Literature DB >> 12011819

Population pharmacokinetic and adverse event analysis of topotecan in patients with solid tumors.

Diane R Mould1, Nicholas H G Holford, Jan H M Schellens, Jos H Beijnen, Paul R Hutson, Hilde Rosing, Willem W ten Bokkel Huinink, Eric K Rowinsky, Joan H Schiller, Mark Russo, Graham Ross.   

Abstract

OBJECTIVE: Our objective was to describe the pharmacokinetics and pharmacodynamics of topotecan in patients.
METHODS: Data were pooled from 9 clinical trials. Topotecan, as a single-agent therapy, was administered as a daily 30-minute intravenous infusion for 5 days on a 3-week cycle. Doses of 0.2 to 2.0 mg/m(2) were studied; concentration and neutropenic event data were obtained on multiple occasions. The pharmacokinetics were characterized with use of hierarchical nonlinear regression. The relationship between severity of neutropenia and exposure was characterized with use of logistic regression.
RESULTS: The pharmacokinetics of topotecan were described with a linear 2-compartment model. Compromised renal function, low body weight, and poor Eastern Cooperative Oncology Group performance status were determinants of lower clearance, resulting in elevated exposure. Application of covariates reduced interpatient variability in clearance. Logistic regression showed that topotecan area under the concentration-time curve from 0 to 24 hours was predictive of the severity of neutropenia; the only other significant covariate was the number of courses of previous treatment with platinum-based regimens.
CONCLUSIONS: Patients with compromised renal function, low body weight, or poor performance status had low topotecan clearance. Patients with high topotecan AUC had an increased probability of experiencing severe neutropenia, which was greater if the patient had been pretreated with platinum-based agents. The use of covariates to individualize dose would result in less variability in exposure, reducing the likelihood of severe neutropenia and potentially improving treatment benefit.

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Year:  2002        PMID: 12011819     DOI: 10.1067/mcp.2002.123553

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  34 in total

1.  Models for time-varying covariates in population pharmacokinetic-pharmacodynamic analysis.

Authors:  Ulrika Wählby; Alison H Thomson; Peter A Milligan; Mats O Karlsson
Journal:  Br J Clin Pharmacol       Date:  2004-10       Impact factor: 4.335

2.  Evaluation of type I error rates when modeling ordered categorical data in NONMEM.

Authors:  Ulrika Wählby; Katalin Matolcsi; Mats O Karlsson; E Niclas Jonsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-02       Impact factor: 2.745

3.  Population pharmacokinetics of metformin in obese and non-obese patients with type 2 diabetes mellitus.

Authors:  Christophe Bardin; Estelle Nobecourt; Etienne Larger; François Chast; Jean-Marc Treluyer; Saik Urien
Journal:  Eur J Clin Pharmacol       Date:  2012-01-25       Impact factor: 2.953

Review 4.  Covariate pharmacokinetic model building in oncology and its potential clinical relevance.

Authors:  Markus Joerger
Journal:  AAPS J       Date:  2012-01-25       Impact factor: 4.009

5.  Estimating bias in population parameters for some models for repeated measures ordinal data using NONMEM and NLMIXED.

Authors:  Siv Jönsson; Maria C Kjellsson; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-08       Impact factor: 2.745

6.  The back-step method--method for obtaining unbiased population parameter estimates for ordered categorical data.

Authors:  Maria C Kjellsson; Siv Jönsson; Mats O Karlsson
Journal:  AAPS J       Date:  2004-08-11       Impact factor: 4.009

Review 7.  Population pharmacokinetics and pharmacodynamics for treatment optimization in clinical oncology.

Authors:  Anthe S Zandvliet; Jan H M Schellens; Jos H Beijnen; Alwin D R Huitema
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

8.  Population pharmacokinetic analysis of sifalimumab from a clinical phase IIb trial in systemic lupus erythematosus patients.

Authors:  Bo Zheng; Xiang-Qing Yu; Warren Greth; Gabriel J Robbie
Journal:  Br J Clin Pharmacol       Date:  2016-03-04       Impact factor: 4.335

9.  Comparison of proportional and differential odds models for mixed-effects analysis of categorical data.

Authors:  Maria C Kjellsson; Per-Henrik Zingmark; E Niclas Jonsson; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2008-09-23       Impact factor: 2.745

10.  Busulfan in infant to adult hematopoietic cell transplant recipients: a population pharmacokinetic model for initial and Bayesian dose personalization.

Authors:  Jeannine S McCune; Meagan J Bemer; Jeffrey S Barrett; K Scott Baker; Alan S Gamis; Nicholas H G Holford
Journal:  Clin Cancer Res       Date:  2013-11-11       Impact factor: 12.531

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