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Cancer Therapy: Clinical |
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. [Full Text] [PDF] |
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