Analisis dan Strategi Pengendalian Model Matematika Interaksi Sel Kanker Leukemia Mielositik Kronis dan Sel Imunitas

Nanda Amalia Rahma, Cicik Alfiniyah, Windarto Windarto
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Abstract

Leukemia is a disease in the classification of cancer in the blood that is characterized by abnormal growth of blood cells in the bone marrow or lymphoid tissue, and generally occurs in leukocytes or white blood cells. White blood cells that look for types of pathogenic diseases that harm the human body and then damage it are the task of the immune system. This thesis analyzes the mathematical model of chronic myelocytic leukemia cancer cell interactions and immune cells to determine the rate of increase in the population of chronic myelocytic leukemia cancer cells to the effect of immune cells. Based on the analysis of the model obtained two equilibrium points namely the equilibrium point of the extinction of chronic myelocytic leukemia cancer cells (E0) and the equilibrium point of the coexistence of chronic myelocytic leukemia cancer cells (E1). The equilibrium point of extinction will be asymptotically stable, whereas the equilibrium point of coexistence tends to be asymptotically stable using phase fields with the help of MATLAB software. Numerical simulation results show that there is an increase in the number of chronic myelocytic leukemia cancer cell populations and a decrease in the number of vulnerable blood cell populations. When immune cells increase in population, chronic myelocytic leukemia in cancer cells decreases in population but is not significant.
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慢性中位白血病白血病与免疫细胞相互作用的数学模型分析与策略
白血病是血液肿瘤分类中的一种疾病,其特征是骨髓或淋巴组织中血细胞的异常生长,一般发生在白细胞或白细胞中。免疫系统的任务是白血球寻找对人体有害的致病性疾病,然后将其破坏。本文通过分析慢性髓细胞白血病癌细胞与免疫细胞相互作用的数学模型,确定慢性髓细胞白血病癌细胞种群增加速率对免疫细胞的影响。通过对模型的分析,得到两个平衡点,即慢性粒细胞白血病癌细胞灭绝的平衡点(E0)和慢性粒细胞白血病癌细胞共存的平衡点(E1)。借助MATLAB软件,利用相场计算,消光平衡点趋于渐近稳定,共存平衡点趋于渐近稳定。数值模拟结果表明,慢性髓细胞白血病肿瘤细胞群数量增加,易损血细胞群数量减少。当免疫细胞数量增加时,慢性髓细胞白血病癌细胞数量减少,但不显著。
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