Mutational landscape and significance across 12 major cancer types

被引:3361
作者
Kandoth, Cyriac [1 ]
McLellan, Michael D. [1 ]
Vandin, Fabio [2 ]
Ye, Kai [1 ,3 ]
Niu, Beifang [1 ]
Lu, Charles [1 ]
Xie, Mingchao [1 ]
Zhang, Qunyuan [1 ,3 ]
McMichael, Joshua F. [1 ]
Wyczalkowski, Matthew A. [1 ]
Leiserson, Mark D. M. [2 ]
Miller, Christopher A. [1 ]
Welch, John S. [4 ,5 ]
Walter, Matthew J. [4 ,5 ]
Wendl, Michael C. [1 ,3 ,6 ]
Ley, Timothy J. [1 ,3 ,4 ,5 ]
Wilson, Richard K. [1 ,3 ,5 ]
Raphael, Benjamin J. [2 ]
Ding, Li [1 ,3 ,4 ,5 ]
机构
[1] Washington Univ, Genome Inst, St Louis, MO 63108 USA
[2] Brown Univ, Dept Comp Sci, Providence, RI 02912 USA
[3] Washington Univ, Dept Genet, St Louis, MO 63108 USA
[4] Washington Univ, Dept Med, St Louis, MO 63108 USA
[5] Washington Univ, Siteman Canc Ctr, St Louis, MO 63108 USA
[6] Washington Univ, Dept Math, St Louis, MO 63108 USA
基金
美国国家科学基金会;
关键词
SOMATIC POINT MUTATIONS; BRCA2; MUTATIONS; HUMAN BREAST; SURVIVAL; PATHWAYS; ASSOCIATION; DISCOVERY; EVOLUTION; PBRM1;
D O I
10.1038/nature12634
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Cancer Genome Atlas (TCGA) has used the latest sequencing and analysis methods to identify somatic variants across thousands of tumours. Here we present data and analytical results for point mutations and small insertions/deletions from 3,281 tumours across 12 tumour types as part of the TCGA Pan-Cancer effort. We illustrate the distributions of mutation frequencies, types and contexts across tumour types, and establish their links to tissues of origin, environmental/carcinogen influences, and DNA repair defects. Using the integrated data sets, we identified 127 significantly mutated genes from well-known(for example, mitogen-activated protein kinase, phosphatidylinositol-3-OH kinase, Wnt/beta-catenin and receptor tyrosine kinase signalling pathways, and cell cycle control) and emerging (for example, histone, histone modification, splicing, metabolism and proteolysis) cellular processes in cancer. The average number of mutations in these significantly mutated genes varies across tumour types; most tumours have two to six, indicating that the number of driver mutations required during oncogenesis is relatively small. Mutations in transcriptional factors/regulators show tissue specificity, whereas histone modifiers are often mutated across several cancer types. Clinical association analysis identifies genes having a significant effect on survival, and investigations of mutations with respect to clonal/subclonal architecture delineate their temporal orders during tumorigenesis. Taken together, these results lay the groundwork for developing new diagnostics and individualizing cancer treatment.
引用
收藏
页码:333 / +
页数:20
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