Abstract Purpose: This study aimed to develop and characterize a novel biparatopic T-cell engager (TCE) targeting DLL3 for the treatment of small cell lung cancer (SCLC) and other neuroendocrine carcinomas (NECs). Methods: Using an AI-engineered multispecific antibody platform, we engineered a biparatopic DLL3/CD3 TCE to bind two distinct epitopes on DLL3 while engaging CD3 on T cells. Binding affinities were systematically optimized to enhance tumor targeting and minimize off-T cell activation. The molecule was evaluated in vitro activity for T cell-dependent cytotoxicity, T cell activation, and cytokine release and in vivo efficacy using human SCLC cell lines-derived xenograft models. Safety was assessed in transgenic mice and cynomolgus monkeys. Results: The biparatopic DLL3/CD3 TCE demonstrated potent and specific cytotoxicity against DLL3-expressing cell lines, while limiting T cell activation and cytokine release. In murine models, it achieved significant tumor growth inhibition at lower doses than a benchmark TCE (tarlatamab analog). The molecule exhibited good tolerability at doses up to 30 mpk in transgenic mice and 10 mpk (administered via step-dosing) in monkeys, without significant adverse effects. Conclusion: The biparatopic DLL3/CD3 TCE exhibits robust preclinical efficacy and a favorable safety profile, supporting its further development as a targeted immunotherapy for DLL3-positive SCLC and NECs. Citation Format: Chuan Chen, Yue Wu, Chenpeng Su, Dandan Liu, Jiyuan Tian, Yujuan Li, Yongxin Shang, Xiaoqian Chen, Rongmei Yan, Liang Tian, Jian Peng, Zhenping Zhu, . A novel AI-engineered biparatopic DLL3/CD3 T cell engager demonstrates potent preclinical efficacy and a promising safety profile abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5406.
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Chuan Chen
Yue Wu
Chenpeng Su
Cancer Research
Wilmington University
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Chen et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69d1fd13a79560c99a0a2f2a — DOI: https://doi.org/10.1158/1538-7445.am2026-5406