具有细胞生理年龄和资源限制的多层实体肿瘤建模与分析

IF 1.8 4区 数学 Q3 ECOLOGY Journal of Biological Dynamics Pub Date : 2024-12-01 Epub Date: 2023-12-22 DOI:10.1080/17513758.2023.2295492
Zhonghu Luo, Zijian Liu, Yuanshun Tan, Jin Yang
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引用次数: 0

摘要

我们研究了一个无血管球形实体肿瘤模型,该模型具有细胞生理年龄和体内资源限制。我们将肿瘤细胞分为三部分:增殖细胞、静止细胞和坏死核心中的死亡细胞。我们假设由于营养和空间限制,增殖细胞的分裂率是非线性的。我们考虑了直接进入静止状态的新生肿瘤细胞的比例,因为这部分细胞会对药物的治疗效果做出反应。我们建立了一个非线性年龄结构肿瘤细胞群体模型。我们研究了模型解的存在性和唯一性,并探讨了无肿瘤稳态的局部和全局稳定性。研究了肿瘤稳态的存在性和局部稳定性。最后,我们进行了一些数值模拟,以验证理论结果并研究不同参数对模型的影响。
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Modeling and analysis of a multilayer solid tumour with cell physiological age and resource limitations.

We study an avascular spherical solid tumour model with cell physiological age and resource constraints in vivo. We divide the tumour cells into three components: proliferating cells, quiescent cells and dead cells in necrotic core. We assume that the division rate of proliferating cells is nonlinear due to the nutritional and spatial constraints. The proportion of newborn tumour cells entering directly into quiescent state is considered, since this proportion can respond to the therapeutic effect of drug. We establish a nonlinear age-structured tumour cell population model. We investigate the existence and uniqueness of the model solution and explore the local and global stabilities of the tumour-free steady state. The existence and local stability of the tumour steady state are studied. Finally, some numerical simulations are performed to verify the theoretical results and to investigate the effects of different parameters on the model.

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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
期刊最新文献
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