LB-013 - PHYSIOLOGICALLY BASED ABSORPTION AND PHARMACOKINETIC MODEL FOR RIVOCERANIB AND ITS MAIN METABOLITE TO ASSESS POTENTIAL CYP3A4-MEDIATED DDI RISK.
Thursday, March 23, 2023
5:00 PM – 6:30 PM EDT
J. Novakovic1, G. Fraczkiewicz1, J. Heckman2, B. Strickland2, S. Jang2, M. Zhou3, N. Djebli4; 1Simulations Plus Inc, Lancaster, CA, United States, 2Elevar Therapeutics, Salt Lake City, UT, United States, 3Luszana Biotechnology, West Winsor Township, NJ, United States, 4Luszana Biotechnology, Basel, Switzerland.
Principal Scientist Simulations Plus Inc Lancaster, California, United States
Background: PBPK model for anticancer drug rivoceranib (RIV) was developed and validated to assess potential risk of CYP3A4-mediated DDIs.
Methods: In vivo distribution of RIV was modeled using GastroPlus default Kp estimation method [1]. Systemic clearance was parameterized via CYP3A4 and 2D6 saturable kinetics (Km, Vmax) [2]. PK data of RIV and metabolite M1-1 upon RIV oral doses of 81-750 mg, were used in model development. Clinical DDI studies with rifampicin or itraconazole were used to assess model performance. Validated model was applied to project RIV CYP3A4-mediated DDI with ranitidine (weak inhibitor), fluconazole (moderate inhibitor), and efavirenz (moderate inducer).
Results: PBPK model adequately described RIV and M1-1 exposures (Fig 1A), elimination via CYP3A4 and 2D6 (Fig 1B), magnitude of DDIs (Fig 1C and 1D), and food effect (not shown). Predicted/observed AUC0-t and Cmax across fasted, fed, and DDI studies were within 0.8-1.25-fold range. Estimated RIV metabolism via CYP3A4 was about 70% (50% liver, 20% gut) and < 20% via 2D6. Model projected increase in Cmax and AUC0-t by 1.2 and 1.5-fold, 1.5 and 2.3-fold, and 0.6 and 0.4-fold, with ranitidine, fluconazole, and efavirenz, respectively.
Conclusion: Validated PBPK model was applied to assess DDI potential and inform the DDI label in lieu of clinical studies.
1. Lukacova, V., et al., General Approach to Calculation of Tissue:Plasma Partition Coefficients for Physiologically Based Pharmacokinetic (PBPK) Modeling, in AAPS Annual Meeting. 2008: Atlanta, GA
2. Ding, J., et al., Metabolism and pharmacokinetics of novel selective vascular endothelial growth factor receptor-2 inhibitor apatinib in humans. Drug Metab. Dispos. 41, 1195-210 (2013)