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Genome-wide DNA methylation profiling of Acute Myeloid Leukemia

GSE18700 Homo sapiens Methylation profiling by genome tiling array 352 samples Submitted 2010/01/12 Platform GPL6604
Summary
We hypothesized 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). Keywords: DNA methylation profiling
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Also filed as BioProject PRJNA121487. Searching any of these in the dataset finder brings you back here.

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