Haplotype analyses of CYP19A1 gene variants and breast cancer risk: results from the Shanghai Breast Cancer Study.

Estrogens play a central role in the etiology of breast cancer. The CYP19A1 gene encodes aromatase, a key enzyme in the biosynthesis of estrogens. Several single nucleotide polymorphisms (SNP) or haplotypes in the CYP19A1 gene have been evaluated in relation to breast cancer risk. However, the results have been inconsistent. In this study, we constructed haplotypes of the CYP19A1 gene using 19 haplotype-tagging SNPs in Chinese women and evaluated the variation of this gene in relation to breast cancer risk in a population-based case-control study involving 1,140 cases and 1,244 community controls of the Shanghai Breast Cancer Study. Five common haplotypes in block 1, three common haplotypes in block 2, five common haplotypes in block 3, and four common haplotypes in block 4 were identified. No apparent association was observed between common haplotypes and breast cancer risk in analyses including all subjects nor in analyses stratified by menopausal status. Similarly, no statistically significant differences were found between cases and controls in the genotype distributions of the 19 individual SNPs and the (TTTA)(n) repeat polymorphism evaluated in the study. No overall association of breast cancer risk with common CYP19A1 gene variants among Chinese women was observed in this large-scale, comprehensive study. Further studies are needed to explore CYP19A1 gene-environment interactions in relation to breast cancer risk.     

HSD17B1 gene polymorphisms and risk of endometrial and breast cancer.

Estrogen exposure influences breast and endometrial cancer risk. The HSD17B1 gene produces an enzyme that catalyzes the conversion of estrone to estradiol. We hypothesized that genetic variations in HSD17B1 gene may alter endogenous estrogen levels and, thus, influence endometrial and breast cancer risk. We validated and genotyped polymorphisms in the HSD17B1 gene and assessed whether these single nucleotide polymorphisms (SNPs), or the imputed haplotypes, were associated with endometrial and breast cancer risk. We also assessed whether a priori risk factors modified the associations between HSD17B1 genotype and cancer risk, and whether HSD17B1 genotypes were associated with plasma estrogen levels among postmenopausal women not using hormone replacement therapy. Ten SNPs of HSD17B1 gene were validated in 30 women from the Nurses' Health Study. Using the expectation maximization algorithm, three common (>5% frequency) haplotypes accounted for 97% of the chromosomes at this locus, and seven SNPs were in complete linkage disequilibrium. We identified and genotyped two haplotype-tagging SNPs (+1004C/T and +1322C/A), and genotyped an additional SNP [+1954A/G (Ser312Gly)] in nested case-control studies of endometrial cancer (cases = 222, controls = 666) and breast cancer (cases = 1007, controls = 1441) in the prospective Nurses' Health Study. Although no overall association by SNP or haplotype analysis was observed with endometrial or breast cancer risk, the +1954A/A genotype was associated with higher estradiol levels in lean women (P = 0.01) and interaction between the +1954 genotype with body mass index in postmenopausal breast cancer (P = 0.05) was suggested. These findings suggest that the HSD17B1 may be associated with circulating estradiol levels and interact with body mass index in postmenopausal breast cancer.     

Estrogen receptor genotypes and haplotypes associated with breast cancer risk

Nearly one in eight US women will develop breast cancer in their lifetime. Most breast cancer is not associated with a hereditary syndrome, occurs in postmenopausal women, and is estrogen and progesterone receptor-positive. Estrogen exposure is an epidemiologic risk factor for breast cancer and estrogen is a potent mammary mitogen. We studied single nucleotide polymorphisms (SNPs) in estrogen receptors in 615 healthy subjects and 1011 individuals with histologically confirmed breast cancer, all from New York City. We analyzed 13 SNPs in the progesterone receptor gene (PGR), 17 SNPs in estrogen receptor 1 gene (ESR1), and 8 SNPs in the estrogen receptor 2 gene (ESR2). We observed three common haplotypes in ESR1 that were associated with a decreased risk for breast cancer [odds ratio (OR), approximately O.4; 95% confidence interval (CI), 0.2-0.8; P < 0.01]. Another haplotype was associated with an increased risk of breast cancer (OR, 2.1; 95% CI, 1.2-3.8; P < 0.05). A unique risk haplotype was present in approximately 7% of older Ashkenazi Jewish study subjects (OR, 1.7; 95% CI, 1.2-2.4; P < 0.003). We narrowed the ESR1 risk haplotypes to the promoter region and first exon. We define several other haplotypes in Ashkenazi Jews in both ESR1 and ESR2 that may elevate susceptibility to breast cancer. In contrast, we found no association between any PGR variant or haplotype and breast cancer. Genetic epidemiology study replication and functional assays of the haplotypes should permit a better understanding of the role of steroid receptor genetic variants and breast cancer risk.     

CYP19 (aromatase) haplotypes and endometrial cancer risk

Endogenous estrogen exposure is an important determinant of endometrial cancer risk. Aromatase, encoded by CYP19, catalyzes the aromatization of androstenedione and testosterone to estrone and estradiol, respectively. Several common genetic polymorphisms in CYP19 have been identified, including a TCT insertion/deletion and a (TTTA)(n) repeat polymorphism in intron IV as well as a 3'UTR C/T polymorphism. We evaluated these 3 polymorphisms plus an additional 9 noncoding polymorphisms as individual genotypes and predicted haplotypes as risk factors for endometrial cancer using a nested case-control study design. Invasive endometrial cancer cases (n = 222) and matched controls (n = 666) were identified among participants in the Nurses' Health Study who had provided a blood sample in 1989-1990 (n = 32,826). We estimated haplotypes from unphased genotype data spanning > 123 kb of CYP19. Six haplotypes constructed from 10 SNPs were estimated with a frequency > or = 5%. The highest prevalence haplotype (33% among cases, 28% among controls) was significantly associated with endometrial cancer risk (p = 0.03). Loci with variant alleles that comprise the risk haplotype were independently associated with endometrial cancer, with relative risk estimates ranging from 1.68 (95% CI 1.13-2.48) to 2.07 (95% CI 1.33-3.23), comparing variant allele carriers to wild-type homozygotes. We observed significant interactions between menopausal status and 2 of the high-risk loci (p = 0.03 and p < 0.01), with > 2-fold increased risk for variant allele carriers who were postmenopausal but no association between genotype and endometrial cancer among premenopausal women. We evaluated associations between CYP19 haplotypes and plasma steroid hormone levels. The haplotype associated with endometrial cancer risk is also significantly associated with the ratios of estrone to androstenedione and estradiol to testosterone, the products and substrates of the enzyme aromatase, encoded by CYP19. Our data suggest that there is a high-frequency CYP19 haplotype related to higher estrogen to androgen ratios and increased risk of endometrial cancer and that this association may primarily pertain to postmenopausal women.     

A systematic assessment of common genetic variation in CYP11A and risk of breast cancer

CYP11A catalyzes the rate-limiting step in the biosynthesis of sex-steroid hormones. In this study, we employed a systematic approach that involved gene resequencing and a haplotype-based analysis to investigate the relationship between common variation in CYP11A and breast cancer risk among African-Americans, Latinas, Japanese-Americans, Native Hawaiians, and Whites in the Multiethnic Cohort Study. Resequencing in a multiethnic panel of 95 advanced breast cancer cases revealed no common missense variant (> or =5% frequency). Common haplotype patterns were assessed by genotyping 36 densely spaced single nucleotide polymorphisms (SNPs) spanning 67 kb of the CYP11A locus in a multiethnic panel of subjects (n = 349; 1 SNP/1.86 kb on average). We identified one to two regions of strong linkage disequilibrium in these populations. Twelve tagging SNPs were selected to predict the common haplotypes (> or =5% frequency) in these regions with high probability (average R(h)(2) = 0.94) and were examined in a breast cancer case-control study in the Multiethnic Cohort Study (1,615 cases and 1,962 controls). A global test for differences in risk according to common haplotypes over the locus was statistically significant (P = 0.006), as were associations with haplotypes in each block (block 1 global test, P = 0.008; haplotype 1D, effect per haplotype copy, odds ratios, 1.23; 95% confidence interval, 1.03-1.48) and block 2 (global test, P = 0.016; haplotype 2F odds ratios, 1.52; 95% confidence interval, 1.15-2.01). These haplotypes were most common in Japanese-Americans and Native Hawaiians, followed by Whites then Latinas, and were rare in African-Americans (<5% frequency); the haplotype effects on risk across each group were homogeneous. Based on these findings, CYP11A deserves further consideration as a candidate breast cancer susceptibility gene.     

Interaction between CYP19A1 polymorphisms and body mass index in the risk of endometrial cancer in postmenopausal Japanese women

Extra-ovarian sex hormone production plays an important role in endometrial cancer in postmenopausal women. Aromatase, which is encoded by CYP19A1, is a key enzyme in estrogen biosynthesis after menopause. To examine the association between polymorphisms in CYP19A1 and endometrial cancer risk among postmenopausal Japanese women, we conducted a hospital-based case control study in 48 patients with histologically diagnosed incident endometrial cancer and 253 non-cancer control subjects. Information on lifestyle factors was obtained from a self-administered questionnaire. Twenty-five tag SNPs (single nucleotide polymorphisms) of CYP19A1 were examined by TaqMan methods and haplotype blocks were identified by LD analysis. Associations were assessed by an unconditional logistic regression model adjusted for potential confounders. We found no significant association between CYP19A1 genotypes and haplotypes and endometrial cancer risk. However, among women with a BMI (body mass index) >23, significantly positive associations were observed for rs2899473, rs1865803, rs16964220, rs2008691, rs17647707, rs17647719, rs1902586, rs936306, and rs1004982, while negative associations were seen for rs1902585, rs752760 and rs2445768. These showed significant interactions with BMI. Further, of the six haplotype blocks identified, the haplotype CTT of block 1, GATA of block 5 and CA of block 6 showed statistically significant interactions with BMI. These results suggest that CYP19A1 polymorphisms might play an important role in the etiology of endometrial cancer, and that the effect of these polymorphisms might be influenced by BMI.     

CYP1B1 and predisposition to breast cancer in Poland

Background The CYP1B1 gene is a polymorphic member of the P450 gene family and is considered to be a candidate gene for cancers of various types. Objective We inquired whether four SNPs in the CYP1B1 gene, alone or in combination, might be associated with breast cancer risk in Poland. Methods We genotyped 2017 cases of breast cancer and 876 controls, for four SNPs in the CYP1B1 gene. Genotype and haplotype frequencies were compared in cases and controls. Results In combinations of the R48G, A119S and L432V SNPs, four of the eight CYP1B1 haplotypes were more common in controls than in cases and each of these appeared to have a significant protective effect. A large reduction in risk was observed for women who were homozygous for one of these four haplotypes (OR = 0.2; 95%; CI = 0.05–0.5; P = 0.001) compared to women who were homozygous for the most common haplotype. In contrast, women who were homozygous for the GTC haplotype were at increased risk (OR = 1.5; 95%; CI = 1.0–2.1; P = 0.03) compared to women with the most common haplotype. Conclusions The CYP1B1 gene appears to influence breast cancer susceptibility in Poland.     

Haplotypes of the estrogen receptor beta gene and breast cancer risk

Exposure to exogenous (oral contraceptives, postmenopausal hormone therapy) and endogenous (number of ovulatory cycles, adiposity) steroid hormones is associated with breast cancer risk. Breast cancer risk associated with these exposures could hypothetically be modified by genes in the steroid hormone synthesis, metabolism and signaling pathways. Estrogen receptors are the first step along the path of signaling cell growth and development upon stimulation with estrogens. The National Cancer Institute Breast and Prostate Cancer Cohort Consortium has systematically selected haplotype tagging SNPs in genes along the steroid hormone synthesis, metabolism and binding pathways, including the estrogen receptor beta (ESR2) gene. Four htSNPs tag the 6 major (>5% frequency) haplotypes of the ESR2 gene. These polymorphisms have been genotyped in 5,789 breast cancer cases and 7,761 controls nested within the American Cancer Society Cancer Prevention Study II, European Prospective Investigation into Cancer and Nutrition, Multiethnic Cohort, Nurses' Health Study and Women's Health Study cohorts. None of the SNPs were independently associated with breast cancer risk. One haplotype of the ESR2 gene was associated with breast cancer risk before correction for multiple testing (OR 1.17, 95% CI 1.07-1.28, p = 0.0007). This haplotype remained associated with breast cancer risk after adjustment for multiple testing using a permutation procedure. There was no statistically significant heterogeneity in SNP or haplotype odds ratios across cohorts. These data suggest that inherited variants in ESR2 (while possibly conferring a small increased risk of breast cancer) are not associated with appreciable (OR > 1.2) changes in breast cancer risk among Caucasian women.     

A <Emphasis Type="Italic">CYP19</Emphasis> (aromatase) polymorphism is associated with increased premenopausal breast cancer risk

Due to the established association between estrogen levels and breast cancer risk, polymorphic variation in genes regulating estrogen levels is thought to be related to breast cancer risk. Aromatase, the protein product of the CYP19 gene, is involved in the production of endogenous estrogens via androgen conversion. We examined whether polymorphic variation in CYP19 associated with increased breast cancer risk in a population based case-control study. We examined two single nucleotide polymorphisms (SNP), rs1008805 (A/G) and rs730154 (C/T), which have been shown to tag SNPs within two different haplotype blocks in CYP19. Among premenopausal women, the presence of at least one G allele at rs1008805 was significantly associated with an increase in the risk of breast cancer (OR = 1.72 [95% CI, 1.20–2.49]), especially with estrogen and progesterone receptor negative breast cancer (OR = 3.89 [1.74–8.70] and OR = 2.52 [1.26–5.05], respectively). No association was observed among postmenopausal women (OR = 1.06 [0.82–1.36]). There was no significant association between rs730154 and breast cancer, regardless of menopausal status. Our results suggest that premenopausal women carrying the G allele at CYP19 rs1008805 have increased risk of breast cancer. The finding supports the potential role of variation in estrogen biosynthesis genes in premenopausal breast cancer risk.     

A haplotype analysis of HER-2 gene polymorphisms: association with breast cancer risk, HER-2 protein expression in the tumor, and disease recurrence in Korea.

PURPOSE: A single-nucleotide polymorphism (SNP) in codon 655 of HER-2 has been extensively studied with inconclusive results. The purpose of this study was to investigate the association between common variants of HER-2 and breast cancer risk, HER-2 expression, and survival using a haplotype-based stepwise approach. EXPERIMENTAL DESIGN: Twenty-nine SNPs listed in the National Center for Biotechnology Information database were screened to identify novel polymorphisms of HER-2 gene in 90 healthy Korean women. Six of 29 SNPs were polymorphic and had greater than 10% of minor allele frequencies. Using these six SNPs, linkage disequilibrium and haplotype patterns were characterized. We tested association between the haplotypes and breast cancer in a large case-control study (n=1,039 cases and 995 controls). Six-hundred two breast cancer patients with follow-up at least 24 months were analyzed for outcome in relation to haplotype. Expression of HER-2 protein was determined by immunohistochemistry in 1,094 cases of invasive breast cancer. RESULTS: All six SNPs showed a strong linkage disequilibrium pattern and were considered to belong to one haplotype block. Two haplotype-tagging SNPs (I655V and P1170A) for three common haplotypes (>5%) were genotyped in cases and controls. The haplotypes and individual SNPs were not associated with breast cancer risk. In patients with at least one copy of haplotype I (the most common haplotype), HER-2 expression was 1.5 times higher (P = 0.009) and the prognosis was worse (P = 0.032) compared with patients without having that haplotype. CONCLUSIONS: Our results suggest that the currently identified genetic polymorphisms of HER-2 are not associated with an increased risk of breast cancer in Korean women, whereas one haplotype does affect protein expression of the tumor and disease outcome.     

Haplotype analysis of CYP11A1 identifies promoter variants associated with breast cancer risk

The CYP11A1 gene encodes the cholesterol side chain cleavage enzyme that catalyzes the initial and rate-limiting step of steroidogenesis. A large number of epidemiologic studies have implicated the duration and degree of endogenous estrogen exposure in the development of breast cancer in women. Here, we conduct a systematic investigation of the role of genetic variation of the CYP11A1 gene in breast cancer risk in a study of 1193 breast cancer cases and 1310 matched controls from the Shanghai Breast Cancer Study. We characterize the genetic architecture of the CYP11A1 gene in a Chinese study population. We then genotype tagging polymorphisms to capture common variation at the locus for tests of association. Variants designating a haplotype encompassing the gene promoter are significantly associated with both increased expression (P = 1.6e-6) and increased breast cancer risk: heterozygote age-adjusted odds ratio (OR), 1.51 [95% confidence interval (95% CI), 1.19-1.91]; homozygote age-adjusted OR, 2.94 (95% CI, 1.22-7.12), test for trend, P = 5.0e-5. Among genes controlling endogenous estrogen metabolism, CYP11A1 harbors common variants that may influence expression to significantly modify risk of breast cancer.     

Estrogen-related genes and their contribution to racial differences in breast cancer risk

Racial differences in breast cancer risk, including the risks of hormone receptor subtypes of breast cancer, have been previously reported. We evaluated whether variation in genes related to estrogen metabolism (COMT, CYP1A1, CYP1B1, CYP17A1, CYP19A1, ESR1, GSTM1, GSTP1, GSTT1, HSD17B1, SULT1A1, and UGT1A1) contributes to breast cancer risk and/or racial differences in risk within the CARE study, a multi-centered, population-based case-control study of breast cancer. Genetic variation was assessed as single nucleotide polymorphisms (SNPs), haplotypes, and SNP-hormone therapy (HT) interactions within a subset of 1,644 cases and 1,451 controls, including 949 Black women (493 cases and 456 controls), sampled from the CARE study population. No appreciable associations with breast cancer risk were detected for single SNPs or haplotypes in women overall. We detected SNP-HT interactions in women overall within CYP1B1 (rs1800440; p (het)?=?0.003) and within CYP17A1 (rs743572; p (het)?=?0.009) in which never users of HT were at a decreased risk of breast cancer, while ever users were at a non-significant increased risk. When investigated among racial groups, we detected evidence of an SNP-HT interaction with CYP1B1 in White women (p value?=?0.02) and with CYP17A1 in Black women (p value?=?0.04). This analysis suggests that HT use may modify the effect of variation in estrogen-related genes on breast cancer risk, which may affect Black and White women to a different extent.     

A comprehensive examination of CYP19 variation and risk of breast cancer using two haplotype-tagging approaches

Background Numerous studies point to a positive relationship between elevated levels of estrogens and increased risk of breast. Androgens are converted to estrogens by the aromatase enzyme, which is encoded by the CYP19 gene. We recently published resequencing data on 88 polymorphisms identified in that gene. The hypothesis tested in this study was that polymorphisms, or haplotypes, in CYP19 are related to risk of breast cancer. Methods Incident cases of breast cancer were identified through the Division of Medical Oncology at the Mayo Clinic in Rochester, MN. Controls were patients visiting Mayo for an annual medical examination. Controls were frequency matched to cases based on age and region of residence. Tag-polymorphisms were selected using 2 methods: (1) 12 variants using the tag-selection method of Carlson et al. (Am J Hum Genet 74:106–120, 2004); and (2) 12 variants using the haplotype method of Stram (Genet Epidemiol 27:365–374, 2004). Six SNPs were selected by both methods. Genotyping was conducted using SNPStream, TaqMan and RFLP analyses. Logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI). Analyses were conducted among all cases and controls, or stratified by estrogen receptor alpha (ER) status and/or menopausal status. Results A total of 750 cases (60% postmenopausal) and 732 controls (75% postmenopausal) were included. No association with breast cancer risk was detected for individual variants, selected tagSNPs or hap-tag SNPs despite 80% power to detect OR as low as 1.49 for minor allele frequency (MAF) of 0.10. Similarly, stratified analyses based on ER status or menopausal status failed to detect any association with breast cancer risk. Conclusion These analyses suggest that variants of CYP19 are not associated with risk of breast cancer.     

A comprehensive analysis of the androgen receptor gene and risk of breast cancer: results from the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3)

Introduction

Androgens have been hypothesised to influence risk of breast cancer through several possible mechanisms, including their conversion to estradiol or their binding to the oestrogen receptor and/or androgen receptor (AR) in the breast. Here, we report on the results of a large and comprehensive study of the association between genetic variation in the AR gene and risk of breast cancer in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium (BPC3).

Methods

The underlying genetic variation was determined by first sequencing the coding regions of the AR gene in a panel of 95 advanced breast cancer cases. Second, a dense set of markers from the public database was genotyped in a panel of 349 healthy women. The linkage disequilibrium relationships (blocks) across the gene were then identified, and haplotype-tagging single nucleotide polymorphisms (htSNPs) were selected to capture the common genetic variation across the locus. The htSNPs were then genotyped in the nested breast cancer cases and controls from the Cancer Prevention Study II, European Prospective Investigation into Cancer and Nutrition, Multiethnic Cohort, Nurses' Health Study, and Women's Health Study cohorts (5,603 breast cancer cases and 7,480 controls).

Results

We found no association between any genetic variation (SNP, haplotype, or the exon 1 CAG repeat) in the AR gene and risk of breast cancer, nor were any statistical interactions with known breast cancer risk factors observed.

Conclusion

Among postmenopausal Caucasian women, common variants of the AR gene are not associated with risk of breast cancer.     

Haplotypes of estrogen receptor-beta and risk of non-small cell lung cancer in women

Epidemiologic and biologic evidence suggests that lung cancer has different clinical and biological characteristics in women, and that estrogen may contribute to the pathogenesis of non-small cell lung cancer (NSCLC). We investigated whether germline variation in the estrogen receptor-beta gene (ESR2) is associated with lung cancer risk among 1021 female cases and 826 female controls enrolled in the Lung Cancer Susceptibility Study at the Massachusetts General Hospital from 1992 to 2004. Four haplotype-tagging polymorphisms (htSNPs) (rs3020450, rs1256031, rs1256049, rs4986938) captured the common genetic variation across the ESR2 locus from a set of markers culled from healthy controls from a public database and sequencing the coding regions of 95 breast cancer cases. Using the expectation-maximization algorithm, five common haplotypes were resolved (CCGC (43%), TCAT (287%), TCAC (11%), CCAC (9%) and CCAT (6%)). Multivariate logistic regression was used to estimate adjusted odds ratios (OR) and their 95% confidence intervals (95% CI) for individual htSNPs and haplotype scores. Neither the four individual htSNPs nor their resolved haplotypes were associated with lung cancer risk in the entire population, nor in strata defined by parity (yes versus no), age (<50 years versus ≥50 years) or smoking history (current-, former-, never-smokers). Our findings indicate that ESR2 is not associated with risk of lung cancer in women.     

Haplotype analysis of the HSD17B1 gene and risk of breast cancer: a comprehensive approach to multicenter analyses of prospective cohort studies

The 17beta-hydroxysteroid dehydrogenase 1 gene (HSD17B1) encodes 17HSD1, which catalyzes the final step of estradiol biosynthesis. Despite the important role of HSD17B1 in hormone metabolism, few epidemiologic studies of HSD17B1 and breast cancer have been conducted. This study includes 5,370 breast cancer cases and 7,480 matched controls from five large cohorts in the Breast and Prostate Cancer Cohort Consortium. We characterized variation in HSD17B1 by resequencing and dense genotyping a multiethnic sample and identified haplotype-tagging single nucleotide polymorphisms (htSNP) that capture common variation within a 33.3-kb region around HSD17B1. Four htSNPs, including the previously studied SNP rs605059 (S312G), were genotyped to tag five common haplotypes in all cases and controls. Conditional logistic regression was used to estimate odds ratios (OR) for disease. We found no evidence of association between common HSD17B1 haplotypes or htSNPs and overall risk of breast cancer. The OR for each haplotype relative to the most common haplotype ranged from 0.98 to 1.07 (omnibus test for association: X2 = 3.77, P = 0.58, 5 degrees of freedom). When cases were subdivided by estrogen receptor (ER) status, two common haplotypes were associated with ER-negative tumors (test for trend, Ps = 0.0009 and 0.0076; n = 353 cases). HSD17B1 variants that are common in Caucasians are not associated with overall risk of breast cancer; however, there was an association among the subset of ER-negative tumors. Although the probability that these ER-negative findings are false-positive results is high, these findings were consistent across each cohort examined and warrant further study.     

Polymorphisms in the CYP19A1 (aromatase) gene and endometrial cancer risk in Chinese women.

Aromatase, encoded by the CYP19A1 gene, is a key enzyme in estradiol biosynthesis, which catalyzes the conversion of androstenedione and testosterone to estrone and estradiol, respectively. Given the critical role of estrogen in the development of endometrial cancer risk, we evaluated genetic polymorphisms of the CYP19A1 gene, including rs1065779, rs700519, rs28566535, rs752760, and rs1870050, in association with endometrial cancer in a population-based case-control study conducted in Shanghai, China. Genotypes of 1,040 incident endometrial cancer cases and 1,031 frequency-matched controls were included in the study. We applied a logistic regression model to derive adjusted odds ratios (OR) and their 95% confidence intervals (95% CI). Six common haplotypes with a frequency >or=5% were estimated; the highest frequency haplotype was GCACA (27.8% in cases and 26.2% in controls). We observed an inverse association between CYP19A1 haplotype TCATC and endometrial cancer in our population (OR, 0.76; 95% CI, 0.62-0.92). An inverse association was found between endometrial cancer and single nucleotide polymorphism rs1870050 in the promoter region with ORs of 0.81 (95% CI, 0.68-0.97) and 0.58 (95% CI, 0.42-0.80) for the AC and CC genotypes, respectively. We observed a multiplicative interaction between single nucleotide polymorphism rs700519 and body mass index among postmenopausal women (P = 0.01), with stronger associations between rs700519 genotypes and endometrial cancer risk among heavier (body mass index, >or=25) postmenopausal women. In summary, our data show that polymorphisms in the CYP19A1 gene may contribute to endometrial carcinogenesis.     

Associations among mammographic density, circulating sex hormones, and polymorphisms in sex hormone metabolism genes in postmenopausal women.

Mammographic density and serum sex hormone levels are important risk factors for breast cancer, but their associations with one another are unclear. We studied these phenotypes, together with single nucleotide polymorphisms (SNP) in genes related to sex hormone metabolism, in a cross-sectional study of 1,413 postmenopausal women from the European Prospective Investigation into Cancer and Nutrition-Norfolk. All women were >1 year postmenopausal and had not taken hormone replacement therapy for >3 months before sampling. Serum levels of 7 sex hormones [estradiol, testosterone, sex hormone-binding globulin (SHBG), androstenedione, 17-OH-progesterone, estrone, and estrone sulfate] and 15 SNPs in the CYP17, CYP19, EDH17B2, SHBG, COMT, and CYP1B1 genes were studied. Mammograms nearest in time to the blood sampling were identified through the national breast screening program and visually assessed by three radiologists using the Boyd six-category and Wolfe four-category scales. We found a weak positive association between mammographic density and SHBG levels (P = 0.09) but no association with any other hormones. None of the SNPs, including those shown previously to be associated with estradiol or SHBG, showed significant associations with density. We conclude that mammographic density is largely independent of postmenopausal steroid hormone levels, indicating that these risk factors have, to a large extent, an independent etiology and suggesting that they may be independent predictors of breast cancer risk.     

Estrogen receptor alpha haplotypes and breast cancer risk in older Caucasian women

Life-long exposure to estrogen is an established risk factor for breast cancer development. The underlying mechanism has been suggested to be the binding of estrogen-to-estrogen receptors in mammary tissue, which in turn promotes the proliferation and differentiation of breast tissue. Polymorphisms and haplotypes in estrogen receptor alpha (ESR1) have been reportedly associated with breast cancer risk; however, the results are not fully consistent. In this study, we investigated breast cancer risk associated with genotypes and haplotypes resulting from four ESR1 single nucleotide polymorphisms (SNPs), rs746432, rs2234693, rs9340799, and rs1801132. Genotyping has been performed on 393 breast cancer cases and 790 randomly selected controls in 1,183 Caucasian women over age 65 from the Study of Osteoporotic Fractures (SOF). We observed an allelic protective effect for SNP rs9340799 with an estimated odds ratio (OR) of 0.82 (95% CI = 0.68–1.00; P = 0.04) after adjustment for age, BMI and hip BMD. A protective effect of this SNP has been reported before in several different studies. We did not replicate the previously reported C–C–A–G haplotype association to breast cancer—the C–C–A–G haplotype from these SNPs was rare in this study (estimated frequency below 0.001% in cases and controls). No other statistically significant associations were observed between ESR1 haplotypes from the same four SNPs and the risk of breast cancer in older Caucasian women.