A Robust Study of Tumor-Immune Cells Dynamics through Non-Integer Derivative

Author:

Jan Rashid1,Boulaaras Salah2ORCID,Ahmad Hussain3,Jawad Muhammad1,Zubair Sulima2,Abdalla Mohamed45ORCID

Affiliation:

1. Department of Mathematics, University of Swabi, Swabi 23561, Pakistan

2. Department of Mathematics, College of Sciences and Arts, Qassim University, Ar Rass 58822, Saudi Arabia

3. The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Sciences and Technology, Xi’an Jiaotong University, Xi’an 700149, China

4. Department of Mathematics, Faculty of Science King Khalid University, Abha 61471, Saudi Arabia

5. Department of Mathematics, Faculty of Science South Valley University, Qena 83523, Egypt

Abstract

It is renowned that the immune reaction in the tumour micro environment is a complex cellular process that requires additional research. Therefore, it is important to interrogate the tracking path behaviour of tumor-immune dynamics to alert policy makers about critical factors of the system. Here, we use fractional derivative to structure tumor-immune interactions. Furthermore, in our research, we concentrated on the qualitative investigation and time series analysis of tumor-immune cell interactions. The solution routes are examined using a new numerical technique to emphasis the impact of the factors on tumor-immune system. We focused on the behaviour of the system with fluctuation of different values. The most crucial components of the proposed system are identified and policymakers are advised. The outcomes of the present study are the strong predictor of clinical success and the in-out of immune cells in a tumour is also critical to treatment efficacy. As a result, studying the behaviour of tumor-immune cell interactions is important to predict crucial factors for the prevention and management to the health officials.

Funder

King Khalid University

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

Reference34 articles.

1. Siegel, R.L., and Jemal, A. (2013). Cancer Facts & Figures, American Cancer Society, Inc.

2. Qualitative and computational analysis of a mathematical model fo tumor-immune interactions;Rihan;J. Appl. Math.,2012

3. Abbas, A.K., Lichtman, A.H., and Pober, J.S. (1997). Cellular and Molecular Immunology, University of Michigan.

4. A mathematical model of cancer treatment by immunotherapy;Nani;Math. Biosci.,2000

5. Nonlinear dynamics of immunogenic tumors: Parameter estimation and global bifurcation analysis;Kuznetsov;Bull. Math. Biol.,1994

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