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Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model

Year 2019, Volume: 68 Issue: 1, 371 - 391, 01.02.2019
https://doi.org/10.31801/cfsuasmas.421546

Abstract

Cancer cell invasion is one of the most important stages of metastasis. In this paper, the local existence and uniqueness of the cancer cell invasion model is proved using an iterative procedure. Moreover the numerical simulations are performed using a combination of a nonstandard finite difference scheme and backward and forward Euler methods. It is seen that the results agree well with the expected behaviour of the invasion.

References

  • Berry H., Larreta-Garde V., Oscillatory Behaviour of a Simple Kinetic Model for Proteolysis during Cell Invasion, Biophysical Journal (1999), 77, 655-665.
  • Lin B., Holmes W. R., Wang C. J., Ueno T., Harwell A., Edelstein-Keshet L., Inoure T., LevchenkoA., Synthetic Spatially Graded Rac Activation Drives Cell Polarization and Movement, PNAS, (2012), E3668-E3667. McAneney H., O Rourke S.F.C., Investigation of Various Growth Mechanisms of Solid Tumour Growth within the Linear-Quadratic Model for Radiotherapy, Physics in Medicine and Biology, (2007) 52, 1039-1054.
  • Sachs R. K., Hlatky L. R., Hahnfeldt P., Simple ODE Models of Tumor Growth and Anti-Angiogenic or Radiation Treatment, Mathematical and Computer Modelling (2001), 33, 1297-1305.
  • Gatenby, R. A., Gawlinski, E. T., A reaction-diffusion model of cancer invasion, Cancer Research (1996), 56, 5745--5753.
  • Märkl, C., Meral, G., Surulescu, C., Mathematical analysis and numerical simulation for a system modeling acid-mediated tumor cell invasion. International Journal of Analysis (2013), article ID 878051, 15 pages.
  • Stinner C., Surulescu C., Meral G. 2014. A Multiscale Model for pH-Tactic Invasion with Time Varying Carrying Capacities, IMA Journal of Applied Mathematics (2015), 80 (5), 1300-1321.
  • Chaplain M.A.J. and Lolas G., Mathematical modelling of cancer invasion of tissue: dynamic heterogeneity, Networks and Heterogeneous Media (2006), 1, 399-439.
  • Kloeden P., Sonner S., Surulescu C., A nonlocal sample dependence SDE-PDE system modeling proton dynamics in a tumor, Discrete and Continuous Dynamical Systems, Series B(2016), 21, 2233-2254.
  • Hiremath S., Surulescu C., A stochastic multiscale model for acid mediated cancer invasion, Nonlinear Analysis: Real World Applications, (2015),22, 176-205.
  • Hiremath S., Surulescu C., A stochastic model featuring acid induced gaps during tumor progression, Nonlinearity, (2016), 29, 851-914.
  • Evans, LC, Partial Differential Equations. Vol 19, American Mathematical Society, 2010.
  • Zeidler, E, Nonlinear functional analysis and its applications. II/B, Springer-Verlag, 1999.
  • Eberl, HJ, Demaret, L, A finite difference scheme for a degenerated diffusion equation arising in microbial ecology. Electron. J. Differ. Equations (2007), 15: 77-95.
Year 2019, Volume: 68 Issue: 1, 371 - 391, 01.02.2019
https://doi.org/10.31801/cfsuasmas.421546

Abstract

References

  • Berry H., Larreta-Garde V., Oscillatory Behaviour of a Simple Kinetic Model for Proteolysis during Cell Invasion, Biophysical Journal (1999), 77, 655-665.
  • Lin B., Holmes W. R., Wang C. J., Ueno T., Harwell A., Edelstein-Keshet L., Inoure T., LevchenkoA., Synthetic Spatially Graded Rac Activation Drives Cell Polarization and Movement, PNAS, (2012), E3668-E3667. McAneney H., O Rourke S.F.C., Investigation of Various Growth Mechanisms of Solid Tumour Growth within the Linear-Quadratic Model for Radiotherapy, Physics in Medicine and Biology, (2007) 52, 1039-1054.
  • Sachs R. K., Hlatky L. R., Hahnfeldt P., Simple ODE Models of Tumor Growth and Anti-Angiogenic or Radiation Treatment, Mathematical and Computer Modelling (2001), 33, 1297-1305.
  • Gatenby, R. A., Gawlinski, E. T., A reaction-diffusion model of cancer invasion, Cancer Research (1996), 56, 5745--5753.
  • Märkl, C., Meral, G., Surulescu, C., Mathematical analysis and numerical simulation for a system modeling acid-mediated tumor cell invasion. International Journal of Analysis (2013), article ID 878051, 15 pages.
  • Stinner C., Surulescu C., Meral G. 2014. A Multiscale Model for pH-Tactic Invasion with Time Varying Carrying Capacities, IMA Journal of Applied Mathematics (2015), 80 (5), 1300-1321.
  • Chaplain M.A.J. and Lolas G., Mathematical modelling of cancer invasion of tissue: dynamic heterogeneity, Networks and Heterogeneous Media (2006), 1, 399-439.
  • Kloeden P., Sonner S., Surulescu C., A nonlocal sample dependence SDE-PDE system modeling proton dynamics in a tumor, Discrete and Continuous Dynamical Systems, Series B(2016), 21, 2233-2254.
  • Hiremath S., Surulescu C., A stochastic multiscale model for acid mediated cancer invasion, Nonlinear Analysis: Real World Applications, (2015),22, 176-205.
  • Hiremath S., Surulescu C., A stochastic model featuring acid induced gaps during tumor progression, Nonlinearity, (2016), 29, 851-914.
  • Evans, LC, Partial Differential Equations. Vol 19, American Mathematical Society, 2010.
  • Zeidler, E, Nonlinear functional analysis and its applications. II/B, Springer-Verlag, 1999.
  • Eberl, HJ, Demaret, L, A finite difference scheme for a degenerated diffusion equation arising in microbial ecology. Electron. J. Differ. Equations (2007), 15: 77-95.
There are 13 citations in total.

Details

Primary Language English
Journal Section Review Articles
Authors

Gülnihal Meral This is me 0000-0003-0072-0609

İbrahim Çağatay Yamanlar This is me 0000-0003-4538-5568

Publication Date February 1, 2019
Submission Date July 24, 2017
Acceptance Date January 3, 2018
Published in Issue Year 2019 Volume: 68 Issue: 1

Cite

APA Meral, G., & Yamanlar, İ. Ç. (2019). Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 68(1), 371-391. https://doi.org/10.31801/cfsuasmas.421546
AMA Meral G, Yamanlar İÇ. Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. February 2019;68(1):371-391. doi:10.31801/cfsuasmas.421546
Chicago Meral, Gülnihal, and İbrahim Çağatay Yamanlar. “Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 68, no. 1 (February 2019): 371-91. https://doi.org/10.31801/cfsuasmas.421546.
EndNote Meral G, Yamanlar İÇ (February 1, 2019) Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 68 1 371–391.
IEEE G. Meral and İ. Ç. Yamanlar, “Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model”, Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat., vol. 68, no. 1, pp. 371–391, 2019, doi: 10.31801/cfsuasmas.421546.
ISNAD Meral, Gülnihal - Yamanlar, İbrahim Çağatay. “Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 68/1 (February 2019), 371-391. https://doi.org/10.31801/cfsuasmas.421546.
JAMA Meral G, Yamanlar İÇ. Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2019;68:371–391.
MLA Meral, Gülnihal and İbrahim Çağatay Yamanlar. “Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, vol. 68, no. 1, 2019, pp. 371-9, doi:10.31801/cfsuasmas.421546.
Vancouver Meral G, Yamanlar İÇ. Mathematical Analysis and Numerical Simulations for the Cancer Tissue Invasion Model. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2019;68(1):371-9.

Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics.

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