Department of Clinical and Translational Research, Institute Gustave-Roussy, Unit of Cancer Epidemiology (Unit 605), National Institute of Health and Medical Research, Villejuif, France.
Sci Transl Med. 2010 Jan 13;2(14):14ps2. doi: 10.1126/scitranslmed.3000313.
Omics technologies are expected to enhance our understanding of a variety of diseases and to open the door to patient-specific personalized medicine. Despite the extensive literature on the use of gene expression arrays to predict prognosis in cancer patients, poor progress has been made in the translation of gene expression signatures for use in the clinics. Breast cancer provides a ripe arena for an analysis of why such signatures have failed to fulfill their promise.
组学技术有望增进我们对各种疾病的认识,并为实现针对患者个体的个性化医疗打开大门。尽管有大量文献报道了使用基因表达谱芯片来预测癌症患者的预后,但在将基因表达谱特征转化为临床应用方面进展甚微。乳腺癌为分析此类特征为何未能兑现其承诺提供了一个成熟的领域。