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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)

CiteScore

2.20

自引率

0.00%

发文量

审稿时长

20 weeks