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PMID: 15687694 已发表 · ppublish 英语

Gene expression profiling in breast cancer research.

Breast disease ·第 19 卷 ·2005-03-21

Meltzer Paul S

摘要

The gene expression profiles of breast cancers can now be determined with microarray technologies which measure the expression of tens of thousands of genes. By applying statistical and bioinformatics tools to gene expression data, tumors can be classified into biologically and clinically relevant categories. In addition to improving tumor classification, gene expression signatures have been identified which are related to BRCA1 and BRCA2 mutation status, ER status, and patient prognosis. Beyond its impact on research into the basic mechanisms of breast tumor progression, continued progress in tumor gene expression profiling appears likely to lead to clinically useful gene expression tests.

文献信息
期刊
Breast disease
期刊简称
Breast Dis
ISSN
0888-6008
发表日期
2005-03-21
收录日期
2005-02-02
更新日期
2005-02-02
语言
英语
国家/地区
Netherlands
NLM ID
8801277
外部链接
PubMed 原文
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