Literature DB >> 18796682

Relationship between gene expression and enhancement in glioblastoma multiforme: exploratory DNA microarray analysis.

Whitney B Pope1, Jenny H Chen, Jun Dong, Marc R J Carlson, Alla Perlina, Timothy F Cloughesy, Linda M Liau, Paul S Mischel, Phioanh Nghiemphu, Albert Lai, Stanley F Nelson.   

Abstract

PURPOSE: To determine the difference in gene expression between completely versus incompletely enhancing glioblastoma multiforme (GBM).
MATERIALS AND METHODS: Gene expression was determined for 52 newly diagnosed GBMs by using DNA microarrays, and the relationship to enhancement pattern and survival was analyzed. This study was approved by the institutional review board and was HIPAA compliant; informed consent was obtained.
RESULTS: Thirty-eight percent (20 of 52) of GBMs were incompletely enhancing (IE). The expression of eight genes was increased more than twofold in IE GBM when compared with completely enhancing (CE) GBM. Among these were tight junction protein-2 (2.2-fold increase, P = .019), and the oligodendroglioma markers oligodendrocyte lineage transcription factor 2 (2.4-fold increase, P = .029) and Achaete-scute complex-like 1 (ASCL1; 2.7-fold increase, P = .023). The expression of 71 genes showed relative overexpression in CE when compared with IE GBM. These included several proangiogenic and edema-related genes, including vascular endothelial growth factor (2.1-fold, P = .005) and neuronal pentraxin-2 (3.0-fold, P = .029). Several genes associated with primary GBM were overexpressed in CE tumors, whereas ASCL1, which is associated with secondary GBM, was overexpressed in IE tumors. Many genes overexpressed in IE GBM were associated with longer survival, whereas several genes overexpressed in CE GBM correlated with shortened survival.
CONCLUSION: The enhancement pattern divides GBM in two groups with differing prognoses. By comparing gene expression between IE and CE GBMs, it was possible to identify genes that may affect magnetic resonance imaging features of edema and enhancement, and genes whose expression levels are predictive of both improved and shortened survival. (c) RSNA, 2008.

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Year:  2008        PMID: 18796682      PMCID: PMC2798090          DOI: 10.1148/radiol.2491072000

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  36 in total

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9.  Identifying the mesenchymal molecular subtype of glioblastoma using quantitative volumetric analysis of anatomic magnetic resonance images.

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