乳腺癌预后的生物标志物评估与分子检测
Biomarker assessment and molecular testing for prognostication in breast cancer.
作者信息
Kos Zuzana, Dabbs David J
机构信息
University of Ottawa and The Ottawa Hospital, Ottawa, ON, Canada.
Magee-Women's Hospital, UPMC, Pittsburgh, PA, USA.
出版信息
Histopathology. 2016 Jan;68(1):70-85. doi: 10.1111/his.12795.
Current treatment of breast cancer incorporates clinical, pathological and molecular data. Oestrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) define prognosis and identify tumours for targeted therapy, and remain the sole established single-molecule biomarkers defining the minimum breast cancer pathology data set. Ki67 remains one of the most promising yet controversial biomarkers in breast cancer, implemented routinely in some, but not all, pathology departments. Beyond the single-molecule biomarkers, a host of multigene expression tests have been developed to interrogate the driver pathways and biology of individual breast cancers to predict clinical outcome more accurately. A minority of these assays have entered into clinical practice. This review focuses on the established biomarkers of ER, PR and HER2, the controversial but clinically implemented biomarker Ki67 and the currently marketed gene expression signatures.
目前乳腺癌的治疗结合了临床、病理和分子数据。雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子受体2(HER2)可确定预后并识别适合靶向治疗的肿瘤,并且仍然是定义最小乳腺癌病理数据集的唯一已确立的单分子生物标志物。Ki67仍然是乳腺癌中最有前景但也最具争议的生物标志物之一,一些病理科常规使用,但并非所有病理科都如此。除了单分子生物标志物外,还开发了许多多基因表达测试来探究个体乳腺癌的驱动途径和生物学特性,以更准确地预测临床结果。其中少数检测方法已进入临床实践。本综述重点关注已确立的ER、PR和HER2生物标志物、有争议但已临床应用的生物标志物Ki67以及目前已上市的基因表达特征。