| Title |
RAS-pathway mutation patterns define epigenetic subclasses in juvenile myelomonocytic leukemia
|
|---|---|
| Published in |
Nature Communications, December 2017
|
| DOI | 10.1038/s41467-017-02177-w |
| Pubmed ID | |
| Authors |
Daniel B. Lipka, Tania Witte, Reka Toth, Jing Yang, Manuel Wiesenfarth, Peter Nöllke, Alexandra Fischer, David Brocks, Zuguang Gu, Jeongbin Park, Brigitte Strahm, Marcin Wlodarski, Ayami Yoshimi, Rainer Claus, Michael Lübbert, Hauke Busch, Melanie Boerries, Mark Hartmann, Maximilian Schönung, Umut Kilik, Jens Langstein, Justyna A. Wierzbinska, Caroline Pabst, Swati Garg, Albert Catalá, Barbara De Moerloose, Michael Dworzak, Henrik Hasle, Franco Locatelli, Riccardo Masetti, Markus Schmugge, Owen Smith, Jan Stary, Marek Ussowicz, Marry M. van den Heuvel-Eibrink, Yassen Assenov, Matthias Schlesner, Charlotte Niemeyer, Christian Flotho, Christoph Plass |
| Abstract |
Juvenile myelomonocytic leukemia (JMML) is an aggressive myeloproliferative disorder of early childhood characterized by mutations activating RAS signaling. Established clinical and genetic markers fail to fully recapitulate the clinical and biological heterogeneity of this disease. Here we report DNA methylome analysis and mutation profiling of 167 JMML samples. We identify three JMML subgroups with unique molecular and clinical characteristics. The high methylation group (HM) is characterized by somatic PTPN11 mutations and poor clinical outcome. The low methylation group is enriched for somatic NRAS and CBL mutations, as well as for Noonan patients, and has a good prognosis. The intermediate methylation group (IM) shows enrichment for monosomy 7 and somatic KRAS mutations. Hypermethylation is associated with repressed chromatin, genes regulated by RAS signaling, frequent co-occurrence of RAS pathway mutations and upregulation of DNMT1 and DNMT3B, suggesting a link between activation of the DNA methylation machinery and mutational patterns in JMML. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 27% |
| United Kingdom | 2 | 13% |
| Germany | 2 | 13% |
| Japan | 1 | 7% |
| Switzerland | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 47% |
| Scientists | 5 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 141 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 15% |
| Researcher | 18 | 13% |
| Student > Ph. D. Student | 17 | 12% |
| Student > Bachelor | 13 | 9% |
| Other | 10 | 7% |
| Other | 17 | 12% |
| Unknown | 45 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 23% |
| Biochemistry, Genetics and Molecular Biology | 30 | 21% |
| Agricultural and Biological Sciences | 7 | 5% |
| Immunology and Microbiology | 5 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 52 | 37% |