Abstract

Abstract Introduction: M1231 is a first-in-class bispecific antibody drug conjugate (ADC) targeting mucin-1 (MUC1) and epidermal growth factor receptor (EGFR), that is conjugated with a novel hemiasterlin-related microtubule inhibitor payload. Following dose, M1231 binds to EGFR and co-binds to tumor-associated hypoglycosylated MUC1, internalizes into the tumor cell and traffics to lysosomes where the payload is enzymatically released to affect cell viability. Methods: A Multi-scale Systems Pharmacology model was developed to account for the ADC’s disposition and interactions with the underlying physiologic system, resulting in intracellular payload release in tumor cells to drive tumor growth inhibition (TGI). An in vitro model quantified ADC internalization and lysosomal trafficking in the MUC1 and EGFR-expressing cancer cell lines MDA-MB-468 and OVCAR-3. TGI was assessed in mice bearing MUC1-tumors from the squamous NSCLC patient-derived xenograft model, LUX003. Pharmacokinetics in cynomolgus monkeys was modeled using a Target Mediated Drug Disposition model and was allometrically scaled to humans. Data Summary: All preclinical modeling results were integrated and scaled to simulate plasma M1231 concentrations to predict the human dose and corresponding exposures. Tumor stasis was estimated to begin at a dose of 2.4 mg/kg every 3 weeks (Q3W) with a maximum tumor regression achieved at a dose of 4.3 mg/kg Q3W. Conclusions: The quantitative systems pharmacology model-based efficacious dose prediction range of 2.4 mg/kg to 4.3 mg/kg dosed Q3W informed the design of the ongoing M1231 first-in-human trial (NCT04695847). Citation Format: Anup Zutshi, Berend Neuteboom, Seema Kumar, Willem Sloot, Christine Knuehl, Julia Dotterweich, Jianguo Ma, Christiane Amendt, Karthik Venkatakrishnan, Taeshin Park, John Pappas, Kyoung-Ae Kim. Translational PK/PD/efficacy modeling and efficacious human dose prediction for a first-in-class MUC1-EGFR (M1231) bispecific antibody drug conjugate [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5423.

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