Literature DB >> 12646013

Pharmacodynamic modeling of chemotherapeutic effects: application of a transit compartment model to characterize methotrexate effects in vitro.

Evelyn D Lobo1, Joseph P Balthasar.   

Abstract

The time course of chemotherapeutic effect is often delayed relative to the time course of chemotherapeutic exposure. In many cases, this delay is difficult to characterize mathematically through the use of standard pharmacodynamic models. In the present work, we investigated the relationship between methotrexate (MTX) exposure and the time course of MTX effects on tumor cell growth in culture. Two cancer cell lines, Ehrlich ascites cells and sarcoma 180 cells, were exposed for 24 hours to MTX concentrations that varied more than 700-fold (0.19-140 micro g/mL). Viable cells were counted on days 1, 3, 5, 7, 9, 11, 13, 15, 17, 20, 22, and 24 for Ehrlich ascites cells and on days 1, 2, 3, 5, 7, 9, 11, 13, 14, 15, 17, 19, and 21 for sarcoma 180 cells, through the use of a tetrazolium assay. Although MTX was removed 24 hours after application, cell numbers reached nadir values more than 100 hours after MTX exposure. Data from each cell line were fitted to 3 pharmacodynamic models of chemotherapeutic cell killing: a cell cycle phase-specific model, a phase-nonspecific model, and a transit compartment model (based on the general model recently reported by Mager and Jusko, Clin Pharmacol Ther. 70:210-216, 2001). The transit compartment model captured the data much more accurately than the standard pharmacodynamic models, with correlation coefficients ranging from 0.86 to 0.999. This report shows the successful application of a transit compartment model for characterization of the complex time course of chemotherapeutic effects; such models may be very useful in the development of optimization strategies for cancer chemotherapy.

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Year:  2002        PMID: 12646013      PMCID: PMC2751331          DOI: 10.1208/ps040442

Source DB:  PubMed          Journal:  AAPS PharmSci        ISSN: 1522-1059


  26 in total

Review 1.  Pharmacodynamic modeling of time-dependent transduction systems.

Authors:  D E Mager; W J Jusko
Journal:  Clin Pharmacol Ther       Date:  2001-09       Impact factor: 6.875

2.  Population pharmacokinetics/toxicodynamics (PK/TD) relationship of SAM486A in phase I studies in patients with advanced cancers.

Authors:  H Zhou; L Choi; H Lau; U Bruntsch; E E Vries; G Eckhardt; A T Oosterom; J Verweij; H Schran; N Barbet; R Linnartz; R Capdeville
Journal:  J Clin Pharmacol       Date:  2000-03       Impact factor: 3.126

3.  Model for time dependency of cytotoxic effect of CHS 828 in vitro suggests two different mechanisms of action.

Authors:  S B Hassan; E Jonsson; R Larsson; M O Karlsson
Journal:  J Pharmacol Exp Ther       Date:  2001-12       Impact factor: 4.030

4.  Pharmacodynamics of chemotherapeutic effects: dose-time-response relationships for phase-nonspecific agents.

Authors:  W J Jusko
Journal:  J Pharm Sci       Date:  1971-06       Impact factor: 3.534

5.  Dose schedule and antitumor studies of arabinosyl cytosine (NSC 63878).

Authors:  E Frei; J N Bickers; J S Hewlett; M Lane; W V Leary; R W Talley
Journal:  Cancer Res       Date:  1969-07       Impact factor: 12.701

6.  Evaluation of cell-killing effects of 1-beta-D-arabinofuranosylcytosine and daunorubicin by a new computer-controlled in vitro pharmacokinetic simulation system.

Authors:  S Kishi; N Goto; T Nakamura; T Ueda
Journal:  Cancer Res       Date:  1999-06-01       Impact factor: 12.701

7.  A phase I trial of continuous infusion VP16-213 (etoposide).

Authors:  J Aisner; D A Van Echo; M Whitacre; P H Wiernik
Journal:  Cancer Chemother Pharmacol       Date:  1982       Impact factor: 3.333

8.  Simultaneous modeling of pharmacokinetics and pharmacodynamics: application to d-tubocurarine.

Authors:  L B Sheiner; D R Stanski; S Vozeh; R D Miller; J Ham
Journal:  Clin Pharmacol Ther       Date:  1979-03       Impact factor: 6.875

9.  Pharmacokinetic study of cystemustine, administered on a weekly schedule in cancer patients.

Authors:  E Cellarier; C Terret; P Labarre; R Ouabdesselam; H Curé; C Marchenay; J C Maurizis; J C Madelmont; P Cholle; J P Armand
Journal:  Ann Oncol       Date:  2002-05       Impact factor: 32.976

10.  Pharmacodynamic modeling of the entire time course of leukopenia after a 3-hour infusion of paclitaxel.

Authors:  H Minami; Y Sasaki; T Watanabe; M Ogawa
Journal:  Jpn J Cancer Res       Date:  2001-02
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  55 in total

1.  General relationship between transit compartments and lifespan models.

Authors:  Gilbert Koch; Johannes Schropp
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-06-23       Impact factor: 2.745

Review 2.  Pharmacokinetic-pharmacodynamic modelling: history and perspectives.

Authors:  Chantal Csajka; Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-01-11       Impact factor: 2.745

3.  Mechanism-based pharmacokinetic-pharmacodynamic modeling of bidirectional effect of danshensu on plasma homocysteine in rats.

Authors:  Yuancheng Chen; Yanguang Cao; Jia Zhou; Xiaoquan Liu
Journal:  Pharm Res       Date:  2009-05-07       Impact factor: 4.200

4.  Cell cycle checkpoint models for cellular pharmacology of paclitaxel and platinum drugs.

Authors:  Ardith W El-Kareh; Rachel E Labes; Timothy W Secomb
Journal:  AAPS J       Date:  2008-02-05       Impact factor: 4.009

Review 5.  Application of Pharmacokinetic-Pharmacodynamic Modeling and Simulation for Antibody-Drug Conjugate Development.

Authors:  Aman P Singh; Young G Shin; Dhaval K Shah
Journal:  Pharm Res       Date:  2015-02-11       Impact factor: 4.200

6.  Biomarker- versus drug-driven tumor growth inhibition models: an equivalence analysis.

Authors:  Maria Luisa Sardu; Italo Poggesi; Giuseppe De Nicolao
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-07-26       Impact factor: 2.745

7.  Model-based assessment of erlotinib effect in vitro measured by real-time cell analysis.

Authors:  Stephan Benay; Christophe Meille; Stefan Kustermann; Isabelle Walter; Antje Walz; P Alexis Gonsard; Elina Pietilae; Nicole Kratochwil; Athanassios Iliadis; Adrian Roth; Thierry Lave
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-03-31       Impact factor: 2.745

8.  Chemotherapeutic dosing implicated by pharmacodynamic modeling of in vitro cytotoxic data: a case study of paclitaxel.

Authors:  Hua He; Yanguang Cao
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-08-31       Impact factor: 2.745

9.  Translational pharmacokinetic-pharmacodynamic modeling from nonclinical to clinical development: a case study of anticancer drug, crizotinib.

Authors:  Shinji Yamazaki
Journal:  AAPS J       Date:  2012-12-19       Impact factor: 4.009

10.  Comparison of two pharmacodynamic transduction models for the analysis of tumor therapeutic responses in model systems.

Authors:  Jun Yang; Donald E Mager; Robert M Straubinger
Journal:  AAPS J       Date:  2009-11-10       Impact factor: 4.009

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