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Mathematical Modelling of Solid Tumour Growth: Applications of Pre-pattern Formation

In: Morphogenesis and Pattern Formation in Biological Systems

Author

Listed:
  • Mark A. J. Chaplain

    (University of Dundee, The SIMBIOS Centre, Division of Mathematics)

  • Mahadevan Ganesh

    (University of New South Wales, School of Mathematics)

  • Ivan G. Graham

    (University of Bath, Department of Mathematical Sciences)

  • Georgios Lolas

    (University of Dundee, The SIMBIOS Centre, Division of Mathematics)

Abstract

The year 2002 saw both the 50th anniversary of Turing’s seminal paper on morphogenesis [33], and the 30th anniversary of Gierer and Meinhardt’s equally important paper concerning activator-inhibitor theory [9]. These two papers have had a huge influence on the application of reaction-diffusion pre-pattern theory as a mechanism to describe spatio-temporal pattern formation in many biological systems. Specific applications of the theory (to name but a few) can be found in processes in developmental biology, population biology, ecology and interacting chemical systems. It is not our intention in this chapter to discuss the range of applications — for a comprehensive account of the theory and references to the many other applications, the interested reader is referred to the books [17, 22]. Instead, here we apply reaction-diffusion pre-pattern theory to a specific problem on a spherical domain, that of a growing avascular solid tumour We also suggest actual chemicals known to be produced by tumours (autocrine growth factors) which could give rise to the pre-patterns and examine their relevance in the light of clinical and experimental observations.

Suggested Citation

  • Mark A. J. Chaplain & Mahadevan Ganesh & Ivan G. Graham & Georgios Lolas, 2003. "Mathematical Modelling of Solid Tumour Growth: Applications of Pre-pattern Formation," Springer Books, in: Toshio Sekimura & Sumihare Noji & Naoto Ueno & Philip K. Maini (ed.), Morphogenesis and Pattern Formation in Biological Systems, chapter 24, pages 283-293, Springer.
  • Handle: RePEc:spr:sprchp:978-4-431-65958-7_24
    DOI: 10.1007/978-4-431-65958-7_24
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