TY - JOUR
T1 - Age-Specific Signatures of Glioblastoma at the Genomic, Genetic, and Epigenetic Levels
AU - Bozdag, Serdar
AU - Li, Aiguo
AU - Riddick, Gregory
AU - Kotliarov, Yuri
AU - Baysan, Mehmet
AU - Iwamoto, Fabio M.
AU - Cam, Margaret C.
AU - Kotliarova, Svetlana
AU - Fine, Howard A.
PY - 2013/4/29
Y1 - 2013/4/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84876895426&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0062982
DO - 10.1371/journal.pone.0062982
M3 - Article
C2 - 23658659
AN - SCOPUS:84876895426
SN - 1932-6203
VL - 8
JO - PLoS ONE
JF - PLoS ONE
IS - 4
M1 - e62982
ER -