Creighton Chad J, Rae James M
Bioinformatics Program, University of Michigan Medical Center, Ann Arbor, Michigan, USA.
Breast Cancer Res. 2006;8(4):302. doi: 10.1186/bcr1519.
DNA microarray based gene expression analysis of primary breast cancers is not in general clinical use in spite of the widespread enthusiasm for the approach. However, several studies have identified gene expression patterns, or "signatures" that are predictive of disease outcome and assays based on these findings have become commercially available. Additional studies are required to further define gene signatures that can be used to help tailor the therapy best suited to for an individual patient. Recent gene expression profiling studies using cell line models to identify downstream transcriptional targets of oncogenic signaling pathways may help achieve this goal.
尽管基于DNA微阵列的原发性乳腺癌基因表达分析方法广受追捧,但目前尚未普遍应用于临床。然而,多项研究已识别出可预测疾病转归的基因表达模式或“特征”,基于这些研究结果的检测方法已投入商业使用。还需要进一步开展研究,以进一步明确可用于帮助为个体患者量身定制最适合治疗方案的基因特征。近期利用细胞系模型进行基因表达谱分析研究,以识别致癌信号通路的下游转录靶点,可能有助于实现这一目标。