Esteva Francisco J, Hortobagyi Gabriel N
Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Breast Cancer Res. 2004;6(3):109-18. doi: 10.1186/bcr777. Epub 2004 Mar 11.
A multitude of molecules involved in breast cancer biology have been studied as potential prognostic markers. In the present review we discuss the role of established molecular markers, as well as potential applications of emerging new technologies. Those molecules used routinely to make treatment decisions in patients with early-stage breast cancer include markers of proliferation (e.g. Ki-67), hormone receptors, and the human epidermal growth factor receptor 2. Tumor markers shown to have prognostic value but not used routinely include cyclin D1 and cyclin E, urokinase-like plasminogen activator/plasminogen activator inhibitor, and cathepsin D. The level of evidence for other molecular markers is lower, in part because most studies were retrospective and not adequately powered, making their findings unsuitable for choosing treatments for individual patients. Gene microarrays have been successfully used to classify breast cancers into subtypes with specific gene expression profiles and to evaluate prognosis. RT-PCR has also been used to evaluate expression of multiple genes in archival tissue. Proteomics technologies are in development.
众多参与乳腺癌生物学过程的分子已被作为潜在的预后标志物进行研究。在本综述中,我们讨论了既定分子标志物的作用以及新兴新技术的潜在应用。那些常用于早期乳腺癌患者治疗决策的分子包括增殖标志物(如Ki-67)、激素受体和人表皮生长因子受体2。已显示具有预后价值但未常规使用的肿瘤标志物包括细胞周期蛋白D1和细胞周期蛋白E、尿激酶型纤溶酶原激活物/纤溶酶原激活物抑制剂以及组织蛋白酶D。其他分子标志物的证据水平较低,部分原因是大多数研究是回顾性的且样本量不足,使其研究结果不适用于为个体患者选择治疗方案。基因微阵列已成功用于将乳腺癌分类为具有特定基因表达谱的亚型并评估预后。逆转录聚合酶链反应(RT-PCR)也已用于评估存档组织中多个基因的表达。蛋白质组学技术正在发展中。