Nuclear receptor profiling of ovarian granulosa cell tumors

Alexiadis, Maria, Eriksson, Natalie, Jamieson, Stacey, Davis, Melissa, Drummond, Ann E., Chu, Simon, Clyne, Colin D., Muscat, George E. and Fuller, Peter J. (2011) Nuclear receptor profiling of ovarian granulosa cell tumors. Hormones and Cancer, 2 3: 157-169. doi:10.1007/s12672-011-0069-3

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Author Alexiadis, Maria
Eriksson, Natalie
Jamieson, Stacey
Davis, Melissa
Drummond, Ann E.
Chu, Simon
Clyne, Colin D.
Muscat, George E.
Fuller, Peter J.
Title Nuclear receptor profiling of ovarian granulosa cell tumors
Journal name Hormones and Cancer   Check publisher's open access policy
ISSN 1868-8497
Publication date 2011-06
Sub-type Article (original research)
DOI 10.1007/s12672-011-0069-3
Volume 2
Issue 3
Start page 157
End page 169
Total pages 13
Place of publication New York, NY, U.S.A.
Publisher Springer
Collection year 2012
Language eng
Formatted 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.
Keyword Steroid receptors
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online 26/2/11

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
Institute for Molecular Bioscience - Publications
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Citation counts: Scopus Citation Count Cited 26 times in Scopus Article | Citations
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Created: Tue, 24 Jan 2012, 14:11:37 EST by Susan Allen on behalf of Institute for Molecular Bioscience