Deptartment of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA.
Molecular Pharmacology Training Program, University of Pittsburgh, Pittsburgh, PA, USA.
Horm Cancer. 2018 Dec;9(6):399-407. doi: 10.1007/s12672-018-0350-9. Epub 2018 Oct 9.
To investigate changes in estrogen receptor alpha (ERα) signaling during progression of endometriosis to endometriosis-associated ovarian cancer (EAOC) as a driver of malignant transformation. We procured tissue samples of normal endometrium, endometriosis (benign, atypical, concurrent with EAOC), and EAOC. We evaluated expression of a 236-gene signature of estrogen signaling. ANOVA and unsupervised clustering were used to identify gene expression profiles across disease states. These profiles were compared to profiles of estrogen regulation in cancer models from the Gene Expression Omnibus (GEO). Gene Set Enrichment Analysis (GSEA) was performed to determine whether gene expression in EAOC was consistent with ERα activity. ANOVA revealed 158 differentially expressed genes (q < 0.05) and unsupervised clustering identified five distinct gene clusters. The estrogen signaling profile of EAOC was not consistent with activated ERα in pre-clinical models. Gene set enrichment analysis did not identify signatures of activated ERα in EAOC but instead identified expression patterns consistent with loss of ERα function and development of endocrine resistance. Gene expression data suggest that ERα signaling becomes inactivated throughout the progression of endometriosis to EAOC. The gene expression pattern in EAOC is more consistent with profiles of endocrine resistance.
为了研究雌激素受体 alpha(ERα)信号在子宫内膜异位症向子宫内膜异位症相关卵巢癌(EAOC)进展过程中的变化,因为这是恶性转化的驱动因素。我们采集了正常子宫内膜、子宫内膜异位症(良性、非典型、同时患有 EAOC)和 EAOC 的组织样本。我们评估了 236 个雌激素信号基因特征的表达情况。使用方差分析和无监督聚类来识别疾病状态下的基因表达谱。将这些谱与来自基因表达综合数据库(GEO)的癌症模型中的雌激素调节谱进行比较。进行基因集富集分析(GSEA)以确定 EAOC 中的基因表达是否与 ERα 活性一致。方差分析显示 158 个差异表达基因(q<0.05),无监督聚类识别出五个不同的基因簇。EAOC 的雌激素信号谱与临床前模型中激活的 ERα 不一致。基因集富集分析并未在 EAOC 中识别出激活的 ERα 特征,而是确定了与 ERα 功能丧失和内分泌抵抗发展一致的表达模式。基因表达数据表明,ERα 信号在子宫内膜异位症向 EAOC 进展过程中失活。EAOC 的基因表达谱更符合内分泌抵抗的特征。