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Genetic variation in the genome-wide predicted estrogen response element-related sequences is associated with breast cancer development. PDF

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by  YuJyh-Cherng
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Preview Genetic variation in the genome-wide predicted estrogen response element-related sequences is associated with breast cancer development.

Yuetal.BreastCancerResearch2011,13:R13 http://breast-cancer-research.com/content/13/1/R13 RESEARCH ARTICLE Open Access Genetic variation in the genome-wide predicted estrogen response element-related sequences is associated with breast cancer development Jyh-Cherng Yu1, Chia-Ni Hsiung2, Huan-Ming Hsu1, Bo-Ying Bao3, Shou-Tung Chen4, Giu-Cheng Hsu5, Wen-Cheng Chou2, Ling-Yueh Hu2, Shian-Ling Ding6, Chun-Wen Cheng7, Pei-Ei Wu2, Chen-Yang Shen2,8* Abstract Introduction: Estrogen forms a complex with the estrogen receptor (ER) that binds to estrogen response elements (EREs) in the promoter region of estrogen-responsive genes, regulates their transcription, and consequently mediates physiological or tumorigenic effects. Thus, sequence variants in EREs have the potential to affect the estrogen-ER-ERE interaction. In this study, we examined the hypothesis that genetic variations of EREs are associated with breast cancer development. Methods: This case-control study involved 815 patients of Asian descent with incident breast cancer and 821 healthy female controls. A total of 13,737 ERE sites in the whole genome predicted by a genome-wide computational algorithm were blasted with single-nucleotide polymorphism (SNP) sequences. Twenty-one SNPs located within 2,000 bp upstream or within introns 1 and 2 of putative genes and with a minor allele frequency greater than 5% were identified and genotyped. Frequencies of SNPs were compared between cases and controls to identify SNPs associated with cancer susceptibility. Results: A significant combined effect of rs12539530, an ERE SNP in intron 2 of NRCAM which codes for a cell adhesion molecule, and SNPs of ESR1, the gene coding for ER, on breast cancer risk was found. Interestingly, this combined effect was more significant in women who had experienced a longer period of lifetime estrogen exposure, supporting a hormonal etiology of this SNP in breast tumorigenesis. Conclusions: Our findings provide support for a role of genetic variation in ERE-ESR1 in determining susceptibility of breast cancer development. Introduction repressing their transcription and consequently mediat- The roles of estrogen receptor a (ERa) in initiating ing physiological or tumorigenic effects. Given that tumordevelopmentinbreastcancer,regulatingprogres- sequencevariants,suchassingle-nucleotidepolymorph- sion and determining therapeutic protocols and efficacy isms (SNPs), located inthe promoters ofgenes have the are well documented [1-3]. Although ERa can be acti- potentialtoaffecttheprotein(transcriptionfactor)-DNA vated in an estrogen-independent manner, the classical (promoter)interaction, resultinginalteredexpressionof activation mechanism involves ERa binding to estrogen target genes [6,7], we decided that it was meaningful to and other coactivator proteins to form the estrogen- examine the hypothesis that genetic variations of EREs bound ER complex, which functionsasa transcriptional mightbeassociatedwithbreastcancerdevelopment. regulator [4,5]. The DNA-binding domainof ERa binds Early work on the Xenopus vitellogenin gene identified to estrogen response elements (EREs) in the promoter a minimal ERE core sequence of 5’-GGTCANNNT- region of estrogen-responsive genes, activating or GACC-3’ [8]. Since then, several computational approaches have been used to map EREs on a genome- *Correspondence:[email protected] wide level on the basis of the presence of EREs within 8GraduateInstituteofEnvironmentalSciences,ChinaMedicalUniversity, promoter proximal regions [9,10]. By specifically Hsueh-ShihRoad,Taichung,404,Taiwan Fulllistofauthorinformationisavailableattheendofthearticle ©2011Yuetal.;licenseeBioMedCentralLtdThisisanopenaccessarticledistributedunderthetermsoftheCreativeCommons AttributionLicensehttp://creativecommons.org/licenses/by/2.0,whichpermitsunrestricteduse,distribution,andreproductioninany medium,providedtheoriginalworkisproperlycited Yuetal.BreastCancerResearch2011,13:R13 Page2of8 http://breast-cancer-research.com/content/13/1/R13 focusing on promoter regions, 12,515 EREs have been Specimen collection and SNP selection and genotyping identified in the human genome [10-12]. To distinguish At the end of the interview, blood was taken for DNA between real binding sites and noise, several attempts isolation and genotyping. All samples were examined by have been made to improve the specificity of prediction. laboratory personnel who were blinded to the case/con- For instance, by eliminating EREs that are not conserved trol status of specimens. DNA was extracted from the between the human and mouse genomes, the number of peripheral blood samples of patients and controls using gene proximal EREs has been reduced to 660 [10,11]. In DNA purification kits (Promega, Madison, WI, USA). this study, we used PReMod [13], a new database of The PReMod database is a genome-wide/transcription genome-wide cis-regulatory modules, to predict all pos- factor-wide collection of more than 100,000 computa- sible EREs in the genome. The prediction algorithm of tional predicted transcriptional regulatory modules PReMod takes into account the fact that, in higher within the human genome [13,14]. These modules are eukaryotes, cis-regulatory regions often contain several specific sequences potentially regulated by 229 tran- phylogenetically conserved binding sites for different scription factor families, and the PReMod algorithm pre- transcription factors [13,14], and thus it has proven to dicts that a total of 13,737 sites within the human be more reliable than other methods. Using the SNPs of genome are bound and/or regulated by the ER [13,14]. the human genome available in databases, we searched We compared these sites with conventional SNP data- for SNPs within these genome-wide predicted EREs and bases [22-24] and identified ER-binding sites potentially explored their association with breast cancer. harboring SNPs. The following three criteria were then used to determine the SNPs to be genotyped: (1) Materials and methods because of statistical considerations (that is, considera- Study participants tion of study power), the minor allele frequency of the This case-control study is part of an ongoing coopera- selected SNPs had to be higher than 0.05; (2) because of tive study aimed at understanding the causes of breast biological considerations, the selected SNPs had to be cancer in Taiwan. Breast cancer in Taiwan is charac- located within 2,000 bp upstream or located within terized by low incidence, early tumor onset, hormone introns 1 and 2 of putative genes; and (3) because of dependency and novel genomic alterations [15-17]. We technical considerations, SNPs having the potential to studied 815 female breast cancer patients with patholo- yield a false signal using the iPLEX high-throughput gically confirmed incident primary breast cancer seen genotyping platform were excluded. As a result, a total at the Tri-Service General Hospital or the Changhua of 21 SNPs were chosen for genotyping. Christian Hospital between March 2002 and August SNPs were genotyped in all samples using Sequenom 2007. The 821 healthy female controls were selected iPLEX technology (Sequenom, Hamburg, Germany). from among women attending the health examination Positive, negative and duplicate controls were included clinics of the same hospitals during the same period. on all plates, with genotypes being autocalled by specia- The characteristics of these study participants have lized software (MassARRAY Typer version 3.4; Seque- already been described in detail [18-21], and some par- nom) and subsequently confirmed by visual assessment ticipants (551 patients and 727 controls) have recently of the data. All assays were performed by individuals been genotyped for polymorphism of ESR1 [21], the blinded to the case-control status of the samples. As a gene coding for the ER. This study was approved by quality control, we repeated the genotyping on 10% of the Ethics Committee of the Institutional Review the samples, and all genotype scoring was performed Board of the Academia Sinica, Taiwan, and informed and checked separately by one reviewer who was una- consent was obtained from all study participants before ware of the case-control status. The concordance rate the collection of epidemiologic data by personal inter- for replicate samples was 100%. view. Considerations regarding methodological issues in the present study (such as study design, sampling Statistical analysis scheme, and potential bias) have been described in Univariate and multivariate analyses were used to deter- detail previously [18-21]. mine the risk factors for breast cancer in this series of study participants, and the odds ratio (OR) and corre- Questionnaire sponding 95% confidence intervals (95% CIs) were esti- Experienced research nurses were assigned to administer mated. For individual ERE SNPs, genotype frequencies a structured questionnaire to both patients and controls. were assessed for departure from the Hardy-Weinberg The information collected has been described, and the equilibrium using either a c2 goodness-of-fit test or a validity of the questionnaire has been addressed and Fisher’s exact test. The c2 test for a 2 × 3 contingency confirmed, in our previous studies [18-21]. table was used to compare genotype frequency between Yuetal.BreastCancerResearch2011,13:R13 Page3of8 http://breast-cancer-research.com/content/13/1/R13 patients and controls. To take account of multiple com- Results parisons, these associations were also assessed using the The risk profile of breast cancer in our study partici- permutation test provided in the Haploview software pants was similar to that found in our previous studies tool (Broad Institute of the Massachusetts Institute of [18-21] and in other breast cancer studies. The develop- Technology and Harvard University, Cambridge, MA, ment of breast cancer was found to be highly associated USA), run using 10,000 permutations. The association with reproductive risk factors, including early menarche, of susceptibility genotypes and breast cancer risk was nulliparity, lower number of full-term pregnancies further evaluated with simultaneous consideration of (FTPs) and older age at FFTP (Table 1). Compared to established risk factors for breast cancer or other signifi- controls, patients were younger at menarche (≤ 14 years cant risk factors in multivariate logistic regression mod- vs. >14 years, aOR, 1.52; 95% CI, 1.18 to 1.96) and older els. Biologic plausibility was the most important at FFTP (>23 years vs. ≤ 23 years, aOR, 1.30; 95% CI, criterion for inclusion of variables in the model. There- 1.00 to 1.69). Significant protection was conferred by a fore, we included all established risk factors for breast history of FTP (parous women vs. nulliparous women, cancer in the statistical models: age, family history of aOR, 0.67; 95% CI, 0.46 to 0.97) and a greater number breast cancer, age at menarche, parity and age at first of FTPs (history of more than two FTPs vs. history of full-term pregnancy (FFTP). Adjusted ORs (aORs) and two or fewer FTPs, aOR, 0.46, 95% CI, 0.34 to 0.61). No 95% CIs for genotypes were then estimated. association was found between cancer risk and a history We made use of the information on the ESR1 poly- of oral contraceptive use or between cancer risk and morphism in our study participants that we published body mass index. Significant risk factors were included recently [21] andexplored the effectof a possibleESR1- in the multivariate logistic regression models when we ERE interaction or estrogen-ESR1-ERE interaction in examined the association between SNPs and cancer risk. determining breast cancer development. A combination More importantly, these significant associations between of the joint method and stratified analysis [18-21] was reproductive risk factors and breast cancer reveal the applied to determine whether this interaction between importance of the estrogen-related etiology of breast ESR1 and ERE was associated with breastcancer forma- cancer in our participants, providing the opportunity to tion.AjointeffectofESR1-EREonincreasedbreastcan- examine the contribution of EREs during breast cer risk was explored using conventional logistic tumorigenesis. regression,atestevaluatingwhetherastatisticallysignifi- A total of 13,737 sites (274,740 bp of DNA) in the cantincreaseinriskwasobservedwithspecificcombina- whole genome were predicted to be ERE-related tions of putative high-risk genotypes in these SNPs sequences using the PReMod algorithm. After blasting (measured by the b estimates from this regression these data with online information available from SNP model). In addition, we stratified our study participants data sets (University of California, Santa Cruz, National on the basis of ESR1 genotype and examined whether Center for Biotechnology Information and HapMap), breastcancerriskassociatedwithERESNPswasparticu- 322 ER-binding sites were identified as potentially har- larly significant in specific ESR1 genotype subsets of boring SNPs. One hundred ten of these 322 SNPs were women.Becausewewereespeciallyinterestedintherela- found to contain no variant allele in the Chinese popu- tionshipbetweenthejointeffectofESR1-EREandbreast lation, resulting in 212 SNPs, 21 of which met our cri- cancerriskwithin categoriesofriskfactorsrepresenting teria and were genotyped in patients and controls differentlevelsofestrogenexposure,weperformedstrati- (Figure 1). fiedanalysistotestthishypothesis.Therefore,iftheiden- To determine the breast tumorigenic contribution of tified joint effect of ESR1-ERE SNPs initiated breast ERE SNPs, we examined whether the genotypic distribu- cancer by the formation of the estrogen-ER complex, tion of individual SNPs differed between the cases and thentherelationshipbetweenbreastcancerriskand the controls (Table S1 in Additional file 1). The frequencies joint effect would not be the same in women who had of all SNPs in the controls agreed with those expected experienceddifferentlengthsofestrogenexposure.This on the basis of the Hardy-Weinberg equilibrium, sug- wasevaluatedbycalculatingtherisk(aOR)ofbreastcan- gesting that genotyping error was relatively unlikely. cerassociated withthejointeffectof ESR1-ERESNPsin The result for the genotypic analysis of two SNPs women witha longer or shorterperiod oftotal estrogen (rs12539530 and rs9527676) was important, as it showed exposure. For menopausal women, total estrogen expo- that women carrying the homozygous variant genotype surewascalculatedusingtheformula(ageatmenopause had an significantly increased OR (P < 0.05) compared -ageatmenarche-yearsoffull-termpregnancy)and,for with women carrying the homozygous wild-type geno- premenopausalwomen,ageatmenopauseinthisformula type, as well as that the carrying of one additional risk wasreplacedbyageatrecruitmentintothisstudy. allele was associated with a significant increase in risk Yuetal.BreastCancerResearch2011,13:R13 Page4of8 http://breast-cancer-research.com/content/13/1/R13 Table 1Frequency ofriskfactorsin breast cancer patients andcontrols andthe adjusted oddsratios in relation to breast cancerriska Riskfactor Patients,%(n=814) Controls,%(n=821) aOR(95%CI)b Ageatmenarche >14yr 34.1 37.6 1.00(reference) ≤14yr 65.9 62.4 1.52(1.18to1.96) Menopause No 49.6 59.5 1.00(reference) Yes 50.4 40.5 0.60(0.42to0.84) Familyhistoryofbreast cancerinfirst-degree relatives No 88.7 90.7 1.00(reference) Yes 11.3 9.3 1.20(0.83to1.73) Nulliparity No 11.6 10.2 1.00(reference) Yes 88.4 89.8 0.67(0.46to0.97) No.offull-term pregnancies ≤2 51.0 45.6 1.00(reference) >2 49.0 54.4 0.46(0.34to0.61) Ageatfirstfull-term pregnancy ≤23years 62.6 64.0 1.00(reference) >23years 37.4 36.0 1.30(1.00to1.69) Bodymassindex ≤23 56.9 59.1 1.00(reference) >23 43.1 40.9 0.90(0.71to1.15) Useoforalcontraceptives No 81.4 82.1 1.00(reference) Ever 18.6 17.9 1.05(0.78to1.40) aaOR,adjustedoddsratio;95%CI,95%confidenceinterval;baORand95%CIwereestimatedinalogisticregressionmodelinwhichtheageofstudy participantswasincluded. (Table S1 in Additional file 1). The possibility of false- with previous findings using microarray technology positives due to multiple testing is less likely, because [25,26]. In addition, cell-cell adhesion, in which NRCAM the permutation test showed on the basis of 10,000 ran- is known to play a part, has been well documented as dom permutations that these two associations were bor- being involved in cancer formation [27,28]. All of these derline significant or significant (P = 0.08 andP = 0.03, lines of evidence support the biological plausibility of respectively) (Table S1 in Additional file 1). Both SNPs our findings, suggesting that rs12539530, found in an are located in regulatory regions of genes coding for cell ERE-related sequence and possibly regulating NRCAM adhesion molecules, as rs12539530 is located in intron 2 expression, is associated with breast cancer of NRCAM, a gene coding for a neuron-related cell susceptibility. adhesion molecule, and rs9527676 is located in intron 1 The well-known mechanism in which ER binds to EREs of PCDH17, a gene coding for protocadherin-17. To to mediate the expression of ER-regulated genes [2-4] gain initial clues for further analysis, we examined the prompted us to speculate whether the SNPs of EREs expression of these two genes in breast cancer cell lines. and ESR1 might be jointly associated with breast cancer. To this end, we checked the expression of NRCAM and We made use of the information on the ESR1 genotype PCDH17 in breast cancer cell lines expressing ESR1 of our study participants that we published recently [21] (MCF-7 cells) or not expressing ESR1 (MDA-MB-231 and examined this possibility using both stratified analy- cells) and examined whether the expression of these sis and the joint method. Three SNPs (rs3778609, putative ER-regulated genes is ER-dependent. The rs12665044, and rs827421) located in one cluster in results for NRCAM were more promising, as they intron 1 within the sequence coding for the activation showed that this gene could be expressed in an ER-posi- function (AF)-1 domain of the ER and one SNP tive breast cancer cell (Figure 2), which is consistent (rs7739506) located in intron 4 within the sequence Yuetal.BreastCancerResearch2011,13:R13 Page5of8 http://breast-cancer-research.com/content/13/1/R13 Figure2Transcription(mRNA)ofNRCAMdetectedbyreverse transcriptase-polymerasechainreaction(RT-PCR)assayisseen Figure 1 Flow diagram showing selection from the genome- intheestrogenreceptor(ER)-positivebreastcancercellline wide-predictedestrogenresponseelement-relatedsequences MCF-7,butnotintheER-negativebreastcancercelllineMDA- ofsingle-nucleotidepolymorphisms(SNPs)forgenotyping.ER, MB-231.GAPDHisthepositive(mRNA)controlofRT-PCR.ForRT- estrogenreceptor;MULDI-TOF,matrix-assistedlaserdesorption PCR,totalRNAwasextractedfromcelllinesusingtheArcturus inoization-timeofflightmassspectrometry. PicoPurRNAIsolationKit(AppliedBiosystems,ForsterCity,CA,USA), andtoconvertRNAintocDNA,reversetranscriptionwasperformed for70minutesat42°Cinareactionvolumeof20μlcontaining1 coding for the AF-2/ligand-binding domain have pre- μgofRNA,10mMrandomoligo(dT)primer(Promega),and5Uof viously been found to show significant or borderline sig- SuperScriptIIreversetranscriptase(Gibco-BRL,Gaithersburg,MD, USA).ThepresenceofacDNAbandoftheappropriatemolecular nificant associations with breast cancer susceptibility in weightwasdeterminedon1%agarosegelafterelectrophoresis. our population [21]. If this ERE SNP were linked to breast cancer susceptibility via the suspected ER-related mechanism, the association between rs12539530 and ESR1 SNPs in all women combined (Figure 3). More breast cancer would differ between women harboring interestingly, estrogen promotes breast tumorigenesis by different ESR1 genotypes. Our findings are consistent forming a complex with the ER which then binds to with this speculation, and the association between high- EREs[1,2],andthustherelationshipbetweenbreastcan- risk genotypes of rs12539530 and an increased breast cerriskandthejointeffectofrs12539530andESR1poly- cancer risk was significant in only one subset of women morphism might be modified by estrogen exposure, carrying specific genotypes of ESR1, but not in the other which is consistent with what we observed (Figure 3). subset (Table S2 in Additional file 1). Furthermore, on The riskofbreast cancer associatedwith the joint effect the basis of a very stringent multiplicative model, the ofpolymorphismsofrs12539530andESR1wasevaluated borderline significance P values for the interaction in different groups of women stratified by years of total between rs12539530 and rs827421 (P = 0.07) and estrogen exposure and a significant and increased joint between rs12539530 and rs7739506 (P = 0.09) are in effect was seen only in the subgroup of women with line with the suggestion that an interaction between more than 30 years of estrogen exposure (Figure 3). In rs12539530 and ESR1 polymorphism is linked to breast contrast, in the subsetof women with less than 30 years cancer risk. To confirm this interaction, we used the ofestrogenexposure,thesamejointeffectwasassociated joint method and calculated the risk of breast cancer withanonsignificantaOR(Figure3). associated with both rs12539530 and ESR1 SNPs using a set of dummy variables representing different combina- Discussion tions of genotypes of ESR1 and rs12539530. In contrast Of the predicted ERE-related sequences found through- to the increased, but not significant, risk associated with out the whole genome, the present study has identified either a high-risk genotype of ESR1 or rs12539530 a genetic variation of rs12539530, a SNP located in the alone, the greatest risk was found in those patients har- putative ERE site in intron 2 of NRCAM, as an impor- boring high-risk genotypes of both rs12539530 and tant factor in determining susceptibility to breast cancer Yuetal.BreastCancerResearch2011,13:R13 Page6of8 http://breast-cancer-research.com/content/13/1/R13 Figure3Associationofthejointeffectofgenotypesofrs12539530,asingle-nucleotidepolymorphism(SNP)associatedwithestrogen responseelements(EREs),andofsingle-nucleotidepolymorphismsofESR1,theestrogenreceptorgene,withbreastcancerriskinall womencombinedandinwomenstratifiedbytotalyearsofestrogenexposure(indicatedas“Estrogen”).aOR,adjustedoddsratio;95% CI,95%confidenceinterval. development. We attempted to address the possibility of we checked the LD block in which rs12539530 is false-positives and the effects of multiple testing by located in the Chinese population in HapMap [24], demonstrating a borderline significant P value in the which spans 22 kb in chromosome region 7q31, and permutation test. Even so, given the lack of strongly sig- found that the whole block is within intron 2 of nificant results, the power of the present study should NRCAM. In other words, no well-defined genes are in be an issue of particular concern, and our suggestion the same haplotype block as this SNP. To address the that rs12539530 is involved in determining breast cancer second possibility, we examined the sequence of this susceptibility certainly needs to be confirmed in other LD block and found that it contains more than 200 studies with larger sample sizes. predicted transcription factor binding sites, including In considering whether our findings represent a true those for specificity protein 1 (Sp1) and activator pro- association between this SNP in ERE and breast can- tein 1 (AP-1). After blasting these binding sites with cer, the most important issue is the interpretation of the sequences of 30 SNPs known to reside in this the identified association between SNPs and the trait. block as reported by HapMap, some SNPs were found Because the SNP identified is in an intron, it does not to be located within these binding sites, so the second affect amino acid coding and therefore probably does possibility cannot be totally excluded. However, we are not directly affect protein function. In addition, the prompted to suggest the breast tumorigenic contribu- observed association between breast cancer and this tion of rs12539530 on the basis of the findings that (1) SNP could be due to the presence of linkage disequili- rs12539530 and ESR1 SNPs jointly increased breast brium (LD) between this SNP and other SNPs in cancer susceptibility and (2) this joint effect was more exons (resulting in functional change) or in regulatory significant in women with a longer period of estrogen regions (affecting the expression of these genes). How- exposure. In addition, this suggestion is mechanistically ever, the first of these two possibilities is less likely, as plausible and is similar to the finding that rs10736303, Yuetal.BreastCancerResearch2011,13:R13 Page7of8 http://breast-cancer-research.com/content/13/1/R13 the SNP generating a putative ERE in intron 2 of suggests that this is a promising approach to identifying FGFR2, has been identified as the most significant thebreasttumorigeniccontributionofEREsonagenome- gene determining breast cancer susceptibility in recent widescaleonthebasisofinformationgeneratedbyrecent genome-wide association studies (GWASs) [29-31]. In technological advances. For example, in our ongoing addition, expression of NRCAM, the gene putatively study, we are exploring the breast tumorigenic role of regulated by rs12539530, has been suggested to be putativeEREsidentifiedusingchromatinimmunoprecipi- upregulated in ER-positive, but not in ER-negative, tation-basedmethods[25,32,33]. The simultaneous con- breast cancer cell lines [25,26], and this hypothesis was siderationoftheseER-associatedEREsandER-regulating confirmed by the present study (Figure 2). genesthat drivebreasttumorigenesismightbecriticalin Recent GWASs based on technological advances in thedevelopmentofnewanticancer drugtargetsandnew high-throughput genotyping have provided information therapeuticanddiagnosticapproaches. regarding the LD of neighboring polymorphisms. These GWASs have made possible the use of a few hundred Conclusions thousand SNPs as tags for all other variants, as well as Though the promise of personalizedmedicine, in which thebiobankingoftensofthousandsofspecimens,allow- the risk and the course of diseases and the efficacy of ing their immediate use in whole genome research. treatmentprotocolswouldbepredictedonthebasisofa These studies have ledtothe mappingof novelsuscept- person’s genotype, must been tempered with caution, ibilitylociformanycommontraits,includingbreastcan- validatedmoleculartestsassessingthepatient’sgermline cer[30,31]. Interestingly, none of theselociidentifiedas DNA already drive therapeutic decision-making.On the significant in determining breast cancer risk in GWASs basisofthewell-documentedroleofERinbreastcancer havebeenidentifiedassignificantinpreviousassociation development and progression, this study explored studiesbasedonacandidategeneapproach,andveryfew whethergeneticvariationsinEREs,thesequencesbound of the genes involved in the most plausible mechanisms by ER to activate the transcriptional regulationof target ofbreasttumorigenesis,includingthoseinvolvedinDNA genes,areassociatedwithsusceptibilityforbreastcancer. repairandsexhormone synthesisandmetabolismpath- Notably,theEREsitesgenotypedwerebasedongenome- ways, have been reported as important in GWASs. wideprediction,providingauniqueopportunitytocom- Region 7q31, in which NRCAM is located, has never prehensivelyexamineputativeEREsiteswithoutdepend- beenreportedtobeimportantwithregardtobreastcan- ing on a prior hypothesis. A significant combined effect cerriskdeterminationinGWASs.Thismightbepartially of rs12539530, an ERE SNP in intron 2 of NRCAM, explainedbytherelativelylow-penetranceeffectofSNPs which codes for a cell adhesion molecule, and SNPs of of estrogen-regulating genes. Distinct from those alleles ESR1, the gene coding for ER, on breast cancer risk was identifiedbycurrentGWAS,thesepolymorphicallelesof found. Our findings provide support for a role of ESR1- estrogen-regulating genes would predispose carriers to ERE polymorphism in determining susceptibility of only a moderately increased risk of developing cancer. breastcancerdevelopment.Thisknowledgewillbehelp- Thus,thesignificanceofsuchSNPsdependsnotonlyon fulfordirectingthefocusoffutureexperimentalstudies. their own effect but also on the interaction between the target genes and other functionally related genes (for Additional material example, ESR1) or the promoting effect of reproductive riskfactorsreflectingestrogenexposure.Ourfindingsare Additionalfile1:TablesS1andS2.TableS1presentsgenotype inlinewiththissuggestion. frequenciesofsequencevariantsofestrogenresponseelement(ERE)- relatedsequencesinbreastcancerpatientsandcontrolsandthe This study is a hybrid of candidate gene and genome- adjustedoddsratio(aOR)inrelationtobreastcancerrisk.TableS2 wide approaches in which we took advantage of both presentsbreastcancerriskassociatedwithgenotypicpolymorphismof designs. The well-defined roles of the ER during breast rs12539530,asingle-nucleotidepolymorphism(SNP)intheestrogen responseelement(ERE)-relatedsequence,stratifiedbygenotypesofESR1, tumorigenesis makes it reasonable to assume that poly- theestrogenreceptorgene. morphicgeneticvariantsofEREs,centralnodesintheER pathway,mightunderliethevariationsseenbetweenindi- vidualsintheirsusceptibilitytobreastcancer.Thiscandi- Abbreviations date mechanism lends critical support to the biological CI:confidenceinterval;ER:estrogenreceptor;ERα:estrogenreceptorα;ERE: plausibilityandtumorigenic relevanceofour findings. In estrogenresponseelement;FFTP:firstfull-termpregnancy;FTP:full-term addition,ourgenotypingofSNPsonthebasisofgenome- pregnancy;GWAS:genome-wideassociationstudies;LD:linkage disequilibrium;OR:oddsratio;SNP:singlenucleotidepolymorphism. wide predicted EREs provided a unique opportunity to comprehensively examine putative ERE sites without Acknowledgements dependingonapriorhypothesis.Thesuccessfulidentifica- FinancialsupportwasprovidedbygrantNSC98-2628-B-016-001-MY3(toJCY) tion of rs12539530 by using these combined methods fromtheNationalScienceCouncil,TaiwanandbygrantsTSGH-C97-7-S03, Yuetal.BreastCancerResearch2011,13:R13 Page8of8 http://breast-cancer-research.com/content/13/1/R13 DOD-98-28-03andDOD-98-36fromtheTri-ServiceGeneralHospital(toJCY 14. BlanchetteM,BatailleAR,ChenX,PoitrasC,LaganièreJ,LefèbvreC, andHMH). DebloisG,GiguèreV,FerrettiV,BergeronD,CoulombeB,RobertF: Genome-widecomputationalpredictionoftranscriptionalregulatory Authordetails modulesrevealsnewinsightsintohumangeneexpression.GenomeRes 1DepartmentofSurgery,Tri-ServiceGeneralHospital,Ming-ChengEastRoad, 2006,16:656-668. Taipei,114,Taiwan.2InstituteofBiomedicalSciences,AcademiaSinica, 15. LoYL,YuJC,HuangCS,TsengSL,ChangTM,ChangKJ,WuCW,ShenCY: AcademyStreet,Taipei,115,Taiwan.3DepartmentofPharmacy,China AlleliclossoftheBRCA1andBRCA2genesandotherregionson17q MedicalUniversity,Hsueh-ShihRoad,Taichung,404,Taiwan.4Departmentof and13qinbreastcanceramongwomenfromTaiwan(areaoflow Surgery,ChanghuaChristianHospital,NanxiaoStreet,Changhua,500, incidencebutearlyonset).IntJCancer1998,79:580-587. Taiwan.5DepartmentofRadiology,Tri-ServiceGeneralHospital,Ming-Cheng 16. ShenCY,YuJC,LoYL,KuoCH,YueCT,JouYS,HuangCS,LungJC, EastRoad,Taipei,114,Taiwan.6DepartmentofNursing,Kang-NingJunior WuCW:Genome-widesearchforlossofheterozygosityusinglaser CollegeofMedicalCareandManagement,KangningRoad,Taipei,114, capturemicrodissectedtissueofbreastcarcinoma:animplicationfor Taiwan.7InstituteofBiochemistryandBiotechnology,ChungShanMedical mutatorphenotypeandbreastcancerpathogenesis.CancerRes2000, University,JianguoNorthRoad,Taichung,402,Taiwan.8GraduateInstituteof 60:3884-3892. EnvironmentalSciences,ChinaMedicalUniversity,Hsueh-ShihRoad, 17. ChengTC,ChenST,HuangCS,FuYP,YuJC,ChengCW,WuPE,ShenCY: Taichung,404,Taiwan. Breastcancerriskassociatedwithgenotypepolymorphismofthe catecholestrogen-metabolizinggenes:amultigenicstudyoncancer Authors’contributions susceptibility.IntJCancer2005,113:345-353. JCYandCYSparticipatedinthestudydesignandcoordination,carriedout 18. DingSL,YuJC,ChenST,HsuGC,KuoSJ,LinYH,WuPE,ShenCY:Genetic theparticipantrecruitmentanddraftedthemanuscript.CNHandPEW variantsofBLMinteractwithRAD51toincreasebreastcancer carriedoutthegenotypinganddataanalysis.BYBcontributedtosearching susceptibility.Carcinogenesis2009,30:43-49. EREwebsitesusingPReMod.HMH,STCandGCHcarriedouttheparticipant 19. DingSL,YuJC,ChenST,HsuGC,ShenCY:Geneticvariationinthe recruitment.WCCandLYHcontributedtothevalidationofNRCAM prematureaginggeneWRN:acase-controlstudyonbreastcancer expressioninbreastcancercelllines.SDandCWCperformedESR1 susceptibility.CancerEpidemiolBiomarkersPrev2007,16:263-269. genotyping. 20. YuJC,DingSL,ChangCH,KuoSH,ChenST,HsuGC,HsuHM,HouMF, JungLY,ChengCW,WuPE,ShenCY:Geneticsusceptibilitytothe Competinginterests developmentandprogressionofbreastcancerassociatedwith Theauthorsdeclarethattheyhavenocompetinginterests. polymorphismofcell-cycleandubiquitinligasegenes.Carcinogenesis 2009,30:1562-1570. Received:27October2010 Revised:24December2010 21. DingSL,YuJC,ChenST,HsuHM,HoJY,LinYH,ChangCC,FannCS, Accepted:31January2011 Published:31January2011 ChengCW,WuPE,ShenCY:DiverseassociationsbetweenESR1 polymorphismandbreastcancerdevelopmentandprogression.Clin References CancerRes2010,16:3473-3484. 1. AliS,CoombesRC:Endocrine-responsivebreastcancerandstrategiesfor 22. UCSCGenomeBioinformatics.[http://genome.ucsc.edu/]. combatingresistance.NatRevCancer2002,2:101-112. 23. NCBIPubMed.[http://www.ncbi.nlm.nih.gov/sites/entrez]. 2. YagerJD,DavidsonNE:Estrogencarcinogenesisinbreastcancer.NEnglJ 24. HapMapProject.[http://hapmap.ncbi.nlm.nih.gov/index.html.en/]. Med2006,354:270-282. 25. LinCY,VegaVB,ThomsenJS,ZhangT,KongSL,XieM,ChiuKP,LipovichL, 3. OsborneCK,SchiffR:Estrogen-receptorbiology:continuingprogressand BarnettDH,StossiF,YeoA,GeorgeJ,KuznetsovVA,LeeYK,CharnTH, therapeuticimplications.JClinOncol2005,23:1616-1622. PalanisamyN,MillerLD,CheungE,KatzenellenbogenBS,RuanY, 4. GreenKA,CarrollJS:Oestrogen-receptor-mediatedtranscriptionandthe BourqueG,WeiCL,LiuET:Whole-genomecartographyofestrogen influenceofco-factorsandchromatinstate.NatRevCancer2007, receptorαbindingsites.PLoSGenet2007,3:e87. 7:713-722. 26. RaeJM,JohnsonMD,ScheysJO,CorderoKE,LariosJM,LippmanME: 5. ShangY:MolecularmechanismsofoestrogenandSERMsinendometrial GREB1isacriticalregulatorofhormonedependentbreastcancer carcinogenesis.NatRevCancer2006,6:360-368. growth.BreastCancerResTreat2005,92:141-149. 6. BondGL,HuW,BondEE,RobinsH,LutzkerSG,ArvaNC,BargonettiJ, 27. MicalizziDS,FarabaughSM,FordHL:Epithelial-mesenchymaltransitionin BartelF,TaubertH,WuerlP,OnelK,YipL,HwangSJ,StrongLC,LozanoG, cancer:parallelsbetweennormaldevelopmentandtumorprogression. LevineAJ:AsinglenucleotidepolymorphismintheMDM2promoter JMammaryGlandBiolNeoplasia2010,15:117-134. attenuatesthep53tumorsuppressorpathwayandacceleratestumor 28. ThieryJP,AcloqueH,HuangRY,NietoMA:Epithelial-mesenchymal formationinhumans.Cell2004,119:591-602. transitionsindevelopmentanddisease.Cell2009,139:871-890. 7. LiLC,ChuiRM,SasakiM,NakajimaK,PerincheryG,AuHC,NojimaD, 29. EastonDF,PooleyKA,DunningAM,PharoahPD,ThompsonD, CarrollP,DahiyaR:AsinglenucleotidepolymorphismintheE-cadherin BallingerDG,StruewingJP,MorrisonJ,FieldH,LubenR,WarehamN, genepromoteralterstranscriptionalactivities.CancerRes2000, AhmedS,HealeyCS,BowmanR,MeyerKB,HaimanCA,KolonelLK, 60:873-876. HendersonBE,LeMarchandL,BrennanP,SangrajrangS,GaborieauV, 8. Klein-HitpassL,SchorppM,WagnerU,RyffelGU:Anestrogen-responsive OdefreyF,ShenCY,WuPE,WangHC,EcclesD,EvansDG,PetoJ, elementderivedfromthe5’flankingregionoftheXenopusvitellogenin FletcherO,etal:Genome-wideassociationstudyidentifiesnovelbreast A2genefunctionsintransfectedhumancells.Cell1986,46:1053-1061. cancersusceptibilityloci.Nature2007,447:1087-1093. 9. BajicVB,TanSL,ChongA,TangS,StrömA,GustafssonJA,LinCY,LiuET: 30. VargheseSJ,EastonDF:Genome-wideassociationstudiesincommon DragonEREFinderversion2:atoolforaccuratedetectionandanalysis cancers:whathavewelearnt?GenetDevelop2010,20:201-209. ofestrogenresponseelementsinvertebrategenomes.NucleicAcidsRes 31. MavaddatN,AntoniouAC,EastonDF,Garcia-ClosasM:Genetic 2003,31:3605-3607. susceptibilitytobreastcancer.MolOncol2010,4:174-191. 10. BourdeauV,DeschenesJ,MetivierR,NagaiY,NguyenD,BretschneiderN, 32. WelborenWJ,vanDrielMA,Janssen-MegensEM,vanHeeringenSJ,SweepFC, GannonF,WhiteJH,MaderS:Genome-wideidentificationofhigh-affinity SpanPN,StunnenbergHG:ChIP-SeqofERαandRNApolymeraseIIdefines estrogenresponseelementsinhumanandmouse.MolEndocrinol2004, genesdifferentiallyrespondingtoligands.EMBOJ2009,28:1418-1428. 18:1411-1427. 33. WelborenWJ,SweepFC,SpanPN,StunnenbergHG:Genomicactionsof 11. WelborenWJ,StunnenbergHG,SweepFC,SpanPN:Identifyingestrogen estrogenreceptorα:whatarethetargetsandhowaretheyregulated? receptortargetgenes.MolOncol2007,1:138-143. EndocrRelatCancer2009,16:1073-1089. 12. CarrollJS,BrownM:Estrogenreceptortargetgene:anevolvingconcept. doi:10.1186/bcr2821 MolEndocrinol2006,20:1707-1714. Citethisarticleas:Yuetal.:Geneticvariationinthegenome-wide 13. FerrettiV,PoitrasC,BergeronD,CoulombeB,RobertF,BlanchetteM: predictedestrogenresponseelement-relatedsequencesisassociated PReMod:adatabaseofgenome-widemammaliancis-regulatorymodule withbreastcancerdevelopment.BreastCancerResearch201113:R13. predictions.NucleicAcidsRes2007,35:D122-D126.

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