The landscape and driver potential of site-specific hotspots across cancer genomes.
The landscape and driver potential of site-specific hotspots across cancer genomes.
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DOI:
10.1038/s41525-021-00197-6
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发表时间:
2021-05-13
影响因子:
5.3
通讯作者:
Pedersen JS
中科院分区:
文献类型:
--
作者:
Juul RI;Nielsen MM;Juul M;Feuerbach L;Pedersen JS
Large sets of whole cancer genomes make it possible to study mutation hotspots genome-wide. Here we detect, categorize, and characterize site-specific hotspots using 2279 whole cancer genomes from the Pan-Cancer Analysis of Whole Genomes project and provide a resource of annotated hotspots genome-wide. We investigate the excess of hotspots in both protein-coding and gene regulatory regions and develop measures of positive selection and functional impact for individual hotspots. Using cancer allele fractions, expression aberrations, mutational signatures, and a variety of genomic features, such as potential gain or loss of transcription factor binding sites, we annotate and prioritize all highly mutated hotspots. Genome-wide we find more high-frequency SNV and indel hotspots than expected given mutational background models. Protein-coding regions are generally enriched for SNV hotspots compared to other regions. Gene regulatory hotspots show enrichment of potential same-patient second-hit missense mutations, consistent with enrichment of hotspot driver mutations compared to singletons. For protein-coding regions, splice-sites, promoters, and enhancers, we see an excess of hotspots associated with cancer genes. Interestingly, missense hotspot mutations in tumor suppressors are associated with elevated expression, suggesting localized amino-acid changes with functional impact. For individual non-coding hotspots, only a small number show clear signs of positive selection, including known sites in the TERT promoter and the 5’ UTR of TP53. Most of the new candidates have few mutations and limited driver evidence. However, a hotspot in an enhancer of the oncogene POU2AF1, which may create a transcription factor binding site, presents multiple lines of driver-consistent evidence.
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影响因子:
9.9
作者:
Buljan M;Blattmann P;Aebersold R;Boutros M
通讯作者:
Boutros M
影响因子:
8.8
作者:
Jayasinghe RG;Cao S;Gao Q;Wendl MC;Vo NS;Reynolds SM;Zhao Y;Climente-González H;Chai S;Wang F;Varghese R;Huang M;Liang WW;Wyczalkowski MA;Sengupta S;Li Z;Payne SH;Fenyö D;Miner JH;Walter MJ;Cancer Genome Atlas Research Network;Vincent B;Eyras E;Chen K;Shmulevich I;Chen F;Ding L
通讯作者:
Ding L
DOI:
10.1038/nrc1299
发表时间:
2004-03
期刊:
Nature reviews. Cancer
影响因子:
--
作者:
通讯作者:
--
影响因子:
4
作者:
Alexandrov, Ludmil B.;Stratton, Michael R.
通讯作者:
Stratton, Michael R.
影响因子:
50.3
作者:
Chapuy B;McKeown MR;Lin CY;Monti S;Roemer MG;Qi J;Rahl PB;Sun HH;Yeda KT;Doench JG;Reichert E;Kung AL;Rodig SJ;Young RA;Shipp MA;Bradner JE
通讯作者:
Bradner JE