Numerical Analysis of Mathematical Model of Tumor Treatment by Anti-Angiogenesis

Mihir M Panchal, Twinkle Singh

Abstract


Explanation of cell movement and cell population in biology is one of the most interesting themes of the mathematical oncology. This study targets to produce numerical solutions of the system of equation produced by the process of angiogenesis in the development of tumor from vascular to avascular and then metastasis. We consider a situation in which anti-angiogenesis treatment is administered before a tumor is vascularized. This involves the treatment by preventing the angiogenesis by anti-angiogenic agent namely said an anti-angiogenic factor (AAF). We developed the governing equations for the conservation of endothelial cells, tumor angiogenic factors and fibronectin concentrations. To solve these equations a finite Difference method is applied. Which is considered to be very reliable and stable for parabolic partial differential equations. After the discretization process of equations, we get the matrics which solve by Matlab simulations. We have used the previously published parametric values which are chosen to suit this study. Results obtained designate that when we applied the antiangiogenic term to the equation for endothelial cell concentration, endothelial cells concentration declines identically. This can make huge inferences for cancer treatment

Keywords


Tumor angiogenesis, Anti-angiogenesis, Finite difference method

Full Text:

PDF

References


A. Stephanou, S.R. McDougall, A.R.A. Anderson, M.A.J. Chaplain. (2005). Mathematical modelling of flow in 2D and 3D vascular networks: Applications to antiangiogenic and chemotherapeutic drug strategies. Mathematical and Computer Modelling. 41, (10), 1137–1156.

A.R.A. Anderson, and M.A.J. Chaplain. (1998). Continuous and Discreet Mathematical Models of Tumor-induced Angiogenesis. Bulletin of Mathematical Biology,60, (5), 857–900.

A.R.A. Anderson, M.A.J. Chaplain, C. Garcia-Reimbert and C.A. Vargas (2000). Gradient Driven Mathematical Model of Anti–Angiogenesis. Mathematical and Computer Modelling. 32, (10), 1141–1152.

J.M.O. Eloundou.(2011). Mathematical Modelling of the Stages of the Tumor Growth and Non Local Interactions in Cancer Invasion.Master Thesis, University of Stellenbosch.

M. M. Panchal and T. R. Singh (2019). Finite Difference Schemes to Nonlinear Parabolic System of Cancer Invasion and Interaction of Cancer Cell with Surrounding Tissues. Int. Journal Of Advanced technology in Engineering and sciences, 7 (2),01-11.

M. M. Panchal and T. R. Singh (2019). Numerical solution of the mathematical modelling of tumor growth during the process of angiogenesis. Int. Journal of Recent Scientific Research. 2 (4c), 38010-38014. DOI: http://dx.doi.org/10.24327/ijrsr.2019.1004.3341

M.E. Orme and M.A.J. Chaplain. (1997). Two-dimensional models of tumor angjogenesis and anti-angiogenesis strategies. IMA Journal of Mathematics Applied in Medicine Biology. 14, (3), 189–205.

M.J. Holmes and B.D. Sleeman. (1999). A Mathematical Model of Tumor Angiogenesis Incorporating Cellular Traction and Viscoelastic Effects. Journal of Theoretical Biology. Volume 202, Issue 2, 21 January 2000, Pages 95-112.

S. Sanga, J.P. Sinek, H. B. Frieboes, M. Ferrari, J.P. Fruehauf and V. Cristini. (2006). Mathematical modeling of cancer progression and response to chemotherapy. Expert Rev. Anticancer. 6, (10), 1361—1376.

T. Alarcon, H. Byme , P. Maini and J. Panovska. (2005). Mathematical Modelling of Angiogenesis and Vascular Adaptation. In R Paton and L McNamara (Eds). Multidisciplinary Approaches to Theory in Medicine. Elsevier. Amsterdam. 3, 369–387

U. Ledzewicz, and H. Schattler. (2008). Optimal and suboptimal protocols for a class of mathematical models of tumor anti-angiogenesis. Journal of Theorectical Biology. 252, (2), 295–312

World Cancer Report. (2014). Global battle against cancer won’t be won with treatment alone. Epidemiology/Etiology/Cancer Prevention. European Society for Medical Oncology.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 The Journal of Applied Sciences Research

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.