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Published on: October 4, 2019
Candidate glioblastoma development gene identification using concordance between copy number abnormalities and gene
Ken C Lo1, Michael R Rossi, Jeffrey LaDuca
1Department of Cancer Genetics, Roswell Park Cancer Institute, Buffalo, NY 14263, USA.
Genes, Chromosomes & Cancer
|July 11, 2007
Summary
Copy number abnormalities (CNAs) in glioblastoma (GBM) tumors correlate with gene expression changes. This study identified frequently overexpressed genes in amplified regions and reduced expression in deleted regions, aiding in understanding GBM drivers.
Area of Science:
- Genomics
- Cancer Biology
- Molecular Oncology
Background:
- Copy number abnormalities (CNAs) in tumor cells are hypothesized to influence the expression of nearby genes.
- Understanding this relationship is crucial for identifying genes driving tumor development and progression.
Purpose of the Study:
- To investigate the correlation between copy number abnormalities and gene expression levels in glioblastoma (GBM) tumors.
- To identify specific genes and chromosomal regions affected by gains and losses in GBM.
Main Methods:
- Array comparative genome hybridization (aCGH) was used to survey CNAs in 30 GBM tumors.
- Gene expression profiling was performed using Affymetrix U133Plus2.0 oligonucleotide arrays.
- Data integration using an in-house tool to overlay CNA and gene expression datasets.
Main Results:
- Concordance between CNAs and gene expression changes was observed.
- Novel amplicons and frequently overexpressed genes were identified on chromosomes 1, 4, 11, and 12.
- Deletions on chromosomes 9, 10, 11, 14, and 15 correlated with reduced gene expression.
Conclusions:
- The study provides a comprehensive genome-wide screen linking CNAs to gene expression in GBM.
- Identified genes may serve as potential drivers of CNAs in GBM.
- A novel approach for comparing gene expression based on CNA status was developed.
