Progesterone Receptor Variation and Ovarian Cancer Risk
Author Information
Author(s): Pearce C L, Wu A H, Gayther S A, Bale A E, Beck P A, Beesley J, Chanock S, Cramer D W, DiCioccio R, Edwards R, Fredericksen Z S, Garcia-Closas M, Goode E L, Green A C, Hartmann L C, Hogdall E, Kjær S K, Lissowska J, McGuire V, Modugno F, Moysich K, Ness R B, Ramus S J, Risch H A, Sellers T A, Song H, Stram D O, Terry K L, Webb P M, Whiteman D C, Whittemore A S, Zheng W, Pharoah P D P, Chenevix-Trench G, Pike M C, Schildkraut J, Berchuck A
Primary Institution: Department of Preventive Medicine, Keck School of Medicine, University of Southern California
Hypothesis
Does variation in the progesterone receptor gene influence the risk of ovarian cancer?
Conclusion
The study found that while three variants in the progesterone receptor gene are not associated with overall ovarian cancer risk, the PROGINS variant may increase the risk specifically for endometrioid ovarian cancer.
Supporting Evidence
- The study included 4788 ovarian cancer cases and 7614 controls.
- Statistically significant association was found between the PROGINS allele and endometrioid ovarian cancer risk.
- Suggestive evidence of association was observed for the +331C/T variant with endometrioid ovarian cancer.
Takeaway
This study looked at how certain gene changes might affect the risk of getting ovarian cancer, and found that one specific change could be linked to a certain type of ovarian cancer.
Methodology
The study used unconditional logistic regression to analyze data from 12 case-control studies, examining three specific SNPs in the progesterone receptor gene.
Potential Biases
Different levels of pathology review across studies may introduce random misclassification.
Limitations
Variable participation rates among studies and potential misclassification of histology could bias results.
Participant Demographics
92% of cases and 93% of controls were White, with mean ages of 56.7 and 54.3 years respectively.
Statistical Information
P-Value
0.036
Confidence Interval
95% CI=1.01–1.36
Statistical Significance
p=0.036
Digital Object Identifier (DOI)
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