Seema Kantak, Raffaella Faggioni, Allen G Cai, Maryam M Bhatti, Jing Li, Inna Vainshtein, Jackie Cheng, Brian A Mendelsohn, Jacques Gaudreault, Thi-Sau Migone, Jan-Willem Theunissen
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引用次数: 0
Abstract
Tissue factor (TF) is overexpressed in various cancers, where its expression is generally associated with poor disease outcomes. XB002 is an anti-TF antibody-drug conjugate designed to deliver a cytotoxic payload to TF-expressing tumors while minimizing adverse events related to disruption of TF function, notably bleeding. XB002 is composed of a zovodotin linker-payload conjugated to a monoclonal antibody (clone 25A3) that binds to TF with high affinity (KD = 0.86 nM). In vitro coagulation studies indicated that 25A3 did not interfere with the clotting cascade; at a 100 nM concentration, 25A3 had no effect on activation of coagulation factor X or thrombin generation. XB002 was internalized in TF-expressing cancer cell lines and displayed potent cytotoxic activity at sub-nanomolar concentrations. When evaluated in the HPAF-II xenograft model, XB002 (1.5 mg/kg, IV) given once weekly for 2 weeks induced complete regression with no tumor growth even at 5 weeks after the second dose. In murine patient-derived xenograft models, a single dose of XB002 (10 mg/kg, IV) inhibited tumor growth across multiple cancer models including bladder, cervical, gastric, head and neck squamous cell carcinoma (HNSCC), and non-small cell lung cancer. Further, complete tumor regression was observed in both the cervical and HNSCC models by 30 days post-treatment. In non-human primate models, XB002 showed exposure in the desired range and no evidence of bleeding or neutropenia. Taken together, these data demonstrate potential anti-tumor activity across a spectrum of oncology indications and strongly support its clinical development.
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.