Willis Scooter, De Pradip, Dey Nandini, Long Bradley, Young Brandon, Sparano Joseph A, Wang Victoria, Davidson Nancy E, Leyland-Jones Brian R
Avera Cancer Institute, Sioux Falls, SD, United States.
The Scripps Research Institute, Jupiter, FL, United States.
Meta Gene. 2015 May 15;4:129-41. doi: 10.1016/j.mgene.2015.04.002. eCollection 2015 Jun.
Triple negative (TN) breast cancers which lack expression of the estrogen (ER), progesterone (PR), and human epidermal growth factor 2 (HER2) receptors convey a poor prognosis due in part to a lack of targeted therapies.
To identify viable targets for the treatment of TN disease, we have conducted a gene set enrichment analysis (GSEA) on seven different breast cancer whole genome gene expression cohorts comparing TN vs. ER + HER2 - to identify consistently enriched genes that share a common promoter motif. The seven cohorts were profiled on three different genome expression platforms (Affymetrix, Illumina and RNAseq) consisting in total of 2088 samples with IHC metadata.
GSEA identified enriched gene expression patterns in TN samples that share common promoter motifs associated with SOX9, E2F1, HIF1A, HMGA1, MYC BACH2, CEBPB, and GCNF/NR6A1. Unexpectedly, NR6A1 an orphan nuclear receptor normally expressed in germ cells of gonads is highly expressed in TN and ER + HER2 - samples making it an ideal drug target.
With the increasing number of large sample size breast cancer cohorts, an exploratory analysis of genes that are consistently enriched in TN sharing common promoter motifs allows for the identification of possible therapeutic targets with extensive validation in patient derived data sets.
三阴性(TN)乳腺癌缺乏雌激素(ER)、孕激素(PR)和人表皮生长因子2(HER2)受体的表达,部分由于缺乏靶向治疗,其预后较差。
为了确定TN疾病治疗的可行靶点,我们对七个不同的乳腺癌全基因组基因表达队列进行了基因集富集分析(GSEA),比较TN与ER + HER2 - 以鉴定具有共同启动子基序的持续富集基因。这七个队列在三个不同的基因组表达平台(Affymetrix、Illumina和RNAseq)上进行了分析,总共包含2088个带有免疫组化元数据的样本。
GSEA在TN样本中鉴定出富集的基因表达模式,这些模式与SOX9、E2F1、HIF1A、HMGA1、MYC、BACH2、CEBPB和GCNF/NR6A1相关的共同启动子基序。出乎意料的是,孤儿核受体NR6A1通常在性腺生殖细胞中表达,在TN和ER + HER2 - 样本中高度表达,使其成为理想的药物靶点。
随着大样本量乳腺癌队列数量的增加,对TN中持续富集且具有共同启动子基序的基因进行探索性分析,有助于在患者来源的数据集中进行广泛验证,从而确定可能的治疗靶点。