Gene expression predictors in breast cancer: Current status, limitations and perspectives

被引：34

作者：

Desmedt, C. ^{[3
]}

Ruiz-Garcia, E. ^{[1
,2
]}

Andre, F. ^{[1
,2
]}

机构：

[1] Univ Paris 11, Inst Gustave Roussy, Translat Res Unit, UPRES EA 03535, F-94805 Villejuif, France

[2] Univ Paris 11, Inst Gustave Roussy, Dept Med Oncol Com 050, F-94805 Villejuif, France

[3] Univ Libre Bruxelles, Inst Jules Bordet, Brussels, Belgium

来源：

EUROPEAN JOURNAL OF CANCER | 2008年 / 44卷 / 18期

关键词：

Breast cancer; Gene expression profiles; Prognosis; Prediction;

D O I：

10.1016/j.ejca.2008.09.011

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Breast Cancer is characterised by a wide heterogeneity regarding outcome and drug sensitivity A better prediction of these two parameters at the individual level should improve patient management and therefore also improve both the quality of life and the overall survival of the patient. Several molecular predictors for prognosis (MammaPrint (R) or Oncotype DX) and drug prediction (DLD30, SET index) have been generated using DNA-based arrays or RT-PCR, some of these being tested in phase III trials. Although they exhibit good metric performance and should improve the quality of care in the next decade, these predictors are considered suboptimal regarding the potential of the technology. New study design and arrays should generate more powerful second generation gene signatures. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：2714 / 2720

页数：7

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