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The Evolution of Estrogen Receptor Signaling in the Progression of Endometriosis to Endometriosis-Associated Ovarian Cancer.
Andersen, Courtney L; Boisen, Michelle M; Sikora, Matthew J; Ma, Tianzhou; Tseng, George; Suryawanshi, Swati; Vlad, Anda; Elishaev, Esther; Edwards, Robert P; Oesterreich, Steffi.
Afiliação
  • Andersen CL; Deptartment of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA.
  • Boisen MM; Molecular Pharmacology Training Program, University of Pittsburgh, Pittsburgh, PA, USA.
  • Sikora MJ; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA.
  • Ma T; Deptartment of Obstetrics, Gynecology, & Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA. boockmeiermm@mail.magee.edu.
  • Tseng G; Division of Gynecologic Oncology, Magee-Womens Hospital of the University of Pittsburgh Medical Center, 300 Halket St., Pittsburgh, PA, 15217, USA. boockmeiermm@mail.magee.edu.
  • Suryawanshi S; Deptartment of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA.
  • Vlad A; Women's Cancer Research Center, University of Pittsburgh Cancer Institute, Pittsburgh, PA, USA.
  • Elishaev E; Deptartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Edwards RP; Deptartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Oesterreich S; Deptartment of Obstetrics, Gynecology, & Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Horm Cancer ; 9(6): 399-407, 2018 12.
Article em En | MEDLINE | ID: mdl-30302736
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Receptor alfa de Estrogênio / Endometriose / Carcinoma Epitelial do Ovário Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Receptor alfa de Estrogênio / Endometriose / Carcinoma Epitelial do Ovário Idioma: En Ano de publicação: 2018 Tipo de documento: Article