Qingsong Guo, Bei Gao, Ruiwen Song, Weinan Li, Shulei Zhu, Qian Xie, Sensen Lou, Lei Wang, Jiafei Shen, Teng Zhao, Yifan Zhang, Jinsong Wu, Wei Lu, Tong Yang
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引用次数: 0
Abstract
Delta-like ligand 3 (DLL3) is overexpressed in small cell lung cancer (SCLC) and has been considered an attractive target for SCLC therapy. Rovalpituzumab tesirine was the first DLL3-targeted antibody-drug conjugate (ADC) to enter clinical studies. However, serious adverse events limited progress in the treatment of SCLC with rovalpituzumab tesirine. In this study, we developed a novel DLL3-targeted ADC, FZ-AD005, by using DXd with potent cytotoxicity and a relatively better safety profile to maximize the therapeutic index. FZ-AD005 was generated by a novel anti-DLL3 antibody, FZ-A038, and a valine-alanine (Val-Ala) dipeptide linker to conjugate DXd. Moreover, Fc-silencing technology was introduced in FZ-AD005 to avoid off-target toxicity mediated by FcγRs and showed negligible Fc-mediated effector functions in vitro. In preclinical evaluation, FZ-AD005 exhibited DLL3-specific binding and demonstrated efficient internalization, bystander killing, and excellent in vivo antitumor activities in cell line-derived xenograft and patient-derived xenograft models. FZ-AD005 was stable in circulation with acceptable pharmacokinetic profiles in cynomolgus monkeys. FZ-AD005 was well tolerated in rats and monkeys. The safety profile of FZ-AD005 was favorable, and the highest nonseverely toxic dose was 30 mg/kg in cynomolgus monkeys. In conclusion, FZ-AD005 has the potential to be a superior DLL3-targeted ADC with a wide therapeutic window and is expected to provide clinical benefits for the treatment of patients with SCLC.
期刊介绍:
Molecular Cancer Therapeutics will focus on basic research that has implications for cancer therapeutics in the following areas: Experimental Cancer Therapeutics, Identification of Molecular Targets, Targets for Chemoprevention, New Models, Cancer Chemistry and Drug Discovery, Molecular and Cellular Pharmacology, Molecular Classification of Tumors, and Bioinformatics and Computational Molecular Biology. The journal provides a publication forum for these emerging disciplines that is focused specifically on cancer research. Papers are stringently reviewed and only those that report results of novel, timely, and significant research and meet high standards of scientific merit will be accepted for publication.