## Abstract Follicular lymphoma (FL) is characterized by a large number of chromosomal aberrations. However, their exact genomic extension and involved target genes remain to be determined. For this purpose, we used array‐based intermediate‐high resolution genomic profiling in combination with Affy
Microarray-based gene expression profiling of benign, atypical and anaplastic meningiomas identifies novel genes associated with meningioma progression
✍ Scribed by Gunnar Wrobel; Peter Roerig; Felix Kokocinski; Kai Neben; Meinhard Hahn; Guido Reifenberger; Peter Lichter
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- French
- Weight
- 249 KB
- Volume
- 114
- Category
- Article
- ISSN
- 0020-7136
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✦ Synopsis
Abstract
To identify gene expression profiles associated with human meningiomas of different World Health Organization (WHO) malignancy grades, we analyzed 30 tumors (13 benign meningiomas, WHO grade I; 12 atypical meningiomas, WHO grade II; 5 anaplastic meningiomas, WHO grade III) for the expression of 2,600 genes using cDNA‐microarray technology. Receiver operator curve (ROC) analysis with a cutoff value of 45% selection probability identified 37 genes with decreased and 27 genes with increased expression in atypical and anaplastic meningiomas, compared to benign meningiomas. Supervised classification of the tumors did not reveal specific expression patterns representative of each WHO grade. However, anaplastic meningiomas could be distinguished from benign meningiomas by differential expression of a distinct set of genes, including several ones associated with cell cycle regulation and proliferation. Investigation of potential correlations between microarray expression data and genomic aberrations, detected by comparative genomic hybridization (CGH), demonstrated that losses on chromosomes 10 and 14 were associated with distinct expression profiles, including increased expression of several genes related to the insulin‐like growth factor (IGF) (IGF2, IGFBP3 and AKT3) or wingless (WNT) (CTNNB1, CDK5R1, ENC1 and CCND1) pathways. Taken together, our microarray‐based expression profiling revealed interesting novel candidate genes and pathways that may contribute to meningioma progression. © 2004 Wiley‐Liss, Inc.
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