Abstract
We examined whether common single nucleotide polymorphisms (SNP) in SULT1A1 (c.779G>A, *14A>G, and *85C>T) and SULT1E1 (IVS1-447C>A, IVS4-1653T>C, and *959G>A) genes influenced the risk and survival of breast cancer. Our study population consisted of 989 histologically confirmed sporadic breast cancer patients and 1,054 controls without history of cancer recruited from three teaching hospitals in Seoul. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by logistic regression model. In the survival analysis for 529 breast cancer patients with completed treatments, the hazard ratios (HR) were calculated with Cox proportional hazard model. Women with the SULT1E1 *959 GA/AA genotype had a moderately decreased breast cancer risk compared with those with the GG genotypes (OR, 0.8; 95% CI, 0.70-1.00). When the haplotypes were considered, the homozygous *959 AA genotype together with the IVS4-1653 T>C base change (CTA-CCA haplotype) was associated with halved breast cancer risk (OR, 0.5; 95% CI, 0.24-0.88) compared with the wild type CTG-CTG haplotype. No other significant overall association was observed between the SULT1A1 and SULT1E1 SNPs nor haplotypes and breast cancer risk. When stratified by survival, patients with the SULT1E1 IVS4-1653 TC/CC genotypes showed a >3-fold risk of recurrence (HR, 3.2; 95% CI, 1.39-7.48) compared with those with the TT genotype. Moreover, when the haplotypes were considered, the SULT1E1 *959 G>A base change together with the IVS4-1653 T>C base change (CTG-CCA haplotype) was associated with a >4-fold risk of breast cancer (OR, 4.2; 95% CI, 1.15-15.15). These findings suggest that genetic polymorphisms of SULT1E1 are associated with increased risk and a disease free survival of breast cancer in Korean women.
Introduction
The involvement of estrogens in breast carcinogenesis has been appreciated for a number of years. In addition, estrogen stimulation is an important factor in human breast cancer cell growth and development via estrogen receptor (ER)–medicated cellular events. The role of catechol estrogens as genotoxic chemical procarcinogens, independent of ER mediation, has also recently been recognized (1).
Estrogen conjugation is a major route of estrogen metabolism (1). Because conjugated estrogens are not appreciable ligands for the ERs, they do not promote ER-mediated mitogenicity. The most abundant circulating estrogen exists as a sulfate conjugate. The conjugation reaction is catalyzed by human sulfotransferases (SULT; ref. 2). Therefore, genetically determined individual variation in the SULT-mediated sulfate conjugation capacity may contribute to the estrogen-dependent carcinogenesis (3).
The most important SULTs from an estrogen-dependent carcinogenesis point of view are SULT1A1 and SULT1E1 sulfonating estrone, estradiol, and other steroid compounds. SULT1A1 has been shown to be highly expressed in breast cancer cell lines (4). A common single nucleotide polymorphism (SNP) has been observed in the SULT1A1 gene (c.779G>A) that results in an arginine-to-histidine amino acid change in codon 213 that significantly influence the enzymatic activity; individuals with two His213 alleles had only 15% of the SULT1A1 activity compared with the carriers of the Arg213 allele (5). Some rather small previous studies (103-444 cases) involving different ethnic study populations that have explored the potential association between the SULT1A1 c.779G>A polymorphism and breast cancer risk have shown inconsistent results (6-9). A number of studies with conflicting outcomes have also been conducted on SULT1A1 c.779G>A polymorphism and cancers of lung, colon, prostate, bladder, esophagus, and urinary tract (10-21).
SULT1E1 exhibits the highest affinity for estrogens among SULTs (22) indicating that it is active at physiologically significant concentrations of estrogens (23). Moreover, SULT1E1 is highly expressed in normal human mammary epithelial cells (4) and might play an important role in estrogen-driven breast cancer development. Although SULT1E1 seems rarely expressed in breast cancer cell lines (4), its expression has been detected in human breast carcinomas, which in turn was associated with a decreased risk of recurrence or improved prognosis of breast cancer (24).
To date, >20 SNPs have been found in the SULT1E1 gene (25, 26). These polymorphisms include functionally different but rare polymorphisms in Caucasians, Africans, and Japanese. However, to our knowledge, no studies on the association between SULT1E1 SNPs and breast cancer risk or survival have been reported to date.
We examined the potential association between the SULT1A1 and SULT1E1 SNPs, for which the variant allele frequencies based on National Center for Biotechnology Information-SNP (http://www.ncbi.nlm.nih.gov/SNP) and JSNP (http://snp.ims.u-tokyo.ac.jp) databases were >10%, and breast cancer risk in a large case-control study in Korean. Association between these SNPs and breast cancer survival was also evaluated.
Materials and Methods
Study Subjects
The cases consisted of a consecutive series of breast cancer patients admitted to three teaching hospitals located in Seoul, Korea (SNUH, Borame, and Asan) between 1995 and 2003. The control subjects consisted of noncancer patients admitted to the same hospitals as the cases and of healthy women who participated in the community health screening program provided by a teaching hospital located in Seoul (EWUMC) in 2003. The study design was approved by the Committee on Human Research of Seoul National University Hospital, and the subjects provided their informed consents before participation in the study.
Eligible subjects included 1,007 histologically confirmed incident breast cancer patients and 1,136 cancer-free controls from whom the DNA samples were available. After exclusion of subjects with previous history of cancer or previous history of hysterectomy and oophorectomy, the final study population comprised 989 breast cancer cases and 1,054 cancer-free controls; the control group consisted of 471 healthy women and 710 hospital controls with noncancerous diseases including infection or stone of gall bladder/bile duct (26%), benign breast disease (17%), acute appendicitis (14%), hemorrhoid (8%), hernia/perforation (7%), lipoma (2%), and others (26%). Approximately 20% of cases and 14% of controls approached were excluded from the final study groups because of refusal to participate, failure to interview, and no blood collection. The criteria of subject selection and details of data collection on lifestyle have been described elsewhere (27). Information on demographic characteristics; education; marital status; family history of breast cancer in the first- and second-degree relatives; reproductive and menstrual factors; and lifestyle habits, including smoking (smoked at least 400 cigarettes/lifetime), alcohol consumption (<1/mo, ≤1-3/mo, ≥1/wk), oral contraceptive (OC) use, and hormone replacement therapy (HRT), were collected by trained interviewers using a structured questionnaire. Risk factors and genotype frequencies were not different between benign breast disease and other diseases among hospital controls and between the hospital controls and healthy controls (data not shown). Thus, the final statistical analyses were done by adjusting for all significant covariates identified from the initial analysis.
The subjects for survival analysis included 529 consecutive patients who underwent surgery for primary breast cancer between 1997 and 2002. Patients were followed up for disease-free survival from time of surgery until the first clinically recognized evidence of local or distance recurrence, death, or loss to follow-up. The distribution of follow-up for patients still alive at the time of analysis or loss to follow-up ranged from 3.8 to 73.3 months, with a median of 13.6 months. During the respective follow-up periods, 23 patients (4.3%) developed cancer relapse and four patients (0.8%) died. The clinicopathologic characteristics of the patients including age at onset, disease stage (tumor-node-metastasis stage), cancer treatments, and ER/progesterone receptor (PR) status were abstracted from medical records using a standard protocol.
Genotyping
Three SULT1A1 and four SULT1E1 SNPs, exhibiting reported variant allele frequencies higher than 10%, were selected from the National Center for Biotechnology Information-SNP (http://www.ncbi.nlm.nih.gov/SNP) and JSNP (http://snp.ims.u-tokyo.ac.jp) databases. Of these seven SNPs, six were successfully genotyped in the present study population. The SULT1A110
Nonmenclature followed by den Dunnen and Antonarakis (28).
Genotyping analyses were done blindly to the case-control status. The repeatability tests were conducted for five samples with 10 repeats randomly placed in the 384-well plates. Out of 250 reactions (50 samples for five loci), five results could not be determined and four discordant scorings emerged. A 94.0% concordance rate was thus achieved. When the undermined genotypes were excluded the concordance rate was 95.9%.
Statistical Analysis
The genotype frequencies were tested against Hardy-Weinberg equilibrium (HWE) by the χ2 test. The associations between SNPs or haplotypes of SULT1A1 or SULT1E1 and breast cancer risk were estimated as odds ratios (OR) and 95% confidence intervals (95% CI) by unconditional logistic regression model adjusting for age (years), family history of breast cancer in first- and second-degree relatives (yes/no), and lifetime estrogen exposure (years; presenting the number of years of exposure to menstrual cycles, which is calculated according to the age at menarche and age at interview for premenopausal women and age at menarche and age at menopause for postmenopausal women). Linear increase in the risk with environmental exposure or genotype was evaluated by the likelihood ratio test. The product variable between genotypes and environmental exposure [genotype] × [exposure] was added in the logistic model when evaluating the multiplicative interactive effect of SULT1A1 or SULT1E1 genotypes and environmental exposure on breast cancer risk.
After excluding the missing data with at least one out of each three polymorphic sites of SULT1A1 or SULT1E1, the individual haplotypes were estimated from the genotype data by the Bayesian method using PHASE program (ver. 2.0.2; ref. 29). Pairwise linkage disequilibrium between any two alleles out of three polymorphic sites was estimated as relative disequilibrium (D′) from estimated haplotype data using the following equations: (a) D = pAB − pApB; (b) D′ = D / Dmax, where Dmax = min(pApb, papB) if D ≥ 0; and (c) D′ = −D / Dmin, where Dmin = max(−pApB, −papb) if D < 0, and the statistical significance was evaluated by the Fisher's exact test. All of the alleles in the three loci of SULT1A1 and SULT1E1 were found to be in strong linkage disequilibrium (D′ > 0.75, P < 0.001 in SULT1A1; D′ > 0.73, P < 0.001 in SULT1E1). The distributions of the haplotypes in the cases and controls were compared by χ2 test. In diplotype (combination of haplotype) analysis, the diplotype consisting of the most common haplotypes (GAC for SULT1A1 and CTG for SULT1E1) was used as the reference. The risk of breast cancer was estimated for each diplotype compared with the common diplotype after adjusting for other covariates.
For survival analysis, Kaplan-Meier analysis was used to assess the cumulative survival probabilities and differences were evaluated using the log-rank test. Hazard ratios (HR) were calculated with Cox proportional hazard model adjusted for age (years) and tumor-node-metastasis stage at diagnosis (stage I or II versus stage III or IV) for 529 breast cancer patients. All statistical analyses were done using STATA version 8.0 (Stata Corp. LP, College Station, TX).
Results
As shown in Table 1, family history of breast cancer in first- and second-degree relatives (OR, 2.5; 95% CI, 1.60-4.02), lifetime estrogen exposure (per 5 years; OR, 1.3; 95% CI, 1.18-1.45), use of HRT (OR, 2.5; 95% CI, 1.73-3.64), and smoking (OR, 1.5; 95% CI, 1.05-2.05) increased the risk of breast cancer significantly after adjusting by age, family history of breast cancer in first- and second-degree relatives, and lifetime estrogen exposure. Although community controls were older than hospital controls, the distributions of most known risk factors (e.g., education, family history of breast cancer in first- and second-degree relatives, use of OC, and use of HRT) were not significantly different (Table 1).
The allele distribution in two of the six studied polymorphic loci (i.e., SULT1A1 *14A>G and *85C>T) did not conform to the HWE.
The SULT1E1 *959 A allele–containing genotypes (AA/AG) posed a significantly decreased breast cancer risk compared with the GG genotype (OR, 0.8; 95% CI, 0.70-1.00). A significant trend was seen between the number of the SULT1E1 *959 A alleles and breast cancer risk (Ptrend = 0.035). In contrast, no significant association was observed between the SULT1A1 genetic polymorphisms nor between the SULT1E1 IVS1-447C>A and IVS4-1653T>C polymorphisms and breast cancer risk (Table 2).
A significant interaction was observed between SULT1E1 *959 genotypes and use of OCs; ever users of OCs carrying the SULT1E1 *959 GG genotype had a 1.6-fold risk of breast cancer (95% CI, 1.09-2.23) compared with never users of OCs carrying the SULT1E1 *959 A allele–containing genotypes (AA/AG); this interaction was mainly attributable to premenopausal women (OR, 2.2; 95% CI, 1.29-3.73; Pinteraction = 0.030).
When estimating the SULT1A1 haplotypes reconstructed from individual SNPs of SULT1A1 c.779G>A, *14A>G, and *85C>T and the SULT1E1 haplotypes reconstructed from SULT1E1 IVS1-447C>A, IVS4-1653T>C, and *959G>A, a total of seven haplotypes were estimated from the genotype data for the SULT1A1 and eight haplotypes for the SULT1E1 (Table 3). Only seven of these haplotypes (three for SULT1A1 and four for SULT1E1) exhibited a frequency of >5%. Overall, the haplotype distributions were not significantly different between the cases and controls (P = 0.494 for SULT1A1 and P = 0.160 for SULT1E1). However, compared with the CTG-CTG diplotype of SULT1E1, consisting solely of the major alleles of each three polymorphic loci of the SULT1E1 gene, the CTA-CCA diplotype, consisting of the homozygous *959 AA genotype together with the IVS4-1653 T>C base, posed a decreased risk of breast cancer (OR, 0.5; 95% CI, 0.24-0.88) suggesting that the association between breast cancer risk and SULT1E1 polymorphisms was stronger in the haplotype analysis than in individual SNP analysis (*959G>A polymorphism only; Table 4).
The clinicopathologic characteristics of 529 patients for survival analysis are shown in Table 5. No significant differences in the genotype frequency were seen between the tumor-node-metastasis stage or ER/PR status (data not shown). However, the SULT1E1 IVS4-1653 T allele–containing genotypes (TC/CC) were related to better survival (Table 6), particularly among women with ER-negative breast cancer (HR, 3.3; 95% CI, 1.20-8.99 with ER negative); the overall adjusted hazard ratio for disease-free survival associated with the TC/CC genotype was 3.2 (95% CI, 1.39-7.48). Moreover, the CTG-CCA diplotype increased hazard of disease-free survival into >4-fold compared with the referent CTG-CTG diplotype (HR, 4.2; 95% CI, 1.15-15.15; Table 6).
Discussion
When the six common SNPs were explored separately in the study, only the SULT1E1 *959G>A polymorphism seemed to modulate the individual breast cancer risk in Korean women, and this association was only very moderate and of borderline significance. Consistent with our finding, Seth et al. (6) reported a similar lack of significant overall association between the SULT1A1 genotypes and breast cancer risk in a study involving 444 cases and 227 controls. Zheng et al. (7), on the other hand, found that the SULT1A1 c.779 A allele increased the risk of breast cancer in a nested case-control study with 156 cases and 332 controls, and Tang et al. (8) found a tendency of inverse association in a study on 103 cases and 230 controls. Recently, Han et al. (9) also reported a positive association between the SULT1A1 c.779 A allele and breast cancer risk in a Chinese study involving 213 cases and 430 controls. Potential reasons for these discrepancies include differences in the allele frequencies, sample size, and ethnicity. The present study had >84% power (two-sided test of significance, ≤0.05) to detect an OR of 1.5 for carriers of SULT1A1 c.779 A allele with the frequency of 0.1.
There seems a good biological explanation for the present observations. Falcony et al. (4) did not detect the SULT1A1 protein in human mammary epithelial cell, which corresponds with the absence of SULT1A1 activity in human mammary epithelial cytosol. SULT1A1 also have an affinity for β-estradiol (E2) sulfation 700- to 3,000-fold lower than that of SULT1E1 (22), suggesting that estrogen sulfation by SULT1A1 in human mammary epithelial cell line does not alter E2 levels at which E2 interacts with the ER.
We also analyzed the gene-environment interaction between genetic polymorphisms of SULT1A1 or SULT1E1 and estrogen exposure (i.e., use of OCs, HRT, and lifetime estrogen exposure). Although the OC use itself did not significantly increase the overall breast cancer risk (OR, 1.2; 95% CI, 0.95-1.59) nor the risk in premenopausal women (OR, 1.4; 95% CI, 0.95-2.01), and although the prevalence of OC use was only about 13% in controls (30-40% in other studies), the risk was of similar magnitude as what was seen in a meta analysis of 54 studies (relative risk ± SD = 1.17 ± 0.081; ref. 30). The trend of increased risk of breast cancer in the younger women by OC observed in this study is also supported by previous findings (31). Although we observed a significant multiplicative interaction between use of OCs and the possession of the SULT1E1 *959 GG genotype in the premenopausal women, HRT, and lifetime estrogen duration, which were stronger risk factor of breast cancer development, were not modified by the SULT1A1 and SULT1E1 genotypes. Thus, these results need to be interpreted cautiously.
The SULT1E1 IVS4-1653 TC/CC genotype seemed significantly associated with decreased survival rate from breast cancer. The SULT1E1 expression has previously been found to be significantly associated with improved prognosis and with decreased cell proliferation in MCF-7 cells (23, 24). These findings may support our results if SULT1E1 IVS4-1653 TC-CC genotype decreased the expression levels. However, because data on the genotype to phenotype relation of the variant alleles of SULT1E1 is not available, the underlying biological mechanism for our results is most speculative.
We also observed the discrepancy of the role of specific SNPs of SULT1E1 on the risk and survival of breast cancer (e.g., *959G>A for risk and IVS4-1653T>C for survival). Although the discrepancy in certain germ line mutations (e.g., ATM and p73) between cancer development and prognosis is reported (32, 33), further studies on the effect of the polymorphisms on SULT1E1 mRNA production or stability are needed to clarify the mechanisms of action underlying the associations with the risk and survival of breast cancer.
In contrast to SULT1E1 polymorphism, no relation between the SULT1A1 genotypes and breast cancer survival was seen in this study. This disagrees with the findings of Nowell et al. (34) indicating a relationship between SULT1A1 c.779 A>G polymorphism and survival in 337 tamoxifen-treated breast cancer patients. The latter result, however, contradicts the hypothesis that the lower SULT1A1 activity conferred by the SULT1A1 c.779 A allele would result in decrease clearance of 4-OH tamoxifen and thereby increase the efficacy of tamoxifen treatment.
Estimation of haplotypes from the separate SNP data has recently been commonly incorporated in the studies on gene environment interactions in environmentally induced diseases. In spite that the relatively common SNPs were selected (>10%) to increase the power of the study, we could not take full advantage of the haplotype analysis due to insufficient sample size, especially in the survival analysis. However, the haplotype analysis revealed more profound associations between the SULT1E1 gene and both breast cancer risk and disease-free survival. The validity of haplotype analysis was supported by the high repeatability of genotype data (>95%) and the minimal ambiguity for the most haplotype data (precision, ≥0.9).
Our study has several limitations. First, the controls were recruited from different sources (i.e., hospital-based patients or healthy women in community). Although some selected characteristics (e.g., age, menopausal status, and frequency of alcohol consumption) were different between the hospital-based and community controls, the distribution of most known risk factors and genotype frequencies were not different. The result did not change when the analysis was conducted after excluding the subjects with benign breast disease from the control group (data not shown). Second, two of the SULT1A1 SNPs genotyped in this study were not in HWE. However, comparability analyses of the genotyping methods, in which 50 of randomly selected samples were tested with sequencing directly, gave 100% identical results. Because the Bayesian method used for estimating haplotypes in this study is not under the assumption of HWE, the departures from HWE may not significantly affect the haplotype estimation of SULT1A1 (29).
In summary, our results suggest that genetically determined SULT1E1-related estrogen sulfation capacity could contribute to the development of breast cancer and disease free survival in Korean women.
Appendix A SULT1A1 and SULT1E1 primer and probe sequences
Grant support: Korean Health 21 R&D Project, Korean Ministry of Health and Welfare, Republic of Korea Grant 03-PJ10-PG13-GD01-0002.
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