Vivanco María dM
Cell Biology, Parque Technológico de Bizkaia, Derio, Spain.
Methods Mol Biol. 2010;593:137-56. doi: 10.1007/978-1-60327-194-3_7.
Breast cancer is one of the leading causes of death in women worldwide. During the last decade, great developments in our understanding of breast cancer at the molecular level have arisen from microarray data. Molecular profiling has supported the notion that breast cancer is not a simple disease with a single tumorigenic pathway but a rather heterogeneous one. Gene expression studies have identified and validated the existence of different breast cancer subtypes whose signatures correlate with the clinical outcome. Therefore, the identification of gene expression patterns has become a key issue in understanding the biological diversity of breast tumors, leading to new hope for diagnosis, prognosis, and future treatment. This chapter is a selection of some of the key results that have contributed to the advance toward this end.
乳腺癌是全球女性主要死因之一。在过去十年中，基于微阵列数据，我们对乳腺癌分子水平的认识有了很大进展。分子谱分析支持了这样一种观点，即乳腺癌并非是一种具有单一致瘤途径的简单疾病，而是一种相当异质性的疾病。基因表达研究已经识别并验证了不同乳腺癌亚型的存在，这些亚型的特征与临床结果相关。因此，识别基因表达模式已成为理解乳腺肿瘤生物多样性的关键问题，为诊断、预后及未来治疗带来了新希望。本章精选了一些有助于实现这一目标的关键成果。
