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成骨细胞特异性因子 2 在前列腺癌相关基质中的表达:通过微阵列技术鉴定。

Osteoblast-specific factor 2 expression in prostate cancer-associated stroma: identification through microarray technology.

机构信息

Center for Prostate Disease Research, Department of Surgery and United States Military Cancer Institute, Uniformed Service University of the Health Science, Bethesda, Maryland, USA.

出版信息

Urology. 2010 Apr;75(4):768-72. doi: 10.1016/j.urology.2009.10.026. Epub 2009 Dec 29.

Abstract

OBJECTIVES

To better understand the gene expression patterns in tumor-associated stroma, laser-capture-microdissections from clinical specimens were analyzed by genome-wide-expression microarray technology. The epithelial-stromal interaction plays a critical role in prostate development, reactive changes, and tumorigenesis. Diverse microarray technologies have been used to characterize the molecular changes in prostate cancer. Even though these gene expression studies are compromised by the heterogeneity of the tumor, as well as by the difficulty associated with collecting appropriate counterparts to represent normal prostate cells, the gene array data from tumors have shown promising results. Currently, little is known about the tumor-associated stromal gene expression profile in prostate cancer.

METHODS

Matching benign and malignant epithelial cell-related stroma cells were subjected to microarray platforms.

RESULTS

The prostatatic stroma expressed several osteogenic molecules. In particular, one of the genes, OSF2, was upregulated in tumor-associated stroma compared with benign epithelial cell associated stroma, which was further validated by immunohistochemical examination.

CONCLUSIONS

These data show that the combination of laser capture dissection with computational enhancement of epithelial and stromal microarray data is a useful tool to assess gene expression changes in prostate cancer stroma.

摘要

目的

通过全基因组表达微阵列技术分析来自临床标本的激光捕获微切割,以更好地了解肿瘤相关基质中的基因表达模式。上皮-基质相互作用在前列腺发育、反应性变化和肿瘤发生中起着关键作用。多种微阵列技术已被用于描述前列腺癌中的分子变化。尽管这些基因表达研究受到肿瘤异质性以及收集合适的对应物来代表正常前列腺细胞的困难的影响,但来自肿瘤的基因阵列数据显示出了有希望的结果。目前,对于前列腺癌中肿瘤相关基质的基因表达谱知之甚少。

方法

将良性和恶性上皮细胞相关的基质细胞进行微阵列平台处理。

结果

前列腺基质表达了几种成骨分子。特别是,基因 OSF2 在肿瘤相关基质中的表达高于良性上皮细胞相关基质,这通过免疫组织化学检查进一步得到了验证。

结论

这些数据表明,将激光捕获切割与上皮和基质微阵列数据的计算增强相结合,是评估前列腺癌基质中基因表达变化的有用工具。

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