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儿童髓母细胞瘤的转录谱分析

Transcriptional profiling of medulloblastoma in children.

作者信息

Park Paul C, Taylor Michael D, Mainprize Todd G, Becker Laurence E, Ho Michael, Dura Wieslaw T, Squire Jeremy, Rutka James T

机构信息

Ontario Cancer Institute, University of Toronto, Toronto, Ontario, Canada.

出版信息

J Neurosurg. 2003 Sep;99(3):534-41. doi: 10.3171/jns.2003.99.3.0534.

DOI:10.3171/jns.2003.99.3.0534
PMID:12959442
Abstract

OBJECT

Although medulloblastoma is the most common malignant brain tumor found in children, little is known about its molecular pathogenesis. The authors have attempted to compare patterns of gene expression in medulloblastoma samples with those in the healthy cerebellum.

METHODS

The authors used complementary (c)DNA microarray analysis to compare the expression of genes in samples of medulloblastoma and normal cerebellum. The expression levels of a subset of genes were then verified by immunohistochemical analysis. Six genes were identified that were expressed at a much higher level in at least five of six medulloblastomas: ezrin, cyclin D2, high mobility group protein 2, MAPRE1, histone deacetylase 2, and ornithine decarboxylase 1. A number of potentially important genes whose expression was much lower in medulloblastomas than in control cerebellum were also identified: tenascin R, TRK-B, FGF receptor, and death receptor 3. The expression levels of a subset of the identified genes were confirmed by immunohistochemical analysis, which was performed on fetal cerebellum and medulloblastoma samples.

CONCLUSIONS

The authors demonstrate that cDNA microarray analysis is an effective method of increasing understanding of the molecular biology of medulloblastomas found in children. A comparison between gene expression patterns in medulloblastoma and those observed in healthy cerebellum may provide clues as to the origin of these tumors and may lead to the identification of new genes or pathways to be targeted for future therapies.

摘要

目的

尽管髓母细胞瘤是儿童中最常见的恶性脑肿瘤,但其分子发病机制仍鲜为人知。作者试图比较髓母细胞瘤样本与健康小脑样本中的基因表达模式。

方法

作者使用互补(c)DNA微阵列分析来比较髓母细胞瘤样本和正常小脑样本中的基因表达。然后通过免疫组织化学分析验证了一部分基因的表达水平。鉴定出六个基因,它们在六个髓母细胞瘤中的至少五个中表达水平要高得多:埃兹蛋白、细胞周期蛋白D2、高迁移率族蛋白2、MAPRE1、组蛋白脱乙酰基酶2和鸟氨酸脱羧酶1。还鉴定出一些在髓母细胞瘤中表达远低于对照小脑的潜在重要基因:腱生蛋白R、TRK-B、成纤维细胞生长因子受体和死亡受体3。通过对胎儿小脑和髓母细胞瘤样本进行免疫组织化学分析,证实了一部分鉴定基因的表达水平。

结论

作者证明cDNA微阵列分析是增进对儿童髓母细胞瘤分子生物学理解的有效方法。髓母细胞瘤与健康小脑中基因表达模式的比较可能为这些肿瘤的起源提供线索,并可能导致鉴定出未来治疗可靶向的新基因或途径。

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