Liu Edison T, Sotiriou Christos
Genome Institute of Singapore, 1 Science Park Road, #05-01 Science Park II, Singapore.
Breast Cancer Res. 2002;4(4):141-4. doi: 10.1186/bcr438. Epub 2002 May 23.
Recent reports detailing the expression profiles of primary breast cancer have pointed to the utility of this approach in defining subclasses with distinct molecular configurations and clinical behaviour. Some of the subclasses can be predicted by current molecular tests: estrogen receptor status, p53 staining, and HER-2 overexpression. Others, however, are novel subgroups and may represent distinct cellular types. The results from two recent studies suggest common principles of classification by expression profiling. These principles are examined and the impact of these results on understanding the biology and the clinical behaviour of breast tumors is explored.
近期有关原发性乳腺癌表达谱的详细报告指出了这种方法在定义具有不同分子结构和临床行为的亚类方面的实用性。一些亚类可以通过当前的分子检测来预测:雌激素受体状态、p53染色以及HER-2过表达。然而,其他一些则是新的亚组,可能代表不同的细胞类型。两项近期研究的结果表明了通过表达谱进行分类的共同原则。本文对这些原则进行了探讨,并研究了这些结果对理解乳腺肿瘤生物学和临床行为的影响。