Signaling pathways in breast cancer metastasis - novel insights from functional genomics.
Signaling pathways in breast cancer metastasis - novel insights from functional genomics.
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DOI：
10.1186/bcr2831
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发表时间：
2011-03-14
期刊：
影响因子：
--
通讯作者：
Kang Y
中科院分区：
文献类型：
--
作者：
Blanco MA;Kang Y
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。原发性肿瘤的基因表达分析已被用于高准确性地预测转移倾向。转移的动物模型另外提供了一个平台，以实验方式剖析转移基因程序的组成部分。最近的综合研究已经协同临床生物信息学分析与先进的实验方法，并开始揭示驱动乳腺癌转移的信号程序的身份和动力学。这种功能基因组学研究为理解转移的遗传基础和改善晚期疾病的治疗方法带来了巨大的希望。
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.