Gene Expression Analyses in Breast Cancer: Sample Matters

[摘要] Since the advent of microarray technologies that permit high-throughput gene expression analyses in tumor samples, there has been an explosion of data generated, both through the analysis of archived clinical material and through prospective studies that expressly collect samples for molecular analyses (1–3). Fortunately, much of this has been made publicly available through shared repositories, enabling investigators without direct access to clinical material the opportunity to carry out discovery and validation studies to better characterize the molecular basis of tumor behavior and response to therapies (4,5). The recent efforts of The Cancer Genome Atlas and other groups to generate comprehensive molecular profiles of human cancers have further enriched these data sets, now using the current state-of-the-art RNA-seq technologies (2,3).

[学科分类] 肿瘤学