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Multicenter Study
. 2015 Mar;136(3):542-8.
doi: 10.1016/j.ygyno.2014.12.017. Epub 2014 Dec 17.

Evaluating the ovarian cancer gonadotropin hypothesis: a candidate gene study

Alice W Lee  1 Jonathan P Tyrer  2 Jennifer A Doherty  3 Douglas A Stram  1 Jolanta Kupryjanczyk  4 Agnieszka Dansonka-Mieszkowska  4 Joanna Plisiecka-Halasa  4 Beata Spiewankiewicz  5 Emily J Myers  1 Australian Cancer Study (Ovarian Cancer)Australian Ovarian Cancer Study GroupGeorgia Chenevix-Trench  6 Peter A Fasching  7 Matthias W Beckmann  8 Arif B Ekici  9 Alexander Hein  8 Ignace Vergote  10 Els Van Nieuwenhuysen  10 Diether Lambrechts  11 Kristine G Wicklund  12 Ursula Eilber  13 Shan Wang-Gohrke  14 Jenny Chang-Claude  13 Anja Rudolph  13 Lara Sucheston-Campbell  15 Kunle Odunsi  16 Kirsten B Moysich  15 Yurii B Shvetsov  17 Pamela J Thompson  18 Marc T Goodman  18 Lynne R Wilkens  17 Thilo Dörk  19 Peter Hillemanns  20 Matthias Dürst  21 Ingo B Runnebaum  21 Natalia Bogdanova  19 Liisa M Pelttari  22 Heli Nevanlinna  22 Arto Leminen  22 Robert P Edwards  23 Joseph L Kelley  24 Philipp Harter  25 Ira Schwaab  26 Florian Heitz  25 Andreas du Bois  25 Sandra Orsulic  27 Jenny Lester  27 Christine Walsh  27 Beth Y Karlan  27 Estrid Hogdall  28 Susanne K Kjaer  29 Allan Jensen  30 Robert A Vierkant  31 Julie M Cunningham  32 Ellen L Goode  31 Brooke L Fridley  33 Melissa C Southey  34 Graham G Giles  35 Fiona Bruinsma  36 Xifeng Wu  37 Michelle A T Hildebrandt  37 Karen Lu  38 Dong Liang  39 Maria Bisogna  40 Douglas A Levine  40 Rachel Palmieri Weber  41 Joellen M Schildkraut  42 Edwin S Iversen  43 Andrew Berchuck  44 Kathryn L Terry  45 Daniel W Cramer  45 Shelley S Tworoger  46 Elizabeth M Poole  46 Sara H Olson  47 Irene Orlow  47 Elisa V Bandera  48 Line Bjorge  49 Ingvild L Tangen  49 Helga B Salvesen  49 Camilla Krakstad  49 Leon F A G Massuger  50 Lambertus A Kiemeney  51 Katja K H Aben  52 Anne M van Altena  50 Yukie Bean  53 Tanja Pejovic  53 Melissa Kellar  53 Nhu D Le  54 Linda S Cook  55 Linda E Kelemen  56 Angela Brooks-Wilson  57 Jan Lubinski  58 Jacek Gronwald  58 Cezary Cybulski  58 Anna Jakubowska  58 Nicolas Wentzensen  59 Louise A Brinton  59 Jolanta Lissowska  60 Hannah Yang  59 Lotte Nedergaard  61 Lene Lundvall  62 Claus Hogdall  62 Honglin Song  2 Ian G Campbell  63 Diana Eccles  64 Rosalind Glasspool  65 Nadeem Siddiqui  66 Karen Carty  65 James Paul  65 Iain A McNeish  67 Weiva Sieh  68 Valerie McGuire  68 Joseph H Rothstein  68 Alice S Whittemore  68 John R McLaughlin  69 Harvey A Risch  70 Catherine M Phelan  71 Hoda Anton-Culver  72 Argyrios Ziogas  73 Usha Menon  74 Susan J Ramus  1 Aleksandra Gentry-Maharaj  74 Patricia Harrington  75 Malcolm C Pike  76 Francesmary Modugno  77 Mary Anne Rossing  78 Roberta B Ness  79 Paul D P Pharoah  80 Daniel O Stram  1 Anna H Wu  1 Celeste Leigh Pearce  81
Affiliations
Multicenter Study

Evaluating the ovarian cancer gonadotropin hypothesis: a candidate gene study

Alice W Lee et al. Gynecol Oncol. 2015 Mar.

Abstract

Objective: Ovarian cancer is a hormone-related disease with a strong genetic basis. However, none of its high-penetrance susceptibility genes and GWAS-identified variants to date are known to be involved in hormonal pathways. Given the hypothesized etiologic role of gonadotropins, an assessment of how variability in genes involved in the gonadotropin signaling pathway impacts disease risk is warranted.

Methods: Genetic data from 41 ovarian cancer study sites were pooled and unconditional logistic regression was used to evaluate whether any of the 2185 SNPs from 11 gonadotropin signaling pathway genes was associated with ovarian cancer risk. A burden test using the admixture likelihood (AML) method was also used to evaluate gene-level associations.

Results: We did not find any genome-wide significant associations between individual SNPs and ovarian cancer risk. However, there was some suggestion of gene-level associations for four gonadotropin signaling pathway genes: INHBB (p=0.045, mucinous), LHCGR (p=0.046, high-grade serous), GNRH (p=0.041, high-grade serous), and FSHB (p=0.036, overall invasive). There was also suggestive evidence for INHA (p=0.060, overall invasive).

Conclusions: Ovarian cancer studies have limited sample numbers, thus fewer genome-wide susceptibility alleles, with only modest associations, have been identified relative to breast and prostate cancers. We have evaluated the majority of ovarian cancer studies with biological samples, to our knowledge, leaving no opportunity for replication. Using both our understanding of biology and powerful gene-level tests, we have identified four putative ovarian cancer loci near INHBB, LHCGR, GNRH, and FSHB that warrant a second look if larger sample sizes and denser genotype chips become available.

Keywords: Gene; Genetic variation; Genetics; Gonadotropins; Ovarian cancer; Polymorphisms.

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Conflict of interest statement

Conflict of interest statement

Andrew Berchuck serves on the PARP inhibitor advisory board for Astra Zeneca and Usha Menon owns shares of Abcodia Ltd., a biomarker validation company.

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