Tan Hua, Bao Jiguang, Zhou Xiaobo
1] Center for Bioinformatics &Systems Biology, Department of Radiology, Wake Forest School of Medicine, Winston-Salem 27157, USA [2] College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China.
School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China.
Sci Rep. 2015 Jul 27;5:12566. doi: 10.1038/srep12566.
Cancer is widely recognized as a genetic disease in which somatic mutations are sequentially accumulated to drive tumor progression. Although genomic landscape studies are informative for individual cancer types, a comprehensive comparative study of tumorigenic mutations across cancer types based on integrative data sources is still a pressing need. We systematically analyzed ~10(6) non-synonymous mutations extracted from COSMIC, involving ~8000 genome-wide screened samples across 23 major human cancers at both the amino acid and gene levels. Our analysis identified cancer-specific heterogeneity that traditional nucleotide variation analysis alone usually overlooked. Particularly, the amino acid arginine (R) turns out to be the most favorable target of amino acid alteration in most cancer types studied (P < 10(-9), binomial test), reflecting its important role in cellular physiology. The tumor suppressor gene TP53 is mutated exclusively with the HYDIN, KRAS, and PTEN genes in large intestine, lung, and endometrial cancers respectively, indicating that TP53 takes part in different signaling pathways in different cancers. While some of our analyses corroborated previous observations, others indicated relevant candidates with high priority for further experimental validation. Our findings have many ramifications in understanding the etiology of cancer and the underlying molecular mechanisms in particular cancers.
癌症被广泛认为是一种基因疾病,其中体细胞突变会依次积累以驱动肿瘤进展。尽管基因组格局研究对个别癌症类型具有参考价值,但基于综合数据源对不同癌症类型的致瘤突变进行全面的比较研究仍然十分迫切。我们系统地分析了从癌症体细胞突变目录(COSMIC)中提取的约10⁶个非同义突变,涉及23种主要人类癌症中约8000个全基因组筛查样本的氨基酸和基因水平。我们的分析确定了传统核苷酸变异分析通常会忽略的癌症特异性异质性。特别是,在大多数所研究的癌症类型中,氨基酸精氨酸(R)成为氨基酸改变的最有利靶点(P < 10⁻⁹,二项式检验),这反映了其在细胞生理学中的重要作用。肿瘤抑制基因TP53分别在大肠癌、肺癌和子宫内膜癌中仅与HYDIN、KRAS和PTEN基因发生突变,表明TP53在不同癌症中参与不同的信号通路。虽然我们的一些分析证实了先前的观察结果,但其他分析表明了具有高度优先性的相关候选物,有待进一步实验验证。我们的发现对于理解癌症病因,尤其是特定癌症的潜在分子机制具有诸多影响。