Dataset Information

DNA methylation alterations and transcriptional gene silencing induced by IDH1 R132H mutation [Affymetrix]

ABSTRACT: The cytosolic NADP+-dependent isocitrate dehydrogenase IDH1 is frequently mutated in human cancers. Recent studies have shown that IDH1 mutant primary glioblastomas (GBM) and acute myeloid leukemias (AML) display robust association with CpG island methylator phenotype (CIMP). Such observations bring into question whether IDH1 mutations directly contribute to the development of CIMP or if the hypermethylation phenotype precedes acquisition of IDH1 mutations. To reveal the effects of IDH1 mutations on DNA methylation and gene expression, we introduced the most frequently observed IDH1 mutation, R132H, into a human cancer cell line through gene targeting. We profiled changes in methylation at over 27,000 CpG dinucleotides spanning 14,475 unique gene regions and characterized genome-wide gene expression alterations resulting from IDH1R132H knockin. We observed consistent changes in both DNA methylation and gene expression when comparing two independent IDH1R132H knockin clones to their wild-type parent, and report hypermethylation of over 2,000 loci, the majority of which contained preexisting methylation in IDH1WT parental cells. These loci exhibit the same trend in primary TCGA glioblastoma tumors with mutant IDH1 as compared to those with wild-type IDH1 and have significant overlap with genes hypermethylated in glioma-CIMP+ tumors. Furthermore, we identify specific DNA methylation and gene expression alterations which correlate with IDH1 mutations in our cell-line model as well as primary glioblastomas, including hypermethylation and transcriptional silencing of RBP1. The presented data provide insight on epigenetic alterations induced by IDH1 mutations and support a contributory role for IDH1 mutants in regulation of DNA methylation and gene expression in human cancer cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE31126 | GEO | 2012/08/14

SECONDARY ACCESSION(S): PRJNA154651

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:The outcome of patients with anaplastic gliomas varies considerably depending on histology and single molecular markers such as codeletion of 1p/19q and mutations of the isocitrate dehydrogenase (IDH) gene. Whether a molecularly-based classification of anaplastic gliomas based on large scale genomic or epigenomic analyses is superior to histopathology, may reflect distinct biological subtypes, predict outcome and guide therapy decisions had yet to be determined. Epigenome-wide DNA methylation analysis, which also allows for the detection of copy-number aberrations, was performed in a cohort of 228 patients with anaplastic gliomas (astrocytomas, oligoastrocytomas and oligodendrogliomas), including 115 patients of the NOA-04 trial. We further compared these tumors with a group of 55 glioblastomas. Unsupervised clustering demonstrated two main groups based on IDH mutation status: CpG island methylator phenotype (CIMP) positive (77.5%) or negative (22.5%). CIMP+ (IDH mutant) tumors showed a further separation based on copy-number status of chromosome arms 1p and 19q, but not based on histopathology. CIMP- (IDH wild type) tumors on the other hand showed hallmark copy-number alterations of glioblastomas. These tumors clustered together with CIMP- glioblastomas without forming separate groups based on WHO grade. There was no Tumor classification based on CIMP and 1p/19q status was significantly associated with survival allowing a better prediction of outcome than the current histopathological classification alone: Patients with CIMP+ tumors with 1p/19q codeletion had the best prognosis, followed by patients with CIMP+ but intact 1p/19q status. Patients with CIMP- anaplastic gliomas had the worst prognosis. Collectively, our data suggest that anaplastic gliomas can be grouped into three molecular subtypes with clear association to underlying biology and clinical outcome based on IDH and 1p/19q status. The data do not provide a molecular basis for the diagnosis of anaplastic oligoastrocytoma. We investigated a subset of 228 anaplastic gliomas using the Illumina 450k methylation array.

Dataset Information

DNA methylation alterations and transcriptional gene silencing induced by IDH1 R132H mutation [Affymetrix]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets