Romero Rodríguez M I, Vargas Pino J C, Sierra-Ballén E L
Departamento de matemáticas. Facultad de Ciencias Básicas y Aplicadas, Universidad Militar Nueva Granada, Km 7 Cajicá-Zipaquirá, Cajicá, Cundinamarca, 250240, Colombia.
Ingeniería Biomédica. Facultad de Ingeniería., Universidad Militar Nueva Granada, Km 7 Cajicá_Zipaquirá, Cajicá, Cundinamarca, 250240, Colombia.
Acta Biotheor. 2025 Mar 18;73(1):4. doi: 10.1007/s10441-025-09494-4.
Osteosarcoma is the most common primary bone cancer. According to medical and biological studies, it has a high genetic complexity, thus, to differentiate the mechanisms of appearance and evolution of this disease is a difficult task. In this paper, we use three simplest and well known mathematical models to describe the behavior of several cell lines of osteosarcoma. First, we use a potential law to describe the tumor growth in immunosuppressed mice; with it we show that the variation of tumor growth has a sublinear behavior without the blow-up phenomenon. Second, the logistic model is used to obtain a good aproximation to the rates of proliferation in cell confluency in in vitro experiments. Third, we use a linear reaction-diffusion model; with it, we describe the diffusion behavior for some cell lines. These three models allow us to give a classification of cell lines according to the rates of tumor growth and proliferation and to the diffusion coefficient. A relationship is found between the rates of the tumor growth, the diffusion coefficient and tumorigenicity. Experimental data are extracted from Lauvrak et al. (British Journal of Cancer 109(8):2228-2236, 2013).
骨肉瘤是最常见的原发性骨癌。根据医学和生物学研究,它具有高度的遗传复杂性,因此,区分这种疾病的发生和演变机制是一项艰巨的任务。在本文中,我们使用三种最简单且广为人知的数学模型来描述骨肉瘤几种细胞系的行为。首先,我们使用一个势函数定律来描述免疫抑制小鼠体内的肿瘤生长;通过它我们表明肿瘤生长的变化具有亚线性行为且无爆炸现象。其次,逻辑斯蒂模型用于在体外实验中获得细胞汇合时增殖速率的良好近似值。第三,我们使用线性反应扩散模型;通过它,我们描述了一些细胞系的扩散行为。这三个模型使我们能够根据肿瘤生长和增殖速率以及扩散系数对细胞系进行分类。发现了肿瘤生长速率、扩散系数与致瘤性之间的关系。实验数据取自Lauvrak等人(《英国癌症杂志》109(8):2228 - 2236,2013年)。