PKPD癌症进化模型中化疗-免疫联合治疗方案的最优控制分析

Q2 Agricultural and Biological Sciences Biomath Pub Date : 2020-03-02 DOI:10.11145/j.biomath.2020.02.137
Anuraag Bukkuri
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引用次数: 10

摘要

作者构建了一个捕捉肿瘤免疫动力学的数学模型,包括耐药性的演变,给药的药代动力学和药效学,以及免疫治疗的可能性。通过数值模拟分析了不同处理条件下的模型。进行敏感性分析,以确定对效应细胞、耐药和敏感肿瘤细胞群差异贡献最大的参数。然后,进行详细的最优控制分析,以及对假设患者的最佳治疗概况的数值模拟。
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Optimal control analysis of combined chemotherapy-immunotherapy treatment regimens in a PKPD cancer evolution model
The author constructs a mathematical model capturing tumor-immune dynamics, incorporating the evolution of drug resistance, pharmacokinetics and pharmacodynamics of administered drugs, and immunotherapy possibilities. Numerical simulations are performed to analyze the model under a variety of treatment possibilities. A sensitivity analysis is performed to determine the parameters contributing the most to the variance in effector cell, resistant, and sensitive tumor cell populations. Then, a detailed optimal control analysis is performed, along with a numerical simulation of optimal treatment profiles for a hypothetical patient.
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来源期刊
Biomath
Biomath Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.20
自引率
0.00%
发文量
6
审稿时长
20 weeks
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