Bertucci François, Birnbaum Daniel, Goncalves Anthony
Centre de Recherche en Cancérologie de Marseille, Département d'Oncologie Moléculaire, Institut Paoli-Calmettes, IPC, and UMR599 INSERM, 13009 Marseille, France.
Mol Cell Proteomics. 2006 Oct;5(10):1772-86. doi: 10.1074/mcp.R600011-MCP200. Epub 2006 May 29.
Progresses in screening, early diagnosis, prediction of aggressiveness and of therapeutic response or toxicity, and identification of new targets for therapeutic will improve survival of breast cancer. These progresses will likely be accelerated by the new proteomic techniques. In this review, we describe the different techniques currently applied to clinical samples of breast cancer and the most important results obtained with the two most popular proteomic approaches in translational research (tissue microarrays and SELDI-TOF).
在乳腺癌的筛查、早期诊断、侵袭性及治疗反应或毒性预测以及新治疗靶点的识别方面取得的进展将提高乳腺癌患者的生存率。新的蛋白质组学技术可能会加速这些进展。在本综述中，我们描述了目前应用于乳腺癌临床样本的不同技术，以及在转化研究中两种最常用的蛋白质组学方法（组织微阵列和表面增强激光解吸电离飞行时间质谱）所取得的最重要成果。
