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

Publication ,  Journal Article
White, KL; Vierkant, RA; Fogarty, ZC; Charbonneau, B; Block, MS; Pharoah, PDP; Chenevix-Trench, G; for AOCS/ACS group; , ; Rossing, MA; Menon, U ...
Published in: Cancer Epidemiol Biomarkers Prev
May 2013

BACKGROUND: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated 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.

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Published In

Cancer Epidemiol Biomarkers Prev

DOI

EISSN

1538-7755

Publication Date

May 2013

Volume

22

Issue

5

Start / End Page

987 / 992

Location

United States

Related Subject Headings

  • Survival Analysis
  • Proportional Hazards Models
  • Prognosis
  • Polymorphism, Single Nucleotide
  • Polymorphism, Genetic
  • Ovarian Neoplasms
  • Humans
  • Genotype
  • Genetic Predisposition to Disease
  • Genetic Association Studies
 

Citation

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Chicago
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MLA
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White, K. L., Vierkant, R. A., Fogarty, Z. C., Charbonneau, B., Block, M. S., Pharoah, P. D. P., … Goode, E. L. (2013). Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome. Cancer Epidemiol Biomarkers Prev, 22(5), 987–992. https://doi.org/10.1158/1055-9965.EPI-13-0028
White, Kristin L., Robert A. Vierkant, Zachary C. Fogarty, Bridget Charbonneau, Matthew S. Block, Paul D. P. Pharoah, Georgia Chenevix-Trench, et al. “Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome.Cancer Epidemiol Biomarkers Prev 22, no. 5 (May 2013): 987–92. https://doi.org/10.1158/1055-9965.EPI-13-0028.
White KL, Vierkant RA, Fogarty ZC, Charbonneau B, Block MS, Pharoah PDP, et al. Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome. Cancer Epidemiol Biomarkers Prev. 2013 May;22(5):987–92.
White, Kristin L., et al. “Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome.Cancer Epidemiol Biomarkers Prev, vol. 22, no. 5, May 2013, pp. 987–92. Pubmed, doi:10.1158/1055-9965.EPI-13-0028.
White KL, Vierkant RA, Fogarty ZC, Charbonneau B, Block MS, Pharoah PDP, Chenevix-Trench G, for AOCS/ACS group;, Rossing MA, Cramer DW, Pearce CL, Schildkraut JM, Menon U, Kjaer SK, Levine DA, Gronwald J, Culver HA, Whittemore AS, Karlan BY, Lambrechts D, Wentzensen N, Kupryjanczyk J, Chang-Claude J, Bandera EV, Hogdall E, Heitz F, Kaye SB, Fasching PA, Campbell I, Goodman MT, Pejovic T, Bean Y, Lurie G, Eccles D, Hein A, Beckmann MW, Ekici AB, Paul J, Brown R, Flanagan JM, Harter P, du Bois A, Schwaab I, Hogdall CK, Lundvall L, Olson SH, Orlow I, Paddock LE, Rudolph A, Eilber U, Dansonka-Mieszkowska A, Rzepecka IK, 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 JH, Ziogas A, Lubinski J, Cybulski C, Menkiszak J, Jensen A, Gayther SA, Ramus SJ, Gentry-Maharaj A, Berchuck A, Wu AH, Pike MC, Van Denberg D, Terry KL, Vitonis AF, Doherty JA, Johnatty SE, Defazio A, Song H, Tyrer J, Sellers TA, Phelan CM, Kalli KR, Cunningham JM, Fridley BL, Goode EL. Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome. Cancer Epidemiol Biomarkers Prev. 2013 May;22(5):987–992.

Published In

Cancer Epidemiol Biomarkers Prev

DOI

EISSN

1538-7755

Publication Date

May 2013

Volume

22

Issue

5

Start / End Page

987 / 992

Location

United States

Related Subject Headings

  • Survival Analysis
  • Proportional Hazards Models
  • Prognosis
  • Polymorphism, Single Nucleotide
  • Polymorphism, Genetic
  • Ovarian Neoplasms
  • Humans
  • Genotype
  • Genetic Predisposition to Disease
  • Genetic Association Studies