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Mathematical modeling of tumor surface growth with necrotic kernels
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  • Hua Zhang,
  • Jianjun Tian,
  • Ben Niu,
  • Yuxiao Guo
Hua Zhang
Harbin Institute of Technology

Corresponding Author:[email protected]

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Jianjun Tian
New Mexico State University
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Ben Niu
Harbin Institute of Technology - Weihai
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Yuxiao Guo
Harbin Institute of Technology - Weihai
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A two-dimensional tumor-immune model with the time delay of the adaptive immune response is considered in this paper. The model accounts for the interaction between cytotoxic T lymphocytes (CTLs) and cancer cells on the surface of a solid tumor with a necrotic kernel. The system has three equilibria. Both zero and maximum tumor volume equilibria are unstable, while the behavior of the positive equilibriums is closely related to the ratio of the immune killing rate to tumor volume growth rate. The positive equilibrium is more likely to be locally asymptotically stable when the ratio is smaller than a critical value, and unstable otherwise. We also derive conditions to guarantee the existence of Hopf bifurcation at the positive equilibrium. Applying the center manifold reduction and normal form method, we obtain explicit formulas to determine the properties of Hopf bifurcations. The global continuation of local Hopf bifurcation is studied based on the coincidence degree theory. The results reveal that long immune delay can lead to oscillation dynamics. We also carry out detailed numerical analysis for parameters to illustrate our qualitative analysis. Numerically, we find that a shorter immune response time leads to a longer patient survival time and the period and amplitude of a stable periodic solution increase with the immune response time. When CTLs recruitment rate and death rate vary, we observe how the ratio metioned above and the first bifurcation value change numerically, which yields further insights to the tumor-immune dynamics.
09 Jul 2020Submitted to Mathematical Methods in the Applied Sciences
11 Jul 2020Submission Checks Completed
11 Jul 2020Assigned to Editor
12 Apr 2021Reviewer(s) Assigned
12 Apr 2021Review(s) Completed, Editorial Evaluation Pending
13 Apr 2021Editorial Decision: Revise Major
08 May 20211st Revision Received
08 May 2021Submission Checks Completed
08 May 2021Assigned to Editor
10 May 2021Editorial Decision: Accept