A polymorphism in CYP17 and endometrial cancer risk

Among women, the A2 allele of CYP17 has been associated with elevated levels of endogenous steroid hormones; however, it does not seem to be a strong independent risk factor for breast cancer. We assessed the association between the A2 allele of CYP17 and invasive endometrial cancer risk in a case-control study nested within the Nurses' Health Study cohort (cases: n = 184; controls: n = 554). We also evaluated whether endometrial cancer risk associated with CYP17 genotype was modified by established endometrial cancer risk factors. In addition, we further examined the relationship between CYP17 genotype and endogenous plasma steroid hormone levels among postmenopausal controls not using hormone replacement therapy (HRT). Women with the A2 allele of CYP17 were at decreased risk of endometrial cancer (A1/A1 genotype (reference); A1/A2 genotype: odds ratio, 0.89; 95% confidence interval, 0.62-1.27; A2/A2 genotype: odds ratio, 0.43; 95% confidence interval, 0.23-0.80; P trend, 0.02). We also observed the inverse association between the A2 allele and endometrial cancer risk to be stronger among women with a first-degree family history of endometrial and/or colorectal cancer (P for interaction, 0.05). Among 165 controls, we did not observe women with the A2 allele to have significantly elevated levels of any steroid hormone fraction. When these women were combined and analyzed with those women on whom we had previously examined the relationship between CYP17 genotype and circulating hormone levels (total n = 469), only modest associations were observed for the A2/A2 genotype and steroid hormone fractions estrone (versus A1/A1 genotype: +10.9%; P = 0.05) and estradiol (+8.5%; P = 0.17). These data suggest that the A2 allele of CYP17 decreases endometrial cancer risk, but has only weak effects on endogenous estrogen levels among postmenopausal 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.     

HSD17B1 and CYP17 polymorphisms and breast cancer risk among Chinese women in Singapore

Reasons for the recent trend of increasing breast cancer incidence among Chinese and other Asian women are not well understood. Endogenous estrogen levels are strongly associated with breast cancer risk and its determinants include both genetic and lifestyle factors. We conducted a nested case-control study to investigate, within the Singapore Chinese Health Study Cohort, the relationships between polymorphisms in 2 genes involved in estrogen metabolism, CYP17 and HSD17B1, and the risk of breast cancer. For this analysis, 188 incident breast cancer cases and 671 female cohort control subjects were compared. When the HSD17B1 A allele was considered as the "putative high-risk" allele, there was a modest increased risk (adjusted relative risk, RR=1.37, 95% CI=0.90-2.07 for HSD17B1 AA vs. other); this association was statistically significant in analysis restricted to postmenopausal women (RR=1.86, 95% CI=1.14-3.03). There was no significant association between the CYP17 MspAI polymorphism and risk in all subjects (RR=1.06, 95% CI=0.65-1.74 for CYP17 A2A2 vs. CYP17 A1A1) or in postmenopausal women only. When we evaluated breast cancer risk in relation to the joint stratification of CYP17 and HSD17B1 genotypes and according to the combined number of putative high-risk alleles (range, 0-4), we observed an elevated joint effect of the CYP17 and HSD17B1 genes on risk. Women who possessed all 4 putative high-risk alleles of both genes (CYP17 A2A2 and HSD17B1 AA) vs. less displayed a nearly 2-fold increased risk (RR=1.83, 95% CI=0.97-3.44); this finding was statistically significant in postmenopausal women (RR=2.31, 95% CI=1.07-4.98). Risk of breast cancer was similar among women possessing the other genotypes (i.e., less than 4 putative high-risk alleles in the joint CYP17/HSD17B1 genotypes). In addition, the significant increased risk of breast cancer associated with nulliparity or late age at first live birth (age 31 years or older) was largely limited to women with the high-risk CYP17 A1A2/A2A2 or HSD17B1 AA genotypes (RR=2.41, 95% CI=1.56-3.72; RR=4.39, 95% CI=1.71-11.30, respectively). The latter gene-parity effects were especially pronounced in postmenopausal women.     

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.     

Estrogen Receptor β lpar;ESR2) Polymorphisms and Endometrial Cancer (United States)

OBJECTIVE: We hypothesized that variations in the ESR2 gene may influence estrogen exposure in the uterus and thus influence endometrial cancer risk. We validated and screened for variants in the ESR2 gene and examined whether they are associated with endometrial cancer risk. METHODS: We resequenced the promoter and coding regions of the ESR2 gene in 24 endometrial cancer cases, and genotyped the validated/discovered SNPs and intronic dinucleotide CA repeat in a nested case-control study of endometrial cancer (cases = 222, controls = 666) in the Nurses' Health Study (NHS). We also explored statistical interaction between ESR2 genotypes and body mass index (BMI) or hormone replacement therapy (HRT) use among postmenopausal women and cancer risk. RESULTS: Two SNPs were validated [rs1256049 in exon 5 (allelic frequencies = 98% G, 2% A) and rs1271572 in the promoter region (allelic frequencies = 60% G, 40% T)]. After adjusting for potential confounders, we observed no association between ESR2 gene polymorphisms and endometrial cancer risk [rs1256049 (OR = 1.2; 95%CI: 0.7-2.3), rs1271572 (OR = 0.8; 95%CI: 0.5-1.1) and CA repeat (22 repeat allele versus > or = 22 repeat allele, OR = 1.1; 95%CI: 0.7-1.7)]. We also did not observe any significant effect modification of the ESR2 polymorphisms by BMI or HRT use among postmenopausal women. CONCLUSION: Our results indicate that ESR2 polymorphisms may not be associated with endometrial cancer risk.     

Amplification of HSD17B1 has prognostic significance in postmenopausal breast cancer

In situ synthesis of estrogens is believed to be of great importance for the progression of breast cancer. In postmenopausal women most estrogens are synthesized in peripheral hormone-target tissues from circulating precursor steroids, by the enzymes involved in formation of active estrogens. One of the enzymes involved in this process is 17β-hydroxysteroid dehydrogenase (17β-HSD) type 1. This enzyme catalyzes the interconversion of estrone (E1) to the biologically more potent estradiol (E2). The gene coding for 17β-HSD type 1 (HSD17B1) is located at 17q12-21. The aim of this study was to investigate altered gene copy number of HSD17B1 in breast cancer. We used real-time PCR and examined 387 postmenopausal breast tumors for amplification of HSD17B1, and if an increased mRNA level of this enzyme is associated with amplification of the gene. We also investigated whether amplification of HSD17B1 has a prognostic value. There was a significant correlation between gene copy number of HSD17B1 and mRNA expression level (P = 0.00002). ER-positive patients with amplification of HSD17B1 showed lower breast cancer survival than patients without amplification (P = 0.025). Among ER-negative patients there was no significant correlation between increased gene copy number of HSD17B1 and prognosis. Furthermore, we found that amplification of the gene had prognostic significance in multivariate analysis adjusting for other clinicopathological variables.     

Association of CYP1B1 polymorphisms and breast cancer risk.

Cytochrome P450 1B1 catalyzes the conversion of 17-beta-estradiol (E2) to thecatechol estrogen metabolites 2-OH-E2 and 4-OH-E2 that have been postulated to be involved in mammary carcinogenesis. We sought to determine whether two common functional polymorphisms in Cytochrome P450 1B1, V432L (m1), and A453S (m2) are related to breast cancer risk. Using a nested case control design within the Nurses' Health Study cohort, we genotyped 453 cases and 456 controls and found no significant association between m1[val/leu and leu/leu versus val/val, OR = 1 (CI, 0.72-1.45)] or m2 [asn/ser and ser/ser versus asn/asn, OR = 0.8 (CI, 0.62-1.15)] and breast cancer risk. However, we did observe women with the Val/Val (m1) genotype to have a higher percentage of estrogen receptor-positive tumors (P = 0.03). We did not observe any correlation with the m2 genotypes and estrogen receptor status. The association of the m1 and m2 genotypes on plasma hormone levels in postmenopausal control women not using hormone replacement therapy was also evaluated. Carriers of the m1 leu and m2 ser alleles had modestly higher estradiol levels but similar estrone and estrone sulfate levels. The results presented do not support a strong association between m1 and m2 and the risk of breast cancer.     

Amplification of HSD17B1 and ERBB2 in primary breast cancer

Estrogens play a crucial role in the development of breast cancer. Estradiol can be produced in the breast tissue in situ, and one of the enzymes involved in this process is 17beta-hydroxysteriod dehydrogenase (17beta-HSD) type 1 that catalyzes the interconversion of estrone (E1) to the biologically more potent estradiol (E2). The gene coding for 17beta-HSD type 1 (HSD17B1) is located at 17q12-21, close to the more studied ERBB2 and BRCA1. The aim of this study was to investigate if HSD17B1 shows an altered gene copy number in breast cancer. We used real-time PCR and examined 221 postmenopausal breast tumors for amplification of HSD17B1 and ERBB2. In all, 32 tumors (14.5%) showed amplification of HSD17B1 and 21% were amplified for ERBB2. Amplification of the two genes was correlated (P=0.00078) and in 14 tumors (44%) with amplification of HSD17B1, ERBB2 was co amplified. The patients with amplification in at least one of the genes had a significantly worse outcome than patients without (P=0.0059). For estrogen receptor (ER)-positive patients who received adjuvant tamoxifen, amplification of HSD17B1 was related to decreased breast cancer survival (P=0.017), whereas amplification of ERRB2 was not. Amplification of HSD17B1 might be an indicator of adverse prognosis among ER-positive patients, and possibly a mechanism for decreased benefit from tamoxifen treatment.     

The impact of common genetic variations in genes of the sex hormone metabolic pathways on steroid hormone levels and prostate cancer aggressiveness

Our previous work suggested that there was no significant association between plasma steroid hormone levels and prostate cancer tumor grade at diagnosis. In this study, we systematically tested the hypothesis that inherited variations in the androgen and estrogen metabolic pathways may be associated with plasma levels of steroid hormones, or prostate cancer aggressiveness at diagnosis. Plasma hormone levels including total testosterone, total estradiol, and sex hormone-binding globulin were measured in a cohort of 508 patients identified with localized prostate cancer. D'Amico risk classification at diagnosis was also determined. A total of 143 single-nucleotide polymorphisms (SNPs) from 30 genes that are involved in androgen and estrogen metabolism were selected for analysis. The global association of genotypes with plasma hormone levels and prostate cancer aggressiveness (D'Amico risk classification) was statistically analyzed. Q values were estimated to account for multiple testing. We observed significant associations between plasma testosterone level and SNPs in HSD17B2 (rs1424151), HSD17B3 (rs9409407), and HSD17B1 (rs12602084), with P values of 0.002, 0.006, and 0.006, respectively. We also observed borderline significant associations between prostate aggressiveness at diagnosis and SNPs in AKR1C1 (rs11252845; P = 0.005), UGT2B15 (rs2045100; P = 0.007), and HSD17B12 (rs7932905; P = 0.008). No individual SNP was associated with both clinical variables. Genetic variants of genes in hormone metabolic pathways may influence plasma androgen levels or prostate cancer aggressiveness. However, it seems that the inherited variations affecting plasma hormone levels differ from those affecting disease aggressiveness.     

HSD17B1 genetic variants and hormone receptor-defined breast cancer

HSD17B1 is an important candidate gene in breast cancer via its role in converting estrone to estradiol. A nonsynonymous G-to-A transition (rs605059) and an intronic C-to-A (rs676387) single-nucleotide polymorphism, which captured most common variation in HSD17B1, were evaluated in several breast cancer studies with inconclusive results. We followed up these findings in the Polish Breast Cancer Study (1,995 cases; 2,296 controls) and the British Studies of Epidemiology and Risk Factors in Cancer Heredity study (4,470 cases; 4,560 controls). Meta-analyses of published data and our own were also conducted among Caucasian women. Consistent with previous reports, we found little to no association with overall risk for heterozygotes and minor allele homozygotes compared with major allele homozygotes for rs605059 [summary odds ratios (95% confidence intervals), 0.93 (0.87-0.99) for GA and 0.96 (0.85-1.08), based on 11,762 cases and 14,329 controls from 10 studies] and for rs676387 [summary odds ratios (95% confidence intervals), 1.04 (0.97-1.12) and 1.12 (0.99-1.27), based on analyses of 11,074 cases and 13,605 controls from 8 studies]. Data from the Polish [n=586 estrogen receptor-negative (ER-) cases] and British (n=407) studies did not support the previous findings that ER- tumors were inversely associated with rs676387 AA genotype and positively associated with rs605059 GG genotype, based on subanalyses in 5 prospective cohorts with 354 ER- cases. In conclusion, it is unlikely that common genetic variation in HSD17B1 is associated with a moderate modulation in breast cancer risk overall; however, we cannot exclude the possibility of a very weak effect. Associations between HSD17B1 genotypes and risk for ER- breast cancer were inconsistent across studies and should be studied further.     

The relationship between a polymorphism in CYP17 with plasma hormone levels and breast cancer

The A2 allele of CYP17 has been associated with polycystic ovarian syndrome, elevated levels of certain steroid hormones in premenopausal women, and increased breast cancer risk. We prospectively assessed the association between the A2 allele of CYP17 and breast cancer risk in a case-control study nested within the Nurses' Health Study cohort. We also evaluated associations between this CYP17 genotype and plasma steroid hormone levels among postmenopausal controls not using hormone replacement to assess the biological significance of this genetic variant. Women with the A2 allele were not at an increased risk of incident breast cancer [OR (odds ratio), 0.85; 95% CI (confidence interval), 0.65-1.12] or advanced breast cancer (OR, 0.84; 95% CI, 0.54-1.32). We did observe evidence that the inverse association of late age at menarche with breast cancer may be modified by the CYP17 A2 allele. The protective effect of later age at menarche was only observed among women without the A2 allele (A1/A1 genotype: for age at menarche > or =13 versus <13; OR, 0.57; 95% CI, 0.36-0.90; A1/A2 and A2/A2 genotypes: OR, 1.05; 95% CI, 0.76-1.45; P for interaction = 0.07). Among controls, we found women with the A2/A2 genotype to have elevated levels of estrone (+14.3%, P = 0.01), estradiol (+13.8%, P = 0.08), testosterone (+8.6%, P = 0.34), androstenedione (+17.1%, P = 0.06), dehydroepiandrosterone (+14.4%, P = 0.02), and dehydroepiandrosterone sulfate (+7.2%, P = 0.26) compared with women with the A1/A1 genotype. These data suggest that the A2 allele of CYP17 modifies endogenous hormone levels, but is not a strong independent risk factor for breast cancer.     

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.     

17beta-hydroxysteroid dehydrogenase 14 affects estradiol levels in breast cancer cells and is a prognostic marker in estrogen receptor-positive breast cancer

Estrogens have an important role in the progression of breast cancer. The 17beta-hydroxysteroid dehydrogenase (17HSD) family has been identified to be of significance in hormone-dependent tissues. 17HSD1 and 17HSD2 are the main 17HSD enzymes involved in breast cancer investigated this far, but it is possible that other hormone-regulating enzymes have a similar role. 17HSD5 and 17HSD12 are associated with sex steroid metabolism, and 17HSD14 is a newly discovered enzyme that may be involved in the estrogen balance. The mRNA expression of 17HSD5, 17HSD12, and 17HSD14 were analyzed in 131 breast cancer specimens by semiquantitative real-time PCR. The results were compared with recurrence-free survival and breast cancer-specific survival of the patients. The breast cancer cell lines MCF7, SKBR3, and ZR75-1 were transiently transfected with 17HSD14 to investigate any possible effect on estradiol levels. We found that high 17HSD5 was related to significantly higher risk of late relapse in estrogen receptor (ER)-positive patients remaining recurrence-free later than 5 years after diagnosis (P = 0.02). No relation to 17HSD12 expression was found, indicating that 17HSD12 is of minor importance in breast cancer. Patients with ER-positive tumors with high expression levels of 17HSD14 showed a significantly better prognosis about recurrence-free survival (P = 0.008) as well as breast cancer-specific survival (P = 0.01), confirmed by multivariate analysis (P = 0.04). Transfection of 17HSD14 in the human breast cancer cells MCF7 and SKBR3 significantly decreased the levels of estradiol, presenting an effect of high expression levels of the enzyme.     

Breast cancer susceptibility polymorphisms and endometrial cancer risk: a Collaborative Endometrial Cancer Study

Recent large--scale association studies, both of genome-wide and candidate gene design, have revealed several single-nucleotide polymorphisms (SNPs) which are significantly associated with risk of developing breast cancer. As both breast and endometrial cancers are considered to be hormonally driven and share multiple risk factors, we investigated whether breast cancer risk alleles are also associated with endometrial cancer risk. We genotyped nine breast cancer risk SNPs in up to 4188 endometrial cases and 11,928 controls, from between three and seven Caucasian populations. None of the tested SNPs showed significant evidence of association with risk of endometrial cancer.     

Cytochrome P450 1B1 and catechol-O-methyltransferase polymorphisms and endometrial cancer susceptibility

Estrogen production and metabolism play critical roles in the development and pathogenesis of endometrial carcinoma. Cytochrome P450 1B1 (CYP1B1) and catechol-O-methyltransferase (COMT) are two key enzymes in the estrogen metabolism pathway that result in the hydroxylation and conjugation of estradiol, respectively. We evaluated the association between the CYP1B1 Leu432Val and CYP1B1 Asn453Ser polymorphisms and the COMT Val158Met polymorphism and invasive endometrial cancer risk in a case-control study nested within the Nurses' Health Study (n = 222 cases, 666 controls). We also evaluated whether body mass index (BMI), postmenopausal hormone (PMH) use and cigarette smoking modified the associations of the CYP1B1 and COMT genotypes and endometrial cancer risk. Conditional logistic regression was used to calculate the adjusted odds ratios (OR) and 95% confidence intervals (CI) to quantify the risk of endometrial cancer among subjects who had at least one variant allele compared with subjects who were homozygous for the wild-type allele. Carriers of the CYP1B1 Ser allele had a statistically significant decreased risk of endometrial cancer (OR = 0.62; 95% CI, 0.42-0.91); there was no significant association between the CYP1B1 Val allele and endometrial cancer risk (OR = 1.10; 95% CI, 0.75-1.59). Compared with the COMT Val/Val wildtype genotype, the adjusted OR of endometrial cancer for women with the COMT Val/Met or COMT Met/Met genotype was 0.96 (95% CI, 0.65-1.43). We did not observe any effect modification by BMI, PMH use and cigarette smoking for the CYP1B1 and COMT genotypes. Our data suggest, that the CYP1B1 Ser allele may decrease endometrial cancer risk by altering the production of catechol estrogens. However, further studies are warranted to elucidate the role of CYP1B1 in endometrial cancer.     

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.     

Inhibition of progesterone-induced VEGF production in human breast cancer cells by the pure antiestrogen ICI 182,780

Initiation and/or promotion of endometrial cancer is known to be associated with estrogen and androgen (androstenedione) excess as well as with hyperinsulinemia/insulin resistance. It is possible that some allelic polymorphisms of the genes involved in steroidogenesis or steroid metabolism contribute to endometrial cancer susceptibility. We evaluated here the role of CYP17 biallelic (MspAI) polymorphism in 114 endometrial cancer patients compared with 182 healthy women. Our data demonstrated that A2/A2 CYP17 genotype, considered on the basis of initial breast cancer studies as 'unfavorable', was under-represented in endometrial cancer group (odds ratio 0.48, 95% confidence interval 0.25-0.89) that confirmed results of two other recent investigations. Carriers of this genotype were characterized by having lower blood insulin (by 120 min of oral glucose tolerance test 36.7+/-3.9 microU/ml vs. 90.4+/-16.7 microU/ml in postmenopausal women with A1/A1 genotype, P=0.04) and C-peptide levels (after night fasting 575.2+/-78.3 pg/ml vs. 978.9+/-115.7 pg/ml, respectively, P=0.04). No significant difference was found between the mean concentrations of testosterone, dehydroepiandrosterone sulfate and estradiol concentrations in patients-carriers of separate CYP17 genotypes. Thus, CYP17 polymorphism (namely, carrying the 'normal' A1/A1 genotype) might be one of the risk factors for endometrial cancer development. A1/A1 CYP17 variant may be associated with untraditional (non-steroidal) pathways that calls for corresponding preventive measures in high-risk groups.     

Estrogen pathway polymorphisms and mammographic density

Elevated mammographic density (MD) is strongly associated with breast cancer risk and the estrogen pathway has been proposed as a potential mechanism for this association. It has been repeatedly observed that several established estrogen-related factors associated with breast cancer risk, such as parity and hormone replacement therapy, are also associated with MD. However, the association of circulating estrogen levels (known to be strongly positively associated with breast cancer risk) with MD has so far been inconsistent. Since MD is highly heritable, single nucleotide polymorphisms (SNPs) in genes involved in the estrogen pathway and their relation with MD could provide information that would help understand the link between MD and breast cancer risk. This review of 18 studies describes the relation of SNPs located in genes of the estrogen pathway (genes coding for hydroxysteroid dehydrogenases (HSD3B1, HSD17B1), cytochrome P450 (CYP1A1, CYP1A2, CYP17A1, CYP19A1 and CYP1B1), catechol-O-methyltransferase (COMT), uridine diphospho-glucuronosyltransferase (UGT1A1), sulfotransferases (SULT1A1, SULT1E1) and for estrogen receptors alpha and beta (ESR1, ESR2)) with MD. Most of the SNPs evaluated showed no association with MD when analyses were performed on overall study population. However, when this relation was assessed within strata based on estrogen-related factors, a few SNPs (HSD17B1 (rs2010750, rs598126 and rs676387), COMT (rs4680), UGT1A1 (rs8175347) and ESR1 (rs9340799)) seemed to be related to MD in the same direction of their associations with breast cancer risk. Since such data are very limited, additional research including stratified analyses by factors related to estrogen are needed to validate these findings.     

Cytochrome P450 1B1 gene polymorphisms and postmenopausal breast cancer risk

Cytochrome P450 1B1 (CYP1B1) is active in the metabolism of estrogens to reactive catechols and of different procarcinogens. Several studies have investigated the relationship between genetic polymorphisms of CYP1B1 and breast cancer risk, however, with inconsistent results. We investigated such an association in postmenopausal Swedish women, with special emphasis on long-term menopausal hormone users, in a large population-based case-control study. We genotyped 1521 cases and 1498 controls for the CYP1B1 single nucleotide polymorphisms (SNPs) m2, m3 and m4 and reconstructed haplotypes. The frequencies of CYP1B1*1, CYP1B1*2, CYP1B1*3 and CYP1B1*4 alleles among controls were estimated to be 0.087, 0.293, 0.444 and 0.175, respectively. It thus appeared that very few haplotypes contained combinations of SNPs at two or three loci and that single SNP genotype data effectively represented haplotypes. Odds ratios (OR) and 95% confidence intervals (CI) were calculated from logistic regression models. We found no overall association between any CYP1B1 genotype and breast cancer risk. The data indicated, however, that women who had used menopausal hormones for 4 years or longer, and carried the CYP1B1*3/*3 genotype may be at increased risk of breast cancer, OR 2.0 (95% CI 1.1-3.5), compared with long-term users without this genotype. We explored the effect of CYP1B1 genotype on breast cancer risk in subgroups defined by body mass index, family history, smoking and catechol-O-methyl transferase genotype, but found no convincing evidence for interaction. In summary, our results strongly indicate that the studied CYP1B1 gene polymorphisms do not influence breast cancer risk overall but may modify the risk after long-term menopausal hormone use.