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Progesterone receptor variation and risk of ovarian cancer is limited to the invasive endometrioid subtype: results from the ovarian cancer association consortium pooled analysis

Authors :
Jolanta Lissowska
Anna H. Wu
Celeste Leigh Pearce
Paul D.P. Pharoah
Jonathan Beesley
Ellen L. Goode
Lynn C. Hartmann
Francesmary Modugno
Valerie McGuire
M. C. Pike
Susanne K. Kjaer
M Garcia-Closas
Robert Edwards
Danielle Stram
Honglin Song
T A Sellers
Joellen M. Schildkraut
Harvey A. Risch
Andrew Berchuck
Patricia A. Beck
Wei Zheng
S. Chanock
Estrid Høgdall
Susan J. Ramus
K. Moysich
Allen E. Bale
Georgia Chenevix-Trench
Roberta B. Ness
Adèle C. Green
Alice S. Whittemore
Kathryn L. Terry
Richard A. DiCioccio
David C. Whiteman
Penelope M. Webb
Daniel W. Cramer
Zachary S. Fredericksen
Simon A. Gayther
Source :
British Journal of Cancer
Publication Year :
2008
Publisher :
Springer Science and Business Media LLC, 2008.

Abstract

There is evidence that progesterone plays a role in the aetiology of invasive epithelial ovarian cancer. Therefore, genes involved in pathways that regulate progesterone may be candidates for susceptibility to this disease. Previous studies have suggested that genetic variants in the progesterone receptor gene (PGR) may be associated with ovarian cancer risk, although results have been inconsistent. We have established an international consortium to pool resources and data from many ovarian cancer case–control studies in an effort to identify variants that influence risk. In this study, three PGR single nucleotide polymorphisms (SNPs), for which previous data have suggested they affect ovarian cancer risk, were examined. These were +331 C/T (rs10895068), PROGINS (rs1042838), and a 3′ variant (rs608995). A total of 4788 ovarian cancer cases and 7614 controls from 12 case–control studies were included in this analysis. Unconditional logistic regression was used to model the association between each SNP and ovarian cancer risk and two-sided P-values are reported. Overall, risk of ovarian cancer was not associated with any of the three variants studied. However, in histopathological subtype analyses, we found a statistically significant association between risk of endometrioid ovarian cancer and the PROGINS allele (n=651, OR=1.17, 95% CI=1.01–1.36, P=0.036). We also observed borderline evidence of an association between risk of endometrioid ovarian cancer and the +331C/T variant (n=725 cases; OR=0.80, 95% CI 0.62–1.04, P=0.100). These data suggest that while these three variants in the PGR are not associated with ovarian cancer overall, the PROGINS variant may play a modest role in risk of endometrioid ovarian cancer.

Details

ISSN :
15321827 and 00070920
Volume :
98
Database :
OpenAIRE
Journal :
British Journal of Cancer
Accession number :
edsair.doi.dedup.....d181c7778d1e165d582226c00b8eb018
Full Text :
https://doi.org/10.1038/sj.bjc.6604170