Gibbs Cancer Center and Research Institute, Spartanburg, SC, United States of America.
Department of Biomedical Sciences, Edward Via College of Osteopathic Medicine, Blacksburg, VA, United States of America.
PLoS Comput Biol. 2019 Mar 7;15(3):e1006881. doi: 10.1371/journal.pcbi.1006881. eCollection 2019 Mar.
Individual instances of cancer are primarily a result of a combination of a small number of genetic mutations (hits). Knowing the number of such mutations is a prerequisite for identifying specific combinations of carcinogenic mutations and understanding the etiology of cancer. We present a mathematical model for estimating the number of hits based on the distribution of somatic mutations. The model is fundamentally different from previous approaches, which are based on cancer incidence by age. Our somatic mutation based model is likely to be more robust than age-based models since it does not require knowing or accounting for the highly variable mutation rate, which can vary by over three orders of magnitude. In fact, we find that the number of somatic mutations at diagnosis is weakly correlated with age at cancer diagnosis, most likely due to the extreme variability in mutation rates between individuals. Comparing the distribution of somatic mutations predicted by our model to the actual distribution from 6904 tumor samples we estimate the number of hits required for carcinogenesis for 17 cancer types. We find that different cancer types exhibit distinct somatic mutational profiles corresponding to different numbers of hits. Why might different cancer types require different numbers of hits for carcinogenesis? The answer may provide insight into the unique etiology of different cancer types.
个体癌症病例主要是少数基因突变(命中)的组合结果。了解此类突变的数量是识别致癌突变的特定组合和理解癌症病因的前提。我们提出了一种基于体细胞突变分布的估计命中数量的数学模型。该模型与以前基于年龄的癌症发病率的方法在根本上不同。我们的基于体细胞突变的模型可能比基于年龄的模型更稳健,因为它不需要知道或考虑高度可变的突变率,这种突变率可能相差三个数量级以上。事实上,我们发现诊断时的体细胞突变数量与癌症诊断时的年龄弱相关,这很可能是由于个体之间的突变率存在极端差异。将我们模型预测的体细胞突变分布与 6904 个肿瘤样本的实际分布进行比较,我们估计了 17 种癌症类型致癌所需的命中数量。我们发现,不同的癌症类型表现出不同的体细胞突变特征,对应于不同数量的命中。为什么不同的癌症类型需要不同数量的命中才能致癌?答案可能为不同癌症类型的独特病因提供了一些见解。