Ovarian cancer risk and common variation in the sex hormone-binding globulin gene: a population-based case-control study
© Garcia-Closas et al; licensee BioMed Central Ltd. 2007
Received: 11 November 2006
Accepted: 05 April 2007
Published: 05 April 2007
The sex hormone-binding globulin (SHBG) is a carrier protein that modulates the bio-availability of serum sex steroid hormones, which may be involved in ovarian cancer. We evaluated whether common genetic variation in SHBG and its 3' neighbor ATP1B2, in linkage disequilibrium, is associated with the risk of epithelial ovarian cancer.
The study population included 264 women with ovarian carcinoma and 625 controls participating in a population-based case-control study in Poland. Five common single nucleotide polymorphisms (SNPs) in SHGB and five in ATP1B2 were selected to capture most common variation in this region.
None of the SNPs evaluated was significantly associated with ovarian cancer risk, including the putative functional SNPs SHBG D356N (rs6259) and -67G>A 5'UTR (rs1799941). However, our data were consistent with a decreased ovarian cancer risk associated with the variant alleles for these two SNPs, which have been previously associated with increased circulating levels of SHBG.
These data do not support a substantial association between common genetic variation in SHBG and ovarian cancer risk.
Hormonal stimulation of ovarian epithelial cells has been proposed as a mechanism for carcinogenesis of the ovaries . The evidence for sex steroid hormones playing a role in ovarian cancer is primarily indirect, based on animal and in vitro studies, as well epidemiological observations , while the relationship between circulating levels of sex steroids and ovarian cancer risk has not been clearly demonstrated [2, 3].
The sex steroid hormone-binding globulin (SHBG) gene regulates the action of sex steroid hormones by modulating their bioavailability to target tissues such as the ovaries . The SHBG gene is located on the short arm of chromosome 17. A non-synonymous SNP in exon 8 results in an amino acid substitution of asparagine for aspartic acid (D356N, rs6259) in the SHBG protein, and the asparagine (N) allele of SHBG has been associated with elevated circulating levels of SHBG in post-menopausal women [5–7]. An additional SNP in the 5' untranslated region (UTR) of SHBG has also been associated with elevated SHBG levels . These data suggest that common variation in SHBG has functional relevance and thus, could affect the risk of hormonally-related cancers.
We performed a detailed assessment of common genetic variation in SHBG and evaluated the possibility of an association with ovarian cancer risk in the Polish Ovarian Cancer Study. We included SNPs in the SHBG 3' flanking gene ATPase, Na+/K+ transporting beta 2 polypeptide (ATP1B2) because of the observation of linkage disequilibrium (LD) that extends across SHBG and ATP1B2 based on a re-sequencing study . The enzyme encoded by ATP1B2 is involved in establishing and maintaining the electrochemical gradients of Na and K ions across the plasma membrane. Inclusion of neighboring genes in studies of relationships between disease and common genetic variation is of interest because they could affect the regulation of the protein of interest.
The Polish Ovarian Cancer Study is a population-based case-control study of ovarian cancer conducted among female residents of Warsaw and Lodz (Poland), 20–74 years of age. Eligible cases consisted of all women newly diagnosed with histologically confirmed ovarian carcinoma or a borderline tumor identified during the study period (June 2001 – December 2003). We identified a total of 437 eligible cases. Most (76%) cases were idenditfied through a rapid ascertainment system in participating hospitals, and the remaining cases (24%) missed by this system were identified through cancer registries. Control women were randomly selected within matching strata from complete population lists (PESEL database) of Warsaw and Lodz residents from 2001 to 2004, and were frequency matched to cases on age (5-year groups) and study site (Warsaw and Lodz). Women who reported a previous diagnosis of ovarian cancer or bilateral oopherectomy were excluded as controls. Of the eligible cases and controls, 78% and 69%, respectively, agreed to participate in the study. The main reasons for non-participation among eligible subjects included: refusal to participate (11% cases and 24% controls); unable to locate (3% cases and 7% controls), and deceased (7% cases and <0.1% controls). This resulted in 341 cases and 1994 controls participating in the main study.
All participants underwent a personal interview regarding known or suspected ovarian cancer risk factors. The median time from diagnosis to interview was 2.4 months, ranging from 5 days to one year. Of the interviewed women, 315 (92%) cases and 1911 (96%) controls provided a blood or buccal cell sample for DNA extraction; however, eight of these cases were excluded because of limited amounts of DNA or quality control problems. This report is limited to carcinomas; therefore 22 cases with borderline tumors and 21 cases with non-epithelial tumors were further excluded from the analyses, leaving 264 cases (241 with blood and 23 with buccal cell DNA). For costs-efficiency, we randomly selected a sample of 625 controls with blood DNA to approximate a 1:2 case:control ratio. Thus, final analyses included a total of 264 cases and 625 controls. All study participants were of Polish Caucasian origin. The study protocol was reviewed and approved by local and NCI Institutional Review Boards (IRBs). All participants provided written informed consent.
Single nucleotide polymorphism (SNP) selection was based on a re-sequence analysis of TP53 and its neighboring genes, which include SHBG and ATP1B2, performed in 94 healthy Norwegian women and 102 individuals in the SNP500 Cancer panel . SNPs in SHBG and ATP1B2 with a minor allele frequency >0.05 were identified during a re-sequence analysis of all exons, evolutionarily conserved regions and promoter regions and were genotyped in the Polish Ovarian Cancer Study. Genotype analyses were performed at the Core Genotyping Facility (CGF) of the Division of Cancer Epidemiology and Genetics, NCI for 5 SNPs in SHBG (rs1799941, -67G>A 5'UTR; rs6257, IVS1-17T>C; rs6259, Ex8+6G>A (D356N); rs727428, 1121 bp 3' of STP T>C; and rs1641544 31959 bp 3' of STP T>C); and 5 SNPs in ATP1B2 (rs1641536, -8852T>C; rs1641535 -8703T>C; rs1624085 x2G>C; rs1641512, Ex7+414G>A).
Description and methods for each genotype assay can be found at [9, 10]. Duplicated DNA pairs from 70 subjects in the study showed 100% concordance for all assays. Completion was ≥ 98% for all assays. We observed no significant departures from Hardy-Weinberg equilibrium in the control population.
As an estimate of relative risk, odds ratios (OR) and their 95% confidence intervals (CI) were derived from unconditional logistic regression models that included dummy variables for the matching factors, i.e. age in 5 year categories and study site (Lodz or Warsaw). The association between genotypes and ovarian cancer risk was tested using a trend test, except for rare alleles in which heterozygous and homozygous variants were combined. We evaluated heterogeneity in the ORs observed for the genotype analysis on the basis of age, number of lifetime ovulatory cycles and family history of ovarian and/or breast cancer in first degree relatives, by introducing interaction terms in logistic regression models. Number of lifetime ovulatory cycles was used as a measure of a women's potential ovulatory life, and was calculated as previously described .
Pairwise linkage disequilibrium (LD) was estimated between SNPs based on D'and r2 values using Haploview . Block structure was determined using genotype data from the control population, and the solid spline of LD option (D' threshold > 0.80). Haplotype frequencies within each block, ORs and their 95%CIs were estimated using HaploStats (version 1.2.1) [13, 14]. A global score statistic, adjusted for the matching factors age (in 5 year categories) and study site (Lodz or Warsaw), was used to evaluate the overall difference in haplotype frequencies between cases and controls.
Personal and tumor characteristics of 264 ovarian cancer cases and 625 controls in the Polish Ovarian Cancer Study.
Cases* N = 264
Controls* N = 625
Study site, N %
Age, mean SD in years
No. of full-term births, N %
Number of ovulatory cycles, mean SD
Use of oral contraceptive, N %
Currently having menstrual periods, N %
Use of oral hormone replacement therapy among post-menopausal women
Family history of breast or ovarian cancer in first-degree relatives, N %
Breast cancer only
Ovarian cancer only
Histology, N (%)
Others or unclassified
Stage, N % distant
Not staged or missing
Grade of differentiation, N %
Risk of epithelial ovarian cancer and polymorphisms in SHBG and its 3' neighbor ATP1B2, among 264 ovarian cancer cases and 625 controls in the Polish Ovarian Cancer Study*
0.59 – 1.07
0.46 – 1.33
0.65 – 1.44
0.29 – 15.3
0.57 – 1.40
0.06 – 4.65
1121 bp 3' of STP T>C
0.71 – 1.30
0.81 – 1.91
31959 bp 3' of STP T>C
0.77 – 2.33
0.86 – 1.71
0.23 – 3.46
0.64 – 1.18
0.82 – 1.90
0.63 – 1.17
0.46 – 1.90
Risk of epithelial ovarian cancer and SHBG-ATP1B2 extended haploptypes, among 264 ovarian cancer cases and 625 controls in the Polish Ovarian Cancer Study
0.58 – 1.01
0.14 – 1.33
0.60 – 1.33
0.56 – 1.23
0.70 – 2.12
0.50 – 1.30
0.53 – 1.25
0.17 – 1.58
Global p = 0.42
This detailed evaluation of common genetic variation in SHBG including its neighboring gene ATP1B2, does not support a substantial association between common variants and ovarian cancer risk. However, the possibility of weak to modest associations could not be excluded.
The asparagine (N) allele of SHBG D356N and the variant allele of the -67G>A 5'UTR SNP in SHBG have been associated with elevated SHBG circulating levels [5–7]. Therefore, these SNP could result in a reduced bioavailability of estrogen or other sex-steroids, and a reduction in risk of hormonally-related cancers. Although the frequency of the genotypes with the variant alleles for these two SNPs was lower for cases than controls, differences were not statistically significant. A pentanucleotide (TAAAA)n repeat polymorphism, not measured in our study, has been found to be linked to the D356N SNP in Caucasian populations, as well as associated with elevated levels of SHBG . Therefore, it is possible that functional changes not directly measured in our study might be related to risk. Given the lack of data from previous studies of ovarian cancer on the common variation in SHBG, further studies are needed to clarify potential relationships.
The main limitation of this study was limited power to detect weak to modest associations. Specifically, the study size provided 80% power to detect ORs of 1.5 or 0.7 for MAFs ranging from 0.10 to 0.50, assuming an additive mode of inheritance; and MAFs ranging from 0.20 to 0.35, assuming a dominant inheritance. However, the power to detect associations for MAF outside these ranges, recessive associations, or gene-gene/gene-environment interactions was low. Therefore, such associations could have missed in our study.
This population-based study has among the highest participation rate attained in population-based studies with collection of biological specimens. However, collection of DNA samples inevitably reduces overall participation rates and could introduce selection bias. This bias is unlikely to be of relevance in this report because the evaluated SNPs are unlikely to be related to potential selection factors. Further, the observed allele frequency for the SHBG D356N was similar to previously published studies among Caucasians , and the distribution of ovarian cancer risk factors in cases and controls was consistent with known or suspected risk factors for ovarian cancer .
This report of a detailed assessment of genetic variation in SHBG including its neighboring gene ATP1B2, does not support a substantial association between common variation in this region and ovarian cancer risk. However, weak or modest associations could not be excluded, particularly a reduced risk of ovarian cancer hypothesized for the functional SNPs D356N and -67G>A 5'UTR. Therefore, further evaluation in larger study populations is warranted.
- ATP1B2 :
– ATPase, Na+/K+ transporting beta 2 polypeptide
- CI :
– confidence interval
- LD :
– linkage disequilibrium
- LRT :
– likelihood ratio test
- MAF :
– minor allele frequency
- OR :
– odds ratio
- SHBG :
– sex hormone-binding globulin
- SNP :
– single nucleotide polymorphisms
- TP53 :
– tumor protein p53 (Li-Fraumeni syndrome)
This research was supported by the Intramural Research Program of the NIH, National Cancer Institute, Division of Cancer Epidemiology and Genetics and the Center for Cancer Research. We thank Anita Soni (Westat, Rockville, MD) for her work on study management for the Polish ovarian cancer study; Pei Chao (IMS, Silver Spring, MD) for her work on data and sample management; and physicians, nurses, interviewers and study participants for their efforts during filed-work.
- Risch HA: Hormonal etiology of epithelial ovarian cancer, with a hypothesis concerning the role of androgens and progesterone. J Natl Cancer Inst. 1998, 90: 1774-1786. 10.1093/jnci/90.23.1774.View ArticlePubMedGoogle Scholar
- Lukanova A, Lundin E, Akhmedkhanov A, Micheli A, Rinaldi S, Zeleniuch-Jacquotte A, Lenner P, Muti P, Biessy C, Krogh V, Berrino F, Hallmans G, Riboli E, Kaaks R, Toniolo P: Circulating levels of sex steroid hormones and risk of ovarian cancer. Int J Cancer. 2003, 104: 636-642. 10.1002/ijc.10990.View ArticlePubMedGoogle Scholar
- Helzlsouer KJ, Alberg AJ, Gordon GB, Longcope C, Bush TL, Hoffman SC, Comstock GW: Serum gonadotropins and steroid hormones and the development of ovarian cancer. JAMA. 1995, 274: 1926-1930. 10.1001/jama.274.24.1926.View ArticlePubMedGoogle Scholar
- Selby C: Sex hormone binding globulin: origin, function and clinical significance. Ann Clin Biochem. 1990, 27 ( Pt 6): 532-541.View ArticleGoogle Scholar
- Cousin P, Calemard-Michel L, Lejeune H, Raverot G, Yessaad N, Emptoz-Bonneton A, Morel Y, Pugeat M: Influence of SHBG gene pentanucleotide TAAAA repeat and D327N polymorphism on serum sex hormone-binding globulin concentration in hirsute women. J Clin Endocrinol Metab. 2004, 89: 917-924. 10.1210/jc.2002-021553.View ArticlePubMedGoogle Scholar
- Dunning AM, Dowsett M, Healey CS, Tee L, Luben RN, Folkerd E, Novik KL, Kelemen L, Ogata S, Pharoah PD, Easton DF, Day NE, Ponder BA: Polymorphisms associated with circulating sex hormone levels in postmenopausal women. J Natl Cancer Inst. 2004, 96: 936-945.View ArticlePubMedGoogle Scholar
- Haiman CA, Riley SE, Freedman ML, Setiawan VW, Conti DV, Le Marchand L: Common genetic variation in the sex steroid hormone-binding globulin (SHBG) gene and circulating shbg levels among postmenopausal women: the Multiethnic Cohort. J Clin Endocrinol Metab. 2005, 90: 2198-2204. 10.1210/jc.2004-1417.View ArticlePubMedGoogle Scholar
- Langerød A, Burdette L, YM LV, Presswalla S, Gerhadt D, Tarazona-Santos , Garcia- Rossi D, Lønning PE, Kristensen VN, Chanock S: Pattern of genetic variation in the TP53 locus indicates linkage disequilibrium extends across the flanking genes, ATP1B2 and WDR79. 2007Google Scholar
- Packer BR, Yeager M, Burdett L, Welch R, Beerman M, Qi L, Sicotte H, Staats B, Acharya M, Crenshaw A, et al: SNP500Cancer: A Public Resource for Sequence Validation, Assay Development, and Frequency Analysis for Genetic Variation in Candidate Genes. Nucl Acids Res. 2006, 34 (Database Issue): D617-D621. 10.1093/nar/gkj151.View ArticleGoogle Scholar
- 2007, [http://snp500cancer.nci.nih.gov]
- Webb PM, Green A, Cummings MC, Purdie DM, Walsh MD, Chenevix-Trench G: Relationship between number of ovulatory cycles and accumulation of mutant p53 in epithelial ovarian cancer. J Natl Cancer Inst. 1998, 90: 1729-1734. 10.1093/jnci/90.22.1729.View ArticlePubMedGoogle Scholar
- 2007, [http://www.broad.mit.edu/mpg/haploview/index.php]
- Schaid DJ: Evaluating associations of haplotypes with traits. Genet Epidemiol. 2004, 27: 348-364. 10.1002/gepi.20037.View ArticlePubMedGoogle Scholar
- 2007, [http://mayoresearch.mayo.edu/mayo/research/biostat/schaid.cfm]
- Weiss NS, Cook LS, Farrow DC, Rosenblatt KA: Ovarian Cancer. Cancer Epidemiology and Prevention. Edited by: Schottenfeld D, Fraumeni JF. 1996, New York, Oxford University Press, 1040-1057.Google Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/7/60/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.