DNA methylation and hydroxymethylation patterns in acute myeloid leukemia patients with mutations in DNMT3A and IDH1/2 and their combinations.


Journal

Cancer biomarkers : section A of Disease markers
ISSN: 1875-8592
Titre abrégé: Cancer Biomark
Pays: Netherlands
ID NLM: 101256509

Informations de publication

Date de publication:
2019
Historique:
pubmed: 17 4 2019
medline: 23 11 2019
entrez: 17 4 2019
Statut: ppublish

Résumé

Aberrant epigenetic patterns are a hallmark of acute myeloid leukemia (AML). Mutations in profound epigenetic regulators DNMT3A and IDH1/2 often occur concurrently in AML. The aim was to analyze DNA methylation, hydroxymethylation and mRNA expression profiles in AML with mutations in DNMT3A and IDH1/2 (individually and in combinations). Infinium MethylationEPIC BeadChip (Illumina) covering 850,000 CpGs was utilized. The validation of hydroxy-/methylation data was done by pyrosequencing. HumanHT-12 v4 Expression BeadChip (Illumina) was used for expression examination. Hierarchical clustering analysis of DNA hydroxy-/methylation data revealed clusters corresponding to DNMT3A and IDH1/2 mutations and CD34+ healthy controls. Samples with concurrent presence of DNMT3A and IDH1/2 mutations displayed mixed DNA hydroxy-/methylation profile with preferential clustering to healthy controls. Numbers and levels of DNA hydroxymethylation were low. Uniformly hypermethylated loci in AML patients with IDH1/2 mutations were enriched for immune response and apoptosis related genes, among which hypermethylation of granzyme B (GZMB) was found to be associated with inferior overall survival of AML patients (P= 0.035). Distinct molecular background results in specific DNA hydroxy-/methylation profiles in AML. Site-specific DNA hydroxymethylation changes are much less frequent in AML pathogenesis compared to DNA methylation. Methylation levels of enhancer located upstream GZMB gene might contribute to AML prognostication models.

Sections du résumé

BACKGROUND BACKGROUND
Aberrant epigenetic patterns are a hallmark of acute myeloid leukemia (AML). Mutations in profound epigenetic regulators DNMT3A and IDH1/2 often occur concurrently in AML.
OBJECTIVES OBJECTIVE
The aim was to analyze DNA methylation, hydroxymethylation and mRNA expression profiles in AML with mutations in DNMT3A and IDH1/2 (individually and in combinations).
METHODS METHODS
Infinium MethylationEPIC BeadChip (Illumina) covering 850,000 CpGs was utilized. The validation of hydroxy-/methylation data was done by pyrosequencing. HumanHT-12 v4 Expression BeadChip (Illumina) was used for expression examination.
RESULTS RESULTS
Hierarchical clustering analysis of DNA hydroxy-/methylation data revealed clusters corresponding to DNMT3A and IDH1/2 mutations and CD34+ healthy controls. Samples with concurrent presence of DNMT3A and IDH1/2 mutations displayed mixed DNA hydroxy-/methylation profile with preferential clustering to healthy controls. Numbers and levels of DNA hydroxymethylation were low. Uniformly hypermethylated loci in AML patients with IDH1/2 mutations were enriched for immune response and apoptosis related genes, among which hypermethylation of granzyme B (GZMB) was found to be associated with inferior overall survival of AML patients (P= 0.035).
CONCLUSIONS CONCLUSIONS
Distinct molecular background results in specific DNA hydroxy-/methylation profiles in AML. Site-specific DNA hydroxymethylation changes are much less frequent in AML pathogenesis compared to DNA methylation. Methylation levels of enhancer located upstream GZMB gene might contribute to AML prognostication models.

Identifiants

pubmed: 30988238
pii: CBM182176
doi: 10.3233/CBM-182176
doi:

Substances chimiques

DNMT3A protein, human 0
IDH2 protein, human EC 1.1.1.41
Isocitrate Dehydrogenase EC 1.1.1.41
IDH1 protein, human EC 1.1.1.42.
DNA (Cytosine-5-)-Methyltransferases EC 2.1.1.37
DNA Methyltransferase 3A EC 2.1.1.37
GZMB protein, human EC 3.4.21.-
Granzymes EC 3.4.21.-

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-51

Auteurs

Šárka Šestáková (Š)

Institute of Hematology and Blood Transfusion, Prague, Czech Republic.

Zdeněk Krejčík (Z)

Institute of Hematology and Blood Transfusion, Prague, Czech Republic.

Adam Folta (A)

Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic.

Ela Cerovská (E)

Institute of Hematology and Blood Transfusion, Prague, Czech Republic.

Cyril Šálek (C)

Institute of Hematology and Blood Transfusion, Prague, Czech Republic.

Michaela Dostálová Merkerová (MD)

Institute of Hematology and Blood Transfusion, Prague, Czech Republic.

Pavla Pecherková (P)

Institute of Hematology and Blood Transfusion, Prague, Czech Republic.

Zdeněk Ráčil (Z)

Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic.
Department of Internal Medicine, Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.

Jiří Mayer (J)

Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czech Republic.
Department of Internal Medicine, Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.

Petr Cetkovský (P)

Institute of Hematology and Blood Transfusion, Prague, Czech Republic.

Hana Remešová (H)

Institute of Hematology and Blood Transfusion, Prague, Czech Republic.

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Classifications MeSH