Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL 33612;
Department of Aerospace & Mechanical Engineering and Mathematics, University of Southern California, Los Angeles, CA 90089-1191.
Proc Natl Acad Sci U S A. 2019 Feb 5;116(6):1918-1923. doi: 10.1073/pnas.1804150116. Epub 2019 Jan 23.
A tumor is made up of a heterogeneous collection of cell types, all competing on a fitness landscape mediated by microenvironmental conditions that dictate their interactions. Despite the fact that much is known about cell signaling, cellular cooperation, and the functional constraints that affect cellular behavior, the specifics of how these constraints (and the range over which they act) affect the macroscopic tumor growth laws that govern total volume, mass, and carrying capacity remain poorly understood. We develop a statistical mechanics approach that focuses on the total number of possible states each cell can occupy and show how different assumptions on correlations of these states give rise to the many different macroscopic tumor growth laws used in the literature. Although it is widely understood that molecular and cellular heterogeneity within a tumor is a driver of growth, here we emphasize that focusing on the functional coupling of states at the cellular level is what determines macroscopic growth characteristics.
肿瘤由异质细胞类型组成,所有细胞都在由微环境条件介导的适应度景观中竞争,这些条件决定了它们的相互作用。尽管人们对细胞信号转导、细胞合作以及影响细胞行为的功能限制有了很多了解,但这些限制(以及它们作用的范围)如何影响控制总体体积、质量和承载能力的宏观肿瘤生长规律仍知之甚少。我们开发了一种统计力学方法,该方法侧重于每个细胞可以占据的可能状态的总数,并展示了对这些状态相关性的不同假设如何导致文献中使用的许多不同的宏观肿瘤生长规律。尽管人们普遍认为肿瘤内的分子和细胞异质性是生长的驱动因素,但在这里我们强调,关注细胞水平上状态的功能耦合是决定宏观生长特征的关键。