On viable therapy strategy for a mathematical spatial cancer model describing the dynamics of malignant and healthy cells

  • Received: 01 November 2013 Accepted: 29 June 2018 Published: 01 December 2014
  • MSC : 49J20.

  • A mathematical spatial cancer model of the interaction between a drug and both malignant and healthy cells is considered. It is assumed that the drug influences negative malignant cells as well as healthy ones. The mathematical model considered consists of three nonlinear parabolic partial differential equations which describe spatial dynamics of malignant cells as well as healthy ones, and of the concentration of the drug. Additionally, we assume some phase constraints for the number of the malignant and the healthy cells and for the total dose of the drug during the whole treatment process.
       We search through all the courses of treatment switching between an application of the drug with the maximum intensity (intensive therapy phase) and discontinuing administering of the drug (relaxation phase) with the objective of achieving the maximum possible therapy (survival) time. We will call the therapy a viable treatment strategy.

    Citation: Alexander S. Bratus, Svetlana Yu. Kovalenko, Elena Fimmel. On viable therapy strategy for a mathematical spatial cancer model describing the dynamics of malignant and healthy cells[J]. Mathematical Biosciences and Engineering, 2015, 12(1): 163-183. doi: 10.3934/mbe.2015.12.163

    Related Papers:

  • A mathematical spatial cancer model of the interaction between a drug and both malignant and healthy cells is considered. It is assumed that the drug influences negative malignant cells as well as healthy ones. The mathematical model considered consists of three nonlinear parabolic partial differential equations which describe spatial dynamics of malignant cells as well as healthy ones, and of the concentration of the drug. Additionally, we assume some phase constraints for the number of the malignant and the healthy cells and for the total dose of the drug during the whole treatment process.
       We search through all the courses of treatment switching between an application of the drug with the maximum intensity (intensive therapy phase) and discontinuing administering of the drug (relaxation phase) with the objective of achieving the maximum possible therapy (survival) time. We will call the therapy a viable treatment strategy.


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    [1] Discrete and Continuous Dynamical Systems- Series B, 4 (2004), 25-28.
    [2] Bulletin of Mathematical Biology, 62 (2000), 527-542.
    [3] In S.Duckett, editor, the Pathology of the Aging Human Nervous System, Lea and Febiger, Philadelphia, (1991), 210-281.
    [4] Comp. Math. and Math. Physics, 49 (2009), 1825-1836.
    [5] Comp. Math. and Math. Phys., 48 (2008), 892-911.
    [6] Diff. Equat., 46 (2010), 1571-1583.
    [7] Mathematical Biosciences, 248 (2014), 88-96.
    [8] Journ. of Opt. Theor. Appl., 159 (2013), 590-605.
    [9] Nonlinear Analysis: Real World Applications, 13 (2012), 1044-1059.
    [10] Journal of Neuropathology & Experimental Neurology, 56 (1997), 704-713.
    [11] J. Neurosurgery, 82 (1995), 615-622, Bulletin of Mathematical Biology, 62 (2000), 527-542.
    [12] , J. Comp. Syste. Sci. Int., 48 (2009), 325-331.
    [13] IEEE Trans. Medical Imaging, 17 (1998), 463-468.
    [14] SIAM Journal on Applied Mathematics, 63 (2003), 1954-1971.
    [15] Theory and applications. Translated from the 1999 Russian original by Tamara Rozhkovskaya. Translations of Mathematical Monographs, 187. American Mathematical Society, Providence, RI, 2000.
    [16] J. Neurosurgery, 39 (1996), 235-252.
    [17] New York, Springer Verlag, 1981.
    [18] preprint Arizona State University, July 28, 2010.
    [19] European Journal of Pharmacology, 625 (2009), 108-121.
    [20] Applicationes Mathematicae, 38 (2011), 17-31.
    [21] Math. Biosc. Eng., 2 (2005), 561-578.
    [22] Birkhaeuser, Boston, 1995.
    [23] Pergamon Press, 1964.
    [24] SIAM News, Vol 37, No.1, 2004.
    [25] J. Neuwsurg., 18 (1961), 636-644.
    [26] II. Spatial models and biomedical applications. Third edition. Interdisciplinary Applied Mathematics, 18. Springer-Verlag, New York, 2003.
    [27] Second edition. Biomathematics, 19. Springer-Verlag, Berlin, 1993.
    [28] Marcel Dekker, New York, 1994.
    [29] Phys. Med. Biol., 52 (2007), p3291.
    [30] J.Neurosurg., 86 (1997), 525-531.
    [31] Mathematical and Computer Modelling, 37 (2003), 1177-1190.
    [32] PhD thesis, University of Washington, Seattle, WA, 1999.
    [33] Cell Proliferation, 33 (2000), 317-329.
    [34] Russian Journal of Numerical Analysis and Mathematical Modelling, 26 (2011), 589-604.
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