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Modelling the Cell Cycle and Cell Movement in Multicellular Tumour Spheroids

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Abstract

This paper analyses a recent mathematical model of avascular tumour spheroid growth which accounts for both cell cycle dynamics and chemotactic driven cell movement. The model considers cells to exist in one of two compartments: proliferating and quiescent, as well as accounting for necrosis and apoptosis. One particular focus of this paper is the behaviour created when proliferating and quiescent cells have different chemotactic responses to an extracellular nutrient supply. Two very different steady-state behaviours are identified corresponding to those cases where proliferating cells move either more quickly or more slowly than quiescent cells in response to a gradient in the extracellular nutrient supply. The case where proliferating cells move more rapidly leads to the commonly accepted spheroid structure of a thin layer of proliferating cells surrounding an inner quiescent core. In the case where proliferating cells move more slowly than quiescent cells the model predicts an interesting structure of a thin layer of quiescent cells surrounding an inner core of proliferating and quiescent cells. The sensitivity of this tumour structure to the cell cycle model parameters is also discussed. In particular variations in the steady-state size of the tumour and the types of transient behaviour are explored. The model reveals interesting transient behaviour with sharply delineated regions of proliferating and quiescent cells.

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References

  • Baserga, R., Wiebel, F., 1969. The growth of tumor cells under normal and fasting conditions. In: Fry, R., Griem, M., Kirsten, W. (Eds.), Normal and Malignant Cell Growth, vol. 17 of Recent Results in Cancer Research. Springer Verlag, pp. 118–127.

  • Bonneton, C., Sibarita, J., Thiery, J., 1999. Relationship between cell migration and cell cycle during the initiation of epithelial to fibroblastoid transistion. Cell Mot. Cyto. 43, 288–295.

    Article  Google Scholar 

  • Byrne, H., Chaplain, M., 1995. Growth of nonnecrotic tumors in the presence and absence of inhibitors. Math. BioSci. 130, 151–181.

    Article  MATH  Google Scholar 

  • Byrne, H., Chaplain, M., 1996. Growth of necrotic tumors in the presence and absence of inhibitors. Math. BioSci. 135, 187–216.

    Article  MATH  Google Scholar 

  • Byrne, H., Gourley, S., 1997. The role of growth factors in avascular tumour growth. Math. Comput. Modell. 26(4), 35–55.

    Article  MATH  MathSciNet  Google Scholar 

  • Dorie, M., Kallman, R., Coyne, M., 1986. Effect of cytochalasin b, nocodazole and irradiation on migration and internalization of cells and microspheres in tumor cell spheroids. Exp. Cell Res. 166, 370–378.

    Article  Google Scholar 

  • Dorie, M., Kallman, R., Rapacchietta, D., van Antwerp, D., Huang, Y., 1982. Migration and internalization of cells and polystrene microspheres in tumor cell spheroids. Exp. Cell Res. 141, 201–209.

    Article  Google Scholar 

  • Groebe, K., Mueller-Klieser, W., 1991. Distributions of oxygen, nutrient and metabolic waste concentrations in multicellular spheroids and their dependence on spheroid parameters. Eur. Biophys. J. 19, 169–181.

    Article  Google Scholar 

  • Heppner, G.H., 1984. Perspectives in cancer research: Tumour heterogeneity. Cancer Res. 44, 2259–2783.

    Google Scholar 

  • Heppner, G.H., Miller, 1989. Therapeutic implications of tumour heterogeneity. Sem. Oncol. 16, 19.

    Google Scholar 

  • Hughes, F., McCulloch, C., 1991. Quantification of chemotactic response of quiescent and proliferating fibroblasts in boyden chambers by computerassisted image analysis. J. Histochem. Cytochem. 39(2), 243–246.

    Google Scholar 

  • Jones, A., Byrne, H., Gibson, J., Dodd, J., 2000. A mathematical model of the stress induced during avascular tumour growth. J. Math. Biol. 40, 473–499.

    Article  MATH  MathSciNet  Google Scholar 

  • Karbach, U., Gerharz, C., Groebe, K., Gabbert, H., Mueller-Klieser, W., 1992. Rhabdomyosarcoma spheroids with central proliferation and differentiation. Cancer Res. 52, 474–477.

    Google Scholar 

  • Knuechel, R., Sutherland, R., 1990. Recent developments in research with human tumor spheroids. Cancer J. 3(5), 234–243.

    Google Scholar 

  • Kunz-Schugart, L., Groebe, K., Mueller-Klieser, W., 1996. Three-dimensional cell culture induces novel proliferative and metabolic alterations associated with oncogenic transformation. Int. J. Cancer 66, 578–586.

    Article  Google Scholar 

  • Mueller-Klieser, W., 1984. Method for the determination of oxygen consumption rates and diffusion coefficients in multicellular spheroids. Biophys. J. 46, 343–348.

    Google Scholar 

  • Mueller-Klieser, W., 1997. Three-dimensional cell cultures: From molecular mechanisms to clinical applications. Am. J. Physiol. 273:4(1), 1109–1123.

    Google Scholar 

  • Palka, J., Adelmann-Grill, B., Francz, P., Bayreuther, K., 1996. Differentiation stage and cell cycle position determine the chemotactic response of fibroblasts. Folia Histochem. Cytobiol. 34(3–4), 121–127.

    Google Scholar 

  • Pettet, G., Please, C., Tindall, M., McElwain, D., 2001. The migration of cells in multicell tumor spheroids. Bull. Math. Biol. 63(2), 231–257.

    Article  Google Scholar 

  • Please, C., Pettet, G., McElwain, D., 1998. A new approach to modelling the formation of necrotic regions in tumours. Appl. Math. Lett. 11(3), 89–94.

    Article  MATH  MathSciNet  Google Scholar 

  • Sherratt, J., Chaplain, M. (2001). A new mathematical model for avascular tumour growth. J. Math. Biol. 43, 291–312.

    Article  MATH  MathSciNet  Google Scholar 

  • Sutherland, R., 1988. Cell and environment interactions in tumor microregions: The multicell spheroid model. Sci. 240, 177–184.

    Article  Google Scholar 

  • Tindall, M., 2002. Modelling cell movement and the cell cycle in multicellular tumour spheroids. PhD thesis, University of Southampton.

  • Toro, E., 1989. A weighted average flux method for hyperbolic conservation laws. Proc. R. Soc. Lond. A 423, 401–418.

    Article  MATH  Google Scholar 

  • Toro, E., 1999. Riemann Solvers and Numerical Methods for Fluid Dynamics. Springer Verlag, 2nd edition.

  • Tubiana, M., 1971. The kinetics of tumour cell proliferation and radiotherapy. Br. J. Radiol. 44, 325–347.

    Article  Google Scholar 

  • Ward, J., King, J., 1997. Mathematical modelling of avascular tumour growth. IMA J. Math. Appl. Med. Biol. 14(1), 39–69.

    MATH  MathSciNet  Google Scholar 

  • Ward, J., King, J., 1998. Mathematical modelling of avascular-tumour growth ii: Modelling growth saturation. IMA J. Math. Appl. Med. Biol. 15, 1–42.

    Google Scholar 

  • Ward, J., King, J., 2003. Mathematical modelling of drug transport in tumour multicell spheroids and monolayer cultures. Math. BioSci. 181, 177–207.

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to M. J. Tindall.

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Tindall, M.J., Please, C.P. Modelling the Cell Cycle and Cell Movement in Multicellular Tumour Spheroids. Bull. Math. Biol. 69, 1147–1165 (2007). https://doi.org/10.1007/s11538-006-9110-z

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