Literature DB >> 15657794

Modelling cell death in human tumour cell lines exposed to the anticancer drug paclitaxel.

Britta Basse1, Bruce C Baguley, Elaine S Marshall, Wayne R Joseph, Bruce van Brunt, Graeme Wake, David J N Wall.   

Abstract

Most anti-cancer drugs in use today exert their effects by inducing a programmed cell death mechanism. This process, termed apoptosis, is accompanied by degradation of the DNA and produces cells with a range of DNA contents. We have previously developed a phase transition mathematical model to describe the mammalian cell division cycle in terms of cell cycle phases and the transition rates between these phases. We now extend this model here to incorporate a transition to a programmed cell death phase whereby cellular DNA is progressively degraded with time. We have utilised the technique of flow cytometry to analyse the behaviour of a melanoma cell line (NZM13) that was exposed to paclitaxel, a drug used frequently in the treatment of cancer. The flow cytometry profiles included a complex mixture of living cells whose DNA content was increasing with time and dying cells whose DNA content was decreasing with time. Application of the mathematical model enabled estimation of the rate constant for entry of mitotic cells into apoptosis (0.035 per hour) and the duration of the period of DNA degradation (51 hours). These results provide a dynamic model of the action of an anticancer drug that can be extended to improve the clinical outcome in individual cancer patients.

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Year:  2004        PMID: 15657794     DOI: 10.1007/s00285-003-0254-2

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  10 in total

Review 1.  The role of p53 in determining sensitivity to radiotherapy.

Authors:  Andrei V Gudkov; Elena A Komarova
Journal:  Nat Rev Cancer       Date:  2003-02       Impact factor: 60.716

2.  Theoretical basis for cell cycle analysis: II. Further studies on labelled mitosis wave method.

Authors:  M Takahashi
Journal:  J Theor Biol       Date:  1968-02       Impact factor: 2.691

3.  Caspase-3 activates endo-exonuclease: further evidence for a role of the nuclease in apoptosis.

Authors:  X W Meng; M J Fraser; J M Feller; J B Ziegler
Journal:  Apoptosis       Date:  2000-06       Impact factor: 4.677

4.  Radiation-induced cell cycle delays and p53 status of early passage melanoma cell lines.

Authors:  J Parmar; E S Marshall; G A Charters; K M Holdaway; A N Shelling; B C Baguley
Journal:  Oncol Res       Date:  2000       Impact factor: 5.574

Review 5.  Short-term cultures of clinical tumor material: potential contributions to oncology research.

Authors:  B C Baguley; E S Marshall; G J Finlay
Journal:  Oncol Res       Date:  1999       Impact factor: 5.574

6.  Genetic instability in colorectal cancers.

Authors:  C Lengauer; K W Kinzler; B Vogelstein
Journal:  Nature       Date:  1997-04-10       Impact factor: 49.962

7.  Comparative evaluation of several DNA binding dyes in the detection of apoptosis-associated chromatin degradation by flow cytometry.

Authors:  W G Telford; L E King; P J Fraker
Journal:  Cytometry       Date:  1992

8.  Mitotic block induced in HeLa cells by low concentrations of paclitaxel (Taxol) results in abnormal mitotic exit and apoptotic cell death.

Authors:  M A Jordan; K Wendell; S Gardiner; W B Derry; H Copp; L Wilson
Journal:  Cancer Res       Date:  1996-02-15       Impact factor: 12.701

9.  A mathematical model for analysis of the cell cycle in cell lines derived from human tumors.

Authors:  Britta Basse; Bruce C Baguley; Elaine S Marshall; Wayne R Joseph; Bruce van Brunt; Graeme Wake; David J N Wall
Journal:  J Math Biol       Date:  2003-05-15       Impact factor: 2.259

10.  Characterization of the endogenous deoxyribonuclease involved in nuclear DNA degradation during apoptosis (programmed cell death).

Authors:  M C Peitsch; B Polzar; H Stephan; T Crompton; H R MacDonald; H G Mannherz; J Tschopp
Journal:  EMBO J       Date:  1993-01       Impact factor: 11.598

  10 in total
  11 in total

1.  Analysis of radiation-induced changes to human melanoma cultures using a mathematical model.

Authors:  B Basse; W R Joseph; E S Marshall; B C Baguley
Journal:  Cell Prolif       Date:  2010-04       Impact factor: 6.831

2.  Solutions to an advanced functional partial differential equation of the pantograph type.

Authors:  Ali A Zaidi; B Van Brunt; G C Wake
Journal:  Proc Math Phys Eng Sci       Date:  2015-07-08       Impact factor: 2.704

3.  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

4.  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

5.  Structured models of cell migration incorporating molecular binding processes.

Authors:  Pia Domschke; Dumitru Trucu; Alf Gerisch; Mark A J Chaplain
Journal:  J Math Biol       Date:  2017-04-12       Impact factor: 2.259

6.  Therapeutic reactivation of mutant p53 protein by quinazoline derivatives.

Authors:  Hamish S Sutherland; In Young Hwang; Elaine S Marshall; Brent S Lindsay; William A Denny; Catherine Gilchrist; Wayne R Joseph; Debra Greenhalgh; Emma Richardson; Philip Kestell; Angela Ding; Bruce C Baguley
Journal:  Invest New Drugs       Date:  2011-09-13       Impact factor: 3.850

7.  Integrating cell-cycle progression, drug penetration and energy metabolism to identify improved cancer therapeutic strategies.

Authors:  Raja Venkatasubramanian; Michael A Henson; Neil S Forbes
Journal:  J Theor Biol       Date:  2008-02-21       Impact factor: 2.691

8.  Pharmacodynamic modelling of biomarker data in oncology.

Authors:  Robert C Jackson
Journal:  ISRN Pharmacol       Date:  2012-02-16

9.  The effect of the G1-S transition checkpoint on an age structured cell cycle model.

Authors:  Gary S Chaffey; David J B Lloyd; Anne C Skeldon; Norman F Kirkby
Journal:  PLoS One       Date:  2014-01-09       Impact factor: 3.240

10.  Cell cycle times of short-term cultures of brain cancers as predictors of survival.

Authors:  C E Furneaux; E S Marshall; K Yeoh; S J Monteith; P J Mews; C A Sansur; R J Oskouian; K J Sharples; B C Baguley
Journal:  Br J Cancer       Date:  2008-10-14       Impact factor: 7.640

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