Literature DB >> 31975150

Physiologically Based Pharmacokinetic Modeling and Simulation of Sunitinib in Pediatrics.

Yanke Yu1, Steven G DuBois2, Cynthia Wetmore3, Reza Khosravan4.   

Abstract

Using physiologically based pharmacokinetic (PBPK) modeling and simulations, this study estimated the exposure of sunitinib and its active metabolite SU012662 in pediatric patients. A PBPK simulator, SimCYP, was used to develop and validate the pharmacokinetic models. Model development employed a combined "bottom-up" and "top-down" approach to fully utilize the available in vitro or in silico experimental data and in vivo observed clinical data. First, the PBPK model for sunitinib was established, then the cytochrome P450 3A4-mediated metabolism of sunitinib was used as the input for SU012662. PBPK models were validated using pharmacokinetics of sunitinib and SU012662 from one study in adult patients with solid tumors and three clinical trials in pediatric patients with solid or gastrointestinal stromal tumors. The models were further used to predict the exposure of sunitinib and SU012662 by pediatric age groups. The PBPK models for sunitinib and SU012662 developed based on pharmacokinetic characteristics in adults successfully predicted the observed in vivo pharmacokinetics of sunitinib and SU012662 in both adults and pediatric patients. Based on the SimCYP model predictions, a daily dose of 20 mg/m2 will produce sunitinib and SU012662 total exposures in pediatric patients similar to those in adults with gastrointestinal stromal tumor treated with a clinical dose of 50 mg once daily.

Entities:  

Keywords:  PBPK; gastrointestinal stromal tumor; model; pediatric; pharmacokinetic; sunitinib

Mesh:

Substances:

Year:  2020        PMID: 31975150     DOI: 10.1208/s12248-020-0423-x

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  9 in total

1.  Physiologically based pharmacokinetic modeling 1: predicting the tissue distribution of moderate-to-strong bases.

Authors:  Trudy Rodgers; David Leahy; Malcolm Rowland
Journal:  J Pharm Sci       Date:  2005-06       Impact factor: 3.534

2.  A re-evaluation and validation of ontogeny functions for cytochrome P450 1A2 and 3A4 based on in vivo data.

Authors:  Farzaneh Salem; Trevor N Johnson; Khaled Abduljalil; Geoffrey T Tucker; Amin Rostami-Hodjegan
Journal:  Clin Pharmacokinet       Date:  2014-07       Impact factor: 6.447

3.  Phase I and pharmacokinetic study of sunitinib in pediatric patients with refractory solid tumors: a children's oncology group study.

Authors:  Steven G Dubois; Suzanne Shusterman; Ashish M Ingle; Charlotte H Ahern; Joel M Reid; Bing Wu; Sylvain Baruchel; Julia Glade-Bender; Percy Ivy; Holcombe E Grier; Peter C Adamson; Susan M Blaney
Journal:  Clin Cancer Res       Date:  2011-06-20       Impact factor: 12.531

Review 4.  Developmental pharmacokinetics in pediatric populations.

Authors:  Hong Lu; Sara Rosenbaum
Journal:  J Pediatr Pharmacol Ther       Date:  2014 Oct-Dec

5.  Evaluation of changes in oral drug absorption in preterm and term neonates for Biopharmaceutics Classification System (BCS) class I and II compounds.

Authors:  Amit A Somani; Kirstin Thelen; Songmao Zheng; Mirjam N Trame; Katrin Coboeken; Michaela Meyer; Katrin Schnizler; Ibrahim Ince; Stefan Willmann; Stephan Schmidt
Journal:  Br J Clin Pharmacol       Date:  2015-10-30       Impact factor: 4.335

6.  Relationship Between Sunitinib Pharmacokinetics and Administration Time: Preclinical and Clinical Evidence.

Authors:  Jacqueline S L Kloth; Lisette Binkhorst; Annelieke S de Wit; Peter de Bruijn; Paul Hamberg; Mei H Lam; Herman Burger; Ines Chaves; Erik A C Wiemer; Gijsbertus T J van der Horst; Ron H J Mathijssen
Journal:  Clin Pharmacokinet       Date:  2015-08       Impact factor: 6.447

7.  Phase II evaluation of sunitinib in the treatment of recurrent or refractory high-grade glioma or ependymoma in children: a children's Oncology Group Study ACNS1021.

Authors:  Cynthia Wetmore; Vinay M Daryani; Catherine A Billups; James M Boyett; Sarah Leary; Rachel Tanos; Kelly C Goldsmith; Clinton F Stewart; Susan M Blaney; Amar Gajjar
Journal:  Cancer Med       Date:  2016-04-25       Impact factor: 4.452

8.  Sunitinib in pediatric patients with advanced gastrointestinal stromal tumor: results from a phase I/II trial.

Authors:  Arnauld C Verschuur; Viera Bajčiová; Leo Mascarenhas; Reza Khosravan; Xun Lin; Antonella Ingrosso; Katherine A Janeway
Journal:  Cancer Chemother Pharmacol       Date:  2019-04-20       Impact factor: 3.333

9.  Applied Concepts in PBPK Modeling: How to Build a PBPK/PD Model.

Authors:  L Kuepfer; C Niederalt; T Wendl; J-F Schlender; S Willmann; J Lippert; M Block; T Eissing; D Teutonico
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-10-19
  9 in total
  2 in total

1.  Assessment of the Utility of Physiologically-based Pharmacokinetic Model for prediction of Pharmacokinetics in Chinese and Japanese Populations.

Authors:  Yanke Yu; Jian Lin; Chieko Muto; Yinhua Li; Yuko Mori; Rajendar K Mittapalli; Susanna Tse; Jian Liu; Bei Kang Ge; Jing Liu
Journal:  Int J Med Sci       Date:  2021-09-24       Impact factor: 3.738

Review 2.  Physiologically Based Pharmacokinetic Models Are Effective Support for Pediatric Drug Development.

Authors:  Kefei Wang; Kun Jiang; Xiaoyi Wei; Yulan Li; Tiejie Wang; Yang Song
Journal:  AAPS PharmSciTech       Date:  2021-07-26       Impact factor: 3.246

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.