中文摘要：

就肿瘤的生长而言，房间在有免疫力的监视下面由酶为动态过程建模，我们同时在反肿瘤免疫疗法学习了易于趋于增加的噪音和外部治疗干预的肿瘤房间的单个变量的生长动力学。上述反肿瘤免疫疗法模型的肿瘤生长的法律通过数字模拟被揭示到相关随机的动态微分方程。治疗的 Twosimulative 参数，即，治疗紧张和治疗责任周期，被介绍描绘类似于肿瘤诊所治疗的治疗进程。在那里存在在一种腐烂代表的形式，分别地把治疗的参数区域划分成一个病人和一个有效治疗地区的一条批评治疗边界。当批评治疗紧张与提高的免疫因此减少时，一个更大的批评治疗责任周期是必要的为更低的治疗紧张完成有效治疗。有典型 non-hodgekin 的淋巴瘤的病人的主要诊所观察被执行，并且出现在诊所观察和动态模拟之间的一个基本协议。

英文摘要：

Considering the growth of tumor cells modeled by an enzyme dynamic process under an immune surveillance, we studied in anti-tumor immunotherapy the single-variable growth dynamics of tumor cells subject to a multiplicative noise and an external therapy intervention simultaneously. The law of tumor growth of the above anti-tumor immunotherapy model was revealed through numerical simulations to the relevant stochastic dynamic differential equation. Two simulative parameters of therapy, i.e., therapy intensity and therapy duty-cycle, were introduced to characterize a treatment process similar to a tumor clinic therapy. There exists a critical therapy boundary which, in an exponent-decaying form, divides the parameter region of therapy into an invalid and a valid treatment zone, respectively. A greater critical therapy duty-cycle is necessary to achieve a valid treatment for a lower therapy intensity while the critical therapy intensity decreases accordingly with an enhancing immunity. A primary clinic observation of the patients with the typical non-hodgekin＇s lymphoma was carried out, and there appears a basic agreement between clinic observations and dynamic simulations.