Literature DB >> 23400739

Population pharmacokinetic/pharmacodynamic modeling to assist dosing schedule selection for dovitinib.

Xiaofeng Wang1, Andrea Kay, Oezlem Anak, Eric Angevin, Bernard Escudier, Wei Zhou, Yilin Feng, Margaret Dugan, Horst Schran.   

Abstract

Dovitinib is an oral multitargeted kinase inhibitor with potent activity against receptors for vascular endothelial growth factor, platelet-derived growth factor, and basic fibroblast growth factor. Initial phase 1 to 2 studies of dovitinib using a continuous daily dosing schedule has shown that dovitinib exhibits a prolonged and overproportional increase in dose and exposure relationship above 400 mg/d. To address this, intermittent dosing schedules were explored using a model-based approach. A semi-mechanistic population pharmcokinetic/pharmacodynamic (PD) model was developed from 4 dovitinib phase 1 studies with daily dosing schedules. Autoinduction of cytochrome P450 1A (CYP1A) responsible for dovitinib metabolism was described using an indirect response model. Simulation of dovitinib plasma concentration profiles following 4 intermittent dosing schedules suggested that intermittent dosing could prevent prolonged drug accumulation. Based on the simulated plasma profiles, PD response, and patient compliance, a 5-days-on/2-days-off intermittent dosing schedule was selected for a phase 1 to 2 clinical study. The observed dovitinib plasma concentrations in this study confirmed the model predictions. Furthermore, dovitinib was well tolerated, and antitumor activity was observed as well in this new study. The 5-days-on/2-days-off dosing schedule is currently used in a dovitinib registration trial and other clinical trials.
© 2012 The Author(s).

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Year:  2013        PMID: 23400739     DOI: 10.1177/0091270011433330

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  7 in total

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Authors:  Beatrix Wulkersdorfer; Markus Zeitlinger; Monika Schmid
Journal:  Clin Pharmacokinet       Date:  2016-01       Impact factor: 6.447

2.  Dovitinib versus sorafenib for third-line targeted treatment of patients with metastatic renal cell carcinoma: an open-label, randomised phase 3 trial.

Authors:  Robert J Motzer; Camillo Porta; Nicholas J Vogelzang; Cora N Sternberg; Cezary Szczylik; Jakub Zolnierek; Christian Kollmannsberger; Sun Young Rha; Georg A Bjarnason; Bohuslav Melichar; Ugo De Giorgi; Viktor Grünwald; Ian D Davis; Jae-Lyun Lee; Emilio Esteban; Gladys Urbanowitz; Can Cai; Matthew Squires; Mahtab Marker; Michael M Shi; Bernard Escudier
Journal:  Lancet Oncol       Date:  2014-02-17       Impact factor: 41.316

3.  The anticancer multi-kinase inhibitor dovitinib also targets topoisomerase I and topoisomerase II.

Authors:  Brian B Hasinoff; Xing Wu; John L Nitiss; Ragu Kanagasabai; Jack C Yalowich
Journal:  Biochem Pharmacol       Date:  2012-10-05       Impact factor: 5.858

4.  Interaction potential of the multitargeted receptor tyrosine kinase inhibitor dovitinib with drug transporters and drug metabolising enzymes assessed in vitro.

Authors:  Johanna Weiss; Dirk Theile; Zdenek Dvorak; Walter Emil Haefeli
Journal:  Pharmaceutics       Date:  2014-12-16       Impact factor: 6.321

5.  A New Validated HPLC-MS/MS Method for Quantification and Pharmacokinetic Evaluation of Dovitinib, a Multi-Kinase Inhibitor, in Mouse Plasma.

Authors:  Haitham AlRabiah; Adnan A Kadi; Haya I Aljohar; Mohamed W Attwa; Nasser S Al-Shakliah; Sabry M Attia; Gamal Ae Mostafa
Journal:  Drug Des Devel Ther       Date:  2020-01-28       Impact factor: 4.162

6.  Phase II study of dovitinib in patients with metastatic and/or unresectable gastrointestinal stromal tumours after failure of imatinib and sunitinib.

Authors:  Y-K Kang; C Yoo; B-Y Ryoo; J J Lee; E Tan; I Park; J H Park; Y J Choi; J Jo; J-S Ryu; M-H Ryu
Journal:  Br J Cancer       Date:  2013-10-01       Impact factor: 7.640

7.  A Receptor Tyrosine Kinase Inhibitor, Dovitinib (TKI-258), Enhances BMP-2-Induced Osteoblast Differentiation In Vitro.

Authors:  Yura Lee; Kyoung Jun Bae; Hae Jung Chon; Seong Hwan Kim; Soon Ae Kim; Jiyeon Kim
Journal:  Mol Cells       Date:  2016-03-30       Impact factor: 5.034

  7 in total

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