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EPIG-16MOST DIFFERENTIAL DNA METHYLATION CHANGES OCCUR AT CANDIDATE ENHANCER ELEMENTS FOR RECURRENT LOWER GRADE GLIOMA AND GLIOBLASTOMA
- Source :
- Neuro-Oncology. 17:v89.4-v90
- Publication Year :
- 2015
- Publisher :
- Oxford University Press (OUP), 2015.
-
Abstract
- Clinical behavior of lower grade glioma (LGG) and glioblastoma (GBM) is characterized by recurrence and progression, yet with highly variable patterns and intervals. Our current study aims to establish a DNA methylation profile associated with the recurrence of LGG (n = 28) and GBM (n = 24) by comparing primary and recurrent matched samples. Illumina Methylation 450k data were used from The Cancer Genome Atlas (TCGA) project. Genome-wide DNA methylation remained almost unchanged at CpG islands and shores. Unsupervised DNA methylation consensus clustering of 2,000 CpG with highest standard deviation (sd > 0.25) demonstrated that recurrent LGG and GBM clustered next to their primary counterparts. Strikingly, 78.6% of recurrent LGG showed depletion of DNA methylation at recurrence and 50% of recurrent GBM showed enrichment of DNA methylation at recurrence. Enrichment analysis of CpG sites with most DNA methylation changes between primary and recurrent samples revealed that 14.3% of LGG and 33.3% of GBM samples showed enrichment of opensea located probes (fold > 1.3). A random permutation of 10,000 probes and confidence intervals (99%) demonstrated that these results do not occur by chance. More than 50% of CpG sites enriched at openseas map to candidate TSS distal and hypomethylated enhancers, and are related to adhesion, apoptotic, developmental, immune system, and metabolic processes. Compared to 10 paired non-glioma tumor (lung, colon, liver, sarcoma), the signature of glioma relapse appears distinctive. Our results provide evidence that DNA methylation may represent a stable signature of glioma recurrence and that the crosstalk between DNA hypomethylation at openseas and chromosomal instability is involved in glioma recurrence. We plan to integrate our findings with whole-genome & RNA sequencing and perform DNA motif analyses to identify networks disrupted and associated with such pronounced epigenetic signature.
Details
- ISSN :
- 15235866 and 15228517
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Neuro-Oncology
- Accession number :
- edsair.doi.dedup.....39eb50d7ab723ebec537a8d8668fb26b
- Full Text :
- https://doi.org/10.1093/neuonc/nov214.16