Literature DB >> 15073098

Bayesian pharmacokinetically guided dosing of paclitaxel in patients with non-small cell lung cancer.

Milly E de Jonge1, H J G Desirée van den Bongard, Alwin D R Huitema, Ron A A Mathôt, Hilde Rosing, Paul Baas, Nico van Zandwijk, Jos H Beijnen, Jan H M Schellens.   

Abstract

PURPOSE: Paclitaxel is a taxane derivative with a profound antitumor activity against a variety of solid tumors. In a previous clinical study in patients with non-small cell lung cancer (NSCLC) treated with paclitaxel, it was shown that paclitaxel plasma concentrations of 0.1 micro mol/liter for > or = 15 h were associated with prolonged survival. The purpose of this study was to evaluate the feasibility of Bayesian dose individualization to attain paclitaxel plasma concentrations >0.1 micromol/liter for > or = 15 h. EXPERIMENTAL
DESIGN: Patients with stage IIIb-IV NSCLC were treated with paclitaxel and carboplatin once every 3 weeks for a maximum of six courses. During the first course, a standard paclitaxel dose of 175 mg/m(2) was administered i.v. in 3 h. In subsequent courses, the paclitaxel dose was individualized based on observed paclitaxel concentrations in plasma during the previous course(s) using a Bayesian algorithm. The paclitaxel dose of a subsequent course was increased to the lowest dose for which the predicted time period during which the paclitaxel plasma concentration exceeds 0.1 micromol/liter was >15 h.
RESULTS: A total of 25 patients have been included in the study (92 evaluable courses). During the first course, the median time period above the threshold concentration was 16.3 h (range, 7.6-31.6 h), and was <15 h for 9 patients (36%). During subsequent individualized courses, the time period above the threshold concentration was <15 h in 23% (5 of 22), 14% (2 of 14), 23% (3 of 13), 11% (1 of 9), and 11% (1 of 9) of the patients in the second, third, fourth, fifth, and sixth course, respectively. Dose increments, ranging from 5 to 65 mg/m(2), were performed in 29 of the 67 individualized courses. Patients with increased individualized doses had similar regimen related toxicities compared with those remaining at a dose of 175 mg/m(2). Toxicity was reversible and manageable, and was mainly hematological (granulocytopenia CTC grade 3/4 in 80% of the patients). The objective response rate was 20%.
CONCLUSIONS: The results indicate that the applied pharmacokinetically guided dosing strategy for paclitaxel is safe and technically feasible. A randomized study is necessary to demonstrate whether dose individualization may result in improved activity and efficacy in patients with NSCLC.

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Year:  2004        PMID: 15073098     DOI: 10.1158/1078-0432.ccr-03-0060

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


  9 in total

Review 1.  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

2.  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

3.  Revisiting Dosing Regimen Using Pharmacokinetic/Pharmacodynamic Mathematical Modeling: Densification and Intensification of Combination Cancer Therapy.

Authors:  Christophe Meille; Dominique Barbolosi; Joseph Ciccolini; Gilles Freyer; Athanassios Iliadis
Journal:  Clin Pharmacokinet       Date:  2016-08       Impact factor: 6.447

4.  CYP2C8*3 predicts benefit/risk profile in breast cancer patients receiving neoadjuvant paclitaxel.

Authors:  Daniel L Hertz; Alison A Motsinger-Reif; Amy Drobish; Stacey J Winham; Howard L McLeod; Lisa A Carey; E Claire Dees
Journal:  Breast Cancer Res Treat       Date:  2012-04-18       Impact factor: 4.872

5.  A Bayesian dose-individualization method for warfarin.

Authors:  Daniel F B Wright; Stephen B Duffull
Journal:  Clin Pharmacokinet       Date:  2013-01       Impact factor: 6.447

6.  Pharmacokinetics and tissue distribution of PGG-paclitaxel, a novel macromolecular formulation of paclitaxel, in nu/nu mice bearing NCI-460 lung cancer xenografts.

Authors:  Xinghe Wang; Gang Zhao; Sang Van; Nan Jiang; Lei Yu; David Vera; Stephen B Howell
Journal:  Cancer Chemother Pharmacol       Date:  2009-07-11       Impact factor: 3.333

7.  How I treat hepatitis C virus infection in patients with hematologic malignancies.

Authors:  Harrys A Torres; George B McDonald
Journal:  Blood       Date:  2016-07-21       Impact factor: 22.113

8.  Pharmacogenetics, enzyme probes and therapeutic drug monitoring as potential tools for individualizing taxane therapy.

Authors:  Stefanie D Krens; Howard L McLeod; Daniel L Hertz
Journal:  Pharmacogenomics       Date:  2013-04       Impact factor: 2.533

9.  Genome-wide association study of paclitaxel and carboplatin disposition in women with epithelial ovarian cancer.

Authors:  Bo Gao; Yi Lu; Annemieke J M Nieuweboer; Hongmei Xu; Jonathan Beesley; Ingrid Boere; Anne-Joy M de Graan; Peter de Bruijn; Howard Gurney; Catherine J Kennedy; Yoke-Eng Chiew; Sharon E Johnatty; Philip Beale; Michelle Harrison; Craig Luccarini; Don Conroy; Ron H J Mathijssen; Paul R Harnett; Rosemary L Balleine; Georgia Chenevix-Trench; Stuart Macgregor; Anna de Fazio
Journal:  Sci Rep       Date:  2018-01-24       Impact factor: 4.379

  9 in total

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