Patel A A, Gawlinski E T, Lemieux S K, Gatenby R A
Department of Interventional Radiology, M.D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
J Theor Biol. 2001 Dec 7;213(3):315-31. doi: 10.1006/jtbi.2001.2385.
A hybrid cellular automaton model is described and used to simulate early tumor growth and examine the roles of host tissue vascular density and tumor metabolism in the ability of a small number of monoclonal transformed cells to develop into an invasive tumor. The model incorporates normal cells, tumor cells, necrotic or empty space, and a random network of native microvessels as components of a cellular automaton state vector. Diffusion of glucose and H(+)ions (the latter largely resulting from the tumor's excessive reliance on anaerobic metabolism) to and from the microvessels, and their utilization or production by cells, is modeled through the solution of differential equations. In this way, the cells and microvessels affect the extracellular concentrations of glucose and H(+)which, in turn, affect the evolution of the automaton. Simulations of the model demonstrate that: (i) high tumor H(+)ion production is favorable for tumor growth and invasion; however for every H(+)ion production rate, there exists a range of optimal microvessel densities (leading to a local pH favorable to tumor but not to normal cells) for which growth and invasion is most effective, (ii) at vascular densities below this range, both tumor and normal cells die due to excessively low pH, (iii) for vascular densities above the optimal range the microvessel network is highly efficient at removing acid and therefore the tumor cells lose their advantage over normal cells gained by high local H(+)concentration. While significant spatial gradients of glucose formed, no regions of detrimentally poor glucose perfusion (for either cell type) were observed, regardless of microvessel density. Depending on metabolic phenotype, a variety of tumor morphologies similar to those clinically observed were realized in the simulations. Lastly, a sharp transition (analogous to that of the adenoma-carcinoma sequence) between states of initial tumor confinement and efficient invasiveness was observed when H(+)production reached a critical value.
本文描述了一种混合细胞自动机模型,该模型用于模拟早期肿瘤生长,并研究宿主组织血管密度和肿瘤代谢在少量单克隆转化细胞发展为侵袭性肿瘤的能力中所起的作用。该模型将正常细胞、肿瘤细胞、坏死或空白区域以及天然微血管的随机网络纳入细胞自动机状态向量的组成部分。葡萄糖和H⁺离子(后者主要源于肿瘤对无氧代谢的过度依赖)在微血管之间的扩散以及细胞对它们的利用或产生,通过微分方程的求解进行建模。通过这种方式,细胞和微血管会影响葡萄糖和H⁺的细胞外浓度,而这反过来又会影响自动机的演化。该模型的模拟结果表明:(i)肿瘤产生高H⁺离子有利于肿瘤生长和侵袭;然而,对于每一个H⁺离子产生率,都存在一系列最佳微血管密度(导致局部pH值有利于肿瘤而不利于正常细胞),在此密度下生长和侵袭最为有效,(ii)在低于此范围的血管密度下,肿瘤细胞和正常细胞都会因pH值过低而死亡,(iii)对于高于最佳范围的血管密度,微血管网络在去除酸方面非常高效,因此肿瘤细胞失去了因局部高H⁺浓度而获得的相对于正常细胞的优势。虽然形成了显著的葡萄糖空间梯度,但无论微血管密度如何,均未观察到(对于任何一种细胞类型)葡萄糖灌注严重不良的区域。根据代谢表型,在模拟中实现了多种与临床观察相似的肿瘤形态。最后,当H⁺产生达到临界值时,观察到初始肿瘤局限状态和有效侵袭状态之间的急剧转变(类似于腺瘤 - 癌序列的转变)。