Genomic Classification and Prognosis in Acute Myeloid Leukemia
Bioinformatics Institute · Memorial Sloan Kettering Cancer Center · +11 more institutions
Abstract
Recent studies have provided a detailed census of genes that are mutated in acute myeloid leukemia (AML). Our next challenge is to understand how this genetic diversity defines the pathophysiology of AML and informs clinical practice.
We enrolled a total of 1540 patients in three prospective trials of intensive therapy. Combining driver mutations in 111 cancer genes with cytogenetic and clinical data, we defined AML genomic subgroups and their relevance to clinical outcomes.
Citation impact
- FWCI
- 239.19
- Percentile
- 100%
- References
- 40
Authors
27- EPElli PapaemmanuilCorresponding
Bioinformatics Institute, Memorial Sloan Kettering Cancer Center, Wellcome Sanger Institute, European Bioinformatics Institute, Molecular Oncology (United States)
- MGMoritz Gerstung
Wellcome Sanger Institute, European Bioinformatics Institute, Bioinformatics Institute
- LBLars Bullinger
Bioinformatics Institute, European Bioinformatics Institute, Universität Ulm
- VIVerena I. Gaidzik
European Bioinformatics Institute, Bioinformatics Institute, Universität Ulm
- PPPeter Paschka
European Bioinformatics Institute, Bioinformatics Institute, Universität Ulm
Topics & keywords
- NPM1
- Myeloid leukemia
- Medicine
- Mutation
- Genetics
- Gene mutation
- Bioinformatics
- Gene
- No poverty