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

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

doi:10.1158/1055-9965.EPI-13-0028

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

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

19 Citations (Scopus)

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.

Original language	English
Journal	Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
Volume	22
Issue number	5
Pages (from-to)	987-992
Number of pages	6
ISSN	1055-9965
DOIs	https://doi.org/10.1158/1055-9965.EPI-13-0028
Publication status	Published - May 2013

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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., ... 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 & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 22(5), 987-992. https://doi.org/10.1158/1055-9965.EPI-13-0028

Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome. / White, Kristin L; Vierkant, Robert A; Fogarty, Zachary C et al.

In: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, Vol. 22, No. 5, 05.2013, p. 987-992.

Research output: Contribution to journal › Journal article › Research › peer-review

White, KL, Vierkant, RA, Fogarty, ZC, Charbonneau, B, Block, MS, Pharoah, PDP, Chenevix-Trench, G, 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, RJ, 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 2013, 'Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome', Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, vol. 22, no. 5, pp. 987-992. 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 epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 2013 May;22(5):987-992. doi: 10.1158/1055-9965.EPI-13-0028

White, Kristin L ; Vierkant, Robert A ; Fogarty, Zachary C et al. / Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome. In: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 2013 ; Vol. 22, No. 5. pp. 987-992.

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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.",

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

year = "2013",

month = may,

doi = "10.1158/1055-9965.EPI-13-0028",

language = "English",

volume = "22",

pages = "987--992",

journal = "Cancer Epidemiology, Biomarkers & Prevention",

issn = "1055-9965",

publisher = "American Association for Cancer Research (A A C R)",

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T1 - Analysis of over 10,000 Cases finds no association between previously reported candidate polymorphisms and ovarian cancer outcome

AU - White, Kristin L

AU - Vierkant, Robert A

AU - Fogarty, Zachary C

AU - Charbonneau, Bridget

AU - Block, Matthew S

AU - Pharoah, Paul D P

AU - Chenevix-Trench, Georgia

AU - Rossing, Mary Anne

AU - Cramer, Daniel W

AU - Pearce, Celeste Leigh

AU - Schildkraut, Joellen M

AU - Menon, Usha

AU - Kjaer, Susanne Kruger

AU - Levine, Douglas A

AU - Gronwald, Jacek

AU - Culver, Hoda Anton

AU - Whittemore, Alice S

AU - Karlan, Beth Y

AU - Lambrechts, Diether

AU - Wentzensen, Nicolas

AU - Kupryjanczyk, Jolanta

AU - Chang-Claude, Jenny

AU - Bandera, Elisa V

AU - Hogdall, Estrid

AU - Heitz, Florian

AU - Kaye, Stanley B

AU - Fasching, Peter A

AU - Campbell, Ian

AU - Goodman, Marc T

AU - Pejovic, Tanja

AU - Bean, Yukie

AU - Lurie, Galina

AU - Eccles, Diana

AU - Hein, Alexander

AU - Beckmann, Matthias W

AU - Ekici, Arif B

AU - Paul, James

AU - Brown, Robert James (Jim)

AU - Flanagan, James M

AU - Harter, Philipp

AU - du Bois, Andreas

AU - Schwaab, Ira

AU - Hogdall, Claus K

AU - Lundvall, Lene

AU - Olson, Sara H

AU - Orlow, Irene

AU - Paddock, Lisa E

AU - Rudolph, Anja

AU - Eilber, Ursula

AU - Dansonka-Mieszkowska, Agnieszka

AU - Rzepecka, Iwona K

AU - Ziolkowska-Seta, Izabela

AU - Brinton, Louise

AU - Yang, Hannah

AU - Garcia-Closas, Montserrat

AU - Despierre, Evelyn

AU - Lambrechts, Sandrina

AU - Vergote, Ignace

AU - Walsh, Christine

AU - Lester, Jenny

AU - Sieh, Weiva

AU - McGuire, Valerie

AU - Rothstein, Joseph H

AU - Ziogas, Argyrios

AU - Lubinski, Jan

AU - Cybulski, Cezary

AU - Menkiszak, Janusz

AU - Jensen, Allan

AU - Gayther, Simon A

AU - Ramus, Susan J

AU - Gentry-Maharaj, Aleksandra

AU - Berchuck, Andrew

AU - Wu, Anna H

AU - Pike, Malcolm C

AU - Van Denberg, David

AU - Terry, Kathryn L

AU - Vitonis, Allison F

AU - Doherty, Jennifer A

AU - Johnatty, Sharon E

AU - Defazio, Anna

AU - Song, Honglin

AU - Tyrer, Jonathan

AU - Sellers, Thomas A

AU - Phelan, Catherine M

AU - Kalli, Kimberly R

AU - Cunningham, Julie M

AU - Fridley, Brooke L

AU - Goode, Ellen L

PY - 2013/5

Y1 - 2013/5

N2 - 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.

AB - 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.

U2 - 10.1158/1055-9965.EPI-13-0028

DO - 10.1158/1055-9965.EPI-13-0028

M3 - Journal article

C2 - 23513043

SN - 1055-9965

VL - 22

SP - 987

EP - 992

JO - Cancer Epidemiology, Biomarkers & Prevention

JF - Cancer Epidemiology, Biomarkers & Prevention

IS - 5

ER -

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

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