Gene expression profiling and clinical outcome in breast cancer

被引：42

作者：

Bertucci, Francois ^{[1
]}

Finetti, Pascal ^{[1
]}

Cervera, Nathalie ^{[1
]}

Maraninchi, Dominique ^{[1
]}

Viens, Patrice ^{[1
]}

Birnbaum, Daniel ^{[1
]}

机构：

[1] Univ Mediterranee, Inst J Paoli I Calmettes, INSERM UMR 599, Ctr Rech Cancerol Marseille,Dept Oncol Med, F-13273 Marseille 9, France

来源：

OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY | 2006年 / 10卷 / 04期

关键词：

D O I：

10.1089/omi.2006.10.429

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Pathologic and clinical heterogeneity of breast cancer reflects the poorly documented, complex, and combinatory molecular basis of the disease and is in part responsible for therapeutic failures. The DNA microarray technique allows the analysis of RNA expression of several thousands of genes simultaneously in a sample. There are multiple potential applications of the technique in cancer research. A number of recent studies have shown the promising role of gene expression profiling in breast cancer by identifying new prognostic subclasses unidentifiable by conventional parameters and new prognostic and/or predictive gene signatures, whose predictive impact is superior to conventional histoclinical prognostic factors. In this review we describe current use of DNA microarrays in the prognosis of breast cancer. We also discuss issues that need to be addressed in the near future to allow the method to reach its full potential.

引用

页码：429 / 443

页数：15

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