Literature DB >> 28122787

A Physiologically-Based Pharmacokinetic Modeling Approach To Predict Drug-Drug Interactions of Sonidegib (LDE225) with Perpetrators of CYP3A in Cancer Patients.

Heidi J Einolf1, Jocelyn Zhou2, Christina Won2, Lai Wang2, Sam Rebello2.   

Abstract

Sonidegib (Odomzo) is an orally available Smoothened inhibitor for the treatment of advanced basal cell carcinoma. Sonidegib was found to be metabolized primarily by cytochrome P450 (CYP)3A in vitro. The effect of multiple doses of the strong CYP3A perpetrators, ketoconazole (KTZ) and rifampin (RIF), on sonidegib pharmacokinetics (PK) after a single 800 mg dose in healthy subjects was therefore assessed. These data were used to verify a physiologically-based pharmacokinetic (PBPK) model developed to 1) bridge the clinical drug-drug interaction (DDI) study of sonidegib with KTZ and RIF in healthy subjects to the marketed dose (200 mg) in patients 2) predict acute (14 days) versus long-term dosing of the perpetrators with sonidegib at steady state and 3) predict the effect of moderate CYP3A perpetrators on sonidegib exposure in patients. Treatment of healthy subjects with KTZ resulted in an increased sonidegib exposure of 2.25- and 1.49-fold (area under the curve0-240h and maximal concentration respectively), and RIF decreased exposure by 72% and 54%, respectively. The model simulated the single- and/or multiple-dose PK of sonidegib (healthy subjects and patients) within ∼50% of observed values. The effect of KTZ and RIF on sonidegib in healthy subjects was also simulated well, and the predicted DDI in patients was slightly less and independent of sonidegib dose. At steady state, sonidegib was predicted to have a higher DDI magnitude with strong or moderate CYP3A perpetrators compared with a single dose. Different dosing regimens of sondigeb with the perpetrators were also simulated and provided guidance to the current dosing recommendations incorporated in the product label.
Copyright © 2017 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2017        PMID: 28122787     DOI: 10.1124/dmd.116.073585

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  6 in total

1.  Predicting the Drug-Drug Interaction Mediated by CYP3A4 Inhibition: Method Development and Performance Evaluation.

Authors:  Hong-Can Ren; Yang Sai; Tao Chen; Chun Zhang; Lily Tang; Cheng-Guang Yang
Journal:  AAPS J       Date:  2021-12-10       Impact factor: 4.009

Review 2.  Safety and Tolerability of Sonic Hedgehog Pathway Inhibitors in Cancer.

Authors:  Richard L Carpenter; Haimanti Ray
Journal:  Drug Saf       Date:  2019-02       Impact factor: 5.606

Review 3.  Physiologically Based Pharmacokinetic Model Qualification and Reporting Procedures for Regulatory Submissions: A Consortium Perspective.

Authors:  Mohamad Shebley; Punam Sandhu; Arian Emami Riedmaier; Masoud Jamei; Rangaraj Narayanan; Aarti Patel; Sheila Annie Peters; Venkatesh Pilla Reddy; Ming Zheng; Loeckie de Zwart; Maud Beneton; Francois Bouzom; Jun Chen; Yuan Chen; Yumi Cleary; Christiane Collins; Gemma L Dickinson; Nassim Djebli; Heidi J Einolf; Iain Gardner; Felix Huth; Faraz Kazmi; Feras Khalil; Jing Lin; Aleksandrs Odinecs; Chirag Patel; Haojing Rong; Edgar Schuck; Pradeep Sharma; Shu-Pei Wu; Yang Xu; Shinji Yamazaki; Kenta Yoshida; Malcolm Rowland
Journal:  Clin Pharmacol Ther       Date:  2018-02-02       Impact factor: 6.875

4.  A Drug-Drug Interaction Study to Evaluate the Effect of TAS-303 on CYP3A Activity in the Small Intestine and Liver.

Authors:  Yuji Kumagai; Tomoe Fujita; Mika Maeda; Yoshinobu Sasaki; Makoto Nagaoka; Jinhong Huang; Toru Takenaka; Masaki Kawai
Journal:  J Clin Pharmacol       Date:  2020-02-05       Impact factor: 3.126

Review 5.  Utilization of Physiologically Based Pharmacokinetic Modeling in Clinical Pharmacology and Therapeutics: an Overview.

Authors:  Courtney Perry; Grace Davis; Todd M Conner; Tao Zhang
Journal:  Curr Pharmacol Rep       Date:  2020-05-12

Review 6.  Sonidegib for the Treatment of Advanced Basal Cell Carcinoma.

Authors:  Gabriella Brancaccio; Federico Pea; Elvira Moscarella; Giuseppe Argenziano
Journal:  Front Oncol       Date:  2020-10-30       Impact factor: 6.244

  6 in total

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