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利用DNA微阵列分析良性和恶性脑膜瘤中的染色体及基因异常

Chromosomal and genetic abnormalities in benign and malignant meningiomas using DNA microarray.

作者信息

Wada Kouichi, Maruno Motohiko, Suzuki Tsuyoshi, Kagawa Naoki, Hashiba Tetsuo, Fujimoto Yasunori, Hashimoto Naoya, Izumoto Shuichi, Yoshimine Toshiki

机构信息

Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan.

出版信息

Neurol Res. 2005 Oct;27(7):747-54. doi: 10.1179/016164105X35648.

Abstract

BACKGROUND

Meningioma is the commonest brain tumor and many genetic abnormalities, such as the loss of chromosome 22q and the mutation of NF2, have been reported.

METHODS

These classical abnormalities were detected using Southern blot, PCR, fluorescence in situ hybridization and comparative genomic hybridization, but these methods examine only very limited regions or limited mapping resolution of the tumor genome. In this study, we used DNA microarray assay, which detects numerous genetic abnormalities simultaneously and analyses a global assessment of molecular events in meningioma cells. We studied 31 meningiomas by GenoSensor Array 300 in order to detect the chromosomal aberrations and genetic abnormalities in the whole genome.

RESULTS

This study demonstrated not only classical chromosomal aberration, such as loss of chromosome 22q in 19 meningiomas (61.3%), but also new genetic characteristics of meningiomas, such as amplification of MSH2 in 16 meningiomas (51.6%), deletion of GSCL in 13 meningiomas (41.9%) and deletion of HIRA in seven meningiomas (22.6%).

CONCLUSIONS

These results suggest that DNA microarray assay is useful in research for the genetic characters of meningiomas and understanding tumorigenesis.

摘要

背景

脑膜瘤是最常见的脑肿瘤,许多基因异常,如22号染色体缺失和NF2突变,已被报道。

方法

这些经典异常通过Southern印迹法、聚合酶链反应、荧光原位杂交和比较基因组杂交进行检测,但这些方法仅检测肿瘤基因组中非常有限的区域或有限的图谱分辨率。在本研究中,我们使用了DNA微阵列分析,该方法可同时检测众多基因异常,并对脑膜瘤细胞中的分子事件进行全面评估。我们使用GenoSensor Array 300研究了31例脑膜瘤,以检测全基因组中的染色体畸变和基因异常。

结果

本研究不仅证实了经典的染色体畸变,如19例脑膜瘤(61.3%)中22号染色体缺失,还发现了脑膜瘤的新基因特征,如16例脑膜瘤(51.6%)中MSH2扩增、13例脑膜瘤(41.9%)中GSCL缺失和7例脑膜瘤(22.6%)中HIRA缺失。

结论

这些结果表明,DNA微阵列分析有助于研究脑膜瘤的基因特征并理解肿瘤发生机制。

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