scholarly journals Abnormal promoter DNA methylation in juvenile myelomonocytic leukemia is not caused by mutation in DNMT3A

Blood ◽  
2011 ◽  
Vol 118 (16) ◽  
pp. 4490-4491 ◽  
Author(s):  
Marcin W. Wlodarski ◽  
Jessica Mötter ◽  
Thomas A. Gorr ◽  
Christiane Olk-Batz ◽  
Henrik Hasle ◽  
...  
Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 1365-1365
Author(s):  
Jumpei Yamazaki ◽  
Rodolphe F Taby ◽  
Aparna Vasanthakumar ◽  
Trisha Macrae ◽  
Kelly R Ostler ◽  
...  

Abstract Abstract 1365 TET2 enzymatically converts 5-methylcytosine to 5-hydroxymethylcytosine, possibly leading to loss of DNA methylation. TET2 mutations are common in myeloid leukemia and were proposed to contribute to leukemogenesis through DNA methylation. To expand on this concept, we studied chronic myelomonocytic leukemia (CMML) samples. TET2 missense or nonsense mutations were detected in 53% (16/30 patients). By contrast, only 1/30 patients had a mutation in IDH1 or IDH2, and none of them had a mutation in DNMT3A. By bisulfite pyrosequencing, global methylation measured by the LINE-1 assay and DNA methylation levels of 10 promoter CpG islands frequently abnormal in myeloid leukemia were not different between TET2 mutant and wild-type cases. This was also true for 9 out of 11 gene promoters reported by others as differentially methylated by TET2 mutations. We confirmed only two non-CpG island promoters, AIM2 and SP140, as hypermethylated in patients with mutant TET2. These were the only two gene promoters (out of 14 475 genes) previously found to be hypermethylated in TET2 mutant cases. This finding shows that hypermethylation of both AIM2 and SP140 are bona fide markers of TET2 mutant cases in CMML. On the other hand, total 5-methylcytosine levels in TET2 mutant cases were significantly higher than TET2 wild-type cases. Thus, TET2 mutations have a limited impact on promoter DNA methylation in CMML. To confirm this, we performed genome-wide analysis using a next-generation sequencing method for DNA methylation levels in three TET2 mutant cases. TET2 mutant CMMLs had an average of 230 (1.9%) promoter CpG island sites hypermethylated compared to normal blood, which is close to what is generally observed when one compares cancer to normal. By contrast, all three cases had near normal to increased levels of methylation outside CpG islands. The median methylation levels in non-promoter, non-CpG island sites was 88.7% in normal blood compared to 91.7%, 92.1% and 94.6% in the three TET2 mutant cases. Thus, TET2 mutant CMMLs escape the general hypomethylation phenomenon seen in many cancers. All together, our data suggest that TET2 mutant CMML cases may have distinct DNA methylation patterns primarily outside gene promoters. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 828-828
Author(s):  
Christiane Batz ◽  
Inga Sandrock ◽  
Peter Nöllke ◽  
Brigitte Strahm ◽  
Henrik Hasle ◽  
...  

Abstract Abstract 828 Promoter DNA hypermethylation contributes to the malignant phenotype in cancer including myeloproliferative neoplasms and myeloid leukemia. We hypothesized that aberrant DNA methylation also occurs in juvenile myelomonocytic leukemia (JMML) and asked whether it is associated with clinical, hematologic or prognostic features of the disease. Denaturing liquid chromatography was used to analyze peripheral blood or bone marrow samples from 87 children with JMML and 17 healthy control subjects for changes in DNA methylation at 14 candidate gene loci (BMP4, CALCA, CDKN1C, CDKN2B, DAPK1, MGMT, MLH1, PAWR, RARB, RASA1, RASSF1, RECK, SOCS1, TP73). We identified 4 genes with promoter DNA hypermethylation in JMML: BMP4 (34% of cases), CALCA (30%), CDKN2B (28%) and RARB (23%); the other 10 loci were unmethylated. The pattern of hypermethylation of the 4 genes allowed the categorization of JMML cases into three groups: no methylation (40/87 patients), intermediate methylation (1 or 2 genes; 29/87 patients) or high methylation (3 or 4 genes; 18/87 patients). Lineage-specific cell sorting demonstrated that aberrant methylation was restricted to clonal cell populations and could be traced back to the CD34+ JMML progenitor cell compartment. This observation supports the concept that DNA methylation is associated with early pathogenetic events in JMML. A correlative analysis of methylation groups with clinical or hematologic features showed that high methylation was strongly associated with higher age and increased hemoglobin F level at diagnosis (both p<0.01). By contrast, there was no significant association with leukocyte count, absolute monocytes, platelet count, blast percentage in blood or bone marrow, spleen size, karyotype or mutational category (PTPN11, RAS, CBL, NF1). Importantly, the presence of hypermethylation at diagnosis predicted cases with poor outcome; the 5-year overall survival (OS) in the no / intermediate / high methylation groups was 0.63 [0.47–0.79] / 0.52 [0.30–0.74] / 0.24 [0.04–0.44] (p<0.01). Among patients receiving hematopoietic stem cell transplantation, hypermethylation characterized cases with significantly increased probability of relapse: the 5-year relapse incidence in the no / intermediate / high methylation groups was 0.22 [0.11–0.45] / 0.21 [0.09–0.50] / 0.69 [0.49–0.96] (p<0.01). The predictive power of high methylation was also reflected in a multivariate Cox model for OS that included age at diagnosis, sex, platelet count and mutational category as other variables; here methylation was the only significant prognostic factor. Furthermore, longitudinal analyses indicated that some cases had acquired a higher methylation phenotype at relapse. In summary, we report aberrant DNA methylation as the most important molecular predictor of outcome in JMML. We suggest that a high-methylation phenotype characterizes an aggressive biologic variant of this leukemia. Disclosures: No relevant conflicts of interest to declare.


Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 622
Author(s):  
Omeima Abdullah ◽  
Ziad Omran ◽  
Salman Hosawi ◽  
Ali Hamiche ◽  
Christian Bronner ◽  
...  

Silencing of tumor suppressor genes (TSGs) through epigenetic mechanisms, mainly via abnormal promoter DNA methylation, is considered a main mechanism of tumorigenesis. The abnormal DNA methylation profiles are transmitted from the cancer mother cell to the daughter cells through the involvement of a macromolecular complex in which the ubiquitin-like containing plant homeodomain (PHD), and an interesting new gene (RING) finger domains 1 (UHRF1), play the role of conductor. Indeed, UHRF1 interacts with epigenetic writers, such as DNA methyltransferase 1 (DNMT1), histone methyltransferase G9a, erasers like histone deacetylase 1 (HDAC1), and functions as a hub protein. Thus, targeting UHRF1 and/or its partners is a promising strategy for epigenetic cancer therapy. The natural compound thymoquinone (TQ) exhibits anticancer activities by targeting several cellular signaling pathways, including those involving UHRF1. In this review, we highlight TQ as a potential multitarget single epidrug that functions by targeting the UHRF1/DNMT1/HDAC1/G9a complex. We also speculate on the possibility that TQ might specifically target UHRF1, with subsequent regulatory effects on other partners.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jianfeng Xu ◽  
Jiejun Shi ◽  
Xiaodong Cui ◽  
Ya Cui ◽  
Jingyi Jessica Li ◽  
...  

AbstractPromoter DNA methylation is a well-established mechanism of transcription repression, though its global correlation with gene expression is weak. This weak correlation can be attributed to the failure of current methylation quantification methods to consider the heterogeneity among sequenced bulk cells. Here, we introduce Cell Heterogeneity–Adjusted cLonal Methylation (CHALM) as a methylation quantification method. CHALM improves understanding of the functional consequences of DNA methylation, including its correlations with gene expression and H3K4me3. When applied to different methylation datasets, the CHALM method enables detection of differentially methylated genes that exhibit distinct biological functions supporting underlying mechanisms.


2010 ◽  
Vol 42 (12) ◽  
pp. 1093-1100 ◽  
Author(s):  
Julie Borgel ◽  
Sylvain Guibert ◽  
Yufeng Li ◽  
Hatsune Chiba ◽  
Dirk Schübeler ◽  
...  

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