Dataset Information

Age-specific signatures of glioblastoma at the genomic, genetic, and epigenetic levels.

ABSTRACT: Age is a powerful predictor of survival in glioblastoma multiforme (GBM) yet the biological basis for the difference in clinical outcome is mostly unknown. Discovering genes and pathways that would explain age-specific survival difference could generate opportunities for novel therapeutics for GBM. Here we have integrated gene expression, exon expression, microRNA expression, copy number alteration, SNP, whole exome sequence, and DNA methylation data sets of a cohort of GBM patients in The Cancer Genome Atlas (TCGA) project to discover age-specific signatures at the transcriptional, genetic, and epigenetic levels and validated our findings on the REMBRANDT data set. We found major age-specific signatures at all levels including age-specific hypermethylation in polycomb group protein target genes and the upregulation of angiogenesis-related genes in older GBMs. These age-specific differences in GBM, which are independent of molecular subtypes, may in part explain the preferential effects of anti-angiogenic agents in older GBM and pave the way to a better understanding of the unique biology and clinical behavior of older versus younger GBMs.

SUBMITTER: Bozdag S

PROVIDER: S-EPMC3639162 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Age-specific signatures of glioblastoma at the genomic, genetic, and epigenetic levels.

Bozdag Serdar S Li Aiguo A Riddick Gregory G Kotliarov Yuri Y Baysan Mehmet M Iwamoto Fabio M FM Cam Margaret C MC Kotliarova Svetlana S Fine Howard A HA

PloS one 20130429 4

Age is a powerful predictor of survival in glioblastoma multiforme (GBM) yet the biological basis for the difference in clinical outcome is mostly unknown. Discovering genes and pathways that would explain age-specific survival difference could generate opportunities for novel therapeutics for GBM. Here we have integrated gene expression, exon expression, microRNA expression, copy number alteration, SNP, whole exome sequence, and DNA methylation data sets of a cohort of GBM patients in The Cance ...[more]

PMID: 23658659

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Dataset Information

Age-specific signatures of glioblastoma at the genomic, genetic, and epigenetic levels.

Publications

Age-specific signatures of glioblastoma at the genomic, genetic, and epigenetic levels.

Similar Datasets

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