Department of Mathematical Sciences "G. L. Lagrange", Politecnico di Torino, Corso Duca degli Abruzzi, 24, Torino, Italy.
Bull Math Biol. 2021 Jun 15;83(7):83. doi: 10.1007/s11538-021-00914-3.
Hypoxia and acidity act as environmental stressors promoting selection for cancer cells with a more aggressive phenotype. As a result, a deeper theoretical understanding of the spatio-temporal processes that drive the adaptation of tumour cells to hypoxic and acidic microenvironments may open up new avenues of research in oncology and cancer treatment. We present a mathematical model to study the influence of hypoxia and acidity on the evolutionary dynamics of cancer cells in vascularised tumours. The model is formulated as a system of partial integro-differential equations that describe the phenotypic evolution of cancer cells in response to dynamic variations in the spatial distribution of three abiotic factors that are key players in tumour metabolism: oxygen, glucose and lactate. The results of numerical simulations of a calibrated version of the model based on real data recapitulate the eco-evolutionary spatial dynamics of tumour cells and their adaptation to hypoxic and acidic microenvironments. Moreover, such results demonstrate how nonlinear interactions between tumour cells and abiotic factors can lead to the formation of environmental gradients which select for cells with phenotypic characteristics that vary with distance from intra-tumour blood vessels, thus promoting the emergence of intra-tumour phenotypic heterogeneity. Finally, our theoretical findings reconcile the conclusions of earlier studies by showing that the order in which resistance to hypoxia and resistance to acidity arise in tumours depend on the ways in which oxygen and lactate act as environmental stressors in the evolutionary dynamics of cancer cells.
缺氧和酸中毒作为环境胁迫因子,促进了具有侵袭性表型的癌细胞的选择。因此,更深入地了解驱动肿瘤细胞适应缺氧和酸性微环境的时空过程,可能会为肿瘤学和癌症治疗开辟新的研究途径。我们提出了一个数学模型来研究缺氧和酸中毒对血管化肿瘤中癌细胞进化动力学的影响。该模型被构造成一个偏积分微分方程组系统,用于描述癌细胞对三种关键肿瘤代谢因素(氧气、葡萄糖和乳酸)的空间分布动态变化的表型演变。基于真实数据对模型校准版本的数值模拟结果再现了肿瘤细胞的生态进化空间动力学及其对缺氧和酸性微环境的适应。此外,这些结果表明,肿瘤细胞和非生物因素之间的非线性相互作用如何导致环境梯度的形成,从而选择具有表型特征的细胞,这些特征随距离肿瘤内血管的变化而变化,从而促进肿瘤内表型异质性的出现。最后,我们的理论发现调和了早期研究的结论,表明肿瘤中对缺氧和酸中毒的抗性出现的顺序取决于氧气和乳酸在癌细胞进化动力学中作为环境胁迫因子的方式。