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Dataset Information

DNA methylation-based subtype prediction for pediatric acute lymphoblastic leukemia.


ABSTRACT:

Background

We present a method that utilizes DNA methylation profiling for prediction of the cytogenetic subtypes of acute lymphoblastic leukemia (ALL) cells from pediatric ALL patients. The primary aim of our study was to improve risk stratification of ALL patients into treatment groups using DNA methylation as a complement to current diagnostic methods. A secondary aim was to gain insight into the functional role of DNA methylation in ALL.

Results

We used the methylation status of ~450,000 CpG sites in 546 well-characterized patients with T-ALL or seven recurrent B-cell precursor ALL subtypes to design and validate sensitive and accurate DNA methylation classifiers. After repeated cross-validation, a final classifier was derived that consisted of only 246 CpG sites. The me

SUBMITTER: Nordlund J 

PROVIDER: S-EPMC4343276 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature