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Microarray‐based gene expression profiling of benign, atypical and anaplastic meningiomas identifies novel genes associated with meningioma progression
Author(s) -
Wrobel Gunnar,
Roerig Peter,
Kokocinski Felix,
Neben Kai,
Hahn Meinhard,
Reifenberger Guido,
Lichter Peter
Publication year - 2004
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.20733
Subject(s) - meningioma , gene expression profiling , biology , microarray , gene , comparative genomic hybridization , microarray analysis techniques , cancer research , gene expression , dna microarray , pathology , genetics , medicine , genome
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.