Zhong Luo, Zijian Liu, Yuanshun Tan, Jin Yang, Huanhuan Qiu
{"title":"年龄结构肿瘤免疫模型的阈值行为","authors":"Zhong Luo, Zijian Liu, Yuanshun Tan, Jin Yang, Huanhuan Qiu","doi":"10.1051/mmnp/2023001","DOIUrl":null,"url":null,"abstract":"In this paper, we present and analyze an age-structured tumor immune model. Based on the fact that tumor cells of different ages tend to exhibit different physiological behaviors, we consider the age structure of tumor cells, age-based proliferation function and age-dependent death function in the model. The threshold $\\mathfrak{R}_{0}$ for the existence of tumor-free steady state is derived. It is found that if $\\mathfrak{R}_{0}<1$, the tumor-free steady state is not only locally stable but also globally stable. Moreover, numerical simulation shows that the threshold $\\mathfrak{R}_{0}$ may be regarded as an index to reflect the ability of ``tumor immune surveillance\", \\ie, the smaller the $\\mathfrak{R}_{0}$, the better the ability of tumor immune surveillance. If $\\mathfrak{R}_{0}>1$, it is proved that the tumor steady state is existent and uniformly persistent. The local stability of the tumor steady state is investigated under some further conditions besides $\\mathfrak{R}_{0}>1$. In the end, we estimate the system parameters, verify the theoretical results and analyze some system parameters' sensitivities.","PeriodicalId":18285,"journal":{"name":"Mathematical Modelling of Natural Phenomena","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Threshold Behavior of an Age-structured Tumor Immune Model\",\"authors\":\"Zhong Luo, Zijian Liu, Yuanshun Tan, Jin Yang, Huanhuan Qiu\",\"doi\":\"10.1051/mmnp/2023001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present and analyze an age-structured tumor immune model. Based on the fact that tumor cells of different ages tend to exhibit different physiological behaviors, we consider the age structure of tumor cells, age-based proliferation function and age-dependent death function in the model. The threshold $\\\\mathfrak{R}_{0}$ for the existence of tumor-free steady state is derived. It is found that if $\\\\mathfrak{R}_{0}<1$, the tumor-free steady state is not only locally stable but also globally stable. Moreover, numerical simulation shows that the threshold $\\\\mathfrak{R}_{0}$ may be regarded as an index to reflect the ability of ``tumor immune surveillance\\\", \\\\ie, the smaller the $\\\\mathfrak{R}_{0}$, the better the ability of tumor immune surveillance. If $\\\\mathfrak{R}_{0}>1$, it is proved that the tumor steady state is existent and uniformly persistent. The local stability of the tumor steady state is investigated under some further conditions besides $\\\\mathfrak{R}_{0}>1$. In the end, we estimate the system parameters, verify the theoretical results and analyze some system parameters' sensitivities.\",\"PeriodicalId\":18285,\"journal\":{\"name\":\"Mathematical Modelling of Natural Phenomena\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-01-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical Modelling of Natural Phenomena\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1051/mmnp/2023001\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICAL & COMPUTATIONAL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Modelling of Natural Phenomena","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1051/mmnp/2023001","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
Threshold Behavior of an Age-structured Tumor Immune Model
In this paper, we present and analyze an age-structured tumor immune model. Based on the fact that tumor cells of different ages tend to exhibit different physiological behaviors, we consider the age structure of tumor cells, age-based proliferation function and age-dependent death function in the model. The threshold $\mathfrak{R}_{0}$ for the existence of tumor-free steady state is derived. It is found that if $\mathfrak{R}_{0}<1$, the tumor-free steady state is not only locally stable but also globally stable. Moreover, numerical simulation shows that the threshold $\mathfrak{R}_{0}$ may be regarded as an index to reflect the ability of ``tumor immune surveillance", \ie, the smaller the $\mathfrak{R}_{0}$, the better the ability of tumor immune surveillance. If $\mathfrak{R}_{0}>1$, it is proved that the tumor steady state is existent and uniformly persistent. The local stability of the tumor steady state is investigated under some further conditions besides $\mathfrak{R}_{0}>1$. In the end, we estimate the system parameters, verify the theoretical results and analyze some system parameters' sensitivities.
期刊介绍:
The Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original and review papers, short communications and proceedings on mathematical modelling in biology, medicine, chemistry, physics, and other areas. The scope of the journal is devoted to mathematical modelling with sufficiently advanced model, and the works studying mainly the existence and stability of stationary points of ODE systems are not considered. The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to the real world problems. The journal is essentially functioning on the basis of topical issues representing active areas of research. Each topical issue has its own editorial board. The authors are invited to submit papers to the announced issues or to suggest new issues.
Journal publishes research articles and reviews within the whole field of mathematical modelling, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.