Literature DB >> 16465545

Population analysis of the pharmacokinetics and the haematological toxicity of the fluorouracil-epirubicin-cyclophosphamide regimen in breast cancer patients.

M Sandström1, H Lindman, P Nygren, M Johansson, J Bergh, M O Karlsson.   

Abstract

PURPOSE: The aims of the study were (a) to characterise the pharmacokinetics (PK), including inter-individual variability (IIV) and inter-occasion variability (IOV) as well as covariate relationships and (b) to characterise the relationship between the PK and the haematological toxicity of the component drugs of the fluorouracil (5-FU)-epirubicin (EPI)-cyclophosphamide (CP) regimen in breast cancer patients. PATIENTS AND METHODS: Data from 140 breast cancer patients, either within one of different studies or in routine clinical management, were included in the analyses. The patients were all treated with the fluorouracil-epirubicin-cyclophosphamide (FEC) regimen every third week for 3-12 courses, either in standard doses, i.e. 600/60/600 mg/m(2) of 5-FU, EPI and CP, respectively, or according to a dose escalation/reduction protocol (tailored dosing). PK data were available from 84 of the patients, whereas time-courses of haematological toxicity were available from 87 patients. The data analysis was carried out using mixed effects models within the NONMEM program.
RESULTS: The PK of 5-FU, EPI and 4-hydroxy-cyclophosphamide (4-OHCP), the active metabolite of CP, were described with a one-compartment model with saturable elimination, a three-compartment linear model and a two-compartment linear model, respectively. No clinical significant correlation was found between PK across drugs. The unexplained variability in clearance was found to be less within patients, between courses (inter-occasion variability, IOV) than between patients (inter-individual variability, IIV) for EPI and 5-FU. For 4-OHCP, however, the IIV diminished by approximately 45% when significant covariates were included and the final population model predicts an IIV that is equal to IOV. Significant covariates for elimination capacity parameters were serum albumin (5-FU, EPI and 4-OHCP), creatinine clearance (5-FU), bilirubin (EPI) and body surface area (BSA) (4-OHCP). Elimination capacity of 5-FU and EPI was not related to BSA and for none of the studied drugs did body weight explain the PK variability. The time-course of haematological toxicity after treatment was well described by a semi-physiological model that assumes additive haematological toxicity between CP and EPI with negligible contribution from 5-FU. The influence of G-CSF could be incorporated into the model in a mechanistic manner as shortening the maturation time to 43% of the normal duration and increasing the mitotic activity to 269% of normal activity.
CONCLUSIONS: The models presented describe the dose-concentration-toxicity relationships for the FEC therapy and may provide a basis for implementation and comparison of different individualisation strategies based on covariates, therapeutic drug monitoring and/or pharmacodynamic (PD) feedback. The PD model extends on previous semi-mechanistic models in that it also takes G-CSF administration into account.

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Year:  2006        PMID: 16465545     DOI: 10.1007/s00280-005-0140-2

Source DB:  PubMed          Journal:  Cancer Chemother Pharmacol        ISSN: 0344-5704            Impact factor:   3.333


  28 in total

1.  A simultaneous analysis of the time-course of leukocytes and neutrophils following docetaxel administration using a semi-mechanistic myelosuppression model.

Authors:  Angelica Linnea Quartino; Lena E Friberg; Mats O Karlsson
Journal:  Invest New Drugs       Date:  2010-12-14       Impact factor: 3.850

2.  Population pharmacokinetics of the BEACOPP polychemotherapy regimen in Hodgkin's lymphoma and its effect on myelotoxicity.

Authors:  Stefan Wilde; Alexander Jetter; Stephan Rietbrock; Dirk Kasel; Andreas Engert; Andreas Josting; Beate Klimm; Georg Hempel; Stefanie Reif; Ulrich Jaehde; Ute Merkel; Dagmar Busse; Matthias Schwab; Volker Diehl; Uwe Fuhr
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

3.  Semi-mechanistic model for neutropenia after high dose of chemotherapy in breast cancer patients.

Authors:  Amelia Ramon-Lopez; Ricardo Nalda-Molina; Belen Valenzuela; Juan Jose Perez-Ruixo
Journal:  Pharm Res       Date:  2009-06-02       Impact factor: 4.200

Review 4.  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

5.  Model-based approach to describe G-CSF effects in carboplatin-treated cancer patients.

Authors:  Mélanie L Pastor; Céline M Laffont; Laurence Gladieff; Antonin Schmitt; Etienne Chatelut; Didier Concordet
Journal:  Pharm Res       Date:  2013-06-26       Impact factor: 4.200

6.  Concordance between criteria for covariate model building.

Authors:  Stefanie Hennig; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-03-06       Impact factor: 2.745

7.  Population pharmacokinetic-pharmacodynamic analysis of neutropenia in cancer patients receiving PM00104 (Zalypsis(®)).

Authors:  Mario González-Sales; Belén Valenzuela; Carlos Pérez-Ruixo; Carlos Fernández Teruel; Bernardo Miguel-Lillo; Arturo Soto-Matos; Juan Jose Pérez-Ruixo
Journal:  Clin Pharmacokinet       Date:  2012-11       Impact factor: 6.447

8.  Impact of granulocyte colony-stimulating factor on FOLFIRINOX-induced neutropenia prevention: A population pharmacokinetic/pharmacodynamic approach.

Authors:  Pauline Macaire; Justine Paris; Julie Vincent; François Ghiringhelli; Leïla Bengrine-Lefevre; Antonin Schmitt
Journal:  Br J Clin Pharmacol       Date:  2020-06-05       Impact factor: 4.335

Review 9.  Effect of age on drug metabolism in women with breast cancer.

Authors:  Jasmeet C Singh; Stuart M Lichtman
Journal:  Expert Opin Drug Metab Toxicol       Date:  2015-05       Impact factor: 4.481

10.  Scaling the time-course of myelosuppression from rats to patients with a semi-physiological model.

Authors:  Lena E Friberg; Marie Sandström; Mats O Karlsson
Journal:  Invest New Drugs       Date:  2009-08-27       Impact factor: 3.850

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