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将细胞毒性暴露导致的细胞死亡和存活建模为两态伊辛系统。

Cell death and survival due to cytotoxic exposure modelled as a two-state Ising system.

作者信息

Arbabi Moghadam S, Rezania V, Tuszynski J A

机构信息

Department of Physics, University of Alberta, Edmonton, Alberta, Canada T6G 2E1.

Department of Physical Sciences, MacEwan University, Edmonton, Alberta, Canada T5 J 4S2.

出版信息

R Soc Open Sci. 2020 Feb 12;7(2):191578. doi: 10.1098/rsos.191578. eCollection 2020 Feb.

DOI:10.1098/rsos.191578
PMID:32257323
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7062046/
Abstract

Cancer chemotherapy agents are assessed for their therapeutic utility primarily by their ability to cause apoptosis of cancer cells and their potency is given by an IC50 value. Chemotherapy uses both target-specific and systemic-action drugs and drug combinations to treat cancer. It is important to judiciously choose a drug type, its dosage and schedule for optimized drug selection and administration. Consequently, the precise mathematical formulation of cancer cells' response to chemotherapy may assist in the selection process. In this paper, we propose a mathematical description of the cancer cell response to chemotherapeutic agent exposure based on a time-tested physical model of two-state multiple-component systems near criticality. We describe the Ising model methodology and apply it to a diverse panel of cytotoxic drugs administered against numerous cancer cell lines in a dose-response manner. The analysed dataset was generated by the Netherlands Translational Research Center B.V. (Oncolines). This approach allows for an accurate and consistent analysis of cytotoxic agents' effects on cancer cell lines and reveals the presence or absence of the bystander effect through the interaction constant. By calculating the susceptibility function, we see the value of IC50 coinciding with the peak of this measure of the system's sensitivity to external perturbations.

摘要

癌症化疗药物主要通过其诱导癌细胞凋亡的能力来评估其治疗效用,其效力由半数抑制浓度(IC50)值表示。化疗使用靶向特异性和全身作用的药物以及药物组合来治疗癌症。明智地选择药物类型、剂量和给药方案对于优化药物选择和给药至关重要。因此,癌细胞对化疗反应的精确数学公式可能有助于选择过程。在本文中,我们基于一个经过时间考验的接近临界状态的两态多组分系统物理模型,提出了癌细胞对化疗药物暴露反应的数学描述。我们描述了伊辛模型方法,并将其应用于以剂量反应方式针对多种癌细胞系施用的多种细胞毒性药物。分析的数据集由荷兰转化研究中心B.V.(肿瘤系)生成。这种方法允许对细胞毒性药物对癌细胞系的作用进行准确和一致的分析,并通过相互作用常数揭示旁观者效应的存在与否。通过计算磁化率函数,我们发现IC50值与该系统对外部扰动敏感性的这一指标的峰值一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/02951e0dcdeb/rsos191578-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/88d0e7dbe3d8/rsos191578-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/fa6cde069288/rsos191578-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/4ffe7bb09032/rsos191578-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/295bc292a5ff/rsos191578-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/02951e0dcdeb/rsos191578-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/88d0e7dbe3d8/rsos191578-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/fa6cde069288/rsos191578-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/4ffe7bb09032/rsos191578-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/295bc292a5ff/rsos191578-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4856/7062046/02951e0dcdeb/rsos191578-g5.jpg

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