ArticleHormones & cancer2011
Nuclear receptor profiling of ovarian granulosa cell tumors.
Article in Hormones & cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 55 citations in OpenAlex.
- Ovarian Rev-erbα: a central regulator of fertility following chronodisruption.Frontiers in endocrinology · 2026Article
- Article
- Efficacy of cyclin-dependent kinase 4/6 inhibitors in preclinical adult-type ovarian granulosa cell tumor models.Gynecologic oncology · 2025Article
- Significance of androgen receptor and its potential for anti-androgen/androgen receptor-antagonist therapy in ovarian cancers.PloS one · 2025Article
- Article
- Androgen receptor expression in recurrent granulosa cell tumor of the ovary: Clinical considerations of treatment and surveillance in a transgender male.Gynecologic oncology reports · 2024Review
- PGRMC1 and PAQR4 are promising molecular targets for a rare subtype of ovarian cancer.Open life sciences · 2024Article
- ERβ in Granulosa Cell Tumors and Its Clinical Potential.Endocrinology · 2023Review
- Integrating Precision Medicine into the Contemporary Management of Gynecologic Cancers.Current oncology reports · 2022Review
- Androgen/Androgen Receptor Signaling in Ovarian Cancer: Molecular Regulation and Therapeutic Potentials.International journal of molecular sciences · 2021Review
- Functional Profiling of FSH and Estradiol in Ovarian Granulosa Cell Tumors.Journal of the Endocrine Society · 2020Article
- Comparative Tumorigenicity and DNA Damage Induced by Dibenzo[ def,p]chrysene and Its Metabolites in the Mouse Ovary.Chemical research in toxicology · 2018Article
- FOXL2C134W-Induced CYP19 Expression via Cooperation With SMAD3 in HGrC1 Cells.Endocrinology · 2018Article
- Mutational heterogeneity in non-serous ovarian cancers.Scientific reports · 2017Article
- Article
- Insights into granulosa cell tumors using spontaneous or genetically engineered mouse models.Clinical and experimental reproductive medicine · 2016Review
- Excessive levels of diverse phytoestrogens can modulate steroidogenesis and cell migration of KGN human granulosa-derived tumor cells.Toxicology reports · 2014Article
- Characterization of the inhibitor of kappaB kinase (IKK) complex in granulosa cell tumors of the ovary and granulosa cell tumor-derived cell lines.Hormones & cancer · 2013Article
- In-depth proteomic characterization of endogenous nuclear receptors in mouse liver.Molecular & cellular proteomics : MCP · 2013Article
- Synthesis and biological evaluation of two agents for imaging estrogen receptor β by positron emission tomography: challenges in PET imaging of a low abundance target.Nuclear medicine and biology · 2012Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Granulosa cell tumors of the ovary (GCT) represent ~5% of malignant ovarian tumors. The adult form is defined by a mutation in the FOXL2 gene. GCT exhibit many of the features of normal proliferating granulosa cells. We have profiled the expression of the 48 human nuclear receptors (NR) by quantitative RT-PCR in a panel of GCT and in two GCT-derived cell lines, COV434 and KGN. The highest level of expression is seen for COUP-TF2 with abundant expression of PPARγ, SF-1, and TR-α. Estrogen receptor (ER)-β is the most abundant of the steroid receptors with relatively high expression also of AR, ER-α, and PR. The concordance of expression for each NR across the tumors is remarkably high with same discordance between the cell lines and the tumors, particularly the COV434 line. No significant differences were observed with respect to tumor stage for NR expression. These findings provide a full profile of NR expression in GCT which will enable full characterization of their roles and potential as therapeutic targets.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.