Saad Farouk Tijjani, Hincal Evren, Kaymakamzade Bilgen
Department of Mathematics, Near East University, North Nicosia, Northern Cyprus, Mersin 10, Turkey.
Comput Math Methods Med. 2017;2017:3573082. doi: 10.1155/2017/3573082. Epub 2017 Oct 26.
This paper aims to study the dynamics of immune suppressors/checkpoints, immune system, and BCG in the treatment of superficial bladder cancer. Programmed cell death protein-1 (PD-1), cytotoxic T-lymphocyte-associated antigen 4 (CTLA4), and transforming growth factor-beta (TGF-) are some of the examples of immune suppressors/checkpoints. They are responsible for deactivating the immune system and enhancing immunological tolerance. Moreover, they categorically downregulate and suppress the immune system by preventing and blocking the activation of T-cells, which in turn decreases autoimmunity and enhances self-tolerance. In cancer immunotherapy, the immune checkpoints/suppressors prevent and block the immune cells from attacking, spreading, and killing the cancer cells, which leads to cancer growth and development. We formulate a mathematical model that studies three possible dynamics of the treatment and establish the effects of the immune checkpoints on the immune system and the treatment at large. Although the effect cannot be seen explicitly in the analysis of the model, we show it by numerical simulations.
本文旨在研究免疫抑制因子/检查点、免疫系统以及卡介苗在浅表性膀胱癌治疗中的动态变化。程序性细胞死亡蛋白1(PD-1)、细胞毒性T淋巴细胞相关抗原4(CTLA4)以及转化生长因子-β(TGF-β)是免疫抑制因子/检查点的一些例子。它们负责使免疫系统失活并增强免疫耐受性。此外,它们通过阻止和阻断T细胞的激活来明确下调和抑制免疫系统,这反过来又降低了自身免疫并增强了自我耐受性。在癌症免疫治疗中,免疫检查点/抑制因子阻止免疫细胞攻击、扩散和杀死癌细胞,从而导致癌症的生长和发展。我们构建了一个数学模型,该模型研究了治疗的三种可能动态变化,并确定了免疫检查点对免疫系统以及整体治疗的影响。尽管在模型分析中无法直接看出这种影响,但我们通过数值模拟展示了它。