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Akisato Kubo
Yuto Miyata



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Akisato Kubo
Yuto Miyata


WSEAS Transactions on Biology and Biomedicine


Print ISSN: 1109-9518
E-ISSN: 2224-2902

Volume 15, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Local and Non-Local Tumour Invasion Models: Their Mathematical Analysis and Computational Simulations

AUTHORS: Akisato Kubo, Yuto Miyata

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ABSTRACT: In the present paper we investigate local and non-local type of mathematical models of tumour invasion with proliferation in order to understand the mechanism of the non-local tumour invasion. We consider the nonlocal tumour invasion model proposed by Gerisch and Chaplain and an approximation model by expanding the non-local term into Taylor series, which is closely related to Chaplain and Lolas model describing the local tumour invasion. We prove the global existence in time and asymptotic profile of the solution to the initial boundary value problem for the approximation model in one spacial dimension, by applying known mathematical results of the local tumour invasion model. Finally we show by computer simulations of the approximation model, which are verified by our mathematical analysis, the time dependent change of the non-local tumour invasion process and observe the relationship between the value of Taylor coefficients and the tumour cell density or so.

KEYWORDS: Non-local model, mathematical analysis, tumour invasion, Taylor expansion, computational simulation.

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[7] Gerisch, A. and Chaplain, M.A.J., Mathematical modeling of cancer cell invasion of tissue: local and non-local models and the effect of adhesion, J. Theor. Biol., 250, 2008, pp.684-704.

[8] Kubo, A., A mathematical approach to OthmerStevens model, Wseas Transactions on Biology and Biomedicine, Issue. 1(2), 2005, pp.45-50.

[9] Kubo, A., Qualitative Characterization of Mathematical Models of Tumour Induced Angiogenesis, Wseas Trans. on Biology and Biomedicine, Issue. 7(3), 2006, pp.546-552.

[10] Kubo, A., Mathematical analysis of some models of tumour Growth and simulations, WSEAS Transactions on Biology and Biomedicine, 2010, pp.31-40.

[11] Kubo, A., Mathematical Analysis of a model of Tumour Invasion and Simulations, International Journal of Mathematical Models and Methods in Applied Science, Vol.4, Issue.3, 2010, pp.187- 194.

[12] Kubo, A., Nonlinear evolution equations associated with mathematical models, Discrete and Continous Dynamical Systems, supplement 2011, 2011, pp.881-890.

[13] Kubo, A. and Hoshino, H., Nonlinear evolution equation with strong dissipation and proliferation, Current Trends in Analysis and its Applications, Birkhauser, Springer, 2015, pp.233-241.

[14] Kubo, A. and Hoshino, H and Kimura K., Global existence and asymptotic behaviour of solutions for nonlinear evolution equations related to tumour invasion, Dynamical Systems, Differential Equations and Applications, AIMS Proceedings, pp.733-744, 2015.

[15] Kubo, A., Kimura K., Mathematical Analysis of Tumour Invasion with Proliferation Model and Simulations, WSEAS Transaction on Biology and Biomedicine, Vol.1, 2014, pp.165-173.

[16] Kubo, A., Miyata, Y., Mathematical analysis of glioblastoma invasion models from in vitro experiment, Wseas Transaction on Mathematics, 16, 2017, pp.62-68.

[17] Kubo, A., Miyata, Y., Kobayashi, H. and Hayashi, N., Mathematical models and simulations of glioblastoma invasion, International Journal of Mathematical Models and Methods in Applied Sciences, 11, 2017, pp.107-116.

[18] Kubo, A., Miyata, Y., Kobayashi, H., Hoshino, H. and Hayashi, N., Nonlinear evolution equations and its application to a tumour invasion model, Advances in Pure Mathematics, 6(12), 2016, pp.878-893.

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WSEAS Transactions on Biology and Biomedicine, ISSN / E-ISSN: 1109-9518 / 2224-2902, Volume 15, 2018, Art. #11, pp. 101-111


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