Literature DB >> 12351604

Population pharmacokinetics of the novel anticancer agent E7070 during four phase I studies: model building and validation.

Ch Van Kesteren1, R A A Mathôt, E Raymond, J P Armand, Ch Dittrich, H Dumez, H Roché, J P Droz, C Punt, M Ravic, J Wanders, J H Beijnen, P Fumoleau, J H M Schellens.   

Abstract

PURPOSE: N-(3-Chloro-7-indolyl)-1,4-benzenedisulfonamide (E7070) is a novel sulfonamide anticancer agent currently in phase II clinical development for the treatment of solid tumors. Four phase I studies have been finalized, with E7070 administered at four different treatment schedules to identify the maximum-tolerated dose and the dose-limiting toxicities. Pharmacokinetic analyses of all studies revealed E7070 to have nonlinear pharmacokinetics. A population pharmacokinetic model was designed and validated to describe the pharmacokinetics of E7070 at all four treatment schedules and to identify the possible influences of patient characteristics on the pharmacokinetic parameters. PATIENTS AND METHODS: Plasma concentration-time data of all patients (n = 143) were fitted to several pharmacokinetic models using NONMEM. Seventeen covariables were investigated for their relation with individual pharmacokinetic parameters. A bootstrap procedure was performed to check the validity of the model.
RESULTS: The data were best described using a three-compartment model with nonlinear distribution to a peripheral compartment and two parallel pathways of elimination from the central compartment: a linear and a saturable pathway. Body-surface area (BSA) was significantly correlated to both the volume of distribution of the central compartment and to the maximal elimination capacity. The fits of 500 bootstrap replicates of the data set demonstrated the robustness of the developed population pharmacokinetic model.
CONCLUSION: A population pharmacokinetic model has been designed and validated that accurately describes the data of four phase I studies with E7070. Furthermore, it has been demonstrated that BSA-guided dosing for E7070 is important.

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Year:  2002        PMID: 12351604     DOI: 10.1200/JCO.2002.01.005

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  17 in total

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Authors:  Anthe S Zandvliet; Jan H M Schellens; William Copalu; Jos H Beijnen; Alwin D R Huitema
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-09-01       Impact factor: 2.745

Review 2.  Overview of model-building strategies in population PK/PD analyses: 2002-2004 literature survey.

Authors:  C Dartois; K Brendel; E Comets; C M Laffont; C Laveille; B Tranchand; F Mentré; A Lemenuel-Diot; P Girard
Journal:  Br J Clin Pharmacol       Date:  2007-08-15       Impact factor: 4.335

Review 3.  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

4.  Predictive ability of a semi-mechanistic model for neutropenia in the development of novel anti-cancer agents: two case studies.

Authors:  Elena Soto; Ron J Keizer; Iñaki F Trocóniz; Alwin D R Huitema; Jos H Beijnen; Jan H M Schellens; Jantien Wanders; Josep María Cendrós; Rosendo Obach; Concepción Peraire; Lena E Friberg; Mats O Karlsson
Journal:  Invest New Drugs       Date:  2010-05-07       Impact factor: 3.850

5.  Human metabolism of [(14)C]indisulam following i.v. infusion in cancer patients.

Authors:  Jan-Hendrik Beumer; Michel J X Hillebrand; Dick Pluim; Hilde Rosing; Karen Foley; S Murray Yule; Jan H M Schellens; Jos H Beijnen
Journal:  Invest New Drugs       Date:  2005-08       Impact factor: 3.850

6.  Semi-physiological model describing the hematological toxicity of the anti-cancer agent indisulam.

Authors:  Charlotte van Kesteren; Anthe S Zandvliet; Mats O Karlsson; Ron A A Mathôt; Cornelis J A Punt; Jean-Pierre Armand; Eric Raymond; Alwin D R Huitema; Christian Dittrich; Herlinde Dumez; Henri H Roché; Jean-Pierre Droz; Miroslav Ravic; S Murray Yule; Jantien Wanders; Jos H Beijnen; Pierre Fumoleau; Jan H M Schellens
Journal:  Invest New Drugs       Date:  2005-06       Impact factor: 3.850

Review 7.  Array of translational systems pharmacodynamic models of anti-cancer drugs.

Authors:  Sihem Ait-Oudhia; Donald E Mager
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-10-22       Impact factor: 2.745

8.  Final results of a phase 2, open-label study of indisulam, idarubicin, and cytarabine in patients with relapsed or refractory acute myeloid leukemia and high-risk myelodysplastic syndrome.

Authors:  Rita Assi; Hagop M Kantarjian; Tapan M Kadia; Naveen Pemmaraju; Elias Jabbour; Nitin Jain; Naval Daver; Zeev Estrov; Taisuke Uehara; Takashi Owa; Jorge E Cortes; Gautam Borthakur
Journal:  Cancer       Date:  2018-04-16       Impact factor: 6.860

9.  Population pharmacokinetics of rosuvastatin in pediatric patients with heterozygous familial hypercholesterolemia.

Authors:  Merran Macpherson; Bengt Hamrén; Marjet J A M Braamskamp; John J P Kastelein; Torbjörn Lundström; Paul D Martin
Journal:  Eur J Clin Pharmacol       Date:  2015-09-21       Impact factor: 2.953

10.  Pharmacokinetic drug-drug interaction of the novel anticancer agent E7070 and acenocoumarol.

Authors:  H J G Desirée van den Bongard; Rolf W Sparidans; David J P Critchley; Jos H Beijnen; Jan H M Schellens
Journal:  Invest New Drugs       Date:  2004-04       Impact factor: 3.850

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