Physiologically-Based Pharmacokinetic/Pharmacodynamic Model of MBQ-167 to Predict Tumor Growth Inhibition in Mice
Javier Reig-López1, María Del Mar Maldonado2, Matilde Merino-Sanjuan1,3
1Department of Pharmacy and Pharmaceutical Technology and Parasitology, Faculty of Pharmacy, University of Valencia, 46100 Burjassot, Valencia, Spain.
Abstract:
MBQ-167 is a dual inhibitor of the Rho GTPases Rac and Cdc42 that has shown promising results as an anti-cancer therapeutic at the preclinical stage. This drug has been tested in vitro and in vivo in metastatic breast cancer mouse models. The aim of this study is to develop a physiologically based pharmacokinetic/pharmacodynamic (PBPK-PD) model of MBQ-167 to predict tumor growth inhibition following intraperitoneal (IP) administration in mice bearing Triple Negative and HER2+ mammary tumors. PBPK and Simeoni tumor growth inhibition (TGI) models were developed using the Simcyp V19 Animal Simulator. Our developed PBPK framework adequately describes the time course of MBQ-167 in each of the mouse tissues (e.g., lungs, heart, liver, kidneys, spleen, plasma) and tumor, since the predicted results were consistent with the experimental data. The developed PBPK-PD model successfully predicts tumor shrinkage in HER2+ and triple-negative breast tumors after the intraperitoneal administration of 1 and 10 mg/kg body weight (BW) dose level of MBQ-167 three times a week. The findings from this study suggest that MBQ-167 has a higher net effect and potency inhibiting Triple Negative mammary tumor growth compared to HER2+ and that liver metabolism is the major route of elimination of this drug.
Insights
MBQ-167, a dual Rho GTPase inhibitor, effectively reduced triple-negative breast tumors more than HER2+ tumors in mice. A PBPK-PD model accurately predicted this tumor growth inhibition, with liver metabolism as the primary elimination route.
Area of Science:
- Pharmacology and Toxicology
- Cancer Therapeutics
- Computational Biology
Background:
- MBQ-167 is a dual inhibitor of Rho GTPases Rac and Cdc42, showing preclinical anti-cancer potential.
- Metastatic breast cancer models in mice have demonstrated promising results for MBQ-167.
Purpose of the Study:
- To develop a physiologically based pharmacokinetic/pharmacodynamic (PBPK-PD) model for MBQ-167.
- To predict tumor growth inhibition (TGI) in triple-negative and HER2+ mammary tumors after intraperitoneal (IP) administration in mice.
Main Methods:
- Utilized Simcyp V19 Animal Simulator to develop PBPK and Simeoni TGI models.
- Validated the PBPK model by comparing predicted MBQ-167 concentrations with experimental data in various mouse tissues and tumors.
- Employed the PBPK-PD model to simulate tumor response to IP administration of MBQ-167.
Main Results:
- The PBPK framework accurately described MBQ-167's time course in mouse tissues and tumors.
- The PBPK-PD model successfully predicted tumor shrinkage in both HER2+ and triple-negative breast tumors.
- MBQ-167 demonstrated greater potency and net effect in inhibiting triple-negative mammary tumors compared to HER2+ tumors.
Conclusions:
- MBQ-167 exhibits differential efficacy against distinct breast cancer subtypes.
- Liver metabolism is identified as the principal pathway for MBQ-167 elimination.
- The developed PBPK-PD model serves as a valuable tool for predicting MBQ-167's anti-cancer effects.
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