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Age-Specific Signatures of Glioblastoma at the Genomic, Genetic, and Epigenetic levels

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Published:22 September 2013Publication History

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.

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  1. Age-Specific Signatures of Glioblastoma at the Genomic, Genetic, and Epigenetic levels

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    • Published in

      cover image ACM Conferences
      BCB'13: Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
      September 2013
      987 pages
      ISBN:9781450324342
      DOI:10.1145/2506583

      Copyright © 2013 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 September 2013

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      • tutorial
      • Research
      • Refereed limited

      Acceptance Rates

      BCB'13 Paper Acceptance Rate43of148submissions,29%Overall Acceptance Rate254of885submissions,29%
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