Kiel Christina, Benisty Hannah, Lloréns-Rico Veronica, Serrano Luis
EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation, Barcelona, Spain.
Universitat Pompeu Fabra, Barcelona, Spain.
Elife. 2016 Jan 8;5:e12814. doi: 10.7554/eLife.12814.
Many driver mutations in cancer are specific in that they occur at significantly higher rates than - presumably - functionally alternative mutations. For example, V600E in the BRAF hydrophobic activation segment (AS) pocket accounts for >95% of all kinase mutations. While many hypotheses tried to explain such significant mutation patterns, conclusive explanations are lacking. Here, we use experimental and in silico structure-energy statistical analyses, to elucidate why the V600E mutation, but no other mutation at this, or any other positions in BRAF's hydrophobic pocket, is predominant. We find that BRAF mutation frequencies depend on the equilibrium between the destabilization of the hydrophobic pocket, the overall folding energy, the activation of the kinase and the number of bases required to change the corresponding amino acid. Using a random forest classifier, we quantitatively dissected the parameters contributing to BRAF AS cancer frequencies. These findings can be applied to genome-wide association studies and prediction models.
癌症中的许多驱动突变具有特异性,因为它们的发生率明显高于(据推测)功能上的替代突变。例如,BRAF疏水激活片段(AS)口袋中的V600E突变占所有激酶突变的95%以上。虽然许多假说试图解释这种显著的突变模式,但仍缺乏确凿的解释。在这里,我们使用实验和计算机结构-能量统计分析,来阐明为什么V600E突变在BRAF疏水口袋的这个位置或任何其他位置占主导地位,而不是其他突变。我们发现,BRAF突变频率取决于疏水口袋的去稳定化、整体折叠能量、激酶的激活以及改变相应氨基酸所需的碱基数之间的平衡。使用随机森林分类器,我们定量分析了导致BRAF AS癌症频率的参数。这些发现可应用于全基因组关联研究和预测模型。