曲妥珠单抗治疗对乳腺癌分期和心功能的影响分析:数学建模和数值模拟

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/7970
Maryem EL Karchani, N. I. Fatmi, Karima Mouden
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引用次数: 0

摘要

. 乳腺癌是全世界妇女死亡的第二大常见原因。曲妥珠单抗是首个针对her2阳性转移性乳腺癌的人源化单克隆抗体。然而,曲妥珠单抗最严重的副作用是心脏毒性,这已经成为该药物安全使用的限制因素。在这项研究中,我们研究了曲妥珠单抗治疗对乳腺癌分期和心功能的影响。因此,我们构建了一个基于乳腺癌患者的数学模型。采用微分方程组建立模型,采用平衡点分析和稳定性分析方法研究其时间动力学特性。利用Routh-Hurwitz准则分析了平衡点的稳定性,得到了一个渐近稳定的平衡点。为了验证这些发现,进行了数值模拟,结果表明,无论初始条件如何,平衡点总是稳定的。最后,我们的结果表明,在达到平衡点时,患者的五个亚群将达到稳定状态。
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Analysing the effect of trastuzumab treatment on breast cancer stages and cardiac function: A mathematical modeling and numerical simulation
. Breast cancer is the second most common cause of death among women worldwide. Trastuzumab is the first humanised monoclonal antibody against HER2-positive metastatic breast cancer. However, the most serious side effect of trastuzumab is cardiotoxicity, which has become a limiting factor in the drug’s safe use. In this study, we investigated the effect of trastuzumab treatment on breast cancer stages and cardiac function. Therefore, we constructed a mathematical model based on breast cancer patients. The model was created using a differential equation system, and equilibrium point and stability analysis were employed to study the associated temporal dynamics. The stability of the equilibrium point was analysed using the Routh-Hurwitz criteria, which identified an asymptotically stable equilibrium point. To valudate these findings, numerical simulations were performed, which demonstrated that the equilibrium point is always stable regardless of the initial conditions. Finally, our results suggest that the five sub-populations of patients will reach a stable state upon reaching the equilibrium point.
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来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
期刊介绍: Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.
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