Title |
Novel mutations target distinct subgroups of medulloblastoma
|
---|---|
Published in |
Nature, June 2012
|
DOI | 10.1038/nature11213 |
Pubmed ID | |
Authors |
Giles Robinson, Matthew Parker, Tanya A. Kranenburg, Charles Lu, Xiang Chen, Li Ding, Timothy N. Phoenix, Erin Hedlund, Lei Wei, Xiaoyan Zhu, Nader Chalhoub, Suzanne J. Baker, Robert Huether, Richard Kriwacki, Natasha Curley, Radhika Thiruvenkatam, Jianmin Wang, Gang Wu, Michael Rusch, Xin Hong, Jared Becksfort, Pankaj Gupta, Jing Ma, John Easton, Bhavin Vadodaria, Arzu Onar-Thomas, Tong Lin, Shaoyi Li, Stanley Pounds, Steven Paugh, David Zhao, Daisuke Kawauchi, Martine F. Roussel, David Finkelstein, David W. Ellison, Ching C. Lau, Eric Bouffet, Tim Hassall, Sridharan Gururangan, Richard Cohn, Robert S. Fulton, Lucinda L. Fulton, David J. Dooling, Kerri Ochoa, Amar Gajjar, Elaine R. Mardis, Richard K. Wilson, James R. Downing, Jinghui Zhang, Richard J. Gilbertson |
Abstract |
Medulloblastoma is a malignant childhood brain tumour comprising four discrete subgroups. Here, to identify mutations that drive medulloblastoma, we sequenced the entire genomes of 37 tumours and matched normal blood. One-hundred and thirty-six genes harbouring somatic mutations in this discovery set were sequenced in an additional 56 medulloblastomas. Recurrent mutations were detected in 41 genes not yet implicated in medulloblastoma; several target distinct components of the epigenetic machinery in different disease subgroups, such as regulators of H3K27 and H3K4 trimethylation in subgroups 3 and 4 (for example, KDM6A and ZMYM3), and CTNNB1-associated chromatin re-modellers in WNT-subgroup tumours (for example, SMARCA4 and CREBBP). Modelling of mutations in mouse lower rhombic lip progenitors that generate WNT-subgroup tumours identified genes that maintain this cell lineage (DDX3X), as well as mutated genes that initiate (CDH1) or cooperate (PIK3CA) in tumorigenesis. These data provide important new insights into the pathogenesis of medulloblastoma subgroups and highlight targets for therapeutic development. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 36% |
Saudi Arabia | 1 | 4% |
United Kingdom | 1 | 4% |
Switzerland | 1 | 4% |
Mexico | 1 | 4% |
Spain | 1 | 4% |
Unknown | 11 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 68% |
Scientists | 5 | 20% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 15 | 2% |
France | 4 | <1% |
United Kingdom | 4 | <1% |
Canada | 3 | <1% |
Spain | 3 | <1% |
Germany | 3 | <1% |
Netherlands | 2 | <1% |
China | 2 | <1% |
Czechia | 1 | <1% |
Other | 10 | 2% |
Unknown | 601 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 149 | 23% |
Student > Ph. D. Student | 132 | 20% |
Student > Bachelor | 57 | 9% |
Student > Master | 47 | 7% |
Other | 45 | 7% |
Other | 120 | 19% |
Unknown | 98 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 210 | 32% |
Biochemistry, Genetics and Molecular Biology | 153 | 24% |
Medicine and Dentistry | 121 | 19% |
Neuroscience | 14 | 2% |
Computer Science | 8 | 1% |
Other | 36 | 6% |
Unknown | 106 | 16% |