Mook Stella, Van't Veer Laura J, Rutgers Emiel J T, Piccart-Gebhart Martine J, Cardoso Fatima
Netherlands Cancer Institute, Amsterdam, The Netherlands.
Cancer Genomics Proteomics. 2007 May-Jun;4(3):147-55.
To date, most treatment decisions for adjuvant chemotherapy in breast cancer are sed on conventional clinicopathological criteria. Since breast cancer tumors with similar clinicopathological characteristics can have strikingly different outcomes, the current selection for adjuvant chemotherapy is far from accurate. Using high-throughput microarray analysis, a 70-gene signature was identified which can accurately select early stage breast cancer patients who are highly likely to develop distant metastases, and therefore, may benefit the most from adjuvant chemotherapy. This review describes the development of the 70-gene profile (Mammaprint), its retrospective validation and feasibility studies, and its prospective validation in the large adjuvant MINDACT (Microarray In Node-negative Disease may Avoid ChemoTherapy) clinical trial.
迄今为止,大多数乳腺癌辅助化疗的治疗决策是基于传统的临床病理标准。由于具有相似临床病理特征的乳腺癌肿瘤可能有截然不同的预后,目前辅助化疗的选择远非准确。通过高通量微阵列分析,确定了一种70基因特征,它可以准确地选择出极有可能发生远处转移的早期乳腺癌患者,因此,这些患者可能从辅助化疗中获益最大。本综述描述了70基因谱(Mammaprint)的发展、其回顾性验证和可行性研究,以及在大型辅助MINDACT(微阵列在淋巴结阴性疾病中可避免化疗)临床试验中的前瞻性验证。