Role of Glucose and Oxygen Concentration on Tumor Cell: A Mathematical Model

Authors

DOI:

https://doi.org/10.26713/cma.v14i3.2459

Keywords:

Glycolysis, Michaelis-Menten kinetics, Crank-Nicholson approximation, Diffusivity, Tumor cell, Tridiagonal system, Lactic acid, Metabolism

Abstract

The paper aims at determining the combined effect of oxygen level and glucose concentration on the growth of tumor cells. The tumor cells were identified by Otto Warburg as the cells with increased glycolysis and decreased mitochondrial activity and described their metabolism. The known fact is that tumor tissues, which are in the form of solid tumors or as ascites cells, display a high rate of aerobic and anaerobic glycolysis. In this paper, one-dimensional mathematical model analysing the concentration of oxygen and glucose in the tumor is developed. The analyses of the effect of glucose and oxygen on tumor cells is done. The correlation between proliferating and quiescent cell number vis-à-vis primary nutrient concentration is found. The proposed model helps us to evaluate the consumption rate of nutrients in the cell when the concentration of glucose, oxygen, and lactic acid in the external medium is given and the radius of the necrotic core can be determined by using the model.

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References

J. J. Casciari, S. V. Sotirchos and R. M. Sutherland, Variations in tumor cell growth rates and metabolism with oxygen concentration, glucose concentration, and extracellular pH, Journal of Cellular Physiology 151(2) (1992), 386 – 394, DOI: 10.1002/jcp.1041510220.

A. Fadaka, B. Ajiboye, O. Ojo, O. Adewale, I. Olayide and R. Emuowhochere, Biology of glucose metabolization in cancer cells, Journal of Oncological Sciences 3(2) (2017), 45 – 51, DOI: 10.1016/j.jons.2017.06.002.

W. B. Fitzgibbon, S. L. Hollis and J. J. Morgan, Stability and lyapunov functions for reaction-diffusion systems, SIAM Journal on Mathematical Analysis 28(3) (1997), 595 – 610, DOI: 10.1137/S0036141094272241.

E. B. Goldberg, H. M. Nitowsky and S. P. Colowick, The role of glycolysis in the growth of tumor cells, The Journal of Biological Chemistry 236(7) (1965), 2791 – 2796, DOI: 10.1016/s0021-9258(18)97248-0.

J. N. Kapur, Mathematical Modesl in Biology & Medicine, New Age International Publishers, New Delhi, 272 pages (1985).

M. Marušic, Ž. Bajzer, J. P. Freyer and S. Vuk-Pavlovic, Analysis of growth of multicellular tumour spheroids by mathematical models, Cell Proliferation 27(2) (1994), 73 – 94, DOI: 10.1111/j.1365-2184.1994.tb01407.x.

J. A. Bertout, S. A. Patel and M. C. Simon, The impact of O2 availability on human cancer, Nature Reviews Cancer 8(12) (2008), 967 – 975, DOI: 10.1038/nrc2540.

J. D. Murray, Mathematical Biology, 1st edition, Biomathematics Texts series, Vol. 19, Springer, Berlin — Heidelberg, xiv + 770 pages (1989), DOI: 10.1007/978-3-662-08539-4.

R. Singh, Mathematical Modeling in Biology and Medicine, 1st edition, Lambert Academic Publishing, London (2017).

O. Warburg, F. Wind and E. Negelein, The metabolism of tumors in the body, The Journal of General Physiology 8(6) (1927), 519 – 530, DOI: 10.1085/jgp.8.6.519.

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Published

18-10-2023
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How to Cite

Mazumdar, N. (2023). Role of Glucose and Oxygen Concentration on Tumor Cell: A Mathematical Model. Communications in Mathematics and Applications, 14(3), 1275–1282. https://doi.org/10.26713/cma.v14i3.2459

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Research Article