Literature DB >> 27534647

Development of a Pharmacokinetic Model to Describe the Complex Pharmacokinetics of Pazopanib in Cancer Patients.

Huixin Yu1, Nielka van Erp2, Sander Bins3, Ron H J Mathijssen3, Jan H M Schellens4,5,6, Jos H Beijnen7,5,6, Neeltje Steeghs4,5, Alwin D R Huitema7,5.   

Abstract

BACKGROUND AND
OBJECTIVE: Pazopanib is a multi-targeted anticancer tyrosine kinase inhibitor. This study was conducted to develop a population pharmacokinetic (popPK) model describing the complex pharmacokinetics of pazopanib in cancer patients.
METHODS: Pharmacokinetic data were available from 96 patients from three clinical studies. A multi-compartment model including (i) a complex absorption profile, (ii) the potential non-linear dose-concentration relationship and (iii) the potential long-term decrease in exposure was developed.
RESULTS: A two-compartment model best described pazopanib pharmacokinetics. The absorption phase was modelled by two first-order processes: 36 % (relative standard error [RSE] 34 %) of the administered dose was absorbed with a relatively fast rate (0.4 h-1 [RSE 31 %]); after a lag time of 1.0 h (RSE 6 %), the remaining dose was absorbed at a slower rate (0.1 h-1 [RSE 28 %]). The relative bioavailability (rF) at a dose of 200 mg was fixed to 1. With an increasing dose, the rF was strongly reduced, which was modelled with an E max (maximum effect) model (E max was fixed to 1, the dose at half of maximum effect was estimated as 480 mg [RSE 23 %]). Interestingly, the plasma exposure to pazopanib also decreased over time, modelled on rF with a maximum magnitude of 50 % (RSE 27 %) and a first-order decay constant of 0.15 day-1 (RSE 43 %). The inter-patient and intra-patient variability on rF were estimated as 36 % (RSE 16 %) and 75 % (RSE 22 %), respectively.
CONCLUSION: A popPK model for pazopanib was developed that illustrated the complex absorption process, the non-linear dose-concentration relationship, the high inter-patient and intra-patient variability, and the first-order decay of pazopanib concentration over time. The developed popPK model can be used in clinical practice to screen covariates and guide therapeutic drug monitoring.

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Year:  2017        PMID: 27534647     DOI: 10.1007/s40262-016-0443-y

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  24 in total

1.  Integrated semi-physiological pharmacokinetic model for both sunitinib and its active metabolite SU12662.

Authors:  Huixin Yu; Neeltje Steeghs; Jacqueline S L Kloth; Djoeke de Wit; J G Coen van Hasselt; Nielka P van Erp; Jos H Beijnen; Jan H M Schellens; Ron H J Mathijssen; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2015-05       Impact factor: 4.335

2.  Simultaneous vs. sequential analysis for population PK/PD data I: best-case performance.

Authors:  Liping Zhang; Stuart L Beal; Lewis B Sheiner
Journal:  J Pharmacokinet Pharmacodyn       Date:  2003-12       Impact factor: 2.745

3.  Piraña and PCluster: a modeling environment and cluster infrastructure for NONMEM.

Authors:  Ron J Keizer; Michel van Benten; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema
Journal:  Comput Methods Programs Biomed       Date:  2010-06-02       Impact factor: 5.428

4.  PsN-Toolkit--a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM.

Authors:  Lars Lindbom; Pontus Pihlgren; E Niclas Jonsson; Niclas Jonsson
Journal:  Comput Methods Programs Biomed       Date:  2005-09       Impact factor: 5.428

5.  Inherent correlation between dose and clearance in therapeutic drug monitoring settings: possible misinterpretation in population pharmacokinetic analyses.

Authors:  Jae Eun Ahn; Angela K Birnbaum; Richard C Brundage
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-12       Impact factor: 2.745

6.  Therapeutic drug monitoring of imatinib: Bayesian and alternative methods to predict trough levels.

Authors:  Verena Gotta; Nicolas Widmer; Michael Montemurro; Serge Leyvraz; Amina Haouala; Laurent A Decosterd; Chantal Csajka; Thierry Buclin
Journal:  Clin Pharmacokinet       Date:  2012-03-01       Impact factor: 6.447

7.  Individualized Pazopanib Dosing: A Prospective Feasibility Study in Cancer Patients.

Authors:  Remy B Verheijen; Sander Bins; Ron H J Mathijssen; Martijn P Lolkema; Leni van Doorn; Jan H M Schellens; Jos H Beijnen; Marlies H G Langenberg; Alwin D R Huitema; Neeltje Steeghs
Journal:  Clin Cancer Res       Date:  2016-07-28       Impact factor: 12.531

8.  Impact of pazopanib on docetaxel exposure: results of a phase I combination study with two different docetaxel schedules.

Authors:  P Hamberg; R H J Mathijssen; P de Bruijn; C Leonowens; D van der Biessen; F A L M Eskens; S Sleijfer; J Verweij; M J A de Jonge
Journal:  Cancer Chemother Pharmacol       Date:  2014-12-23       Impact factor: 3.333

9.  Pharmacokinetics of pazopanib administered in combination with bevacizumab.

Authors:  Diane-Charlotte Imbs; Sylvie Négrier; Philippe Cassier; Antoine Hollebecque; Andrea Varga; Ellen Blanc; Thierry Lafont; Bernard Escudier; Jean-Charles Soria; David Pérol; Etienne Chatelut
Journal:  Cancer Chemother Pharmacol       Date:  2014-04-06       Impact factor: 3.333

10.  Pazopanib exposure decreases as a result of an ifosfamide-dependent drug-drug interaction: results of a phase I study.

Authors:  P Hamberg; M J Boers-Sonderen; W T A van der Graaf; P de Bruijn; A B Suttle; F A L M Eskens; J Verweij; C M L van Herpen; S Sleijfer
Journal:  Br J Cancer       Date:  2013-12-24       Impact factor: 7.640

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Review 1.  Individualized dosing of oral targeted therapies in oncology is crucial in the era of precision medicine.

Authors:  Stefanie L Groenland; Ron H J Mathijssen; Jos H Beijnen; Alwin D R Huitema; Neeltje Steeghs
Journal:  Eur J Clin Pharmacol       Date:  2019-06-07       Impact factor: 2.953

2.  Therapeutic drug monitoring of small molecule kinase inhibitors in oncology in a real-world cohort study: does age matter?

Authors:  Marie-Rose B S Crombag; Jacobine G C van Doremalen; Julie M Janssen; Hilde Rosing; Jan H M Schellens; Jos H Beijnen; Neeltje Steeghs; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2018-09-26       Impact factor: 4.335

3.  Optimizing the dose in cancer patients treated with imatinib, sunitinib and pazopanib.

Authors:  Nienke A G Lankheet; Ingrid M E Desar; Sasja F Mulder; David M Burger; Dinemarie M Kweekel; Carla M L van Herpen; Winette T A van der Graaf; Nielka P van Erp
Journal:  Br J Clin Pharmacol       Date:  2017-07-04       Impact factor: 4.335

4.  Relation between Plasma Trough Concentration of Pazopanib and Progression-Free Survival in Metastatic Soft Tissue Sarcoma Patients.

Authors:  Marie-Sophie Minot-This; Pascaline Boudou-Rouquette; Anne Jouinot; Sixtine de Percin; David Balakirouchenane; Nihel Khoudour; Camille Tlemsani; Jonathan Chauvin; Audrey Thomas-Schoemann; François Goldwasser; Benoit Blanchet; Jérôme Alexandre
Journal:  Pharmaceutics       Date:  2022-06-09       Impact factor: 6.525

5.  Targeted drug delivery strategies for precision medicines.

Authors:  Mandana T Manzari; Yosi Shamay; Hiroto Kiguchi; Neal Rosen; Maurizio Scaltriti; Daniel A Heller
Journal:  Nat Rev Mater       Date:  2021-02-02       Impact factor: 66.308

Review 6.  Clinical Pharmacokinetics and Pharmacodynamics of Pazopanib: Towards Optimized Dosing.

Authors:  Remy B Verheijen; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema; Neeltje Steeghs
Journal:  Clin Pharmacokinet       Date:  2017-09       Impact factor: 6.447

Review 7.  Severe tyrosine-kinase inhibitor induced liver injury in metastatic renal cell carcinoma patients: two case reports assessed for causality using the updated RUCAM and review of the literature.

Authors:  Hana Studentova; Jindriska Volakova; Martina Spisarova; Anezka Zemankova; Kvetoslava Aiglova; Tomas Szotkowski; Bohuslav Melichar
Journal:  BMC Gastroenterol       Date:  2022-02-05       Impact factor: 3.067

8.  Impact of CYP3A4*22 on Pazopanib Pharmacokinetics in Cancer Patients.

Authors:  Sander Bins; Alwin D R Huitema; Pim Laven; Samira El Bouazzaoui; Huixin Yu; Nielka van Erp; Carla van Herpen; Paul Hamberg; Hans Gelderblom; Neeltje Steeghs; Stefan Sleijfer; Ron H N van Schaik; Ron H J Mathijssen; Stijn L W Koolen
Journal:  Clin Pharmacokinet       Date:  2019-05       Impact factor: 6.447

Review 9.  Imatinib, sunitinib and pazopanib: From flat-fixed dosing towards a pharmacokinetically guided personalized dose.

Authors:  Kim Westerdijk; Ingrid M E Desar; Neeltje Steeghs; Winette T A van der Graaf; Nielka P van Erp
Journal:  Br J Clin Pharmacol       Date:  2020-01-21       Impact factor: 4.335

10.  Easy and reliable maximum a posteriori Bayesian estimation of pharmacokinetic parameters with the open-source R package mapbayr.

Authors:  Félicien Le Louedec; Florent Puisset; Fabienne Thomas; Étienne Chatelut; Mélanie White-Koning
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-09-08
  10 in total

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