Project description:Genome-scale DNA methylation profiling using the Infinium DNA methylation BeadChip platform and samples from acute myeloid leukemia patients screened for their mutation status of DNMT3a, a frequent aberration in AML.
Project description:Genome wide DNA methylation profiling of normal and pathologic mesenchymal stromal cells (MSCs). The Illumina Infinium 850k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 850,000 CpGs total DNA from in vitro-amplified MSCs. Samples included 11 normal MSCs, 11 MSCs from MDS patients, and 10 MSCs from AML patients.
Project description: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 DNA methylation profiling of a cohort of 344 AML patients from Erasmus Medical Center and enrolled in clinical trials from the Dutch-German cooperative group HOVON. Additionally, a control group consisting of 8 CD34+ bone marrow samples from healthy donors was also studied.
Project description: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
Project description:The study investigated the abberrent DNA methylation in correlation with gene expression in cytogenetic normal acute myeloid leukemia. CN-AML blasts isolated from patient bone marrow aspriation were compared to CD34+ cell population from healthy donors by DNA methylation array and affymetrix gene expression microarray. Bisulfited genomic DNA from patients and normal materials were hybirdized to Illumia Infinium Human Methylation 450K Beadchip. Gene expression profiling on selected patient cohort are publish aviable.