Literature DB >> 12928113

Simulation model of doxorubicin activity in islets of human breast cancer cells.

Jan Lankelma1, Rafael Fernández Luque, Henk Dekker, Herbert M Pinedo.   

Abstract

During cytotoxic chemotherapy, cancer cells are exposed to a dynamic concentration-versus-time curve. Besides the area under this curve, the shape of this curve may determine the cytotoxic effect. This report describes the concept that cell damage is determined by the molar drug accumulation history inside the tumor cells. Cell numbers of large populations of human MCF-7 cells exposed to three different doxorubicin concentration-versus-time profiles were recorded for 31 days. The drug accumulation history in the cells was calculated using cellular drug transport parameters derived from doxorubicin uptake and efflux measurements on MCF-7 cells attached to culture dishes. Recovery of the proliferation rate of a cell population after drug exposure was described using a mathematical model of cell damage. The model fitted well to the proliferation assays. It allowed for comparison of the effects of changes in doxorubicin concentration-versus-time profiles in vitro. The model was then used to predict the effect of the changes in the doxorubicin concentration profile in vivo, in tumor islets, after a bolus injection of doxorubicin. In the model doxorubicin exposure resulted in less cell damage inside the tumor islets than at the rim.

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Year:  2003        PMID: 12928113     DOI: 10.1016/s0304-4165(03)00139-9

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  8 in total

1.  A new mathematical pharmacodynamic model of clonogenic cancer cell death by doxorubicin.

Authors:  Jan Lankelma; Rafael Fernández Luque; Henk Dekker; Jaap van den Berg; Bob Kooi
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-07-18       Impact factor: 2.745

2.  Two-mechanism peak concentration model for cellular pharmacodynamics of Doxorubicin.

Authors:  Ardith W El-Kareh; Timothy W Secomb
Journal:  Neoplasia       Date:  2005-07       Impact factor: 5.715

Review 3.  Mathematical models of tumor cell proliferation: A review of the literature.

Authors:  Angela M Jarrett; Ernesto A B F Lima; David A Hormuth; Matthew T McKenna; Xinzeng Feng; David A Ekrut; Anna Claudia M Resende; Amy Brock; Thomas E Yankeelov
Journal:  Expert Rev Anticancer Ther       Date:  2018-10-22       Impact factor: 4.512

4.  Mechanistic modeling identifies drug-uptake history as predictor of tumor drug resistance and nano-carrier-mediated response.

Authors:  Jennifer Pascal; Carlee E Ashley; Zhihui Wang; Terisse A Brocato; Joseph D Butner; Eric C Carnes; Eugene J Koay; C Jeffrey Brinker; Vittorio Cristini
Journal:  ACS Nano       Date:  2013-11-11       Impact factor: 15.881

5.  Mathematical modeling of tumor therapy with oncolytic viruses: effects of parametric heterogeneity on cell dynamics.

Authors:  Georgy P Karev; Artem S Novozhilov; Eugene V Koonin
Journal:  Biol Direct       Date:  2006-10-03       Impact factor: 4.540

Review 6.  Novel in vitro and mathematical models for the prediction of chemical toxicity.

Authors:  Dominic P Williams; Rebecca Shipley; Marianne J Ellis; Steve Webb; John Ward; Iain Gardner; Stuart Creton
Journal:  Toxicol Res (Camb)       Date:  2012-09-05       Impact factor: 3.524

7.  Leveraging Mathematical Modeling to Quantify Pharmacokinetic and Pharmacodynamic Pathways: Equivalent Dose Metric.

Authors:  Matthew T McKenna; Jared A Weis; Vito Quaranta; Thomas E Yankeelov
Journal:  Front Physiol       Date:  2019-05-22       Impact factor: 4.566

8.  A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast Cancer.

Authors:  Matthew T McKenna; Jared A Weis; Stephanie L Barnes; Darren R Tyson; Michael I Miga; Vito Quaranta; Thomas E Yankeelov
Journal:  Sci Rep       Date:  2017-07-18       Impact factor: 4.379

  8 in total

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