免疫系统在癌症化疗中作用的数学模型

Wesley Felipe Ferreira Mora Gil, T. Carvalho, P. Mancera, D. S. Rodrigues
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引用次数: 6

摘要

肿瘤疾病的发病率表明,寻找更有效的癌症治疗方法仍然是必要的。除了化疗和放疗等标准治疗外,免疫学的最新进展也关注了新的治疗方式。由于很少有人讨论化疗对免疫系统和其他正常的“健康”细胞的影响的生物学含义,因此我们致力于目前的数学建模工作。首先,我们证明了所有状态变量(即癌细胞、正常细胞和免疫细胞的数量以及化疗的数量)保持为正的区域的不变性;然后从系统的线性稳定性角度对模型进行分析,建立了{\it{cure}}平衡点局部稳定的充分必要条件。此外,我们模拟了一些涉及免疫系统和化疗的场景,表明当它们适当地结合在一起时,就会出现合理的治疗策略。
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A Mathematical Model on the Immune System Role in Achieving Better Outcomes of Cancer Chemotherapy
The incidence of neoplastic diseases shows that the search for more effective cancer treatments is still necessary. In addition to standard treatments such as chemo- and radiotherapy, new treatment modalities have been focused in recent advances in immunology. Since little has been discussed about the biological implications of chemotherapy with respect to its impact on the immune system and on the other normal, ``healthy'' cells, we devote the present mathematical modeling work to do so. First, we prove the invariance of the region where all state variables remain positive (i.e., the number of cancer cells, normal cells and immune cells, and the amount of chemotherapy); afterwards, we analyze the model in terms of the linear stability of the system, and we establish a necessary and sufficient condition for the local stability of the {\it{cure}} equilibrium point. Moreover, we simulate some scenarios involving both the immune system and chemotherapy, showing that a reasonable treatment strategy occurs when these are combined suitably.
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