Literature DB >> 29204687

A physiologically based pharmacokinetic (PBPK) parent-metabolite model of the chemotherapeutic zoptarelin doxorubicin-integration of in vitro results, Phase I and Phase II data and model application for drug-drug interaction potential analysis.

Nina Hanke1, Michael Teifel2, Daniel Moj1, Jan-Georg Wojtyniak1, Hannah Britz1, Babette Aicher2, Herbert Sindermann2, Nicola Ammer2, Thorsten Lehr3.   

Abstract

PURPOSE: Zoptarelin doxorubicin is a fusion molecule of the chemotherapeutic doxorubicin and a luteinizing hormone-releasing hormone receptor (LHRHR) agonist, designed for drug targeting to LHRHR positive tumors. The aim of this study was to establish a physiologically based pharmacokinetic (PBPK) parent-metabolite model of zoptarelin doxorubicin and to apply it for drug-drug interaction (DDI) potential analysis.
METHODS: The PBPK model was built in a two-step procedure. First, a model for doxorubicin was developed, using clinical data of a doxorubicin study arm. Second, a parent-metabolite model for zoptarelin doxorubicin was built, using clinical data of three different zoptarelin doxorubicin studies with a dosing range of 10-267 mg/m2, integrating the established doxorubicin model. DDI parameters determined in vitro were implemented to predict the impact of zoptarelin doxorubicin on possible victim drugs.
RESULTS: In vitro, zoptarelin doxorubicin inhibits the drug transporters organic anion-transporting polypeptide 1B3 (OATP1B3) and organic cation transporter 2 (OCT2). The model was applied to evaluate the in vivo inhibition of these transporters in a generic manner, predicting worst-case scenario decreases of 0.5% for OATP1B3 and of 2.5% for OCT2 transport rates. Specific DDI simulations using PBPK models of simvastatin (OATP1B3 substrate) and metformin (OCT2 substrate) predict no significant changes of the plasma concentrations of these two victim drugs during co-administration.
CONCLUSIONS: The first whole-body PBPK model of zoptarelin doxorubicin and its active metabolite doxorubicin has been successfully established. Zoptarelin doxorubicin shows no potential for DDIs via OATP1B3 and OCT2.

Entities:  

Keywords:  AEZS-108; AN-152; Doxorubicin; Drug–drug interaction; PBPK modeling; Targeted chemotherapy

Mesh:

Substances:

Year:  2017        PMID: 29204687     DOI: 10.1007/s00280-017-3495-2

Source DB:  PubMed          Journal:  Cancer Chemother Pharmacol        ISSN: 0344-5704            Impact factor:   3.333


  4 in total

1.  Unravelling Mechanisms of Doxorubicin-Induced Toxicity in 3D Human Intestinal Organoids.

Authors:  Daniela Rodrigues; Luke Coyle; Barbara Füzi; Sofia Ferreira; Heeseung Jo; Bram Herpers; Seung-Wook Chung; Ciarán Fisher; Jos C S Kleinjans; Danyel Jennen; Theo M de Kok
Journal:  Int J Mol Sci       Date:  2022-01-24       Impact factor: 6.208

2.  Data Digitizing: Accurate and Precise Data Extraction for Quantitative Systems Pharmacology and Physiologically-Based Pharmacokinetic Modeling.

Authors:  Jan-Georg Wojtyniak; Hannah Britz; Dominik Selzer; Matthias Schwab; Thorsten Lehr
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-06-16

3.  Physiologically Based Pharmacokinetic Modelling and Simulation to Predict the Plasma Concentration Profile of Doxorubicin.

Authors:  George A Mystridis; Georgios C Batzias; Ioannis S Vizirianakis
Journal:  Pharmaceutics       Date:  2022-02-28       Impact factor: 6.321

4.  New insights into the mechanisms underlying 5-fluorouracil-induced intestinal toxicity based on transcriptomic and metabolomic responses in human intestinal organoids.

Authors:  Daniela Rodrigues; Terezinha de Souza; Luke Coyle; Matteo Di Piazza; Bram Herpers; Sofia Ferreira; Mian Zhang; Johanna Vappiani; Daniel C Sévin; Attila Gabor; Anthony Lynch; Seung-Wook Chung; Julio Saez-Rodriguez; Danyel G J Jennen; Jos C S Kleinjans; Theo M de Kok
Journal:  Arch Toxicol       Date:  2021-06-20       Impact factor: 5.153

  4 in total

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