Literature DB >> 11259801

A mathematical model of in vitro cancer cell growth and treatment with the antimitotic agent curacin A.

F Kozusko1, P Chen, S G Grant, B W Day, J C Panetta.   

Abstract

A mathematical model of cancer cell growth and response to treatment with the experimental antimitotic agent curacin A is presented. Rate parameters for the untreated growth of MCF-7/LY2 breast cancer and A2780 ovarian cell lines are determined from in vitro growth studies. Subsequent growth studies following treatments with 2.5, 25 and 50 nanomolar (nM), concentrations of curacin A are used to determine effects on the cell cycle and cell viability. The model's system of ordinary differential equations yields an approximate analytical solution which predicts the minimum concentration necessary to prevent growth. The model shows that cell growth is arrested when the apoptotic rate is greater than the mitotic rate and that the S-phase transition rate acts to amplify this effect. Analysis of the data suggests that curacin A is rapidly absorbed into both cell lines causing an increase in the S-phase transition and a decrease in the M-phase transition. The model also indicates that the rate of apoptosis remains virtually constant for MCF-7/LY2 while that of A2780 increases 38% at 2.5 nM and 59% at 50 nM as compared to the untreated apoptotic rate.

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Year:  2001        PMID: 11259801     DOI: 10.1016/s0025-5564(00)00065-1

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  10 in total

1.  Pharmacodynamic modeling of cell cycle and apoptotic effects of gemcitabine on pancreatic adenocarcinoma cells.

Authors:  Salaheldin S Hamed; Robert M Straubinger; William J Jusko
Journal:  Cancer Chemother Pharmacol       Date:  2013-07-09       Impact factor: 3.333

2.  Mathematical modeling to distinguish cell cycle arrest and cell killing in chemotherapeutic concentration response curves.

Authors:  Salaheldin S Hamed; Charles M Roth
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-04-27       Impact factor: 2.745

3.  Implications of a simple mathematical model to cancer cell population dynamics.

Authors:  A L Garner; Y Y Lau; D W Jordan; M D Uhler; R M Gilgenbach
Journal:  Cell Prolif       Date:  2006-02       Impact factor: 6.831

Review 4.  Mathematical modeling as a tool for planning anticancer therapy.

Authors:  Andrzej Swierniak; Marek Kimmel; Jaroslaw Smieja
Journal:  Eur J Pharmacol       Date:  2009-10-13       Impact factor: 4.432

5.  Mechanistic mathematical modelling of mercaptopurine effects on cell cycle of human acute lymphoblastic leukaemia cells.

Authors:  J C Panetta; W E Evans; M H Cheok
Journal:  Br J Cancer       Date:  2006-01-16       Impact factor: 7.640

6.  Towards an integrated systems-based modelling framework for drug transport and its effect on tumour cells.

Authors:  Cong Liu; Xiao Yun Xu
Journal:  J Biol Eng       Date:  2014-01-13       Impact factor: 4.355

7.  Exposure time independent summary statistics for assessment of drug dependent cell line growth inhibition.

Authors:  Steffen Falgreen; Maria Bach Laursen; Julie Støve Bødker; Malene Krag Kjeldsen; Alexander Schmitz; Mette Nyegaard; Hans Erik Johnsen; Karen Dybkær; Martin Bøgsted
Journal:  BMC Bioinformatics       Date:  2014-06-05       Impact factor: 3.169

8.  Lifespan based pharmacokinetic-pharmacodynamic model of tumor growth inhibition by anticancer therapeutics.

Authors:  Gary Mo; Frank Gibbons; Patricia Schroeder; Wojciech Krzyzanski
Journal:  PLoS One       Date:  2014-10-21       Impact factor: 3.240

9.  Pharmacodynamic Modeling of Cell Cycle Effects for Gemcitabine and Trabectedin Combinations in Pancreatic Cancer Cells.

Authors:  Xin Miao; Gilbert Koch; Sihem Ait-Oudhia; Robert M Straubinger; William J Jusko
Journal:  Front Pharmacol       Date:  2016-11-15       Impact factor: 5.810

Review 10.  Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology.

Authors:  Anum S Kazerouni; Manasa Gadde; Andrea Gardner; David A Hormuth; Angela M Jarrett; Kaitlyn E Johnson; Ernesto A B F Lima; Guillermo Lorenzo; Caleb Phillips; Amy Brock; Thomas E Yankeelov
Journal:  iScience       Date:  2020-11-13
  10 in total

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