J Clin Invest. 2014 Feb;124(2):478-80. doi: 10.1172/JCI73910. Epub 2014 Jan 27.
Current breast cancer classification systems are based on molecular evaluation of tumor receptor status and do not account for distinct morphological phenotypes. In other types of cancer, taxonomy based on normal cell phenotypes has been extremely useful for diagnosis and treatment strategies. In this issue of the JCI, Santagata and colleagues developed a breast cancer classification scheme based on characterization of healthy mammary cells. Reclassification of breast cancer cells and breast cancer tissue microarrays with this system correlated with prognosis better than the standard receptor status designation. This scheme provides a major advance toward our understanding of the origin of the cells in the breast and breast cancers.
目前的乳腺癌分类系统基于肿瘤受体状态的分子评估,而不考虑不同的形态表型。在其他类型的癌症中,基于正常细胞表型的分类法对于诊断和治疗策略非常有用。在本期 JCI 中,Santagata 及其同事基于对健康乳腺细胞的特征描述,制定了一种乳腺癌分类方案。该系统对乳腺癌细胞和乳腺癌组织微阵列的重新分类与预后的相关性优于标准受体状态指定。该方案为我们理解乳腺细胞和乳腺癌的起源提供了重大进展。