Title |
The landscape of somatic mutations in epigenetic regulators across 1,000 paediatric cancer genomes
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Published in |
Nature Communications, April 2014
|
DOI | 10.1038/ncomms4630 |
Pubmed ID | |
Authors |
Robert Huether, Li Dong, Xiang Chen, Gang Wu, Matthew Parker, Lei Wei, Jing Ma, Michael N. Edmonson, Erin K. Hedlund, Michael C. Rusch, Sheila A. Shurtleff, Heather L. Mulder, Kristy Boggs, Bhavin Vadordaria, Jinjun Cheng, Donald Yergeau, Guangchun Song, Jared Becksfort, Gordon Lemmon, Catherine Weber, Zhongling Cai, Jinjun Dang, Michael Walsh, Amanda L. Gedman, Zachary Faber, John Easton, Tanja Gruber, Richard W. Kriwacki, Janet F. Partridge, Li Ding, Richard K. Wilson, Elaine R. Mardis, Charles G. Mullighan, Richard J. Gilbertson, Suzanne J. Baker, Gerard Zambetti, David W. Ellison, Jinghui Zhang, James R. Downing |
Abstract |
Studies of paediatric cancers have shown a high frequency of mutation across epigenetic regulators. Here we sequence 633 genes, encoding the majority of known epigenetic regulatory proteins, in over 1,000 paediatric tumours to define the landscape of somatic mutations in epigenetic regulators in paediatric cancer. Our results demonstrate a marked variation in the frequency of gene mutations across 21 different paediatric cancer subtypes, with the highest frequency of mutations detected in high-grade gliomas, T-lineage acute lymphoblastic leukaemia and medulloblastoma, and a paucity of mutations in low-grade glioma and retinoblastoma. The most frequently mutated genes are H3F3A, PHF6, ATRX, KDM6A, SMARCA4, ASXL2, CREBBP, EZH2, MLL2, USP7, ASXL1, NSD2, SETD2, SMC1A and ZMYM3. We identify novel loss-of-function mutations in the ubiquitin-specific processing protease 7 (USP7) in paediatric leukaemia, which result in decreased deubiquitination activity. Collectively, our results help to define the landscape of mutations in epigenetic regulatory genes in paediatric cancer and yield a valuable new database for investigating the role of epigenetic dysregulations in cancer. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 38% |
Saudi Arabia | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 2% |
Canada | 3 | <1% |
Denmark | 3 | <1% |
United Kingdom | 3 | <1% |
Italy | 2 | <1% |
France | 1 | <1% |
Switzerland | 1 | <1% |
Czechia | 1 | <1% |
Sweden | 1 | <1% |
Other | 5 | 1% |
Unknown | 417 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 117 | 26% |
Researcher | 100 | 22% |
Student > Master | 40 | 9% |
Other | 31 | 7% |
Student > Doctoral Student | 26 | 6% |
Other | 69 | 15% |
Unknown | 64 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 136 | 30% |
Agricultural and Biological Sciences | 106 | 24% |
Medicine and Dentistry | 70 | 16% |
Pharmacology, Toxicology and Pharmaceutical Science | 12 | 3% |
Neuroscience | 8 | 2% |
Other | 37 | 8% |
Unknown | 78 | 17% |