医学
乳腺癌
恶性肿瘤
精密医学
个性化医疗
肿瘤科
雌激素受体
内科学
基因组学
病态的
癌症
生物信息学
病理
基因
基因组
遗传学
生物
作者
Richard D. Baird,Carlos Caldas
出处
期刊:BMC Medicine
[Springer Nature]
日期:2013-06-18
卷期号:11 (1)
被引量:52
标识
DOI:10.1186/1741-7015-11-151
摘要
More women die from breast cancer across the world today than from any other type of malignancy. The clinical course of breast cancer varies tremendously between patients. While some of this variability is explained by traditional clinico-pathological factors (including patient age, tumor stage, histological grade and estrogen receptor status), molecular profiling studies have defined breast cancer subtypes with distinct clinical outcomes. This mini-review considers recent studies which have used genomics technologies in an attempt to identify new biomarkers of prognosis and treatment response. These studies highlight the genetic heterogeneity that exists within breast cancers in space and time.
科研通智能强力驱动
Strongly Powered by AbleSci AI