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
EDGARD LOURENÇO, DIEGO S. RODRIGUES, MARIA E. ANTUNES, PAULO F. A. MANCERA, GUILHERME RODRIGUES
{"title":"A SIMPLE MATHEMATICAL MODEL OF NON-SMALL CELL LUNG CANCER INVOLVING MACROPHAGES AND CD8+ T CELLS","authors":"EDGARD LOURENÇO, DIEGO S. RODRIGUES, MARIA E. ANTUNES, PAULO F. A. MANCERA, GUILHERME RODRIGUES","doi":"10.1142/s021833902350047x","DOIUrl":null,"url":null,"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.","PeriodicalId":54872,"journal":{"name":"Journal of Biological Systems","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biological Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s021833902350047x","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
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.
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.80
自引率
12.50%
发文量
31
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信