Predicting responses to chemotherapy in breast cancer: from bench to bedside

被引：0
|
作者：
Akashi-Tanaka, Sadako [1 ]
机构：
[1] Natl Canc Ctr, Div Breast Surg, Chuo Ku, Tokyo 1040045, Japan
来源：
BREAST CANCER | 2010年 / 17卷 / 02期
关键词：
Breast cancer; Predictive factor; Gene expression profile; Chemotherapy; Pharmacogenomics; GENE-EXPRESSION; NEOADJUVANT CHEMOTHERAPY; DOCETAXEL; EFFICACY; THERAPY; TRASTUZUMAB; SUBTYPES; MARKER; WOMEN; TRIAL;
D O I：
10.1007/s12282-009-0166-0
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Recent progress in biotechnology, notably microarray analyses, makes it possible to examine the genome-based characteristics of tumors with different prognoses and predict responses to chemotherapy. Furthermore, pharmacogenomic techniques are expected to predict the optimal regimen for individual patients that will provide high benefits with reduced toxicity. Some predictive or prognostic tests for breast cancer are now moving from bench to bedside.
引用
收藏
页码：92 / 96
页数：5
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