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On a moving boundary problem associated with a mathematical model of breast cancer. (English) Zbl 1531.92009

Summary: This paper is associated with a nonlinear parabolic moving boundary problem raised from the mathematical modeling of the behavior of the breast avascular cancer tumors at their first stage. This model is a modification of the previous works. Using the weak form of the proposed problem, the uniqueness of the solution is proved. Based on the finite difference method, a variable time step approach is proposed to solve the problem, numerically. It is shown that the numerical approach preserves the positivity of the solution and is unconditionally stable. To show the robustness and ability of the numerical method, the numerical and exact solutions are discussed and compared for two examples with the exact solutions.

MSC:

92-08 Computational methods for problems pertaining to biology
65M32 Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs
65M12 Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs
65L12 Finite difference and finite volume methods for ordinary differential equations
92C50 Medical applications (general)
Full Text: DOI

References:

[1] K. Bao, An elementary mathematical modeling of drug resistance in cancer, Math. Biosci. Engin., 18(1) (2021), 339-353. · Zbl 1471.92146
[2] S. Belkhir, F. Thomas, and B. Roche, Darwinian approaches for cancer treatment: benefits of mathematical modeling, Cancers, 13(17) (2021), 4448.
[3] V. Bitsouni, V. Tsilidis, Mathematical modeling of tumor-immune system interactions: the effect of rituximab on breast cancer immune response, J. Theor. Bio., 539 (2022), 111001. · Zbl 1483.92043
[4] E. Boghaert1, D. C. Radisky, C. M. Nelson, Lattice-based model of ductal carcinoma in situ suggests rules for breast cancer progression to an invasive state, PLOS Comput. Biol., 10 (2014), 1-14.
[5] S. J. Franks, H. M. Byrne, J. R. King, J. C. E. Underwood, C. E. Lewis, Modeling the early growth of ductal carcinoma in situ of the breast, J. Math. Biol., 47 (2003), 424-452. · Zbl 1050.92030
[6] M. Garshasbi and M. Abdolmanafi, Identification of Some Unknown Parameters in an Aggressive-Invasive Cancer Model Using Adjoint Approach, Mediterr. J. Math. 16 (2019), 1-18. · Zbl 1412.65076
[7] M. Garshasbi, Determination of unknown functions in a mathematical model of ductal carcinoma in situ, Numer. Meth. Part. Diff. Equ., 35(6) (2019), 2000-2016. · Zbl 1430.35231
[8] M. Garshasbi and F. Sanaei, A variable time-step method for a space fractional diffusion moving boundary problem: An application to planar drug release devices, Int. J. Numer. Model., 34 (2021), e2852.
[9] M. Garshasbi and S. Malek Bagomghaleh, An iterative approach to solve a nonlinear moving boundary problem describing the solvent diffusion within glassy polymers, Math. Meth. Appl. Sci., 43 (2020), 3754-3772. · Zbl 1446.65066
[10] M. Garshasbi and J. Sharafi, On the numerical solution of a class of variable coefficients parabolic moving boundary problems, J. Appl. Math. Comput., (2023). · Zbl 07734340
[11] M. Garshasbi and S. Malek Bagomghaleh, On a moving boundary problem associated with the swelling drug release platforms, I. J. Comput. Math. 99(12) (2022), 2499-2523. · Zbl 1513.35286
[12] L. Heng, Some problems arising from mathematical model of ductal carcinoma in situ, Electronic Theses and Dissertations, Paper 2789, (2017).
[13] K. Liu, Y. Xu, and D. Xu, Numerical algorithms for a free boundary problem model of DCIS and a related inverse problem, Applic. Anal., 99(7) (2018), 1181-1194. · Zbl 1442.65231
[14] M. A. Ramadan and M. M. A. Murad, Inverse Nonnegativity of Tridiagonal M-Matrices under Diagonal Element-Wise Perturbation, Adv. Lin. Alg. & Mat. Theo., 5 (2015), 37-45.
[15] P. Reihani, H. Esmailpour, and F. Soltanian, An ABC algorithm based approach to solve a nonlinear inverse reaction-diffusion problem associate with the ecological invasions, Comput. Meth. Diff. Equ., 11 (2023), 143-160. · Zbl 1524.65482
[16] S. Tabassum, N. B. Rosli, and M. S. A. B. Mazalan, Mathematical modeling of cancer growth process: a review, J. Phys.: Conference Series, IOP Publishing, 1366(1) (2019), 012018.
[17] N. T. Van Ravesteyn, J. J. Van Den Broek, X. Li, and S. J. Lee, Modeling ductal carcinoma in situ (DCIS): an overview of CISNET model approaches, Medical Decision Making, 38 (2018), 126S-139S.
[18] Y. Xu, An inverse problem for the free boundary model of ductal carcinoma in situ, More Progr. in Anal., World Science Publisher, (2008), 1429-1438. · Zbl 1187.35287
[19] Y. Xu and R. Gilbert, Some inverse problems raised from a mathematical model of ductal carcinoma in situ, Math. Comput. Model., 49 (2009), 814-828. · Zbl 1165.65388
[20] J. Zhou, Y. Xu, and H. Li, Another way of solving a free boundary problem related to DCIS model, Applic. Anal., 100(15) (2021). · Zbl 1477.35320
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