Durrett R, Foo J, Leder K
Deptartment of Mathematics, Duke University, Box. 90320, Durham, NC, 27708-0320, USA.
Deptartment of Mathematics, University of Minnesota, Minneapolis, MN, 55455, USA.
J Math Biol. 2016 Apr;72(5):1369-400. doi: 10.1007/s00285-015-0912-1. Epub 2015 Jul 1.
We study the accumulation and spread of advantageous mutations in a spatial stochastic model of cancer initiation on a lattice. The parameters of this general model can be tuned to study a variety of cancer types and genetic progression pathways. This investigation contributes to an understanding of how the selective advantage of cancer cells together with the rates of mutations driving cancer, impact the process and timing of carcinogenesis. These results can be used to give insights into tumor heterogeneity and the "cancer field effect," the observation that a malignancy is often surrounded by cells that have undergone premalignant transformation.
我们在晶格上的癌症起始空间随机模型中研究有利突变的积累和传播。这个通用模型的参数可以进行调整,以研究多种癌症类型和遗传进展途径。这项研究有助于理解癌细胞的选择性优势以及驱动癌症的突变率如何影响致癌过程和时机。这些结果可用于深入了解肿瘤异质性和“癌场效应”,即恶性肿瘤周围常常存在已发生癌前转化细胞的这一观察结果。