ArticleCPT: pharmacometrics & systems pharmacology2025
Development and Verification of a Physiologically Based Pharmacokinetic Model of Furmonertinib and Its Main Metabolite for Drug-Drug Interaction Predictions.
Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Furmonertinib demonstrated potent efficacy as a newly developed tyrosine kinase inhibitor for the treatment of patients with epidermal growth factor receptor (EGFR) mutation-positive non-small cell lung cancer. In vitro research showed that furmonertinib is metabolized to its active metabolite AST5902 via the cytochrome P450 (CYP) enzyme CYP3A4. Furmonertinib is a strong CYP3A4 inducer, while the metabolite is a weaker CYP3A4 inducer. In clinical studies, nonlinear pharmacokinetics were observed during chronic dosing. The apparent clearance showed time- and dose-dependent increases. In this evaluation, a combination of in vitro data using radiolabeled compounds, clinical pharmacokinetic data, and drug-drug interaction (DDI) data of furmonertinib in oncology patients and/or in healthy subjects was used to develop a physiologically based pharmacokinetic (PBPK) model. The model was built in PK-Sim Version 11 using a total of 44 concentration-time profiles of furmonertinib and its metabolite AST5902. Suitability of the predictive model performance was demonstrated by both goodness-of-fit plots and statistical evaluation. The model predicted the observed monotherapy concentration profiles of furmonertinib well, with 32/32 predicted AUC
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