Wei Hsiu-Chuan, Yu Jui-Ling, Hsu Chia-Yu
Department of Applied Mathematics, Feng Chia University, Seatwen, Taichung 40724, Taiwan.
Department of Financial and Computational Mathematics, Providence University, Shalu Dist., Taichung 43301, Taiwan.
Comput Math Methods Med. 2017;2017:2906282. doi: 10.1155/2017/2906282. Epub 2017 Nov 9.
Immunotherapy is one of the most recent approaches for controlling and curing malignant tumors. In this paper, we consider a mathematical model of periodically pulsed immunotherapy using CD4 T cells and an antitumor cytokine. Mathematical analyses are performed to determine the threshold of a successful treatment. The interindividual variability is explored by one-, two-, and three-parameter bifurcation diagrams for a nontreatment case. Numerical simulation conducted in this paper shows that (i) the tumor can be regulated by administering CD4 T cells alone in a patient with a strong immune system or who has been diagnosed at an early stage, (ii) immunotherapy with a large amount of an antitumor cytokine can boost the immune system to remit or even to suppress tumor cells completely, and (iii) through polytherapy the tumor can be kept at a smaller size with reduced dosages.
免疫疗法是控制和治愈恶性肿瘤的最新方法之一。在本文中,我们考虑了一个使用CD4 T细胞和抗肿瘤细胞因子的周期性脉冲免疫疗法的数学模型。进行数学分析以确定成功治疗的阈值。通过非治疗案例的单参数、双参数和三参数分岔图来探索个体间的变异性。本文进行的数值模拟表明:(i)在免疫系统较强或已在早期被诊断出的患者中,单独给予CD4 T细胞可以调节肿瘤;(ii)使用大量抗肿瘤细胞因子的免疫疗法可以增强免疫系统,使肿瘤缓解甚至完全抑制肿瘤细胞;(iii)通过联合治疗,可以用减少的剂量将肿瘤保持在较小的尺寸。