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 m...
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Veröffentlicht in: | Mathematical modelling of natural phenomena 2023, Vol.18, p.6 |
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creator | Luo, Zhonghu Liu, Zijian Tan, Yuanshun Yang, Jin Qiu, Huanhuan |
description | 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
R
0
for the existence of tumor-free steady state is derived. It is found that if
R
0
> 1, the tumor-free steady state is not only locally stable but also globally stable. Moreover, numerical simulation shows that the threshold
R
0
may be regarded as an index to reflect the ability of “tumor immune surveillance”, that is, the smaller the
R
0
, the better the ability of tumor immune surveillance. If
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
R
0
> 1. In the end, we estimate the system parameters, verify the theoretical results and analyze some system parameters’ sensitivities. |
doi_str_mv | 10.1051/mmnp/2023001 |
format | Article |
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R
0
for the existence of tumor-free steady state is derived. It is found that if
R
0
> 1, the tumor-free steady state is not only locally stable but also globally stable. Moreover, numerical simulation shows that the threshold
R
0
may be regarded as an index to reflect the ability of “tumor immune surveillance”, that is, the smaller the
R
0
, the better the ability of tumor immune surveillance. If
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
R
0
> 1. In the end, we estimate the system parameters, verify the theoretical results and analyze some system parameters’ sensitivities.</description><identifier>ISSN: 0973-5348</identifier><identifier>EISSN: 1760-6101</identifier><identifier>DOI: 10.1051/mmnp/2023001</identifier><language>eng</language><ispartof>Mathematical modelling of natural phenomena, 2023, Vol.18, p.6</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c230t-fdedf36538680fbcca9c845ba01376dcbdc477f5b7adb269c50be6ec75a5bec93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><creatorcontrib>Luo, Zhonghu</creatorcontrib><creatorcontrib>Liu, Zijian</creatorcontrib><creatorcontrib>Tan, Yuanshun</creatorcontrib><creatorcontrib>Yang, Jin</creatorcontrib><creatorcontrib>Qiu, Huanhuan</creatorcontrib><title>Threshold behavior of an age-structured tumor immune model</title><title>Mathematical modelling of natural phenomena</title><description>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
R
0
for the existence of tumor-free steady state is derived. It is found that if
R
0
> 1, the tumor-free steady state is not only locally stable but also globally stable. Moreover, numerical simulation shows that the threshold
R
0
may be regarded as an index to reflect the ability of “tumor immune surveillance”, that is, the smaller the
R
0
, the better the ability of tumor immune surveillance. If
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
R
0
> 1. In the end, we estimate the system parameters, verify the theoretical results and analyze some system parameters’ sensitivities.</description><issn>0973-5348</issn><issn>1760-6101</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNotj89KxDAYxIMouKx78wHyAMb90jRJ600WdYUFL-u55M8XW2naJWkF394u7lzmMMMwP0LuOTxykHwb43DaFlAIAH5FVlwrYIoDvyYrqLVgUpTVLdnk_A2LBC-X4oo8HduEuR17Ty225qcbEx0DNQM1X8jylGY3zQk9nea4RF2M84A0jh77O3ITTJ9xc_E1-Xx9Oe727PDx9r57PjC3fJlY8OiDUFJUqoJgnTO1q0ppDXChlXfWu1LrIK023haqdhIsKnRaGmnR1WJNHv53XRpzThiaU-qiSb8Nh-aM3pzRmwu6-AOAik3R</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Luo, Zhonghu</creator><creator>Liu, Zijian</creator><creator>Tan, Yuanshun</creator><creator>Yang, Jin</creator><creator>Qiu, Huanhuan</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2023</creationdate><title>Threshold behavior of an age-structured tumor immune model</title><author>Luo, Zhonghu ; Liu, Zijian ; Tan, Yuanshun ; Yang, Jin ; Qiu, Huanhuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c230t-fdedf36538680fbcca9c845ba01376dcbdc477f5b7adb269c50be6ec75a5bec93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luo, Zhonghu</creatorcontrib><creatorcontrib>Liu, Zijian</creatorcontrib><creatorcontrib>Tan, Yuanshun</creatorcontrib><creatorcontrib>Yang, Jin</creatorcontrib><creatorcontrib>Qiu, Huanhuan</creatorcontrib><collection>CrossRef</collection><jtitle>Mathematical modelling of natural phenomena</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luo, Zhonghu</au><au>Liu, Zijian</au><au>Tan, Yuanshun</au><au>Yang, Jin</au><au>Qiu, Huanhuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Threshold behavior of an age-structured tumor immune model</atitle><jtitle>Mathematical modelling of natural phenomena</jtitle><date>2023</date><risdate>2023</risdate><volume>18</volume><spage>6</spage><pages>6-</pages><issn>0973-5348</issn><eissn>1760-6101</eissn><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
R
0
for the existence of tumor-free steady state is derived. It is found that if
R
0
> 1, the tumor-free steady state is not only locally stable but also globally stable. Moreover, numerical simulation shows that the threshold
R
0
may be regarded as an index to reflect the ability of “tumor immune surveillance”, that is, the smaller the
R
0
, the better the ability of tumor immune surveillance. If
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
R
0
> 1. In the end, we estimate the system parameters, verify the theoretical results and analyze some system parameters’ sensitivities.</abstract><doi>10.1051/mmnp/2023001</doi><oa>free_for_read</oa></addata></record> |
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title | Threshold behavior of an age-structured tumor immune model |
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