Foued Ghanjati, Annika Heck, Dirk Lebrecht, Peter Nöllke, Felicia Andresen, Natalia Rotari, Marlou Schoof, Maximilian Schönung, Daniel B Lipka, Michael Dworzak, Barbara De Moerloose, Martina Sukova, Henrik Hasle, Kirsi Jahnukainen, Andrea Malone, Riccardo Masetti, Jochen Buechner, Marek Ussowicz, Albert Catala, Dominik Turkiewicz, Valérie de Haas, Markus Schmugge, Miriam Erlacher, Charlotte M Niemeyer, Christian Flotho
{"title":"通过BMP4位点的靶向甲基化分析,确定青少年髓单细胞白血病的表观遗传风险分层。","authors":"Foued Ghanjati, Annika Heck, Dirk Lebrecht, Peter Nöllke, Felicia Andresen, Natalia Rotari, Marlou Schoof, Maximilian Schönung, Daniel B Lipka, Michael Dworzak, Barbara De Moerloose, Martina Sukova, Henrik Hasle, Kirsi Jahnukainen, Andrea Malone, Riccardo Masetti, Jochen Buechner, Marek Ussowicz, Albert Catala, Dominik Turkiewicz, Valérie de Haas, Markus Schmugge, Miriam Erlacher, Charlotte M Niemeyer, Christian Flotho","doi":"10.1186/s13148-025-01983-0","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":10366,"journal":{"name":"Clinical Epigenetics","volume":"17 1","pages":"154"},"PeriodicalIF":4.4000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12492826/pdf/","citationCount":"0","resultStr":"{\"title\":\"Epigenetic risk stratification in juvenile myelomonocytic leukemia by targeted methylation analysis of the BMP4 locus.\",\"authors\":\"Foued Ghanjati, Annika Heck, Dirk Lebrecht, Peter Nöllke, Felicia Andresen, Natalia Rotari, Marlou Schoof, Maximilian Schönung, Daniel B Lipka, Michael Dworzak, Barbara De Moerloose, Martina Sukova, Henrik Hasle, Kirsi Jahnukainen, Andrea Malone, Riccardo Masetti, Jochen Buechner, Marek Ussowicz, Albert Catala, Dominik Turkiewicz, Valérie de Haas, Markus Schmugge, Miriam Erlacher, Charlotte M Niemeyer, Christian Flotho\",\"doi\":\"10.1186/s13148-025-01983-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":10366,\"journal\":{\"name\":\"Clinical Epigenetics\",\"volume\":\"17 1\",\"pages\":\"154\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12492826/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Epigenetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13148-025-01983-0\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epigenetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13148-025-01983-0","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Epigenetic risk stratification in juvenile myelomonocytic leukemia by targeted methylation analysis of the BMP4 locus.
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.
期刊介绍:
Clinical Epigenetics, the official journal of the Clinical Epigenetics Society, is an open access, peer-reviewed journal that encompasses all aspects of epigenetic principles and mechanisms in relation to human disease, diagnosis and therapy. Clinical trials and research in disease model organisms are particularly welcome.