Department of Molecular Biology, Washington Road, LTL 255, Princeton University, Princeton, NJ 08544, USA.
Breast Cancer Res. 2011 Mar 14;13(2):206. doi: 10.1186/bcr2831.
The advent of genomic profiling technology has brought about revolutionary changes in our understanding of breast cancer metastasis. Gene expression analyses of primary tumors have been used to predict metastatic propensity with high accuracy. Animal models of metastasis additionally offer a platform to experimentally dissect components of the metastasis genetic program. Recent integrated studies have synergized clinical bioinformatic analyses with advanced experimental methodology and begun to uncover the identities and dynamics of signaling programs driving breast cancer metastasis. Such functional genomics studies hold great promise for understanding the genetic basis of metastasis and improving therapeutics for advanced diseases.
基因组分析技术的出现给我们对乳腺癌转移的理解带来了革命性的变化。对原发肿瘤的基因表达分析已被用于高度准确地预测转移倾向。转移的动物模型另外还提供了一个实验性剖析转移遗传程序组成部分的平台。最近的综合研究已经将临床生物信息学分析与先进的实验方法学结合起来，开始揭示驱动乳腺癌转移的信号转导程序的特征和动态。这种功能基因组学研究为理解转移的遗传基础和改进晚期疾病的治疗方法提供了巨大的希望。
