A SIMPLE MATHEMATICAL MODEL OF NON-SMALL CELL LUNG CANCER INVOLVING MACROPHAGES AND CD8+ T CELLS

IF 1.3 4区数学 Q3 BIOLOGY

Journal of Biological Systems Pub Date : 2023-10-31 DOI:10.1142/s021833902350047x

EDGARD LOURENÇO, DIEGO S. RODRIGUES, MARIA E. ANTUNES, PAULO F. A. MANCERA, GUILHERME RODRIGUES

引用次数: 1

Abstract

We analyze biological processes interconnected to the tumor microenvironment development of non-small cell lung cancer (NSCLC), considering a proposed ordinary differential equation (ODE) model. The concepts of cancer as a disease, the cellular heterogeneity of the tumor microenvironment composition, and the macrophage cell epigenetic heterogeneity are presented, and the dynamics of the relations between them, the cytotoxic T cells and the neoplasm cells are explored. The apoptosis rate of the macrophage cells which present protumor characteristics is revealed as having a key role in the local stability of the ODE model. Furthermore, the hypothesis on the relevance of the CD8+ T cells in assisting the macrophage cells to control the tumor volume indicates a immunotherapeutic treatment possibility that considers both of these cells effectively.

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涉及巨噬细胞和cd8 + t细胞的非小细胞肺癌的简单数学模型

我们分析了与非小细胞肺癌(NSCLC)肿瘤微环境发展相关的生物学过程，考虑了一个拟议的常微分方程(ODE)模型。介绍了肿瘤作为一种疾病的概念、肿瘤微环境组成的细胞异质性、巨噬细胞的表观遗传异质性，并探讨了它们与细胞毒性T细胞和肿瘤细胞之间的动态关系。具有肿瘤特征的巨噬细胞的凋亡率在ODE模型的局部稳定性中起关键作用。此外，关于CD8+ T细胞在协助巨噬细胞控制肿瘤体积中的相关性的假设表明，有效考虑这两种细胞的免疫治疗治疗可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Biological Systems 生物-生物学

CiteScore

2.80

自引率

12.50%

发文量

审稿时长

1 months

期刊介绍： The Journal of Biological Systems is published quarterly. The goal of the Journal is to promote interdisciplinary approaches in Biology and in Medicine, and the study of biological situations with a variety of tools, including mathematical and general systems methods. The Journal solicits original research papers and survey articles in areas that include (but are not limited to): Complex systems studies; isomorphies; nonlinear dynamics; entropy; mathematical tools and systems theories with applications in Biology and Medicine. Interdisciplinary approaches in Biology and Medicine; transfer of methods from one discipline to another; integration of biological levels, from atomic to molecular, macromolecular, cellular, and organic levels; animal biology; plant biology. Environmental studies; relationships between individuals, populations, communities and ecosystems; bioeconomics, management of renewable resources; hierarchy theory; integration of spatial and time scales. Evolutionary biology; co-evolutions; genetics and evolution; branching processes and phyllotaxis. Medical systems; physiology; cardiac modeling; computer models in Medicine; cancer research; epidemiology. Numerical simulations and computations; numerical study and analysis of biological data. Epistemology; history of science. The journal will also publish book reviews.