癌症乳腺癌模型治疗化疗所致中性粒细胞减少症的动力学

IF 1.4 Q2 MATHEMATICS, APPLIED
M. Fathoni, F. Adi-Kusumo, Gunardi Gunardi, S. Hutajulu
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引用次数: 0

摘要

乳腺癌是一种发病率很高的癌症。通过化疗治疗乳腺癌会对全身的健康细胞造成风险。中性粒细胞是受化疗药物影响的细胞之一。化疗引起的中性粒细胞减少症是患者最常见的毒性反应之一,经常威胁到化疗的使用效率。在本文中,我们介绍了血液成分,即中性粒细胞、淋巴细胞和白蛋白与化疗药物之间的相互作用模型。该模型对于从数学角度理解化疗引起的中性粒细胞减少效应以及计算乳腺癌患者的生存水平具有重要意义。我们的模型是一个具有13维参数空间的一阶ODE的四维系统。我们的研究重点是了解稳态条件和参数值变化时的分岔。在这里,我们还研究了白蛋白在减少乳腺癌患者中性粒细胞减少效应中的作用,其结果可以作为治疗乳腺癌病例中性粒细胞减少的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamics of a Breast Cancer Model for Neutropenia Case due to Chemotherapy Effects
Breast cancer is a type of carcinoma with a high prevalence. The treatment of breast cancer through chemotherapy can cause a risk to healthy cells throughout the body. The neutrophil is one of the cells that is influenced by chemotherapy drugs. Chemotherapy-induced neutropenia is one of the most common toxic effects experienced by patients and often threatens chemotherapy to use efficiency. In this paper, we introduce an interaction model between blood components, i.e., neutrophil, lymphocytes, and albumin, with chemotherapy drugs. The model is important to understand the neutropenia effect due to chemotherapy in mathematical perspective and to calculate breast cancer patients’ survival level. Our model is a four-dimensional system of the first-order ODE with 13-dimensional parameter space. We focus our study for understanding the steady-state conditions and the bifurcations when the parameter values are varied. Here, we also study the role of albumin for reducing the neutropenia effects for breast cancer patients mathematically, where the results can be used as an alternative solution for treating neutropenia in a breast cancer case.
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
20 weeks
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