Literature DB >> 16609028

Quantitative effect of gender, age, liver function, and body size on the population pharmacokinetics of Paclitaxel in patients with solid tumors.

Markus Joerger1, Alwin D R Huitema, Desiree H J G van den Bongard, Jan H M Schellens, Jos H Beijnen.   

Abstract

BACKGROUND: The aim of this study was to quantitatively assess the effect of anthropometric and biochemical variables and third-space effusions on paclitaxel pharmacokinetics in solid tumor patients.
MATERIALS AND METHODS: Plasma concentration-time data of paclitaxel were collected in patients with non-small cell lung cancer (n = 84), ovarian cancer (n = 40), and various solid tumors (n = 44), totaling 168 patients. Paclitaxel was given as a 3-hour infusion (n = 163) at doses ranging from 100 to 250 mg/m(2), or as a 24-hour infusion (n = 5) at a dose of 135 or 175 mg/m(2). Data were analyzed using nonlinear mixed-effect modeling.
RESULTS: A three-compartment model with saturable elimination and distribution was used to describe concentration-time data. Male gender and body surface area were positively correlated with maximal elimination capacity of paclitaxel (VM(EL)); patient age and total bilirubin were negatively correlated with VM(EL) (P < 0.005 for all correlations). Typically, male patients had a 20% higher VM(EL); a 0.2 m(2) increase of body surface area led to a 9% increase of VM(EL); a 10-year increase of patient age led to a 5% decrease of VM(EL); and a 10-micromol increase of total bilirubin led to a 14% decrease of VM(EL). Third-space effusions were not correlated with paclitaxel pharmacokinetics.
CONCLUSIONS: This extended retrospective population analysis showed patient gender to significantly and independently affect paclitaxel distribution and elimination. Body surface area, total bilirubin, and patient age were confirmed to affect paclitaxel elimination. This pharmacokinetic model allowed quantification of the covariate effects on the elimination of paclitaxel and may be used for covariate-adapted paclitaxel dosing.

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Year:  2006        PMID: 16609028     DOI: 10.1158/1078-0432.CCR-05-2069

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


  38 in total

1.  Performance of methods for handling missing categorical covariate data in population pharmacokinetic analyses.

Authors:  Ron J Keizer; Anthe S Zandvliet; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema
Journal:  AAPS J       Date:  2012-05-31       Impact factor: 4.009

Review 2.  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

Review 3.  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

4.  Does Older Age Lead to Higher Risk for Neutropenia in Patients Treated with Paclitaxel?

Authors:  Marie-Rose B S Crombag; Stijn L W Koolen; Sophie Wijngaard; Markus Joerger; Thomas P C Dorlo; Nielka P van Erp; Ron H J Mathijssen; Jos H Beijnen; Alwin D R Huitema
Journal:  Pharm Res       Date:  2019-10-15       Impact factor: 4.200

5.  Paclitaxel Plasma Concentration after the First Infusion Predicts Treatment-Limiting Peripheral Neuropathy.

Authors:  Daniel L Hertz; Kelley M Kidwell; Kiran Vangipuram; Feng Li; Manjunath P Pai; Monika Burness; Jennifer J Griggs; Anne F Schott; Catherine Van Poznak; Daniel F Hayes; Ellen M Lavoie Smith; N Lynn Henry
Journal:  Clin Cancer Res       Date:  2018-04-27       Impact factor: 12.531

6.  Evaluation of a pharmacology-driven dosing algorithm of 3-weekly paclitaxel using therapeutic drug monitoring: a pharmacokinetic-pharmacodynamic simulation study.

Authors:  Markus Joerger; Stefanie Kraff; Alwin D R Huitema; Gary Feiss; Berta Moritz; Jan H M Schellens; Jos H Beijnen; Ulrich Jaehde
Journal:  Clin Pharmacokinet       Date:  2012-09-01       Impact factor: 6.447

7.  Genetic variation in Charcot-Marie-Tooth genes contributes to sensitivity to paclitaxel-induced peripheral neuropathy.

Authors:  Yongzhen Chen; Fang Fang; Kelley M Kidwell; Kiran Vangipuram; Lauren A Marcath; Christina L Gersch; James M Rae; Daniel F Hayes; Ellen M Lavoie Smith; N Lynn Henry; Andreas S Beutler; Daniel L Hertz
Journal:  Pharmacogenomics       Date:  2020-07-23       Impact factor: 2.533

8.  Randomized study of individualized pharmacokinetically-guided dosing of paclitaxel compared with body-surface area dosing in Chinese patients with advanced non-small cell lung cancer.

Authors:  Jie Zhang; Fei Zhou; Huiwei Qi; Huijuan Ni; Qiong Hu; Caicun Zhou; Yunying Li; Irina Baburina; Jodi Courtney; Salvatore J Salamone
Journal:  Br J Clin Pharmacol       Date:  2019-06-14       Impact factor: 4.335

9.  Patients carrying CYP2C8*3 have shorter systemic paclitaxel exposure.

Authors:  Lauren A Marcath; Kelley M Kidwell; Adam C Robinson; Kiran Vangipuram; Monika L Burness; Jennifer J Griggs; Catherine Van Poznak; Anne F Schott; Daniel F Hayes; Norah Lynn Henry; Daniel L Hertz
Journal:  Pharmacogenomics       Date:  2018-12-06       Impact factor: 2.533

10.  Pharmacogenetic pathway analysis of docetaxel elimination.

Authors:  S D Baker; J Verweij; G A Cusatis; R H van Schaik; S Marsh; S J Orwick; R M Franke; S Hu; E G Schuetz; V Lamba; W A Messersmith; A C Wolff; M A Carducci; A Sparreboom
Journal:  Clin Pharmacol Ther       Date:  2008-05-28       Impact factor: 6.875

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