The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
The landscape of somatic mutations in epigenetic regulators across 1,000 paediatric cancer genomes
Open accessAbstract
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. Proteins involved in epigenetic regulation are frequently mutated in several paediatric cancers. Here, Huether et al.characterize the somatic mutation frequency across 21 paediatric cancer subtypes by sequencing 633 epigenetic genes in over 1,000 tumours; generating a rich data set for investigating epigenetic dysregulation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Berman, H. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.235 · Cited by 40,196
Primer3 on the WWW for General Users and for Biologist Programmers
Rozen, S., & Skaletsky, H. (2003) · Bioinformatics Methods and Protocols · doi:10.1385/1-59259-192-2:365 · Cited by 15,013
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
Chromatin modifications and their function
Kouzarides, T. (2007) · Cell · doi:10.1016/j.cell.2007.02.005 · Cited by 10,883
Kumar, P., Henikoff, S., & Ng, P. C. (2009) · Nature Protocols · doi:10.1038/nprot.2009.86 · Cited by 6,521
Cancer epigenetics: from mechanism to therapy
Dawson, M. A., & Kouzarides, T. (2012) · Cell · doi:10.1016/j.cell.2012.06.013 · Cited by 3,203
Driver mutations in histone H3.3 and chromatin remodelling genes in paediatric glioblastoma
Schwartzentruber, J., Korshunov, A., Liu, X.-Y., Jones, D. T. W., Pfaff, E., Jacob, K., Sturm, D., Fontebasso, A. M., Quang, D.-A. K., Tönjes, M., et al. (2012) · Nature · doi:10.1038/nature10833 · Cited by 2,631
Integration of biological networks and gene expression data using Cytoscape
Cline, M. S., Smoot, M., Cerami, E., Kuchinsky, A., Landys, N., Workman, C., Christmas, R., Avila-Campilo, I., Creech, M., Gross, B., et al. (2007) · Nature Protocols · doi:10.1038/nprot.2007.324 · Cited by 2,507
STRING 8--a global view on proteins and their functional interactions in 630 organisms
Jensen, L. J., Kuhn, M., Stark, M., Chaffron, S., Creevey, C., Muller, J., Doerks, T., Julien, P., Roth, A., Simonovic, M., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn760 · Cited by 2,474
Predicting the functional impact of protein mutations: application to cancer genomics
Reva, B., Antipin, Y., & Sander, C. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr407 · Cited by 2,002
St. Jude Children's Research Hospital–Washington University Pediatric Cancer Genome Project (2012) · Nature Genetics · doi:10.1038/ng.1102 · Cited by 1,724
The genetic basis of early T-cell precursor acute lymphoblastic leukaemia
Zhang, J., Ding, L., Holmfeldt, L., Wu, G., Heatley, S. L., Payne-Turner, D., Easton, J., Chen, X., Wang, J., Rusch, M., et al. (2012) · Nature · doi:10.1038/nature10725 · Cited by 1,596
Self-citationUniProt Knowledgebase: a hub of integrated protein data
Magrane, M., & Consortium, U. (2011) · Database · doi:10.1093/database/bar009 · Cited by 1,463
Inhibition of PRC2 Activity by a Gain-of-Function H3 Mutation Found in Pediatric Glioblastoma
Lewis, P. W., Müller, M. M., Koletsky, M. S., Cordero, F., Lin, S., Banaszynski, L. A., Garcia, B. A., Muir, T. W., Becher, O. J., & Allis, C. D. (2013) · Science · doi:10.1126/science.1232245 · Cited by 1,345
Epigenetic protein families: a new frontier for drug discovery
Arrowsmith, C. H., Bountra, C., Fish, P. V., Lee, K., & Schapira, M. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3674 · Cited by 1,327
Novel mutations target distinct subgroups of medulloblastoma
Robinson, G., Parker, M., Kranenburg, T. A., Lu, C., Chen, X., Ding, L., Phoenix, T. N., Hedlund, E., Wei, L., Zhu, X., et al. (2012) · Nature · doi:10.1038/nature11213 · Cited by 846
Self-citationWhole-genome sequencing identifies genetic alterations in pediatric low-grade gliomas
the St. Jude Children's Research Hospital–Washington University Pediatric Cancer Genome Project (2013) · Nature Genetics · doi:10.1038/ng.2611 · Cited by 835
The genomic landscape of hypodiploid acute lymphoblastic leukemia
Holmfeldt, L., Wei, L., Diaz-Flores, E., Walsh, M., Zhang, J., Ding, L., Payne-Turner, D., Churchman, M., Andersson, A., Chen, S.-C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2532 · Cited by 731
Self-citationThe histone H3.3K27M mutation in pediatric glioma reprograms H3K27 methylation and gene expression
Chan, K.-M., Fang, D., Gan, H., Hashizume, R., Yu, C., Schroeder, M., Gupta, N., Mueller, S., James, C. D., Jenkins, R., et al. (2013) · Genes & Development · doi:10.1101/gad.217778.113 · Cited by 707
Hu, M., Li, P., Li, M., Li, W., Yao, T., Wu, J.-W., Gu, W., Cohen, R. E., & Shi, Y. (2002) · Cell · doi:10.1016/s0092-8674(02)01199-6 · Cited by 642
CREBBP mutations in relapsed acute lymphoblastic leukaemia
Mullighan, C. G., Zhang, J., Kasper, L. H., Lerach, S., Payne-Turner, D., Phillips, L. A., Heatley, S. L., Holmfeldt, L., Collins-Underwood, J. R., Ma, J., et al. (2011) · Nature · doi:10.1038/nature09727 · Cited by 637
Self-citationReaders of histone modifications
Yun, M., Wu, J., Workman, J. L., & Li, B. (2011) · Cell Research · doi:10.1038/cr.2011.42 · Cited by 626
The SWI/SNF complex and cancer
Reisman, D., Glaros, S., & Thompson, E. A. (2009) · Oncogene · doi:10.1038/onc.2009.4 · Cited by 568
The deubiquitinylation and localization of PTEN are regulated by a HAUSP-PML network
Song, M. S., Salmena, L., Carracedo, A., Egia, A., Lo-Coco, F., Teruya-Feldstein, J., & Pandolfi, P. P. (2008) · Nature · doi:10.1038/nature07290 · Cited by 548
Association of Age at Diagnosis and Genetic Mutations in Patients With Neuroblastoma
Cheung, N.-K. V. (2012) · JAMA · doi:10.1001/jama.2012.228 · Cited by 468
Trithorax group proteins: switching genes on and keeping them active
Schuettengruber, B., Martinez, A.-M., Iovino, N., & Cavalli, G. (2011) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3230 · Cited by 456
Zhang, H., Li, D., Zhao, L., Fleming, J., Lin, N., Wang, T., Liu, Z., Li, C., Galwey, N., Deng, J., et al. (2013) · Nature Genetics · doi:10.1038/ng.2735 · Cited by 429
Self-citationThe Pediatric Cancer Genome Project
Downing, J. R., Wilson, R. K., Zhang, J., Mardis, E. R., Pui, C.-H., Ding, L., Ley, T. J., & Evans, W. E. (2012) · Nature Genetics · doi:10.1038/ng.2287 · Cited by 377
Self-citationThe super elongation complex (SEC) and MLL in development and disease
Smith, E., Lin, C., & Shilatifard, A. (2011) · Genes & Development · doi:10.1101/gad.2015411 · Cited by 361
Global chromatin profiling reveals NSD2 mutations in pediatric acute lymphoblastic leukemia
Jaffe, J. D., Wang, Y., Chan, H. M., Zhang, J., Huether, R., Kryukov, G. V., Bhang, H.-E. C., Taylor, J. E., Hu, M., Englund, N. P., et al. (2013) · Nature Genetics · doi:10.1038/ng.2777 · Cited by 277
Self-citationGMP Synthetase Stimulates Histone H2B Deubiquitylation by the Epigenetic Silencer USP7
van der Knaap, J. A., Kumar, B. R. P., Moshkin, Y. M., Langenberg, K., Krijgsveld, J., Heck, A. J. R., Karch, F., & Verrijzer, C. P. (2005) · Molecular Cell · doi:10.1016/j.molcel.2005.02.013 · Cited by 261
Regulation of SRC-3 (pCIP/ACTR/AIB-1/RAC-3/TRAM-1) Coactivator Activity by IκB Kinase
Wu, R.-C., Qin, J., Hashimoto, Y., Wong, J., Xu, J., Tsai, S. Y., Tsai, M.-J., & O'Malley, B. W. (2002) · Molecular and Cellular Biology · doi:10.1128/mcb.22.10.3549-3561.2002 · Cited by 257
Goo, Y.-H., Sohn, Y. C., Kim, D.-H., Kim, S.-W., Kang, M.-J., Jung, D.-J., Kwak, E., Barlev, N. A., Berger, S. L., Chow, V. T., et al. (2003) · Molecular and Cellular Biology · doi:10.1128/mcb.23.1.140-149.2003 · Cited by 230
Roles of the Polycomb group proteins in stem cells and cancer
Richly, H., Aloia, L., & Di Croce, L. (2011) · Cell Death & Disease · doi:10.1038/cddis.2011.84 · Cited by 218
ATP-dependent chromatin remodeling in the DNA-damage response
Lans, H., Marteijn, J. A., & Vermeulen, W. (2012) · Epigenetics & Chromatin · doi:10.1186/1756-8935-5-4 · Cited by 212
Felle, M., Joppien, S., Németh, A., Diermeier, S., Thalhammer, V., Dobner, T., Kremmer, E., Kappler, R., & Längst, G. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr528 · Cited by 192
HIstome--a relational knowledgebase of human histone proteins and histone modifying enzymes
Khare, S., Habib, F., Sharma, R., Gadewal, N., Gupta, S., & Galande, S. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1125 · Cited by 141
Ramírez, J. A., & Hagman, J. R. (2009) · Epigenetics · doi:10.4161/epi.4.8.10108 · Cited by 99
Recent progress toward epigenetic therapies: the example of mixed lineage leukemia
Neff, T., & Armstrong, S. A. (2013) · Blood · doi:10.1182/blood-2013-02-474833 · Cited by 69
Mannini, L., Liu, J., Krantz, I. D., & Musio, A. (2009) · Human Mutation · doi:10.1002/humu.21129 · Cited by 64
USP7/HAUSP Promotes the Sequence-Specific DNA Binding Activity of p53
Sarkari, F., Sheng, Y., & Frappier, L. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013040 · Cited by 33
Animal Models of Epigenetic Regulation in Neuropsychiatric Disorders
Bountra, C., Oppermann, U. C. T., & Heightman, T. D. (2011) · Current topics in behavioral neurosciences · doi:10.1007/7854_2010_104 · Cited by 10
Cited by
The Molecular Taxonomy of Primary Prostate Cancer
Abeshouse, A., Ahn, J., Akbani, R., Ally, A., Amin, S., Andry, C. D., Annala, M., Aprikian, A., Armenia, J., Arora, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.10.025 · Cited by 3,110
Self-citationThe landscape of genomic alterations across childhood cancers
ICGC PedBrain-Seq Project, Gröbner, S. N., ICGC MMML-Seq Project, Worst, B. C., Weischenfeldt, J., Buchhalter, I., Kleinheinz, K., Rudneva, V. A., Johann, P. D., Balasubramanian, G. P., et al. (2018) · Nature · doi:10.1038/nature25480 · Cited by 1,572
Self-citationKim, K. H., & Roberts, C. W. M. (2016) · Nature Medicine · doi:10.1038/nm.4036 · Cited by 1,471
Deubiquitylating enzymes and drug discovery: emerging opportunities
Harrigan, J. A., Jacq, X., Martin, N. M., & Jackson, S. P. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.152 · Cited by 940
The genomic landscape of pediatric and young adult T-lineage acute lymphoblastic leukemia
Liu, Y., Easton, J., Shao, Y., Maciaszek, J., Wang, Z., Wilkinson, M. R., McCastlain, K., Edmonson, M., Pounds, S. B., Shi, L., et al. (2017) · Nature Genetics · doi:10.1038/ng.3909 · Cited by 918
Self-citation
Metadata
- Authors
- Huether, R., Dong, L., Chen, X., Wu, G., Parker, M., Wei, L., Ma, J., Edmonson, M. N., Hedlund, E. K., Rusch, M. C., Shurtleff, S. A., Mulder, H. L., Boggs, K., Vadordaria, B., Cheng, J., Yergeau, D., Song, G., Becksfort, J., Lemmon, G., Weber, C., Cai, Z., Dang, J., Walsh, M., Gedman, A. L., Faber, Z., Easton, J., Gruber, T., Kriwacki, R. W., Partridge, J. F., Ding, L., Wilson, R. K., Mardis, E. R., Mullighan, C. G., Gilbertson, R. J., Baker, S. J., Zambetti, G., Ellison, D. W., Zhang, J., & Downing, J. R.
- Venue
- Nature Communications
- Published
- 2014-04-08
- Volume
- 5
- Issue
- 1
- Pages
- 3630-3630
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W1972076975
- Cited by
- 379
- References
- 42
- FWCI
- 18.25
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.