Literature DB >> 12736110

Population pharmacokinetic modelling of unbound and total plasma concentrations of paclitaxel in cancer patients.

A Henningsson1, A Sparreboom, M Sandström, A Freijs, R Larsson, J Bergh, P Nygren, M O Karlsson.   

Abstract

The aim of this study was to validate and further develop a mechanism-based population pharmacokinetic model for paclitaxel (Taxol; Bristol-Myers Squibb Co, Princeton, NJ, USA) based on the knowledge of Cremophor EL (CrEL) micelle entrapment and to evaluate the exposure/toxicity relationships. Paclitaxel (total and unbound) and CrEL concentrations were obtained according to a sparse sampling scheme with on average only 3.5 samples per course from 45 patients with solid tumours who received 3-hour infusions of paclitaxel (final dose range 112-233 mg/m(2)). The present data were predicted well by the mechanism-based model. In addition, bilirubin and body size were found to be significant as covariates. A change in body surface area (BSA) of 0.1 m(2) typically caused a change in clearance (CL) of 22.3 l/h and an increase in bilirubin of 10 microM typically caused a decrease in CL of 41 l/h. Toxicity was best described by a threshold model. In conclusion, even with a sparse sampling scheme, the same mechanism-based binding components as in the previously developed model could be identified. Once the CrEL and total paclitaxel plasma concentrations are known, the unbound concentrations, which are more closely related to the haematological toxicity, can be predicted.

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Year:  2003        PMID: 12736110     DOI: 10.1016/s0959-8049(03)00126-6

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  22 in total

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Review 2.  Population pharmacokinetics and pharmacodynamics for treatment optimization in clinical oncology.

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Review 3.  Clinical Pharmacokinetics of Paclitaxel Monotherapy: An Updated Literature Review.

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

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Journal:  Clin Pharmacokinet       Date:  2012-09-01       Impact factor: 6.447

5.  Growth Hormone differentially modulates chemoresistance in human endometrial adenocarcinoma cell lines.

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6.  Model-Based Adaptive Optimal Design (MBAOD) Improves Combination Dose Finding Designs: an Example in Oncology.

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7.  Population pharmacokinetics of cabazitaxel in patients with advanced solid tumors.

Authors:  Géraldine M Ferron; Yang Dai; Dorothée Semiond
Journal:  Cancer Chemother Pharmacol       Date:  2013-01-09       Impact factor: 3.333

8.  CYP2C8*3 increases risk of neuropathy in breast cancer patients treated with paclitaxel.

Authors:  D L Hertz; S Roy; A A Motsinger-Reif; A Drobish; L S Clark; H L McLeod; L A Carey; E C Dees
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9.  Pharmacokinetic modelling of the plasma protein binding of mycophenolic acid in renal transplant recipients.

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Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

10.  Differential activity of caspase-3 regulates susceptibility of lung and breast tumor cell lines to Paclitaxel.

Authors:  Charles Amoatey Odonkor; Samuel Achilefu
Journal:  Open Biochem J       Date:  2008-09-27
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