1. Nonlinear Mixed-Effects Model of Z-Endoxifen Concentrations in Tamoxifen-Treated Patients from the CEPAM Cohort.
- Author
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Mc Laughlin AM, Helland T, Klima F, Koolen SLW, van Schaik RHN, Mathijssen RHJ, Neven P, Swen JJ, Guchelaar HJ, Dalenc F, White-Koning M, Michelet R, Mikus G, Schroth W, Mürdter T, Brauch H, Schwab M, Søiland H, Mellgren G, Thomas F, Kloft C, and Hertz DL
- Subjects
- Humans, Female, Models, Biological, Middle Aged, Cohort Studies, Treatment Outcome, Computer Simulation, Aged, Tamoxifen analogs & derivatives, Tamoxifen pharmacokinetics, Tamoxifen blood, Tamoxifen therapeutic use, Cytochrome P-450 CYP2D6 metabolism, Cytochrome P-450 CYP2D6 genetics, Breast Neoplasms drug therapy, Antineoplastic Agents, Hormonal pharmacokinetics, Antineoplastic Agents, Hormonal therapeutic use, Antineoplastic Agents, Hormonal blood, Nonlinear Dynamics
- Abstract
Tamoxifen is widely used in patients with hormone receptor-positive breast cancer. The polymorphic enzyme CYP2D6 is primarily responsible for metabolic activation of tamoxifen, resulting in substantial interindividual variability of plasma concentrations of its most important metabolite, Z-endoxifen. The Z-endoxifen concentration thresholds below which tamoxifen treatment is less efficacious have been proposed but not validated, and prospective trials of individualized tamoxifen treatment to achieve Z-endoxifen concentration thresholds are considered infeasible. Therefore, we aim to validate the association between Z-endoxifen concentration and tamoxifen treatment outcomes, and identify a Z-endoxifen concentration threshold of tamoxifen efficacy, using pharmacometric modeling and simulation. As a first step, the CYP2D6 Endoxifen Percentage Activity Model (CEPAM) cohort was created by pooling data from 28 clinical studies (> 7,000 patients) with measured endoxifen plasma concentrations. After cleaning, data from 6,083 patients were used to develop a nonlinear mixed-effect (NLME) model for tamoxifen and Z-endoxifen pharmacokinetics that includes a conversion factor to allow inclusion of studies that measured total endoxifen but not Z-endoxifen. The final parent-metabolite NLME model confirmed the primary role of CYP2D6, and contributions from body weight, CYP2C9 phenotype, and co-medication with CYP2D6 inhibitors, on Z-endoxifen pharmacokinetics. Future work will use the model to simulate Z-endoxifen concentrations in patients receiving single agent tamoxifen treatment within large prospective clinical trials with long-term survival to identify the Z-endoxifen concentration threshold below which tamoxifen is less efficacious. Identification of this concentration threshold would allow personalized tamoxifen treatment to improve outcomes in patients with hormone receptor-positive breast cancer., (© 2024 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)
- Published
- 2024
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