学原理驱动的高特异性和高灵敏度下一代TCR的理性设计

Mechano-dynamic-principle-driven rational design of next-generation TCRs with high specificity and sensitivity

海报缩略图:机械动力学原理驱动的高特异性和高灵敏度下一代TCR的理性设计
编号 5609 展板 1 时间 4/21 02:00–05:00 区域 Section 9 主讲 Wei Hu
分会场 TCR and Autologous T Cell Therapies
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作者与单位 Authors & Affiliations

Yushen Du1, Wei Hu1, Luying Liu2, Suqiong Wang2, Wei Chen1

1Zhejiang University, Hangzhou, China,2Hangzhou Mechanodynamic Biotechnology Co., Ltd, Hangzhou, China

摘要 Abstract

中文摘要
背景:自然进化的T细胞受体(TCR)通过一个柔性结合界面实现非凡的抗原特异性,该界面与同源肽-MHC(pMHC)复合物形成力稳定的catch bond(捕获键)。这一关键的机械调控特征在传统高亲和力工程化TCR中往往丧失,其刚性界面反而可能导致与自身抗原的交叉反应和脱靶毒性,这是安全的基于TCR的免疫疗法的一大障碍。 目的:在我们此前阐明这一机械调控机制的基础上,我们旨在建立一个新型工程化平台,用于设计下一代TCR——包括TCR模拟物、TCR工程化细胞(TCR-T)和T细胞衔接器(TCE)——以增强特异性和灵敏度,并以KRAS-G12D新抗原(由HLA-A*11:01呈递)作为概念验证。 方法:在初步筛选之后,选择表现最佳的TCR克隆进行全面表征。我们评估了它们的生物物理结合和体外功能(单分子力谱、动力学-功能作图、连续肿瘤杀伤、记忆表型分化)、体内抗肿瘤疗效(KRAS-G12D细胞来源异种移植模型)以及安全性特征(全蛋白质组交叉反应筛选)。 结果:与传统高亲和力TCR相比,机械优化的TCR在体外表现出约40倍更高的抗原灵敏度,且对野生型(WT) KRAS无可检测的交叉反应;用这些优化TCR工程化的TCR-T细胞表现出更优的连续肿瘤杀伤、耗竭减少(PD-1表达较对照低37%)以及向长寿命记忆表型的分化增强(CD62L⁺CD44⁺细胞高2.2倍);在KRAS-G12D CDX模型中,机械优化的TCR-T细胞实现了强健的肿瘤清除(第21天平均肿瘤体积缩小82%,对照为41%),并显示出更具浸润性、耗竭程度更低的T细胞表型;全蛋白质组交叉反应筛选证实了卓越的特异性,对10,000+种人类蛋白无脱靶结合。 结论:我们的研究建立了一个机械原理驱动的理性TCR工程化范式。通过将对TCR-pMHC力学的基本洞见转化为实用的设计框架,我们生成了下一代TCR——包括TCE、TCR模拟物和TCR-T细胞——具有前所未有的特异性、灵敏度和效力。该平台为实体瘤和白血病提供了一条通向更安全、更有效免疫疗法的有前景途径。我们的先导TCR-T候选药物目前正在推进IND申报支持性研究,同时开展一项互补的体内TCR工程化项目,旨在拓展这一机械原理方法的治疗覆盖范围。
查看英文原文 English abstract
Background: Naturally evolved T-cell receptors (TCRs) achieve extraordinary antigen specificity through a flexible binding interface that forms force-stabilized catch bonds with cognate peptide-MHC (pMHC) complexes. This critical mechano-regulatory feature is often lost in conventional high-affinity engineered TCRs, whose rigid interfaces can paradoxically cause cross-reactivity with self-antigens and off-target toxicity, a major barrier to safe TCR-based immunotherapies. Purpose: Building on our prior elucidation of this mechano-regulation mechanism, we aimed to establish a novel engineering platform for designing next-generation TCRs-including TCR mimics, TCR-engineered cells (TCR-T), and T cell engagers (TCEs)-with enhanced specificity and sensitivity, using the KRAS-G12D neoantigen (presented by HLA-A*11:01) as a proof of concept. Methods: Following an initial screen, top-performing TCR clones were selected for comprehensive characterization. We evaluated their biophysical binding and in vitro function (single-molecule force spectroscopy, kinetic-functional mapping, serial tumor killing, memory phenotype differentiation), in vivo anti-tumor efficacy (KRAS-G12D cell-derived xenograft models), and safety profile (whole-proteome cross-reactivity screening). Results: Mechano-optimized TCRs exhibited ~40-fold higher antigen sensitivity in vitro compared to conventional high-affinity TCRs, with no detectable cross-reactivity to wild-type (WT) KRAS; TCR-T cells engineered with these optimized TCRs showed superior serial tumor killing, reduced exhaustion (37% lower PD-1 expression vs. controls), and enhanced differentiation into long-lived memory phenotypes (2.2-fold higher CD62L⁺CD44⁺ cells); In KRAS-G12D CDX models, mechano-optimized TCR-T cells achieved robust tumor clearance (mean tumor volume reduction of 82% vs. 41% in controls at day 21) and displayed a more infiltrative, less exhausted T-cell phenotype; Whole-proteome cross-reactivity screening confirmed exceptional specificity, with no off-target binding to 10,000+ human proteins. Conclusions: Our study establishes a mechano-principle-driven paradigm for rational TCR engineering. By translating fundamental insights into TCR-pMHC mechanics into a practical design framework, we generated next-generation TCRs -including TCEs, TCR mimics, and TCR-T cells -with unprecedented specificity, sensitivity, and potency. This platform offers a promising route toward safer and more effective immunotherapies for solid tumors and leukemia. Our lead TCR-T candidate is currently advancing into IND-enabling studies, alongside a complementary in vivo TCR engineering program aimed at expanding the therapeutic reach of this mechano-principled approach.
利益披露 Disclosure
Y. Du, None.. W. Hu, None.. L. Liu, None.. S. Wang, None.. W. Chen, None.

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