We examined the association between HNF1B variants identified in a recent genome-wide association study and endometrial cancer in two large case-control studies nested in prospective cohorts: the Multiethnic Cohort Study (MEC) and the Women's Health Initiative (WHI) as part of the Population Architecture using Genomics and Epidemiology (PAGE) study. A total of 1,357 incident cases of invasive endometrial cancer and 7,609 controls were included in the analysis (MEC: 426 cases/3,854 controls; WHI: 931cases/3,755 controls). The majority of women in the WHI were European American, while the MEC included sizable numbers of African Americans, Japanese and Latinos. We estimated the odds ratios (ORs) per allele and 95% confidence intervals (CIs) of each SNP using unconditional logistic regression adjusting for age, body mass index, and four principal components of ancestry informative markers. The combined ORs were estimated using fixed effect models. Rs4430796 and rs7501939 were associated with endometrial cancer risk in MEC and WHI with no heterogeneity observed across racial/ethnic groups (P≥0.21) or between studies (P≥0.70). The ORper allele was 0.82 (95% CI: 0.75, 0.89; P = 5.63×10−6) for rs4430796 (G allele) and 0.79 (95% CI: 0.73, 0.87; P = 3.77×10−7) for rs7501939 (A allele). The associations with the risk of Type I and Type II tumors were similar (P≥0.19). Adjustment for additional endometrial cancer risk factors such as parity, oral contraceptive use, menopausal hormone use, and smoking status had little effect on the results. In conclusion, HNF1B SNPs are associated with risk of endometrial cancer and that the associated relative risks are similar for Type I and Type II tumors.
Citation: Setiawan VW, Haessler J, Schumacher F, Cote ML, Deelman E, Fesinmeyer MD, et al. (2012) HNF1B and Endometrial Cancer Risk: Results from the PAGE study. PLoS ONE 7(1): e30390. doi:10.1371/journal.pone.0030390
Editor: Paolo Peterlongo, Fondazione Istituto FIRC di Oncologia Molecolare (IFOM), Italy
Received: November 2, 2011; Accepted: December 20, 2011; Published: January 27, 2012
Copyright: © 2012 Setiawan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Dr. Setiawan is supported in part by the National Cancer Institute (NCI) Career Development Award K07 CA116543. The Population Architecture Using Genomics and Epidemiology (PAGE) program is funded by the National Human Genome Research Institute (NHGRI), supported by U01HG004803 (CALiCo), U01HG004798 (EAGLE), U01HG004802 (MEC), U01HG004790 (WHI), and U01HG004801 (Coordinating Center). The contents of this paper are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health (NIH). The complete list of PAGE members can be found at http://www.pagestudy.org. The data and materials included in this report result from a collaboration between the following studies: The Multiethnic Cohort study (MEC) characterization of epidemiological architecture is funded through the NHGRI PAGE program (U01HG004802). The MEC study is funded through the National Cancer Institute (R37CA54281, R01CA63464, P01CA33619, U01CA136792, U01CA98758, and R03CA128008). The authors thank the cohort members for their participation and Dr. Monroe for her invaluable contributions to the execution of the Multiethnic Cohort study. Funding support for the “Epidemiology of Putative Genetic Variants: The Women's Health Initiative” study is provided through the NHGRI PAGE program (U01HG004790). The WHI program is funded by the National Heart, Lung, and Blood Institute; NIH; and U.S. Department of Health and Human Services through contracts N01WH22110, 24152, 32100-2, 32105-6, 32108-9, 32111-13, 32115, 32118-32119, 32122, 42107-26, 42129-32, and 44221. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Endometrial cancer is the most common gynecological cancer in developed countries. A recent genome-wide association study (GWAS) identified common single nucleotide polymorphisms (SNPs) in HNF1B associated with endometrial cancer risk in women of European background . The same SNPs, rs4430796 and rs7501939, are also associated with prostate cancer  and type 2 diabetes , . We examined the association between these SNPs and risk of endometrial cancer in two large prospective cohort studies with comprehensive risk factor data: the Multiethnic Cohort Study (MEC) and the Women's Health Initiative (WHI), as part of the Population Architecture using Genomics and Epidemiology (PAGE) study . We also examined the associations between HNF1B and endometrial cancer across racial/ethnic groups and tumor histological types, and effect modification by known endometrial cancer risk factors.
Materials and Methods
PAGE is an ancillary study to both WHI and MEC, and has been approved by the WHI and MEC steering committees. The PIs for the PAGE studies within WHI and MEC have further authority for analyses within the scope of the original applications.
PAGE study is a National Human Genome Research Institute (NHGRI)-supported collaboration with a primary focus of deep characterization of well-replicated genetic risk variants identified in GWAS and their relationships to various phenotypes and traits (e.g., lipids, diabetes, heart disease, cancers) in diverse epidemiologic studies. Included in the characterization process is 1) replication of the original association in a population of similar genetic ancestry as the original GWAS, 2) generalization of the association to diverse populations such as African Americans, Asians, Hispanic/Mexican Americans, and other groups, 3) identification of gene-environment interactions, and 4) identification of pleiotropy. The details of PAGE design and methods have been presented by Matise et al . The PAGE study samples were drawn from four large population-based studies or consortia ; however, the current analysis only included women from the MEC and the WHI. The MEC is a prospective cohort study consisting of 215,251 adult men and women living in Hawaii and California predominantly from five populations: European American, African American, Native Hawaiian, Japanese, and Latino (Hispanic/Mexican Americans) . A subset of cohort participants (∼70,000) has available DNA samples. Incident cases of endometrial cancer were identified through cohort linkage to the population-based cancer Surveillance, Epidemiology, and End Results (SEER) registries in California and Hawaii. Controls were selected from female cohort participants without a self-reported hysterectomy at baseline and who were free of cancer as at December 31, 2008. Controls were individually matched to cases based on age at cohort entry, race/ethnicity, and study area (Hawaii or California). The MEC endometrial cancer case-control study included 426 invasive endometrial cancer cases and 3,854 controls. The WHI is comprised of an observational study and four clinical trials covering the components of dietary modification, hormone therapy, separately for women with and without a uterus, and supplementation of calcium/vitamin D . The study consists of 161,808 postmenopausal women from various racial/ethnic groups. Incident cases of endometrial cancer in the cohort were identified through self-report, which was ascertained at least annually and confirmed by clinicians after reviewing the pathology reports . Controls were selected from cohort participants without a self-reported hysterectomy at baseline and who were free of cancer through September 1, 2009. Controls were individually matched to cases based on age at baseline, date of enrollment, race/ethnicity, and trial arms. The WHI endometrial cancer case-control study included 931 invasive endometrial cancer cases and 3,755 controls.
We used the International Classification of Diseases for Oncology (ICD-O-3) code to classify endometrial cancer cases as Type I or Type II –. Unopposed estrogens are suspected to affect Type I but not Type II tumors . Type I included endometrioid (ICD-O-3 code: 8380, 8381, 8382, 8383), adenocarcinoma tubular (8210, 8211), papillary adenocarcinoma (8260, 8262, 8263), adenocarcinoma with squamous metaplasia (8570), mucinous adenocarcinoma (8480, 8481), and adenocarcinoma NOS (8140). Type II included clear cell (8310), serous (8441), papillary serous (8460, 8461), squamous cell (8050, 8070, 8071, 8072), adenosquamous (8560), small cell carcinoma (8041), and mixed cell adenocarcinoma (8323). Cases with a sarcoma diagnosis were not included in the analysis.
SNP selection and genotyping
The two HNF1B SNPs (rs4430796 and rs7501939) were part of 167 (MEC) and 183 (WHI) well-replicated genetic risk variants identified from GWAS genotyped in the PAGE study to explore pleiotropic effects on several cancer sites. Genotyping was performed using the TaqMan Open Array Genotyping System (Life Technologies/Applied Biosystems) as part of the PAGE initiative. The average genotype completion rate was 98.0% in the MEC and 99.9% in the WHI. The concordance of blinded duplicates was 99.7% in the MEC and 99.5% in the WHI. Hardy-Weinberg Equilibrium (HWE) for each allele was assessed in each racial/ethnic group in controls; no deviation from HWE was observed (at the P<0.01 level) across more than one racial/ethnic group, suggesting that such deviations are likely due to chance and not to genotyping error.
Known risk factors for endometrial cancer (i.e. parity, oral contraceptive use, menopausal hormone use, smoking status, and diabetes status were obtained from the baseline questionnaire data. Per allele odds ratios (ORs) and 95% confidence intervals (CIs) for the SNP-endometrial cancer association were calculated using unconditional logistic regression. Models were adjusted for age (continuous), body mass index (BMI) (<25, 25-<30, ≥30 kg/m2), and the top four ancestry principal components. Principal components derived from >100 ancestry informative markers were estimated using the EIGENSTRAT method . Parity, oral contraceptive use, menopausal hormone use, smoking status, and diabetes status were considered as potential confounders. Test of interaction with race/ethnicity and potential effect modification by endometrial cancer risk factors was assessed using log-likelihood test statistics comparing models with and without the interaction term (cross product between the SNP and race/ethnicity or risk factor of interest). The combined ORs and 95% CIs were estimated from each study's OR using a fixed effects model and between-study heterogeneity was examined using the Q test statistics. We used polytomous logistic regression to calculate ORs and 95% CIs for Type I and Type II endometrial cancer. All racial/ethnic groups were included in this subgroup analysis. All P values are two-sided.
The characteristics of cases and controls in the MEC and the WHI are shown in Table 1. The mean ages of cases and controls were similar in each study. The majority of women in the WHI were European American (93.2% of cases and 80.3% of controls); there were very few Asian/Pacific Islander (n = 8) and Latino (n = 20) cases. The MEC included sizable proportions of women from other racial/ethnic groups: 20.5% African American, 30.3% Japanese, and 18.7% Latino. Compared to controls, cases were heavier, more likely to have fewer births, and to be diabetic. Cases were less likely to have used OCs or to have ever smoked.
We found that rs4430796 and rs7501939 were associated with risk of endometrial cancer in European Americans in the MEC and the WHI (Table 2). The combined ORper allele was 0.83 (95% CI: 0.75, 0.92; P = 4.00×10−4) for rs4430796 (G allele) and 0.79 (95% CI: 0.71, 0.88; P = 1.30×10−5) for rs7501939 (A allele). No heterogeneity between studies was observed (P≥0.59). The rs4430796 and rs7501939 were in strong linkage disequilibrium (LD) in our European-American controls (r2 = 0.61 in the MEC; r2 = 0.66 in the WHI).
In the MEC, consistent associations were observed in African Americans, Hawaiians, Japanese and Latinos, i.e. reduced risk associated with the G allele of rs4430796 or with the A allele of rs7501939 (Table 2). There were limited numbers of non-European descent women in the WHI, especially the Asian/Pacific Islander group (8 cases and 161 controls). In African Americans and Latinos, we observed consistent associations with those observed among European Americans. No evidence was observed of heterogeneity in the ORs by race/ethnicity (P≥0.21). Combining the MEC and the WHI results, the ORper allele ranged between 0.74 and 0.80 for rs4430796 and between 0.73 and 0.80 for rs7501939 in African Americans, Asians/Pacific Islanders, and Latinos. The two SNPs were in high LD in Asians (r2 = 0.80) and Latinos (r2 = 0.65) and in lower LD in African Americans (r2 = 0.33).
In the analysis of all race/ethnicity groups combined, the ORper allele for rs4430796 was 0.80 (95% CI: 0.69, 0.93; P = 0.0048) and 0.83 (95% CI: 0.75, 0.92; P = 0.00059) in the MEC and the WHI, respectively (Table 2). The all groups' ORper allele for rs7501939 was 0.80 (95% CI: 0.68, 0.94; P = 0.0068) and 0.79 (95% CI: 0.71, 0.88; P = 1.87×10−5) in the MEC and the WHI, respectively. When we combined the results from the MEC and the WHI, the ORper allele was 0.82 (95% CI: 0.75, 0.89; P = 5.63×10−6) for rs4430796 and 0.79 (95% CI: 0.73, 0.87; P = 3.77×10−7) for rs7501939. No heterogeneity between studies was observed (P≥0.70). Further adjustment for parity, oral contraceptive use, menopausal hormone use, smoking status, diabetes status and clinical trial participation (dietary modification, hormone therapy, or observational study) for the WHI had little effect on the results.
The associations of HNF1B SNPs with Type I and Type II tumors are shown in Table 3. In both studies, rs4430796 and rs7501939 were significantly associated with Type I tumors. Both SNPs were also associated with reduced risk of Type II tumors, but the association was only significant for rs4430796 in the MEC. No evidence of heterogeneity between studies was observed (P≥0.18). The combined ORper allele for rs4430796 was 0.83 (95% CI: 0.76, 0.90; P = 2.79×10−5) for Type I tumors and 0.78 (95% CI: 0.61, 0.99; P = 0.041) for Type II tumors. The combined ORper allele for rs7501939 was 0.80 (95% CI: 0.73, 0.87; P = 1.00×10−6) for Type I tumors and 0.75 (95% CI: 0.58, 0.95; P = 0.020) for Type II tumors. Neither study found significant differences between the associations of HNF1B SNPs with Type I and Type II tumors (P≥0.19 in the MEC; P≥0.80 in the WHI).
To determine whether the associations of HNF1B variants and endometrial cancer were influenced by diabetes, we examined the OR for the SNP-endometrial cancer relationship among diabetics and non-diabetics separately (Table 4). Significant associations were observed only among non-diabetics in both studies. In the WHI, the test for interaction was statistically significant for rs4430796 (P = 0.028) and borderline significant for rs7501939 (P = 0.054). No significant interaction was observed in the MEC.
We also examined effect modification of the association between HNF1B SNPs and endometrial cancer by BMI, parity, OC use, menopausal hormone use and smoking status (Table S1 and S2) and found no significant interaction.
We show that the HNF1B SNPs (rs4430796 and rs7501939) identified in a recent endometrial cancer GWAS  are associated with endometrial cancer risk in two independent studies and that the associations were observed across multiple racial/ethnic groups. We also show that similar associations are seen for both Type I and Type II tumors and across all categories of BMI, parity, OC use, menopausal hormone use and smoking status.
The risk estimates observed among European Americans this study (ORrs4430796 = 0.83; ORrs7501939 = 0.79) were similar to those reported by the initial GWAS (ORrs4430796 = 0.84; ORrs7501939 = 0.85) ; the most significant SNP in the GWAS (rs4430796) however was not the most strongly associated SNP in this study, which underlies the fact that neither SNP is the causal SNP.
HNF1B (formerly known as TCF2) is a transcription factor that encodes three isoforms: isoforms A and B which act as transcriptional activators and isoform C which acts as a transcriptional repressor . Rare mutations in HNF1B have been associated with maturity-onset diabetes of the young subtype 5 (MODY5), renal cysts, pancreatic atrophy, and uterine abnormalities caused by incomplete Mullerian duct fusion and Mullerian duct aplasia , . Differential expression of HNF1B has been associated with prostate cancer recurrence  and differential expression of HNF1B isoforms has been found in normal prostate and prostate cancer tissues . The functional significance of the two HNF1B SNPs examined here is unknown, although a lymphocyte-derived gene expression analysis showed a significant association between rs4430796 and HNF1B expression in individuals of European ancestry but not in individuals of African ancestry .
The G allele of rs4430796 which is associated with decreased risk of endometrial cancer, has been associated with a decreased risk of prostate cancer but not with other cancers such as breast, lung, colorectal or pancreatic cancers or melanoma . The same SNP allele has also been associated with an increased risk of type 2 diabetes , . Diabetes is inversely associated with prostate cancer , but positively associated with endometrial cancer . Therefore we may expect that SNPs would often have an effect in the same direction on both outcomes. The opposite effect of rs4430796 on diabetes and endometrial cancer, however, does not mirror the positive association between diabetes and endometrial cancer risk. We observed significant associations between HNF1B variants and endometrial cancer only among non-diabetics in both studies. The lack of statistical significance among diabetics is likely due to the small number of diabetics and thus limited power (<40%) in detecting modest effects associated with these SNPs. We also observed a potential interaction between HNF1B SNPs and diabetes status in the WHI, but not in the MEC. It is possible that this discrepancy was due to the fact that the magnitude of the association between diabetes and endometrial cancer differed between WHI (OR = 1.34; 95% CI: 0.93, 1.91) and MEC (OR = 0.93; 95% CI: 0.64, 1.36). In our analysis, adjusting for diabetes status had little effect on the SNP-endometrial cancer relationships. Whether diabetes status influences the association between HNF1B and endometrial cancer therefore remains unclear; examination of potential interaction between diabetes status and HNF1B in other endometrial cancer studies is warranted.
The strengths of our study include a relatively large sample size and the availability of comprehensive risk factor data for confounder adjustment, as well as an ancestrally diverse population. Limitations include non-centralized pathology review in determining the endometrial cancer histology which can result in misclassification of Type I and Type II tumors and can dilute the difference in ORs, if any, between these two groups.
In summary, we provide additional evidence that HNF1B is involved in endometrial cancer etiology. Future projects that include fine-mapping/sequencing the HNF1B region and functional studies are warranted to pinpoint the causal variants and the biological mechanisms involved in endometrial carcinogenesis.
Gene-environment interactions between HNF1B and endometrial cancer risk factors in the Women's Health Initiative Study (WHI).
Gene-environment interactions between HNF1B and endometrial cancer risk factors in the Multiethnic Cohort Study (MEC).
The data and materials included in this report result from a collaboration between the PAGE consortium, the Multiethnic Cohort study (MEC) and the Women's Health Initiative (WHI).
The authors thank the MEC cohort members for their participation and Dr. Kristine Monroe for her invaluable contributions to the execution of the Multiethnic Cohort study. The authors thank the WHI investigators and staff for their dedication, and the study participants for making the program possible. A full listing of WHI investigators can be found at: http://www.whiscience.org/publications/WHI_investigators_shortlist.pdf.
Conceived and designed the experiments: VWS FS CAH UP LLM CK. Performed the experiments: VWS JH FS CK. Analyzed the data: VWS JH FS CK. Wrote the paper: VWS JH FS MLC ED MDF BEH RDJ JSV LRW SY CAH UP LLM CK.
- 1. Spurdle AB, Thompson DJ, Ahmed S, Ferguson K, Healey CS, et al. (2011) Genome-wide association study identifies a common variant associated with risk of endometrial cancer. Nat Genet 43: 451–454.
- 2. Elliott KS, Zeggini E, McCarthy MI, Gudmundsson J, Sulem P, et al. (2010) Evaluation of association of HNF1B variants with diverse cancers: collaborative analysis of data from 19 genome-wide association studies. PLoS One 5: e10858.
- 3. Gudmundsson J, Sulem P, Steinthorsdottir V, Bergthorsson JT, Thorleifsson G, et al. (2007) Two variants on chromosome 17 confer prostate cancer risk, and the one in TCF2 protects against type 2 diabetes. Nat Genet 39: 977–983.
- 4. Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, et al. (2010) Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet 42: 579–589.
- 5. Matise TC, Ambite JL, Buyske S, Carlson CS, Cole SA, et al. (2011) The Next PAGE in understanding complex traits: design for the analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study. Am J Epidemiol 174: 849–859.
- 6. Kolonel LN, Henderson BE, Hankin JH, Nomura AM, Wilkens LR, et al. (2000) A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol 151: 346–357.
- 7. (1998) Design of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group. Control Clin Trials 19: 61–109.
- 8. Curb JD, McTiernan A, Heckbert SR, Kooperberg C, Stanford J, et al. (2003) Outcomes ascertainment and adjudication methods in the Women's Health Initiative. Ann Epidemiol 13: S122–128.
- 9. Felix AS, Weissfeld JL, Stone RA, Bowser R, Chivukula M, et al. (2010) Factors associated with Type I and Type II endometrial cancer. Cancer Causes Control 21: 1851–1856.
- 10. Prat J (2004) Prognostic parameters of endometrial carcinoma. Hum Pathol 35: 649–662.
- 11. Ronnett BM, Zaino R, Ellenson LH, Kurman RJ (2002) Endometrial Cancer. In: Kurman RJ, editor. Blaustein's Pathology of the Female Genital Tract. Fifth ed. New York: Springer. pp. 501–559.
- 12. Sherman ME (2000) Theories of endometrial carcinogenesis: a multidisciplinary approach. Mod Pathol 13: 295–308.
- 13. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, et al. (2006) Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 38: 904–909.
- 14. Bach I, Yaniv M (1993) More potent transcriptional activators or a transdominant inhibitor of the HNF1 homeoprotein family are generated by alternative RNA processing. EMBO J 12: 4229–4242.
- 15. Edghill EL, Bingham C, Ellard S, Hattersley AT (2006) Mutations in hepatocyte nuclear factor-1beta and their related phenotypes. J Med Genet 43: 84–90.
- 16. Horikawa Y, Iwasaki N, Hara M, Furuta H, Hinokio Y, et al. (1997) Mutation in hepatocyte nuclear factor-1 beta gene (TCF2) associated with MODY. Nat Genet 17: 384–385.
- 17. Glinsky GV, Glinskii AB, Stephenson AJ, Hoffman RM, Gerald WL (2004) Gene expression profiling predicts clinical outcome of prostate cancer. J Clin Invest 113: 913–923.
- 18. Harries LW, Perry JR, McCullagh P, Crundwell M (2010) Alterations in LMTK2, MSMB and HNF1B gene expression are associated with the development of prostate cancer. BMC Cancer 10: 315.
- 19. Waters KM, Henderson BE, Stram DO, Wan P, Kolonel LN, et al. (2009) Association of diabetes with prostate cancer risk in the multiethnic cohort. Am J Epidemiol 169: 937–945.
- 20. Cook LS, Weiss NS, Doherty JA, Chen C (2006) Endometrial Cancer. In: Schottenfeld D, Fraumeni JF Jr, editors. Cancer Epidemiology and Prevention. Third ed. New York: Oxford University Press. pp. 1027–1043.