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用于乳腺癌转移诊断、预后评估及治疗的基因芯片

Gene arrays for diagnosis, prognosis and treatment of breast cancer metastasis.

作者信息

Driouch Keltouma, Landemaine Thomas, Sin Soraya, Wang ShaoXiao, Lidereau Rosette

机构信息

Centre René Huguenin, FNCLCC, INSERM U735, Saint-Cloud, France.

出版信息

Clin Exp Metastasis. 2007;24(8):575-85. doi: 10.1007/s10585-007-9110-x. Epub 2007 Nov 1.

Abstract

The advent of microarray tools has generated a massive amount of gene expression data. These data have greatly enhanced our understanding of the biology of breast cancer metastasis and provide a way to improve the prediction of the metastatic potential of breast tumours. Gene-expression profiling has highlighted the molecular heterogeneity of mammary tumours and contributed to the identification of a new molecular classification of breast cancers. In addition, several molecular signatures predicting the likelihood of distant metastases for breast cancer patients have been characterized. Further reports have described gene expression profiles associated with specific metastatic phenotypes, including the organ preference of breast cancer metastasis. Here we review the major studies that had important impacts on the understanding of breast cancer metastasis. We also discuss the future challenges in this research field and the special issues that still need to be examined.

摘要

微阵列工具的出现产生了大量的基因表达数据。这些数据极大地增进了我们对乳腺癌转移生物学的理解,并提供了一种改善乳腺癌转移潜能预测的方法。基因表达谱分析突出了乳腺肿瘤的分子异质性,并有助于确定乳腺癌的新分子分类。此外,已经鉴定出几种预测乳腺癌患者远处转移可能性的分子特征。进一步的报告描述了与特定转移表型相关的基因表达谱,包括乳腺癌转移的器官偏好性。在这里,我们回顾了对理解乳腺癌转移有重要影响的主要研究。我们还讨论了该研究领域未来的挑战以及仍需研究的特殊问题。

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