Dynamical Analysis of a Simple Tumor‐Immune Model With Two‐Stage Lymphocytes

ABSTRACT The growth of tumor cells involves complex interactions with the immune response. We propose a simple two‐stage model that describes the interaction between tumor cells and lymphocytes, where it is assumed that lymphocytes undergo two stages of development (immature and mature) and that only mature lymphocytes can kill tumor cells. The model incorporates a linear function to represent the effect of tumor antigen stimulation and a logistic model to describe the tumor growth in the absence of immune response. We analyze the oscillatory behavior of tumor levels from three perspectives: the intrinsic growth rate of tumor, the killing rate of lymphocytes against tumor cells, and the stimulation effect of tumor antigens on the immune system. Supported by theoretical analysis of Hopf bifurcation, we observe distinct differences among these factors. The oscillation occurs between two critical values for the intrinsic growth rate and the killing rate of lymphocytes, while for the stimulation effect of tumor antigens, there is a single critical value that triggers the oscillation. Numerical simulations show that strong tumor antigen stimulation can induce long‐term dormancy in tumor growth. Furthermore, we establish the equivalence between the local and global stability of the tumor‐free equilibrium using the fluctuation lemma and derive a sufficient condition on the global attractivity of the tumor‐present equilibrium by constructing auxiliary convergent sequences.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-03-08
DOI
https://doi.org/10.1002/mma.10863
Citations
1
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
1.37

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article

Dynamical Analysis of a Simple Tumor‐Immune Model With Two‐Stage Lymphocytes

Jianquan Li, Xiaojian Xi, Yuming Chen, Huihui Wu et al.
1 citations
Mathematical Methods in the Applied Sciences
Mathematical Biology Tumor Growth
1.37
article

Dynamical Analysis of a Simple Tumor‐Immune Model With Two‐Stage Lymphocytes

Jianquan Li, Xiaojian Xi, Yuming Chen, Huihui Wu, Dian Zhang, Jiaojiao Guo
article en
1 citations

Abstract

ABSTRACT The growth of tumor cells involves complex interactions with the immune response. We propose a simple two‐stage model that describes the interaction between tumor cells and lymphocytes, where it is assumed that lymphocytes undergo two stages of development (immature and mature) and that only mature lymphocytes can kill tumor cells. The model incorporates a linear function to represent the effect of tumor antigen stimulation and a logistic model to describe the tumor growth in the absence of immune response. We analyze the oscillatory behavior of tumor levels from three perspectives: the intrinsic growth rate of tumor, the killing rate of lymphocytes against tumor cells, and the stimulation effect of tumor antigens on the immune system. Supported by theoretical analysis of Hopf bifurcation, we observe distinct differences among these factors. The oscillation occurs between two critical values for the intrinsic growth rate and the killing rate of lymphocytes, while for the stimulation effect of tumor antigens, there is a single critical value that triggers the oscillation. Numerical simulations show that strong tumor antigen stimulation can induce long‐term dormancy in tumor growth. Furthermore, we establish the equivalence between the local and global stability of the tumor‐free equilibrium using the fluctuation lemma and derive a sufficient condition on the global attractivity of the tumor‐present equilibrium by constructing auxiliary convergent sequences.

Mathematical Methods in the Applied SciencesVol. 48(9)
Xi'an Medical University (CN), Xijing University (CN), Wilfrid Laurier University (CA)
National Natural Science Foundation of China, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 25%
Mathematical Biology Tumor Growth
1.37
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