The Evolution of Estrogen Receptor Signaling in the Progression of Endometriosis to Endometriosis-Associated Ovarian Cancer

被引:0
|
作者
Courtney L. Andersen
Michelle M. Boisen
Matthew J. Sikora
Tianzhou Ma
George Tseng
Swati Suryawanshi
Anda Vlad
Esther Elishaev
Robert P. Edwards
Steffi Oesterreich
机构
[1] University of Pittsburgh,Deptartment of Pharmacology & Chemical Biology
[2] University of Pittsburgh,Molecular Pharmacology Training Program
[3] University of Pittsburgh Cancer Institute,Women’s Cancer Research Center
[4] University of Pittsburgh,Deptartment of Obstetrics, Gynecology, & Reproductive Sciences
[5] Magee-Womens Hospital of the University of Pittsburgh Medical Center,Division of Gynecologic Oncology
[6] University of Pittsburgh,Deptartment of Biostatistics
[7] Magee-Womens Hospital of UPMC,Deptartment of Pathology
来源
Hormones and Cancer | 2018年 / 9卷
关键词
Endometriosis; Estrogen receptor alpha; Human; Estrogens; Ovarian neoplasms; Transcriptome;
D O I
暂无
中图分类号
学科分类号
摘要
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.
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页码:399 / 407
页数:8
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