Expression profiling to predict outcome in breast cancer:: the influence of sample selection

被引：39

作者：

Gruvberger, SK

Ringnér, M

Edén, P

Borg, Å

Fernö, M

Peterson, C

Meltzer, PS ^{[1
]}

机构：

[1] NHGRI, Canc Genet Branch, NIH, Bethesda, MD 20892 USA

[2] Univ Lund Hosp, Jubileum Inst, Dept Oncol, S-22185 Lund, Sweden

[3] Lund Univ, Dept Theoret Phys, Complex Syst Div, S-22362 Lund, Sweden

来源：

BREAST CANCER RESEARCH | 2003年 / 5卷 / 01期

关键词：

breast cancer; estrogen receptor; gene expression; microarray; prognosis;

D O I：

10.1186/bcr548

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Gene expression profiling of tumors using DNA microarrays is a promising method for predicting prognosis and treatment response in cancer patients. It was recently reported that expression profiles of sporadic breast cancers could be used to predict disease recurrence better than currently available clinical and histopathological prognostic factors. Having observed an overlap in those data between the genes that predict outcome and those that predict estrogen receptor-alpha status, we examined their predictive power in an independent data set. We conclude that it may be important to define prognostic expression profiles separately for estrogen receptor-alpha-positive and estrogen receptor-alpha-negative tumors.

引用

页码：23 / 26

页数：4

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