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Mathematical modeling and analysis of combinational immune boost for tumor elimination

机译:肿瘤消除组合免疫增压的数学建模与分析

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The immune system has an ability to recognize tumor as non-self antigen, and initiates inflammatory response to eliminate tumor. A dendritic cell (DCs) population is one of immune cell subsets that specifically uptakes foreign antigen and then presents to T cells. Dendritic cell boost ex vivo is operated to enhance immune response against tumor that in general comes to fail due to several complex reasons. Although dendritic cell therapy has been operated in clinical trials by boosting tumor immune responses, less is known about dynamic behaviors generated by interactions among immune cell subsets and tumor cells. In this paper, we construct and analyze a mathematical model describing tumor killing by T cells activated by dendritic cells. A handling time representing a waiting time required for T cells to be activated during antigen presentation is incorporated in our model. Mathematical analyses imply that successful tumor elimination depends on the amount of T cells activated ex vivo when introduced. Moreover, numerical simulations imply that an immune escape basin in which tumor can escape from T cell responses increases when the handling time increases, indicating that efficient tumor elimination might result in immediate T cell inactivation due to rapid decline of antigenic stimulation.
机译:免疫系统具有识别肿瘤作为非自我抗原的能力,并开始消除肿瘤的炎症反应。树突细胞(DCS)群是特别适度的外来抗原,然后呈现给T细胞的免疫细胞亚群体之一。树突细胞增强前体内用于增强对肿瘤的免疫应答,通常由于几个复杂的原因而导致失败。尽管通过促进肿瘤免疫应答在临床试验中在临床试验中运行了树突细胞疗法,但是较少关于通过免疫细胞亚群和肿瘤细胞之间的相互作用产生的动态行为。在本文中,我们构建并分析了树突细胞激活的T细胞猝灭的数学模型。在我们的模型中结合了代表在抗原呈现期间激活的T细胞所需的等待时间的处理时间。数学分析意味着成功的肿瘤消除取决于引入时激活的T细胞的量。此外,数值模拟意味着当处理时间增加时,其中肿瘤可以从T细胞反应中逸出的免疫逃生盆地增加,表明抗原刺激的快速下降,肿瘤消除可能导致立即的T细胞失活。

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