Huang Yating, Wang Zhenyou
School of Mathematics and Statistics, Guangdong University of Technology, Guangzhou 510520, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2025 Aug 20;45(8):1768-1776. doi: 10.12122/j.issn.1673-4254.2025.08.21.
To explore the key role of myeloid-derived suppressive cells (MDSCs) in pre-metastatic niche (PMN) and analyze their interrelationships with the main components in the microenvironment using a mathematical model.
Mathematical descriptions were used to systematically analyze the functions of MDSCs in tumor metastasis and elucidate their association with the major components (vascular endothelial cells, mesenchymal stromal cells, and cancer-associated macrophages) contributing to the formation of the pre-metastatic microenvironment. Based on the formation principle of the pre-metastatic microenvironment of tumors, the key biological processes were assumed to construct a coupled partial differential diffusion equation model. The existence and uniqueness of the model solutions were investigated using approximation methods, the qualitative theory of partial differential equations and Banach's immovable point theorem, and numerical simulations were carried out by differential numerical methods to verify the reliability and accuracy of the model.
The existence and uniqueness of the local and overall solutions of the model were proved using the approximation method, the qualitative theory of partial differential equations and Banach's immovable point theorem in combination with the regularity estimation of the local solutions and the embedding inequality. Numerical simulation results further validated the reliability of the model and demonstrated the important role of MDSCs in the pre-metastatic microenvironment of tumors, especially in angiogenesis and immunosuppression.
This study reveals the important functions of MDSCs in the pre-metastatic microenvironment of tumors through mathematical modeling and numerical simulation, which provides an important theoretical basis for understanding the mechanism of tumor metastasis and devising cancer treatment strategies.
利用数学模型探讨髓系来源的抑制性细胞(MDSCs)在肿瘤前转移微环境(PMN)中的关键作用,并分析它们与微环境中主要成分的相互关系。
运用数学描述系统分析MDSCs在肿瘤转移中的功能,并阐明它们与有助于肿瘤前转移微环境形成的主要成分(血管内皮细胞、间充质基质细胞和癌症相关巨噬细胞)之间的关联。基于肿瘤前转移微环境的形成原理,假设关键生物学过程构建一个耦合偏微分扩散方程模型。使用逼近方法、偏微分方程定性理论和巴拿赫不动点定理研究模型解的存在性和唯一性,并通过微分数值方法进行数值模拟以验证模型的可靠性和准确性。
结合局部解的正则性估计和嵌入不等式,利用逼近方法、偏微分方程定性理论和巴拿赫不动点定理证明了模型局部解和整体解的存在性和唯一性。数值模拟结果进一步验证了模型的可靠性,并证明了MDSCs在肿瘤前转移微环境中的重要作用,特别是在血管生成和免疫抑制方面。
本研究通过数学建模和数值模拟揭示了MDSCs在肿瘤前转移微环境中的重要功能,为理解肿瘤转移机制和制定癌症治疗策略提供了重要的理论依据。