Analysis of over 10,000 cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome

White K.L., Vierkant R.A., Fogarty Z.C., Charbonneau B., Block M.S., Pharoah P.D.P., Chenevix-Trench G., Rossing M.A., Cramer D.W., Pearce C.L., Schildkraut J.M., Menon U., Kjaer S.K., Levine D.A., Gronwald J., Culver H.A., Whittemore A.S., Karlan B.Y., Lambrechts D., Wentzensen N., Kupryjanczyk J., Chang-Claude J., Bandera E.V., Hogdall E., Heitz F., Kaye S.B., Fasching P.A., Campbell I., Goodman M.T., Pejovic T., Bean Y., Lurie G., Eccles D., Hein A., Beckmann M.W., Ekici A.B., Paul J., Brown R., Flanagan J.M., Harter P., Du Bois A., Schwaab I., Hogdall C.K., Lundvall L., Olson S.H., Orlow I., Paddock L.E., Rudolph A., Eilber U., Dansonka-Mieszkowska A., Rzepecka I.K., Ziolkowska-Seta I., Brinton L., Yang H., Garcia-Closas M., Despierre E., Lambrechts S., Vergote I., Walsh C., Lester J., Sieh W., McGuire V., Rothstein J.H., Ziogas A., Lubinski J., Cybulski C., Menkiszak J., Jensen A., Gayther S.A., Ramus S.J., Gentry-Maharaj A., Berchuck A., Wu A.H., Pike M.C., Van DenBerg D., Terry K.L., Vitonis A.F., Doherty J.A., Johnatty S.E., DeFazio A., Song H., Tyrer J., Sellers T.A., Phelan C.M., Kalli K.R., Cunningham J.M., Fridley B.L. and Goode E.L. (2013) Analysis of over 10,000 cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome. Cancer Epidemiology Biomarkers and Prevention, 22 5: 987-992. doi:10.1158/1055-9965.EPI-13-0028

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Author White K.L.
Vierkant R.A.
Fogarty Z.C.
Charbonneau B.
Block M.S.
Pharoah P.D.P.
Chenevix-Trench G.
Rossing M.A.
Cramer D.W.
Pearce C.L.
Schildkraut J.M.
Menon U.
Kjaer S.K.
Levine D.A.
Gronwald J.
Culver H.A.
Whittemore A.S.
Karlan B.Y.
Lambrechts D.
Wentzensen N.
Kupryjanczyk J.
Chang-Claude J.
Bandera E.V.
Hogdall E.
Heitz F.
Kaye S.B.
Fasching P.A.
Campbell I.
Goodman M.T.
Pejovic T.
Bean Y.
Lurie G.
Eccles D.
Hein A.
Beckmann M.W.
Ekici A.B.
Paul J.
Brown R.
Flanagan J.M.
Harter P.
Du Bois A.
Schwaab I.
Hogdall C.K.
Lundvall L.
Olson S.H.
Orlow I.
Paddock L.E.
Rudolph A.
Eilber U.
Dansonka-Mieszkowska A.
Rzepecka I.K.
Ziolkowska-Seta I.
Brinton L.
Yang H.
Garcia-Closas M.
Despierre E.
Lambrechts S.
Vergote I.
Walsh C.
Lester J.
Sieh W.
McGuire V.
Rothstein J.H.
Ziogas A.
Lubinski J.
Cybulski C.
Menkiszak J.
Jensen A.
Gayther S.A.
Ramus S.J.
Gentry-Maharaj A.
Berchuck A.
Wu A.H.
Pike M.C.
Van DenBerg D.
Terry K.L.
Vitonis A.F.
Doherty J.A.
Johnatty S.E.
DeFazio A.
Song H.
Tyrer J.
Sellers T.A.
Phelan C.M.
Kalli K.R.
Cunningham J.M.
Fridley B.L.
Goode E.L.
Title Analysis of over 10,000 cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome
Journal name Cancer Epidemiology Biomarkers and Prevention   Check publisher's open access policy
ISSN 1055-9965
1538-7755
Publication date 2013
Sub-type Article (original research)
DOI 10.1158/1055-9965.EPI-13-0028
Open Access Status
Volume 22
Issue 5
Start page 987
End page 992
Total pages 6
Place of publication Philadelphia, PA, U.S.A.
Publisher American Association for Cancer Research
Collection year 2014
Language eng
Subject 2713 Epidemiology
2730 Oncology
Abstract Background: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome,weevaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed. Cancer Epidemiol Biomarkers Prev; 22(5); 987-92.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Medicine Publications
 
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Created: Tue, 01 Apr 2014, 14:16:08 EST by Matthew Lamb on behalf of School of Medicine