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Mathematical modeling and bifurcation analysis for a biological mechanism of cancer drug resistance

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成果类型:
期刊论文
作者:
Bao, Kangbo;Liang, Guizhen;Tian, Tianhai;Zhang, Xinan
通讯作者:
Zhang, XA;Tian, TH
作者机构:
[Bao, Kangbo] Lanzhou Univ Finance & Econ, Sch Informat Engn & Artificial Intelligence, Lanzhou 730020, Peoples R China.
[Zhang, Xinan; Bao, Kangbo; Zhang, XA] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
[Liang, Guizhen] Xinxiang Univ, Sch Math & Informat Sci, Xinxiang 453003, Henan, Peoples R China.
[Tian, Tianhai] Monash Univ, Sch Math Sci, Melbourne, Vic 3800, Australia.
通讯机构:
[Zhang, XA ] C
[Tian, TH ] M
Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
Monash Univ, Sch Math Sci, Melbourne, Vic 3800, Australia.
语种:
英文
关键词:
mathematical model;drug resistance;cancer heterogeneity;immune system;targeted therapy
期刊:
数学物理学报(英文版)
ISSN:
0252-9602
年:
2024
卷:
44
期:
3
页码:
1165-1188
基金类别:
National Natural Science Foundation of China [11871238, 11931019, 12371486]
机构署名:
本校为通讯机构
院系归属:
数学与统计学学院
摘要:
Drug resistance is one of the most intractable issues in targeted therapy for cancer diseases. It has also been demonstrated to be related to cancer heterogeneity, which promotes the emergence of treatment-refractory cancer cell populations. Focusing on how cancer cells develop resistance during the encounter with targeted drugs and the immune system, we propose a mathematical model for studying the dynamics of drug resistance in a conjoint heterogeneous tumor-immune setting. We analyze the local geometric properties of the equilibria of the model. Numerical simulations show that the selective...

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