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Clinical Cancer Research 13, 6410, November 1, 2007. doi: 10.1158/1078-0432.CCR-07-0064
© 2007 American Association for Cancer Research

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Cancer Therapy: Clinical

Population Pharmacokinetics and Pharmacodynamics of Paclitaxel and Carboplatin in Ovarian Cancer Patients: A Study by the European Organization for Research and Treatment of Cancer-Pharmacology and Molecular Mechanisms Group and New Drug Development Group

Markus Joerger1,2, Alwin D.R. Huitema1, Dick J. Richel4, Christian Dittrich5, Nikolas Pavlidis6, Evangelos Briasoulis6, Jan B. Vermorken7, Elena Strocchi8, Andrea Martoni9, Roberto Sorio10, Henk P. Sleeboom11, Miguel A. Izquierdo12, Duncan I. Jodrell13, Hilary Calvert14, Alan V. Boddy14, Harry Hollema15, Regine Féty16, Wjf J.F. Van der Vijgh3, Georg Hempel17, Etienne Chatelut18, Mats Karlsson19, Justin Wilkins19, Brigitte Tranchand20,21,22, Ad H.G.J. Schrijvers23, Christian Twelves24, Jos H. Beijnen1,2,25 and Jan H.M. Schellens2,25

Authors' Affiliations: 1 Department of Pharmacy and Pharmacology, Slotervaart Hospital/The Netherlands Cancer Institute; 2 Department of Medical Oncology, Antoni van Leeuwenhoek Hospital/The Netherlands Cancer Institute; 3 Free University Medical Center, Amsterdam, the Netherlands; 4 Medical Spectrum Twente, Enschede, the Netherlands; 5 LBI-ACR VIEnna and ACR-ITR VIEnna, KFJ-Spital, Vienna, Austria; 6 Ioannina University Hospital, Ioannina, Greece; 7 University Hospital Antwerp, Edegem, Belgium; 8 Universita di Bologna; 9 Policlinico S. Orsola-Malpighi, Bologna, Italy; 10 National Cancer Institute, Aviano, Italy; 11 Leyenburg Hospital, Den Haag, the Netherlands; 12 Catalan Institute of Oncology, Barcelona, Spain; 13 University of Edinburgh, Edinburgh, United Kingdom; 14 Newcastle University, Newcastle upon Tyne, United Kingdom; 15 University Medical Center, Groningen, the Netherlands; 16 Centre R Gauducheau, Saint Herblain, France; 17 University of Münster, Münster, Germany; 18 Centre Claudius Regaud, Toulouse, France; 19 Uppsala University, Uppsala, Sweden; 20 Ctr Leon Berard; 21 Lyon University, Lyon, France; 22 EA3738, CTO, Faculty of Medicine Lyon Sud, Oullins, France; 23 European Organization for Research and Treatment of Cancer-New Drug Development Group, Brussels, Belgium; 24 University of Leeds, Bradford NHS Trust and Beatson Oncology Centre, Glasgow, United Kingdom; and 25 Division of Drug Toxicology, Department of Biomedical Analysis, Faculty of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands

Requests for reprints: Markus Joerger, Department of Medical Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands. Phone: 31-205129111; Fax: 31-204443920; E-mail: markus.joerger{at}kssg.ch.

Purpose: Paclitaxel and carboplatin are frequently used in advanced ovarian cancer following cytoreductive surgery. Threshold models have been used to predict paclitaxel pharmacokinetic-pharmacodynamics, whereas the time above paclitaxel plasma concentration of 0.05 to 0.2 µmol/L (tC > 0.05–0.2) predicts neutropenia. The objective of this study was to build a population pharmacokinetic-pharmacodynamic model of paclitaxel/carboplatin in ovarian cancer patients.

Experimental Design: One hundred thirty-nine ovarian cancer patients received paclitaxel (175 mg/m2) over 3 h followed by carboplatin area under the concentration-time curve 5 mg/mL*min over 30 min. Plasma concentration-time data were measured, and data were processed using nonlinear mixed-effect modeling. Semiphysiologic models with linear or sigmoidal maximum response and threshold models were adapted to the data.

Results: One hundred five patients had complete pharmacokinetic and toxicity data. In 34 patients with measurable disease, objective response rate was 76%. Neutrophil and thrombocyte counts were adequately described by an inhibitory linear response model. Paclitaxel tC > 0.05 was significantly higher in patients with a complete (91.8 h) or partial (76.3 h) response compared with patients with progressive disease (31.5 h; P = 0.02 and 0.05, respectively). Patients with paclitaxel tC > 0.05 > 61.4 h (mean value) had a longer time to disease progression compared with patients with paclitaxel tC > 0.05 < 61.4 h (89.0 versus 61.9 weeks; P = 0.05). Paclitaxel tC > 0.05 was a good predictor for severe neutropenia (P = 0.01), whereas carboplatin exposure (Cmax and area under the concentration-time curve) was the best predictor for thrombocytopenia (P < 10–4).

Conclusions: In this group of patients, paclitaxel tC > 0.05 is a good predictive marker for severe neutropenia and clinical outcome, whereas carboplatin exposure is a good predictive marker for thrombocytopenia.




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M. J. Egorin
Population Pharmacokinetc/Pharmacodynamic Modeling of Paclitaxel and Carboplatin in Ovarian Cancer
Clin. Cancer Res., April 15, 2008; 14(8): 2517 - 2517.
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