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Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
Published on: June 16, 2017
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DNA methylation-based subtype prediction for pediatric acute lymphoblastic leukemia
Jessica Nordlund1, Christofer L Bäcklin2, Vasilios Zachariadis3
1Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Box 1432, BMC, SE-751 44 Uppsala, Sweden.
Clinical Epigenetics
|March 3, 2015
Summary
DNA methylation profiling accurately predicts acute lymphoblastic leukemia (ALL) subtypes, improving risk stratification. This method clarifies diagnoses for patients with undefined cytogenetic subtypes and reveals novel fusion genes.
Area of Science:
- Epigenetics
- Oncology
- Genomics
Background:
- Acute lymphoblastic leukemia (ALL) requires precise risk stratification for effective treatment.
- Current diagnostic methods for ALL may not fully capture cytogenetic heterogeneity.
- DNA methylation plays a role in cancer development and may offer complementary diagnostic insights.
Purpose of the Study:
- To develop and validate DNA methylation classifiers for predicting ALL cytogenetic subtypes.
- To improve risk stratification of pediatric ALL patients.
- To investigate the functional role of DNA methylation in ALL pathogenesis.
Main Methods:
- Utilized genome-wide DNA methylation profiling (~450,000 CpG sites) in 546 pediatric ALL patients.
- Designed and cross-validated DNA methylation classifiers, refining them to 246 CpG sites.
- Applied the classifier to screen 210 patients with undefined or non-recurrent cytogenetic aberrations.
Main Results:
- Achieved high mean sensitivity (0.90) and specificity (0.99) for subtype prediction.
- Classified nearly half (106/210) of previously unclassified patients into known recurrent ALL subtypes.
- Identified novel fusion genes (ETV6, RUNX1, PAX5) in patients with discordant methylation and cytogenetic classifications.
Conclusions:
- DNA methylation profiling effectively clarifies heterogeneity in cytogenetically undefined ALL.
- This epigenetic approach can serve as a complementary diagnostic tool for ALL.
- The identified methylation patterns offer insights into leukemic transformation and biological characteristics of ALL.
