Skip Navigation Links
Journal of Applied Nonlinear Dynamics
Miguel A. F. Sanjuan (editor), Albert C.J. Luo (editor)
Miguel A. F. Sanjuan (editor)

Department of Physics, Universidad Rey Juan Carlos, 28933 Mostoles, Madrid, Spain

Email: miguel.sanjuan@urjc.es

Albert C.J. Luo (editor)

Department of Mechanical and Industrial Engineering, Southern Illinois University Ed-wardsville, IL 62026-1805, USA

Fax: +1 618 650 2555 Email: aluo@siue.edu


An Optimal Control Problem for Acid-mediated Cancer Invasion Model

Journal of Applied Nonlinear Dynamics 12(2) (2023) 339--351 | DOI:10.5890/JAND.2023.06.011

M. Navaneetha Krishnan$^1$, N. Barani Balan$^1$, L. Shangerganesh$^2$, J. Manimaran$^3$

$^1$ Department of Mathematics, Central University of Tamil Nadu, Thiruvarur - 610 005, India

$^2$ Department of Applied Sciences, National Institute of Technology Goa, Goa - 403 401, India

$^3 $ Department of Mathematics, Vellore Institute of Technology, Chennai - 600127, India

Download Full Text PDF

 

Abstract

In this article, we investigate an optimal control problem for acid-mediated cancer invasion model which describes the normal cell density, the tumor cell density, the excess $H^+$ ion concentration, the extracellular matrix, and active metalloproteinases. The main objective of this paper is to minimize the growth of tumor cells by controlling the excess production of $H^+$ ions. First, we establish the existence of weak solutions by using the Faedo-Galerkin approximation method, then we prove the existence of optimal control. Further, we derive the necessary optimality condition for acid-mediated cancer invasion model. Finally, we illustrate the importance of the control term using some numerical simulations.

References

  1. [1]  Gatenby, R.A. and Gawlinski, E.T. (1996), A reaction-diffusion model of cancer invasion, Cancer Research, 56, 5745-5753.
  2. [2]  Gatenby, R.A., Gawlinski, E.T., Gmitro, A.F., Kaylor, B., and Gillies, R.J. (2006), Acid-mediated tumor invasion: a multidisciplinary study, Cancer Research, 66, 5216-5223.
  3. [3]  Martin, N.K., Gaffney, E.A., Gatenby, R.A., and Maini, P.K. (2010), Tumour-stromal interactions in acid-mediated invasion: A mathematical model, Journal of Theoretical Biology, 267, 461-470.
  4. [4]  Fasano, A., Herrero, M.A., and Rodrigo, M.R. (2009), Slow and fast invasion waves in a model of acid-mediated tumour growth, Mathematical Biosciences, 220, 45-56.
  5. [5]  Li, C., Kaushik, A., and Yin, G. (2014), Global existence of classical solutions to an acid-mediated invasion model for tumor-stromal interactions, Applied Mathematics and Computation, 234, 599-605.
  6. [6]  McGillen, J.B., Gaffney, E.A., Martin, N.K., and Maini, P.K. (2014), A general reaction-diffusion model of acidity in cancer invasion, Journal of Mathematical Biology, 68, 1199-1224.
  7. [7]  Silva, A.S., Yunes, J.A., Gillies, R.J., and Gatenby, R.A. (2009), The potential role of systemic buffers in reducing intratumoral extracellular ph and acid-mediated invasion, Cancer Research, 69, 2677-2684.
  8. [8]  Sowndarrajan, P.T. and Shangerganesh, L. (2018), Optimal control problem for cancer invasion parabolic system with nonlinear diffusion, A Journal of Mathematical Programming and Operations Research, 67, 1819-1836.
  9. [9]  Bendahmane, M., Erraji, E., and Karami, F. (2021), Optimal control for nonlocal reaction-diffusion system describing calcium dynamics in cardiac cell, Mathematical Methods in the Applied Sciences, 44, 4802-4834.
  10. [10]  Postaa, M. and Roubicek, T. (2007), Optimal Control of Navier-Stokes equations by Oseen approximation, Computers and Mathematics with Applications, 53, 569-581.
  11. [11]  Colli, P., Gilardi, G., Rocca, E., and Sprekels, J. (2017), Optimal distributed control of a diffuse interface model of tumor growth, Nonlinearity, 30, 2518-2546.
  12. [12]  Garcke, H., Lam, K.F., and Rocca, E. (2018), Optimal control of treatment time in a diffuse interface model of tumor growth, Applied Mathematics and Optimization, 78, 495-544.
  13. [13]  Signori, A. (2020), Optimal distributed control of an extended model of tumor growth with logarithmic potential, Applied Mathematics and Optimization, 82, 517-549.
  14. [14]  Hecht, F. (2012), New development in freefem++, Journal of Numerical Mathematics, 20, 251-265.
  15. [15]  Sowndarrajan, P.T., Manimaran, J., Debbouche, A., and Shangerganesh, L. (2019), Distributed optimal control of a tumor growth treatment model with cross-diffusion effect, The European Physical Journal Plus, 134, 463.