Dataset Information


Isocitrate dehydrogenase 1 (IDH1) mutant gliomas demonstrate a distinct global CpG island methylation profile compared to IDH1 wildtype gliomas using MRSE

ABSTRACT: In order to identify other molecular aberrations that may cooperate with IDH1R132MUT in gliomagenesis, we performed CpG-island methylation profiling analysis using MSRE (Tran et al. Front. Neurosci. 3:57. Doi: 10.3389/neuro.15.005.2009) on a subset of IDH1R132MUT and IDH1R132WT GBMs and found a distinct pattern of CpG island hypermethylation that was detected in all GBMs and lower grade gliomas with IDH1R132MUT. While absent from nearly all IDH1R132WT glioma, the methylation pattern in IDH1R132MUT GBMs shows similarity to the recently reported CpG island methylator phenotype (CIMP) found to be tightly associated with IDH1R132MUT gliomas(Noushmehr et al. Cancer Cell, Volume 17, Issue 5, 18 May 2010, Pages 510-522, ISSN 1535-6108, DOI: 10.1016/j.ccr.2010.03.017). Methylation profiling performed on 40 distinct brain tumor samples: 7 Anaplastic Astrocytomas, including 3 IDH1MUT and 4 IDH1WT; 5 Lowgrade Astrocytomas, including 4 IDH1MUT and 1 IDH1WT; 28 Glioblastoma, including 8 IDH1MUT and 20 IDH1WT.

ORGANISM(S): Homo sapiens  

SUBMITTER: Reshmi Chowdhury   Albert Lai 

PROVIDER: E-GEOD-28271 | ArrayExpress | 2011-10-24



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In Silico Enhanced Restriction Enzyme Based Methylation Analysis of the Human Glioblastoma Genome Using Agilent 244K CpG Island Microarrays.

Tran Anh A   Escovedo Cameron C   Migdall-Wilson Justine J   Chou Arthur P AP   Chen Weidong W   Cloughesy Timothy T   Nelson Stanley S   Lai Albert A  

Frontiers in neuroscience 20090101

Genome wide methylation profiling of gliomas is likely to provide important clues to improving treatment outcomes. Restriction enzyme based approaches have been widely utilized for methylation profiling of cancer genomes and will continue to have importance in combination with higher density microarrays. With the availability of the human genome sequence and microarray probe sequences, these approaches can be readily characterized and optimized via in silico modeling. We adapted the previously d  ...[more]

Publication: 1/2

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