Literature DB >> 14613983

The importance of pharmacokinetic limited sampling models for childhood cancer drug development.

J Carl Panetta1, Lisa C Iacono, Peter C Adamson, Clinton F Stewart.   

Abstract

Since the development of effective chemotherapy for children with cancer, it has been recognized that the response of children to apparently identical therapy, both in terms of efficacy and toxicity, can vary widely. Our understanding of the interindividual differences in drug metabolism and disposition as significant determinants of drug response continues to evolve. An increasing area of clinical investigation is focused on studies to gain a better understanding of the variability in critical drug metabolic and elimination pathways and how this variability translates into varied pharmacological effects. Analyzing how drug metabolism and elimination are affected by patient characteristics such as age, sex, race, organ function, drug interactions, and, perhaps most importantly, genetic polymorphisms, is now a routine component of drug development studies. Recent advances in analytical methodologies, computer hardware, and pharmacokinetic software have improved our ability to conduct studies of the disposition of anticancer drugs in larger, more representative pediatric cancer populations. Along with advances in pharmacogenetics, the advances made in the conduct of pharmacokinetic studies in children with cancer have enabled establishment of sophisticated phenotype-genotype correlations, which may ultimately improve care. However, unique challenges and limitations remain that complicate the performance of pharmacokinetic studies in the child with cancer. This review addresses the need to perform pharmacokinetic studies throughout the drug development process in pediatric oncology patients, methods used to develop and validate limited sampling models, and selected examples of limited sampling models used in pharmacokinetic studies in children with cancer.

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Year:  2003        PMID: 14613983

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  8 in total

Review 1.  Population pharmacokinetic studies in pediatrics: issues in design and analysis.

Authors:  Bernd Meibohm; Stephanie Läer; John C Panetta; Jeffrey S Barrett
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

2.  Model-based drug development: the road to quantitative pharmacology.

Authors:  Liping Zhang; Vikram Sinha; S Thomas Forgue; Sophie Callies; Lan Ni; Richard Peck; Sandra R B Allerheiligen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-06-13       Impact factor: 2.745

3.  Reversing the myths obstructing the determination of optimal age- and disease-based drug dosing in pediatrics.

Authors:  Michael D Reed
Journal:  J Pediatr Pharmacol Ther       Date:  2011-01

Review 4.  Challenges and opportunities in childhood cancer drug development.

Authors:  Robin E Norris; Peter C Adamson
Journal:  Nat Rev Cancer       Date:  2012-10-11       Impact factor: 60.716

5.  Determining success rates of the current pharmacokinetically guided dosing approach of topotecan in pediatric oncology patients.

Authors:  Anna Birg Mitchell; Aksana Vasilyeva; Amar Gajjar; Victor M Santana; Clinton F Stewart
Journal:  Pediatr Blood Cancer       Date:  2018-12-11       Impact factor: 3.167

6.  Population pharmacokinetics of cyclophosphamide and metabolites in children with neuroblastoma: a report from the Children's Oncology Group.

Authors:  Jeannine S McCune; David H Salinger; Paolo Vicini; Celeste Oglesby; David K Blough; Julie R Park
Journal:  J Clin Pharmacol       Date:  2008-10-16       Impact factor: 3.126

7.  Optimal Sampling Strategies for Irinotecan (CPT-11) and its Active Metabolite (SN-38) in Cancer Patients.

Authors:  Spinel Karas; Amy S Etheridge; Eleftheria Tsakalozou; Jacqueline Ramírez; Erika Cecchin; Ron H N van Schaik; Giuseppe Toffoli; Mark J Ratain; Ron H J Mathijssen; Alan Forrest; Robert R Bies; Federico Innocenti
Journal:  AAPS J       Date:  2020-03-17       Impact factor: 4.009

Review 8.  A systematic review of limited sampling strategies for platinum agents used in cancer chemotherapy.

Authors:  Gabriel W Loh; Lillian S L Ting; Mary H H Ensom
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

  8 in total

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