Author/Authors :
Figueroa، نويسنده , , Maria E. and Lugthart، نويسنده , , Sanne and Li، نويسنده , , Yushan and Erpelinck-Verschueren، نويسنده , , Claudia and Deng، نويسنده , , Xutao and Christos، نويسنده , , Paul J. and Schifano، نويسنده , , Elizabeth and Booth، نويسنده , , James and van Putten، نويسنده , , Wim and Skrabanek، نويسنده , , Lucy and Campagne، نويسنده , , Fabien and Mazumdar، نويسنده , , Madhu and Greally، نويسنده , , John M. and Valk، نويسنده , , Peter J.M. and Lِwenberg، نويسنده , , Bob and Delwel، نويسنده , , Ruud and Melnick، نويسنده , , Ari، نويسنده ,
Abstract :
Summary
othesized that DNA methylation distributes into specific patterns in cancer cells, which reflect critical biological differences. We therefore examined the methylation profiles of 344 patients with acute myeloid leukemia (AML). Clustering of these patients by methylation data segregated patients into 16 groups. Five of these groups defined new AML subtypes that shared no other known feature. In addition, DNA methylation profiles segregated patients with CEBPA aberrations from other subtypes of leukemia, defined four epigenetically distinct forms of AML with NPM1 mutations, and showed that established AML1-ETO, CBFb-MYH11, and PML-RARA leukemia entities are associated with specific methylation profiles. We report a 15 gene methylation classifier predictive of overall survival in an independent patient cohort (p < 0.001, adjusted for known covariates).
