Targeted methylation analysis of the BMP4 gene predicts outcomes in juvenile myelomonocytic leukemia, suggesting a new biomarker for risk stratification.
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 ( BMP4 h) had lower 5-year disease-free survival (DFS) rates than those with normal BMP4 methylation ( BMP4 n). 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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Ghanjati et al. (2025) studied this question.
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