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Analysis of Over 10,000 Cases Finds No Association between Previously Reported Candidate Polymorphisms and Ovarian Cancer Outcome

Authors :
Jolanta Kupryjanczyk
Nicolas Wentzensen
Simon A. Gayther
Celeste Leigh Pearce
Susanne K. Kjaer
Irene Orlow
Zachary C. Fogarty
Evelyn Despierre
Yukie Bean
Georgia Chenevix-Trench
Robert A. Vierkant
Agnieszka Dansonka-Mieszkowska
Lene Lundvall
Jonathan Tyrer
Joellen M. Schildkraut
Izabela Ziolkowska-Seta
Diana Eccles
Iwona K. Rzepecka
Catherine M. Phelan
Hoda Anton Culver
Jennifer A. Doherty
Ignace Vergote
Daniel W. Cramer
Matthias W. Beckmann
Susan J. Ramus
Paul D.P. Pharoah
Honglin Song
Ursula Eilber
Galina Lurie
Jan Lubinski
Philipp Harter
Sandrina Lambrechts
David Van DenBerg
James Paul
Ellen L. Goode
Claus Høgdall
Janusz Menkiszak
James M. Flanagan
Christine Walsh
Julie M. Cunningham
Jenny Lester
Kristin L. White
Elisa V. Bandera
Robert S. Brown
Allan Jensen
Stanley B. Kaye
Matthew S. Block
Sharon E. Johnatty
Louise A. Brinton
Estrid Høgdall
Malcolm C. Pike
Thomas A. Sellers
Arif B. Ekici
Andreas du Bois
Hannah P. Yang
Aleksandra Gentry-Maharaj
Cezary Cybulski
Jenny Chang-Claude
Valerie McGuire
Marc T. Goodman
Anna deFazio
Ian G. Campbell
Argyrios Ziogas
Alexander Hein
Lisa E. Paddock
Usha Menon
Brooke L. Fridley
Mary Anne Rossing
Douglas A. Levine
Bridget Charbonneau
Andrew Berchuck
Jacek Gronwald
Alice S. Whittemore
Joseph H. Rothstein
Anja Rudolph
Weiva Sieh
Kimberly R. Kalli
Sara H. Olson
Allison F. Vitonis
Anna H. Wu
Tanja Pejovic
Peter A. Fasching
Florian Heitz
Beth Y. Karlan
Diether Lambrechts
Kathryn L. Terry
Ira Schwaab
Montserrat Garcia-Closas
Source :
Cancer Epidemiology Biomarkers & Prevention; Vol 22, Cancer Epidemiology Biomarkers & Prevention
Publication Year :
2013
Publisher :
AMER ASSOC CANCER RESEARCH, 2013.

Abstract

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. Cancer Epidemiol Biomarkers Prev; 22(5); 987–. ©2013 AACR.

Details

Language :
English
ISSN :
10559965
Volume :
22
Issue :
5
Database :
OpenAIRE
Journal :
Cancer Epidemiology Biomarkers & Prevention
Accession number :
edsair.doi.dedup.....5bb7b9c9d21ae855bc189310937237c5
Full Text :
https://doi.org/10.1158/1055-9965.EPI-13-0028