Department of Applied Mathematics, University of Washington, United States of America.
Department of Applied Mathematics, University of Washington, United States of America.
Theor Popul Biol. 2023 Jun;151:44-63. doi: 10.1016/j.tpb.2023.04.001. Epub 2023 Apr 24.
We study a multi-stage model for the development of colorectal cancer from initially healthy tissue. The model incorporates a complex sequence of driver gene alterations, some of which result in immediate growth advantage, while others have initially neutral effects. We derive analytic estimates for the sizes of premalignant subpopulations, and use these results to compute the waiting times to premalignant and malignant genotypes. This work contributes to the quantitative understanding of colorectal tumor evolution and the lifetime risk of colorectal cancer.
我们研究了从最初健康的组织发展为结直肠癌的多阶段模型。该模型包含了一系列复杂的驱动基因突变，其中一些导致了即时的生长优势，而另一些则最初具有中性效应。我们推导出了前癌亚群大小的解析估计，并利用这些结果计算了前癌和恶性基因型的等待时间。这项工作有助于定量理解结直肠肿瘤的进化和结直肠癌的终身风险。
