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Published on: December 3, 2020
Model-Based Assessments of CYP-Mediated Drug-Drug Interaction Risk of Alectinib: Physiologically Based
Yumi Cleary1, Michael Gertz1, Peter N Morcos2
1Roche Innovation Center, Basel, Switzerland.
Abstract:
Alectinib is a selective anaplastic lymphoma kinase (ALK) inhibitor approved for the treatment of ALK-positive non-small cell lung cancer. Alectinib and its major active metabolite M4 exhibited drug-drug interaction (DDI) potential through cytochrome P450 (CYP) enzymes CYP3A4 and CYP2C8 in vitro. Clinical relevance of the DDI risk was investigated as part of a rapid development program to fulfill the breakthrough therapy designation. Therefore, a strategy with a combination of physiologically based pharmacokinetic (PBPK) modeling and limited clinical trials focused on generating informative data for modeling was made to ensure extrapolation ability of DDI risk. The PBPK modeling has provided mechanistic insight into the low victim DDI risk of alectinib through CYP3A4 by a novel two-dimensional analysis for fmCYP3A4 and FG , and demonstrated negligible CYPs 2C8 and 3A4 enzyme-modulating effects at clinically relevant exposure. This work supports that alectinib can be prescribed without dose adjustment for CYP-mediated DDI liabilities.
Insights
Alectinib, an ALK inhibitor for lung cancer, has low drug-drug interaction (DDI) risk. Physiologically based pharmacokinetic modeling confirmed alectinib can be safely used without dose adjustments for CYP-mediated DDIs.
Area of Science:
- Pharmacology
- Oncology
- Drug Metabolism
Background:
- Alectinib is an anaplastic lymphoma kinase (ALK) inhibitor for ALK-positive non-small cell lung cancer.
- In vitro studies indicated potential drug-drug interaction (DDI) risks for alectinib and its metabolite M4 involving cytochrome P450 (CYP) enzymes CYP3A4 and CYP2C8.
Purpose of the Study:
- To investigate the clinical relevance of potential DDIs associated with alectinib.
- To utilize physiologically based pharmacokinetic (PBPK) modeling combined with limited clinical trials to assess DDI risks.
Main Methods:
- Physiologically based pharmacokinetic (PBPK) modeling was employed to mechanistically evaluate DDI potential.
- A novel two-dimensional analysis of fmCYP3A4 and FG was used to assess CYP3A4-mediated victim DDI risk.
- Limited clinical trials were conducted to gather data for PBPK model refinement and validation.
Main Results:
- PBPK modeling indicated a low victim DDI risk for alectinib via CYP3A4.
- Alectinib demonstrated negligible enzyme-modulating effects on CYP2C8 and CYP3A4 at clinically relevant exposures.
- The developed PBPK model showed strong extrapolation ability for DDI risk assessment.
Conclusions:
- Alectinib exhibits a low risk for clinically significant CYP-mediated drug-drug interactions.
- No dose adjustments are necessary for alectinib when co-administered with drugs that affect CYP enzymes.
- This study supports the safe and effective use of alectinib in clinical practice without concerns for CYP-mediated DDIs.
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