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免疫原性肿瘤的非线性动力学:参数估计与全局分岔分析。

Nonlinear dynamics of immunogenic tumors: parameter estimation and global bifurcation analysis.

作者信息

Kuznetsov V A, Makalkin I A, Taylor M A, Perelson A S

机构信息

Laboratory of Mathematical Immunobiophysics, Russian Academy of Sciences, Moscow.

出版信息

Bull Math Biol. 1994 Mar;56(2):295-321. doi: 10.1007/BF02460644.

Abstract

We present a mathematical model of the cytotoxic T lymphocyte response to the growth of an immunogenic tumor. The model exhibits a number of phenomena that are seen in vivo, including immunostimulation of tumor growth, "sneaking through" of the tumor, and formation of a tumor "dormant state". The model is used to describe the kinetics of growth and regression of the B-lymphoma BCL1 in the spleen of mice. By comparing the model with experimental data, numerical estimates of parameters describing processes that cannot be measured in vivo are derived. Local and global bifurcations are calculated for realistic values of the parameters. For a large set of parameters we predict that the course of tumor growth and its clinical manifestation have a recurrent profile with a 3- to 4-month cycle, similar to patterns seen in certain leukemias.

摘要

我们提出了一个细胞毒性T淋巴细胞对免疫原性肿瘤生长反应的数学模型。该模型展现出了一些在体内观察到的现象,包括肿瘤生长的免疫刺激、肿瘤的“逃逸”以及肿瘤“休眠状态”的形成。该模型用于描述小鼠脾脏中B淋巴瘤BCL1的生长和消退动力学。通过将模型与实验数据进行比较,得出了描述体内无法测量过程的参数的数值估计。针对参数的实际值计算了局部和全局分岔。对于大量参数,我们预测肿瘤生长过程及其临床表现具有3至4个月周期的复发特征,类似于某些白血病中观察到的模式。

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