The development of drug resistance in metastatic tumours under chemotherapy: An evolutionary perspective

IF 1.9 4区 数学 Q2 BIOLOGY
Federica Padovano , Chiara Villa
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引用次数: 0

Abstract

We present a mathematical model of the evolutionary dynamics of a metastatic tumour under chemotherapy, comprising non-local partial differential equations for the phenotype-structured cell populations in the primary tumour and its metastasis. These equations are coupled with a physiologically-based pharmacokinetic model of drug administration and distribution, implementing a realistic delivery schedule. The model is carefully calibrated from the literature, focusing on BRAF-mutated melanoma treated with Dabrafenib as a case study. By means of long-time asymptotic and global sensitivity analyses, as well as numerical simulations, we explore the impact of cell migration from the primary to the metastatic site, physiological aspects of the tumour tissues and drug dose on the development of chemoresistance and treatment efficacy. Our findings provide a possible explanation for empirical evidence indicating that chemotherapy may foster metastatic spread and that metastases may be less impacted by the chemotherapeutic agent.
化疗下转移性肿瘤耐药性的发展:从进化角度看
我们提出了一个化疗下转移性肿瘤演变动态的数学模型,其中包括原发肿瘤及其转移瘤中表型结构细胞群的非局部偏微分方程。这些方程与基于生理学的给药和分布药代动力学模型相结合,实现了现实的给药时间表。该模型根据文献进行了仔细校准,并以使用达拉非尼治疗的 BRAF 突变黑色素瘤为案例进行了研究。通过长期渐近分析和全局敏感性分析以及数值模拟,我们探讨了细胞从原发部位向转移部位迁移、肿瘤组织的生理方面以及药物剂量对化疗耐药性的发展和治疗效果的影响。我们的研究结果为经验证据提供了一种可能的解释,即化疗可能会促进转移扩散,而转移灶受到化疗药物的影响可能较小。
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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