Literature DB >> 15868378

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

Charlotte van Kesteren1, 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.   

Abstract

Indisulam (N-(3-chloro-7-indolyl)-1,4-benzenedisulfonamide, GOAL, E7070) is a novel anti-cancer drug currently in phase II clinical development for the treatment of solid tumors. Phase I dose-escalation studies were conducted comparing four treatment schedules. Neutropenia and thrombocytopenia were dose limiting in all schedules. The aim of this study was to describe the extent and the time course of the hematological toxicity and its possible schedule dependency using a semi-physiological model. Data from 142 patients were analyzed using NONMEM. The semi-physiological model comprised a progenitor blood cell compartment, linked to the central circulation compartment, through 3 transition compartments representing the maturation chain in the bone marrow. Plasma concentrations of the drug were assumed to reduce the proliferation rate in the progenitor compartment according to a linear function. A feedback mechanism was included in the model representing the rebound effect of endogenous growth factors. The model was validated using a posterior predictive check. The model adequately described the extent and time course of neutropenia and thrombocytopenia. The mean transition time (MTT, i.e. maturation time in bone marrow) of neutrophils was increased by 47% in patients who received indisulam as a weekly dose administered for four out of every six weeks. For platelets, MTT was increased by 33% in patients who received this schedule and also in patients who received a continuous 120-h infusion. The validation procedure indicated that the model adequately predicts the nadir value of neutrophils and platelets and the time to reach this nadir. A semi-physiological model was successfully applied to describe the time course and extent of the neutropenia and thrombocytopenia after indisulam administration for four treatment schedules.

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Year:  2005        PMID: 15868378     DOI: 10.1007/s10637-005-6730-3

Source DB:  PubMed          Journal:  Invest New Drugs        ISSN: 0167-6997            Impact factor:   3.850


  22 in total

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4.  Models of schedule dependent haematological toxicity of 2'-deoxy-2'-methylidenecytidine (DMDC).

Authors:  L E Friberg; C J Brindley; M O Karlsson; A J Devlin
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Authors:  L E Friberg; A Freijs; M Sandström; M O Karlsson
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Authors:  C J Punt; P Fumoleau; B van de Walle; M N Faber; M Ravic; M Campone
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Authors:  Y Yano; S L Beal; L B Sheiner
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8.  Phase I clinical and pharmacokinetic study of E7070, a novel sulfonamide given as a 5-day continuous infusion repeated every 3 weeks in patients with solid tumours. A study by the EORTC Early Clinical Study Group (ECSG).

Authors:  C Terret; S Zanetta; H Roché; J H M Schellens; M N Faber; J Wanders; M Ravic; J P Droz
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9.  A population model for the leukopenic effect of etoposide.

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

Authors:  Ch Van Kesteren; 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
Journal:  J Clin Oncol       Date:  2002-10-01       Impact factor: 44.544

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  27 in total

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Review 2.  Bringing Model-Based Prediction to Oncology Clinical Practice: A Review of Pharmacometrics Principles and Applications.

Authors:  Núria Buil-Bruna; José-María López-Picazo; Salvador Martín-Algarra; Iñaki F Trocóniz
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3.  A semi-physiological population pharmacokinetic model describing the non-linear disposition of indisulam.

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 4.  Are population pharmacokinetic and/or pharmacodynamic models adequately evaluated? A survey of the literature from 2002 to 2004.

Authors:  Karl Brendel; Céline Dartois; Emmanuelle Comets; Annabelle Lemenuel-Diot; Christian Laveille; Brigitte Tranchand; Pascal Girard; Céline M Laffont; France Mentré
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5.  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 6.  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
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7.  Population pharmacokinetic and pharmacodynamic analysis to support treatment optimization of combination chemotherapy with indisulam and carboplatin.

Authors:  Anthe S Zandvliet; Jan H M Schellens; Christian Dittrich; Jantien Wanders; Jos H Beijnen; Alwin D R Huitema
Journal:  Br J Clin Pharmacol       Date:  2008-05-29       Impact factor: 4.335

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

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Journal:  Invest New Drugs       Date:  2010-05-07       Impact factor: 3.850

9.  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

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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