Literature DB >> 16946998

A semi-physiological population pharmacokinetic model describing the non-linear disposition of indisulam.

Anthe S Zandvliet1, Jan H M Schellens, William Copalu, Jos H Beijnen, Alwin D R Huitema.   

Abstract

The pharmacokinetic profile of the anti-cancer agent indisulam is non-linear. In addition to non-linear clearance, this may partially be explained by saturable distribution to red blood cells and saturable plasma protein binding. The aims of this study were to develop a semi-physiological population pharmacokinetic model of indisulam and to examine the impact of protein binding and distribution to red blood cells. Indisulam concentrations in plasma, plasma ultrafiltrate and in red blood cells from multiple phase I studies in Caucasian and Japanese patients were used to develop a pharmacokinetic model using NONMEM. This model comprised four physiological compartments: plasma, red blood cells, interstitial fluid and tissue. A simulation study was performed to examine the contribution of physiological processes in indisulam pharmacokinetics. Plasma albumin concentrations were predictive for the maximal protein binding capacity and considerably influenced total plasma concentrations of indisulam, whereas free plasma concentrations remained relatively unaffected. The maximal specific red blood cell binding capacity was 64.0 ( +/-5.9) mg/L and corresponded to the typical red blood cell carbonic anhydrase concentration. Simulation studies demonstrated that the hematocrit does not have a clinically relevant impact on indisulam disposition. This semi-physiological model allowed adequate prediction of the time profiles of indisulam concentrations in all monitored compartments for a large range of dose levels and several treatment regimens. The model has elucidated the mechanism and the role of saturable plasma protein binding and saturable distribution to red blood cells in indisulam pharmacokinetics and provides a basis for rationale PK-PD relationships.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16946998     DOI: 10.1007/s10928-006-9021-5

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  24 in total

1.  Population modelling in drug development.

Authors:  L Sheiner; J Wakefield
Journal:  Stat Methods Med Res       Date:  1999-09       Impact factor: 3.021

2.  The use of surface area as a basis for establishing normal blood volume.

Authors:  R J BAKER; D D KOZOLL; K A MEYER
Journal:  Surg Gynecol Obstet       Date:  1957-02

3.  The enzyme-inhibitor approach to cell-selective labelling--I. Sulphonamide inhibitors of carbonic anhydrase as carriers for red cell labelling: in vitro uptake of pIBS by human red blood cells.

Authors:  J Singh; P Wyeth
Journal:  Int J Rad Appl Instrum A       Date:  1991

4.  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

5.  Saturable binding of indisulam to plasma proteins and distribution to human erythrocytes.

Authors:  Anthe S Zandvliet; William Copalu; Jan H M Schellens; Jos H Beijnen; Alwin D R Huitema
Journal:  Drug Metab Dispos       Date:  2006-03-24       Impact factor: 3.922

Review 6.  Interstitial-lymphatic mechanisms in the control of extracellular fluid volume.

Authors:  K Aukland; R K Reed
Journal:  Physiol Rev       Date:  1993-01       Impact factor: 37.312

7.  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 8.  Clinical relevance of genetic polymorphisms in the human CYP2C subfamily.

Authors:  J A Goldstein
Journal:  Br J Clin Pharmacol       Date:  2001-10       Impact factor: 4.335

9.  Phase I pharmacokinetic and pharmacogenomic study of E7070 administered once every 21 days.

Authors:  Yasuhide Yamada; Noboru Yamamoto; Tatsu Shimoyama; Atsushi Horiike; Yasuhito Fujisaka; Kyoko Takayama; Terumi Sakamoto; Yuki Nishioka; Sanae Yasuda; Tomohide Tamura
Journal:  Cancer Sci       Date:  2005-10       Impact factor: 6.716

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

View more
  8 in total

Review 1.  Covariate pharmacokinetic model building in oncology and its potential clinical relevance.

Authors:  Markus Joerger
Journal:  AAPS J       Date:  2012-01-25       Impact factor: 4.009

Review 2.  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

3.  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

4.  Covariate-based dose individualization of the cytotoxic drug indisulam to reduce the risk of severe myelosuppression.

Authors:  Anthe S Zandvliet; Jan H M Schellens; William Copalu; Jos H Beijnen; Alwin D R Huitema
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-02-07       Impact factor: 2.745

5.  Incorporation of concentration data below the limit of quantification in population pharmacokinetic analyses.

Authors:  Ron J Keizer; Robert S Jansen; Hilde Rosing; Bas Thijssen; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema
Journal:  Pharmacol Res Perspect       Date:  2015-03-25

6.  Sultiame pharmacokinetic profile in plasma and erythrocytes after single oral doses: A pilot study in healthy volunteers.

Authors:  Kim Dao; Paul Thoueille; Laurent A Decosterd; Thomas Mercier; Monia Guidi; Carine Bardinet; Sébastien Lebon; Eva Choong; Arnaud Castang; Catherine Guittet; Luc-André Granier; Thierry Buclin
Journal:  Pharmacol Res Perspect       Date:  2020-02

7.  A dose-escalation study of indisulam in combination with capecitabine (Xeloda) in patients with solid tumours.

Authors:  W S Siegel-Lakhai; A S Zandvliet; A D R Huitema; M M Tibben; G Milano; V Girre; V Diéras; A King; E Richmond; J Wanders; J H Beijnen; J H M Schellens
Journal:  Br J Cancer       Date:  2008-04-15       Impact factor: 7.640

8.  A phase I and pharmacokinetic study of indisulam in combination with carboplatin.

Authors:  C Dittrich; A S Zandvliet; M Gneist; A D R Huitema; A A J King; J Wanders
Journal:  Br J Cancer       Date:  2007-02-06       Impact factor: 7.640

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.