International consensus definition of DNA methylation subgroups in juvenile myelomonocytic leukemia
Known clinical and genetic markers have limitations in predicting disease course and outcome in juvenile myelomonocytic leukemia (JMML). DNA methylation (DNAme) patterns in JMML have correlated with outcome across multiple studies, suggesting it as a biomarker to improve patient stratification. Howe...
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| Hauptverfasser: | , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2021
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| In: |
Clinical cancer research
Year: 2020, Jahrgang: 27, Heft: 1, Pages: 158-168 |
| ISSN: | 1557-3265 |
| DOI: | 10.1158/1078-0432.CCR-20-3184 |
| Online-Zugang: | Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1158/1078-0432.CCR-20-3184 Verlag, lizenzpflichtig, Volltext: https://clincancerres.aacrjournals.org/content/early/2020/11/02/1078-0432.CCR-20-3184 
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| Verfasserangaben: | Maximilian Schönung, Julia Meyer, Peter Nöllke, Adam B. Olshen, Mark Hartmann, Norihiro Murakami, Manabu Wakamatsu, Yusuke Okuno, Christoph Plass, Mignon L. Loh, Charlotte M. Niemeyer, Hideki Muramatsu, Christian Flotho, Elliot Stieglitz and Daniel B. Lipka |
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| 520 | |a Known clinical and genetic markers have limitations in predicting disease course and outcome in juvenile myelomonocytic leukemia (JMML). DNA methylation (DNAme) patterns in JMML have correlated with outcome across multiple studies, suggesting it as a biomarker to improve patient stratification. However, standardized approaches to classify JMML based on DNAme patterns are lacking. We therefore sought to define an international consensus for DNAme subgroups in JMML and develop classification methods for clinical implementation. | ||
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