Mathematical Model of Cancer Immunotherapy by Dendritic Cells Combined with Tumor Hypoxia Treatment

Abazar Arabameri, D. Asemani, J. Hajati
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引用次数: 1

Abstract

To understand complex immunological mechanisms alongside avoiding huge experimentation costs, mathematical modelling has been used in the development of anticancer drugs. In this paper, a mathematical model is proposed to describe the roles of hypoxia-inducible factors (HIFs) (transcription factors released by tumors in response to a decrease in available oxygen), in the interactions between the tumor and the immune system. For this purpose, a previously published model of immunotherapy with dendritic cells (DCs) is extended so as to incorporate the treatment with an HIF inhibitor drug. Based on the experimental data, this extended model is calibrated for the model parameters leading to an acceptable level of the mean absolute percentage error in the validation phase. The proposed model is capable of determining the most effective immunosuppressive mechanism by which the HIF effects, and the effect of HIF on DCs and inflammatory factors of the immune system has been found to be of great importance.
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树突状细胞联合肿瘤缺氧免疫治疗肿瘤的数学模型
为了了解复杂的免疫机制,同时避免巨大的实验成本,数学模型已被用于抗癌药物的开发。本文提出了一个数学模型来描述缺氧诱导因子(hypoxia-inducible factors, hif)(肿瘤响应于可用氧减少而释放的转录因子)在肿瘤与免疫系统相互作用中的作用。为此,对先前发表的树突状细胞(DCs)免疫治疗模型进行了扩展,以便将HIF抑制剂药物纳入治疗。基于实验数据,对该扩展模型的模型参数进行了校准,从而使验证阶段的平均绝对百分比误差达到可接受的水平。该模型能够确定HIF作用的最有效的免疫抑制机制,并发现HIF对dc和免疫系统炎症因子的影响非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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