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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
Epigenetic risk stratification in juvenile myelomonocytic leukemia by targeted methylation analysis of the BMP4 locus
Foued Ghanjati1, Annika Heck2, Dirk Lebrecht2
1Department of Pediatric Hematology and Oncology, Children's Hospital, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany. foued.ghanjati@uniklinik-freiburg.de.
Abstract:
Juvenile myelomonocytic leukemia (JMML) is a rare pediatric myelodysplastic/myeloproliferative neoplasm characterized by distinct epigenetic signatures that facilitate molecular classification. This study aimed to evaluate the diagnostic utility of locus-specific DNA methylation in the bone morphogenetic protein 4 (BMP4) gene as a single predictor of disease outcomes in a cohort of 111 children diagnosed with JMML, alongside 9 healthy controls. Methylation levels of BMP4, assessed through targeted bisulfite next-generation sequencing (bs-NGS), were heterogeneous within the JMML cohort and were significantly associated with clinical risk factors, such as patient age, and fetal hemoglobin (HbF) levels. A comparative analysis of BMP4 bs-NGS and genome-wide methylation array data revealed a strong positive correlation (p < 0.001). The sensitivity and specificity of BMP4 bs-NGS for classifying high-methylation cases were 0.612 and 0.887, respectively. For PTPN11-mutant patients (N = 40), the sensitivity was 0.667 and the specificity was 0.842. Survival analysis indicated that patients with high BMP4 methylation (BMP4h) had lower 5-year disease-free survival (DFS) rates than those with normal BMP4 methylation (BMP4n). Specifically, the 20% of patients with highest BMP4 methylation had a 5-year DFS of 0.38, in contrast to 0.62 for the lowest 20% (p = 0.007). These findings highlight the potential of BMP4 methylation analysis as a complementary biomarker for JMML risk stratification, mirroring genome-wide methylation profiles known to associate with prognostic subgroups.
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