Literature DB >> 26936973

Physiologically Based Pharmacokinetic Modeling in Pediatric Oncology Drug Development.

Nathalie Rioux1, Nigel J Waters2.   

Abstract

Childhood cancer represents more than 100 rare and ultra-rare diseases, with an estimated 12,400 new cases diagnosed each year in the United States. As such, this much smaller patient population has led to pediatric oncology drug development lagging behind that for adult cancers. Developing drugs for pediatric malignancies also brings with it a number of unique trial design considerations, including flexible enrollment approaches, age-appropriate formulation, acceptable sampling schedules, and balancing the need for age-stratified dosing regimens, given the smaller patient populations. The regulatory landscape for pediatric pharmacotherapy has evolved with U.S. Food and Drug Administration (FDA) legislation such as the 2012 FDA Safety and Innovation Act. In parallel, regulatory authorities have recommended the application of physiologically based pharmacokinetic (PBPK) modeling, for example, in the recently issued FDA Strategic Plan for Accelerating the Development of Therapies for Pediatric Rare Diseases. PBPK modeling provides a quantitative and systems-based framework that allows the effects of intrinsic and extrinsic factors on drug exposure to be modeled in a mechanistic fashion. The application of PBPK modeling in drug development for pediatric cancers is relatively nascent, with several retrospective analyses of cytotoxic therapies, and latterly for targeted agents such as obatoclax and imatinib. More recently, we have employed PBPK modeling in a prospective manner to inform the first pediatric trials of pinometostat and tazemetostat in genetically defined populations (mixed lineage leukemia-rearranged and integrase interactor-1-deficient sarcomas, respectively). In this review, we evaluate the application of PBPK modeling in pediatric cancer drug development and discuss the important challenges that lie ahead in this field.
Copyright © 2016 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2016        PMID: 26936973     DOI: 10.1124/dmd.115.068031

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


  14 in total

Review 1.  State-of-the-Art Review on Physiologically Based Pharmacokinetic Modeling in Pediatric Drug Development.

Authors:  Venkata Yellepeddi; Joseph Rower; Xiaoxi Liu; Shaun Kumar; Jahidur Rashid; Catherine M T Sherwin
Journal:  Clin Pharmacokinet       Date:  2019-01       Impact factor: 6.447

Review 2.  Toward precision medicine in pediatric population using cytochrome P450 phenotyping approaches and physiologically based pharmacokinetic modeling.

Authors:  Gaëlle Magliocco; Frédérique Rodieux; Jules Desmeules; Caroline Flora Samer; Youssef Daali
Journal:  Pediatr Res       Date:  2019-10-10       Impact factor: 3.756

3.  Mind the Gaps: Ontogeny of Human Brain P-gp and Its Impact on Drug Toxicity.

Authors:  Jean-Marie Nicolas; Elizabeth C M de Lange
Journal:  AAPS J       Date:  2019-05-28       Impact factor: 4.009

4.  Utility of physiologically based pharmacokinetic (PBPK) modeling in oncology drug development and its accuracy: a systematic review.

Authors:  Teerachat Saeheng; Kesara Na-Bangchang; Juntra Karbwang
Journal:  Eur J Clin Pharmacol       Date:  2018-07-05       Impact factor: 2.953

Review 5.  Preclinical Pharmacokinetics and Pharmacodynamics of Pinometostat (EPZ-5676), a First-in-Class, Small Molecule S-Adenosyl Methionine Competitive Inhibitor of DOT1L.

Authors:  Nigel J Waters
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-12       Impact factor: 2.441

Review 6.  Oral drug absorption in pediatrics: the intestinal wall, its developmental changes and current tools for predictions.

Authors:  Jean-Marie Nicolas; François Bouzom; Chanteux Hugues; Anna-Lena Ungell
Journal:  Biopharm Drug Dispos       Date:  2017-02-06       Impact factor: 1.627

Review 7.  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

8.  Prediction of lisinopril pediatric dose from the reference adult dose by employing a physiologically based pharmacokinetic model.

Authors:  Memoona Rashid; Muhammad Sarfraz; Mosab Arafat; Amjad Hussain; Nasir Abbas; Muhammad Waqas Sadiq; Muhammad Fawad Rasool; Nadeem Irfan Bukhari
Journal:  BMC Pharmacol Toxicol       Date:  2020-07-29       Impact factor: 2.483

Review 9.  Accelerating Drug Development in Pediatric Oncology With the Clinical Pharmacology Storehouse.

Authors:  Mohamad Shebley; Rajeev M Menon; John P Gibbs; Nimita Dave; Su Y Kim; Patrick J Marroum
Journal:  J Clin Pharmacol       Date:  2018-12-18       Impact factor: 3.126

Review 10.  Ontogeny of Drug-Metabolizing Enzymes.

Authors:  Aarzoo Thakur; Md Masud Parvez; J Steven Leeder; Bhagwat Prasad
Journal:  Methods Mol Biol       Date:  2021
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