Quantification of the Selective Advantage of Driver Mutations Is Dependent on the Underlying Model and Stage of Tumor Evolution
Quantification of the Selective Advantage of Driver Mutations Is Dependent on the Underlying Model and Stage of Tumor Evolution
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DOI：
10.1158/0008-5472.can-21-1064
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发表时间：
2022-01-01
期刊：
影响因子：
11.2
通讯作者：
Bozic, Ivana
中科院分区：
文献类型：
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作者：
Bozic, Ivana
测量驱动突变提供的选择适应度优势有可能促进对癌症进化的精确定量理解。然而，准确测量驱动突变的选择优势仍然是该领域的一个挑战。早期的研究报告说，司机的选择优势很小，大约为1%，而较新的研究报告说，选择优势要大得多，高达1200%。在本文中，我们认为计算出的癌症驱动因素的选择优势取决于潜在的数学模型和癌症进化的阶段，而不考虑潜在的模型和阶段的选择优势的数值比较可能导致虚假的结论。
Measuring the selective fitness advantages provided by driver mutations has the potential to facilitate a precise quantitative understanding of cancer evolution. However, accurately measuring the selective advantage of driver mutations has remained a challenge in the field. Early studies reported small selective advantages of drivers, on the order of 1%, whereas newer studies report much larger selective advantages, as high as 1,200%. In this article, we argue that the calculated selective advantages of cancer drivers are dependent on the underlying mathematical model and stage of cancer evolution and that comparisons of numerical values of selective advantage without regard for the underlying model and stage can lead to spurious conclusions.