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    A mathematical model for analysis of the cell cycle in human tumour

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    Author
    Basse, B.
    Baguley, B. C.
    Marshall, E. S.
    Joseph, W. R.
    van Brunt, B.
    Wake, G.
    Wall, D. J. N.
    Date
    2002
    Permanent Link
    http://hdl.handle.net/10092/11719

    The growth of human cancers is characterised by long and variable cell cycle times that are controlled by stochastic events prior to DNA replication and cell division. Treatment with radiotherapy or chemotherapy induces a complex chain of events involving reversible cell cycle arrest and cell death. In this paper we have developed a mathematical model that has the potential to describe the growth of human tumour cells and their responses to therapy. We have used the model to predict the response of cells to mitotic arrest, and have compared the results to experimental data using a human melanoma cell line exposed to the anticancer drug paclitaxel. Cells were analysed for DNA content at multiple time points by flow cytometry. An excellent correspondence was obtained between predicted and experimental data. We discuss possible extensions to the model to describe the behaviour of cell populations in vivo.

    Subjects
    human tumour cells
     
    flow cytometry
     
    cell division cycle
     
    steady state
     
    exponential growth
     
    paclitaxel
     
    Field of Research::01 - Mathematical Sciences::0102 - Applied Mathematics::010202 - Biological Mathematics
     
    Field of Research::11 - Medical and Health Sciences::1112 - Oncology and Carcinogenesis::111201 - Cancer Cell Biology
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    • Engineering: Reports [684]
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