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Physiologically based pharmacokinetic model of lapatinib developed in mice and scaled to humans
Susan F Hudachek1, Daniel L Gustafson
1Department of Clinical Sciences, Animal Cancer Center, Colorado State University, Fort Collins, CO, USA. Susan.Hudachek@colostate.edu
Abstract:
Lapatinib is an oral 4-anilinoquinazoline derivative that dually inhibits epidermal growth factor receptor and human epidermal growth factor receptor 2 (HER2). This drug is a mere decade old and has only been approved by the FDA for the treatment of breast cancer since 2007. Consequently, the intricacies of the pharmacokinetics are still being elucidated. In the work presented herein, we determined the biodistribution of orally administered lapatinib in mouse plasma, brain, heart, lung, kidney, intestine, liver, muscle and adipose tissue. Using this data, we subsequently developed a physiologically based pharmacokinetic (PBPK) model of lapatinib in mice that accurately predicted the tissue concentrations after doses of 30, 60 and 90 mg/kg. By taking into account interspecies differences in physiology and physiochemistry, we then extrapolated the mouse PBPK model to humans. Our model predictions closely reflected lapatinib plasma pharmacokinetics in healthy subjects. Additionally, we were also able to simulate the pharmacokinetics of this drug in the plasma of patients with solid malignancies by incorporating a decrease in liver metabolism into the model. Finally, our PBPK model also facilitated the estimation of various human tissue exposures to lapatinib, which harmonize with the organ-specific toxicities observed in clinical trials. This first-generation PBPK model of lapatinib can be further improved with a greater understanding of lapatinib absorption, distribution, metabolism and excretion garnered from subsequent in vitro and in vivo studies and expanded to include other pharmacokinetic determinants, including efflux transporters, metabolite generation, combination dosing, etc., to better predict lapatinib disposition in both mouse and man.
Insights
This study developed a physiologically based pharmacokinetic (PBPK) model for lapatinib, predicting its distribution in mice and humans. The model accurately reflects drug concentrations and aids in understanding organ-specific toxicities for breast cancer treatment.
Area of Science:
- Pharmacology
- Pharmacokinetics
- Biomedical Modeling
Background:
- Lapatinib, an EGFR/HER2 inhibitor, is FDA-approved for breast cancer.
- Its pharmacokinetic profile, especially tissue distribution, requires further elucidation.
- Understanding drug disposition is crucial for optimizing therapeutic efficacy and safety.
Purpose of the Study:
- To determine lapatinib biodistribution in mice across various tissues.
- To develop and validate a physiologically based pharmacokinetic (PBPK) model for lapatinib in mice.
- To extrapolate the PBPK model to predict human pharmacokinetics and tissue exposure.
Main Methods:
- Determined oral lapatinib biodistribution in mouse plasma and tissues.
- Developed a PBPK model using mouse biodistribution data.
- Validated the PBPK model against observed mouse tissue concentrations.
- Extrapolated the mouse PBPK model to humans, incorporating interspecies differences.
- Simulated pharmacokinetics in cancer patients by adjusting liver metabolism parameters.
Main Results:
- The PBPK model accurately predicted lapatinib tissue concentrations in mice at various doses.
- Extrapolated human model predictions closely matched observed plasma pharmacokinetics in healthy subjects.
- Simulations for cancer patients reflected altered liver metabolism.
- Estimated human tissue exposures correlated with observed clinical toxicities.
Conclusions:
- The developed PBPK model provides a robust framework for predicting lapatinib pharmacokinetics and tissue exposure in mice and humans.
- This model aids in understanding lapatinib's disposition and its relationship to organ-specific toxicities.
- Further refinement with additional in vitro/in vivo data will enhance predictive capabilities for absorption, distribution, metabolism, and excretion.
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