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肿瘤生长多相模型中M1和M2巨噬细胞的时空动力学

Spatio-Temporal Dynamics of M and M Macrophages in a Multiphase Model of Tumor Growth.

作者信息

Lampropoulos Ioannis, Kevrekidis Panayotis G, Zois Christos E, Byrne Helen, Kavousanakis Michail

机构信息

School of Chemical Engineering, National Technical University of Athens, Iroon Polytechneiou 9, Zografou, Athens, 15780, Greece.

Department of Mathematics and Statistics and Department of Physics, University of Massachusetts Amherst, Amherst, 01003, Massachusetts, United States of America.

出版信息

Bull Math Biol. 2025 Jun 4;87(7):92. doi: 10.1007/s11538-025-01466-6.

Abstract

This study investigates the complex dynamics of vascular tumors and their interplay with macrophages, key agents of the innate immune response. We model the tumor microenvironment as a multiphase fluid, with each cellular population treated as a distinct, non-mixing phase. The framework also incorporates diffusible species that are critical for processes such as nutrient transport, angiogenesis, chemotaxis, and macrophage activation. A central contribution of this work is the explicit modeling of macrophage infiltration and polarization within the tumor microenvironment. The model captures the divergent roles of (anti-tumor) and (pro-tumor) macrophages and their influence on tumor aggressiveness and progression. Through numerical simulations, we demonstrate the emergence of both spatial and phenotypic heterogeneity in the macrophage population, including their peripheral localization and limited core infiltration -patterns consistent with experimental observations. Furthermore, this is the first multiphase model to incorporate the effects of TGF- -targeting immunotherapy using vactosertib. Our simulations demonstrate that treatment initially enhances the presence of anti-tumor macrophages, followed by a relapse period where tumor dynamics returns to pre-treatment trends. Model parameters are grounded in experimental data and clinically relevant dosage protocols.

摘要

本研究调查了血管肿瘤的复杂动力学及其与巨噬细胞(先天免疫反应的关键因子)的相互作用。我们将肿瘤微环境建模为多相流体,将每个细胞群体视为一个独特的、不混合的相。该框架还纳入了对营养物质运输、血管生成、趋化作用和巨噬细胞激活等过程至关重要的可扩散物质。这项工作的一个核心贡献是对肿瘤微环境中巨噬细胞浸润和极化进行了明确建模。该模型捕捉了(抗肿瘤)和(促肿瘤)巨噬细胞的不同作用及其对肿瘤侵袭性和进展的影响。通过数值模拟,我们展示了巨噬细胞群体中空间和表型异质性的出现,包括它们的外周定位和有限的核心浸润——这些模式与实验观察结果一致。此外,这是第一个纳入使用维莫非尼靶向转化生长因子-β免疫疗法效果的多相模型。我们的模拟表明,治疗最初会增加抗肿瘤巨噬细胞的存在,随后是一个复发期,在此期间肿瘤动力学恢复到治疗前的趋势。模型参数基于实验数据和临床相关剂量方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1488/12137437/c060002c17e8/11538_2025_1466_Fig1_HTML.jpg

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