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Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
Relationship between gene expression and enhancement in glioblastoma multiforme: exploratory DNA microarray analysis.
Whitney B Pope1, Jenny H Chen, Jun Dong
1Department of Radiological Sciences, David Geffen School of Medicine at University of California-Los Angeles (UCLA) Medical Center, 10833 Le Conte Ave, BL-428/CHS, Los Angeles, CA 90095-1721, USA. wpope@mednet.ucla.edu
Radiology
|September 18, 2008
Summary
Glioblastoma multiforme (GBM) enhancement patterns reveal distinct gene expression profiles. These profiles correlate with prognosis, offering insights into tumor behavior and survival outcomes.
Area of Science:
- Neuro-oncology
- Molecular Biology
- Radiology
Background:
- Glioblastoma multiforme (GBM) is an aggressive brain tumor.
- Tumor enhancement patterns on MRI can vary, suggesting underlying biological differences.
Purpose of the Study:
- To investigate gene expression differences between completely enhancing (CE) and incompletely enhancing (IE) GBM.
- To identify genes associated with GBM enhancement patterns and patient survival.
Main Methods:
- DNA microarrays were used to analyze gene expression in 52 newly diagnosed GBM patients.
- Correlation between gene expression, enhancement pattern, and survival was assessed.
Main Results:
- Incompletely enhancing GBM (38%) showed overexpression of eight genes, including tight junction protein-2 and ASCL1.
- Completely enhancing GBM exhibited overexpression of 71 genes, including proangiogenic and edema-related factors like VEGF.
- ASCL1, associated with secondary GBM, was overexpressed in IE GBM, while CE GBM showed genes linked to primary GBM.
Conclusions:
- GBM enhancement patterns define prognostically distinct subgroups.
- Gene expression analysis identified potential biomarkers for MRI features and patient survival in GBM.
