Abstract

Abstract BAY 1834942 is an immunostimulatory function-blocking (fb) antibody (Ab) against the target carcinoembryonic antigen related cell adhesion molecule 6 (CEACAM6) expressed on tumor cells in multiple cancer indications. The suggested mode of action of BAY 1834942 is the blockade of the immunosuppressive effect of CEACAM6 on activated T cells which restores the immune response against cancer cells. Available preclinical pharmacokinetic (PK) and in vitro pharmacodynamic (PD) data, target receptor density information and tumor (patho-)physiology were used to create a model framework taking into account the three most essential ‘pillars' (target exposure, target binding and drug activity) to estimate the human efficacious dosing of BAY 1834942. For this purpose, a physiologically-based pharmacokinetic (PBPK) model considering target binding of BAY 1834942 in tumor tissue and on blood granulocytes has been developed. The aim of the PBPK model was to estimate the dose range and regimen for humans leading to exposure level at the tumor site that allows sufficient target binding. The PBPK simulations were based on 1) an analysis of PD in vitro data in order to estimate the degree of saturation needed for maximum drug activity, 2) the assessment of CEACAM6 receptor numbers on tumor cells and blood granulocytes and 3) in vivo PK data in order to develop and evaluate the PBPK model. For the latter, plasma PK data of BAY 1834942 in monkeys were used as well as known tumor concentration-time profiles of the antibodies MOPC21 (non-targeting Ab) and ZCE025 (anti-CEA Ab) in mice and humans. Uncertainty of parameters which are relevant for CEACAM6 target saturation was considered by stochastic in silico simulations to estimate the CEACAM6 saturation at the tumor vs. dosing. This analysis revealed that the predicted human efficacious dose strongly depends on CEACAM6 density. Thus, a low CEACAM6 density scenario (25,000 CEACAM6/tumor cell) and a high CEACAM6 density scenario (250,000 CEACAM6/tumor cell) were simulated and used to support dose selection for the first-in-man (FIM) study of BAY 1834942. The FIM study is currently under preparation. Citation Format: Sabine Wittemer-Rump, Christoph Niederalt, Joerg Willuda, Mark Trautwein, Merlin Luetke-Eversloh, Wolf-Dietrich Doecke, Clemens Guenther, Christian Scheerans. Physiologically based pharmacokinetic modeling and simulations to estimate the efficacious dose of the CEACAM6 function-blocking antibody BAY 1834942 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2791.

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