Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia 30322, USA.
Oncology (Williston Park). 2013 Mar;27(3):204-10.
The use of gene expression profiling has impacted our understanding of breast cancer biology and increasingly has played a role in guiding clinical decisions. We have used hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status for years to guide selection of therapy. More recently, gene expression analysis has facilitated the identification of at least five intrinsic subtypes of breast cancer. Potential therapeutic targets have also been identified using genomic profiling. Several tests, such as the 21-gene recurrence score assay (Oncotype DX) and the 70-gene prognosis signature (MammaPrint), have been well validated as prognostic tools for early-stage breast cancer, and have aided in adjuvant therapy decisions for early-stage, HR-positive breast cancer patients. Genomic profiling has the potential to provide additional insight into drug discovery and clinical trial design by identifying appropriate targeted therapies for subtypes of breast cancer.
基因表达谱分析已经影响了我们对乳腺癌生物学的理解,并逐渐在指导临床决策中发挥作用。多年来,我们一直使用激素受体(HR)和人表皮生长因子受体 2(HER2)状态来指导治疗选择。最近,基因表达分析促进了至少五种乳腺癌内在亚型的鉴定。使用基因组分析还确定了潜在的治疗靶点。一些检测方法,如 21 基因复发评分检测(Oncotype DX)和 70 基因预后特征(MammaPrint),已被很好地验证为早期乳腺癌的预后工具,并为早期 HR 阳性乳腺癌患者的辅助治疗决策提供了帮助。通过确定乳腺癌亚型的适当靶向治疗方法,基因组分析有可能为药物发现和临床试验设计提供更多的见解。