Evaluation of the Dynamics of Psychological Panic Factor, Glucose Risk and Estrogen Effects on Breast Cancer Model

Author:

Aamer Zahraa1,Jawad Shireen1ORCID,Batiha Belal2ORCID,Ali Ali Hasan34ORCID,Ghanim Firas5ORCID,Lupaş Alina Alb6ORCID

Affiliation:

1. Department of Mathematics, College of Science, University of Baghdad, Baghdad 10071, Iraq

2. Faculty of Science and Information Technology, Mathematics Department, Jadara University, Irbid 21110, Jordan

3. Institute of Mathematics, University of Debrecen, Pf. 400, H-4002 Debrecen, Hungary

4. Jadara University Research Center, Jadara University, Irbid 21110, Jordan

5. Department of Mathematics, College of Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates

6. Department of Mathematics and Computer Science, University of Oradea, 1 Universitatii Street, 410087 Oradea, Romania

Abstract

Contracting cancer typically induces a state of terror among the individuals who are affected. Exploring how glucose excess, estrogen excess, and anxiety work together to affect the speed at which breast cancer cells multiply and the immune system’s response model is necessary to conceive of ways to stop the spread of cancer. This paper proposes a mathematical model to investigate the impact of psychological panic, glucose excess, and estrogen excess on the interaction of cancer and immunity. The proposed model is precisely described. The focus of the model’s dynamic analysis is to identify the potential equilibrium locations. According to the analysis, it is possible to establish four equilibrium positions. The stability analysis reveals that all equilibrium points consistently exhibit stability under the defined conditions. The transcritical bifurcation occurs when the glucose excess is taken as a bifurcation point. Numerical simulations are employed to validate the theoretical study, which shows that psychological panic, glucose excess, and estrogen excess could be significant contributors to the spread of tumors and weakness of immune function.

Publisher

MDPI AG

Reference44 articles.

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4. Patel, M., and Nagl, S. (2010). The Role of Model Integration in Complex Systems Modelling: An Example from Cancer Biology, Springer.

5. A study on cancer-obesity-treatment model with quadratic optimal control approach for better outcomes;Dehingia;Results Phys.,2022

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