年龄结构肿瘤免疫模型的阈值行为

IF 2.6 4区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Zhong Luo, Zijian Liu, Yuanshun Tan, Jin Yang, Huanhuan Qiu
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引用次数: 0

摘要

在本文中,我们提出并分析了一个年龄结构的肿瘤免疫模型。基于不同年龄的肿瘤细胞往往表现出不同的生理行为,我们在模型中考虑了肿瘤细胞的年龄结构、年龄基础的增殖功能和年龄依赖的死亡功能。导出了无肿瘤稳态存在的阈值$\mathfrak{R}_{0}$。发现,如果$\mathfrak{R}_{0}1$,则证明了肿瘤稳态是存在且一致持久的。在$\mathfrak{R}_{0}>1$以外的其他条件下,研究了肿瘤稳态的局部稳定性。最后对系统参数进行了估计,验证了理论结果,并对部分系统参数的灵敏度进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Threshold Behavior of an Age-structured Tumor Immune Model
In this paper, we present and analyze an age-structured tumor immune model. Based on the fact that tumor cells of different ages tend to exhibit different physiological behaviors, we consider the age structure of tumor cells, age-based proliferation function and age-dependent death function in the model. The threshold $\mathfrak{R}_{0}$ for the existence of tumor-free steady state is derived. It is found that if $\mathfrak{R}_{0}<1$, the tumor-free steady state is not only locally stable but also globally stable. Moreover, numerical simulation shows that the threshold $\mathfrak{R}_{0}$ may be regarded as an index to reflect the ability of ``tumor immune surveillance", \ie, the smaller the $\mathfrak{R}_{0}$, the better the ability of tumor immune surveillance. If $\mathfrak{R}_{0}>1$, it is proved that the tumor steady state is existent  and uniformly persistent. The local stability of the tumor steady state is investigated under some further conditions besides $\mathfrak{R}_{0}>1$. In the end, we estimate the system parameters, verify the theoretical results and analyze some system  parameters' sensitivities.
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来源期刊
Mathematical Modelling of Natural Phenomena
Mathematical Modelling of Natural Phenomena MATHEMATICAL & COMPUTATIONAL BIOLOGY-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
5.20
自引率
0.00%
发文量
46
审稿时长
6-12 weeks
期刊介绍: The Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original and review papers, short communications and proceedings on mathematical modelling in biology, medicine, chemistry, physics, and other areas. The scope of the journal is devoted to mathematical modelling with sufficiently advanced model, and the works studying mainly the existence and stability of stationary points of ODE systems are not considered. The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to the real world problems. The journal is essentially functioning on the basis of topical issues representing active areas of research. Each topical issue has its own editorial board. The authors are invited to submit papers to the announced issues or to suggest new issues. Journal publishes research articles and reviews within the whole field of mathematical modelling, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.
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