Genetic variants of CYP19 (aromatase) and breast cancer risk

Association of CYP17, CYP19, CYP1B1, and COMT Polymorphisms with Serum and Urinary Sex Hormone Concentrations in Postmenopausal Women

Women with high circulating estrogen concentrations have an increased risk of breast cancer; thus, it is important to understand factors, including genetic variability, that influence estrogen concentrations. Several genetic polymorphisms that may influence sex hormone concentrations have been identified, including CYP17 (5'-untranslated region T-->C), CYP19 [intron 4 (TTTA)(n = 7-13) and a 3-bp deletion (-3)], CYP1B1 (Val(432)Leu), and COMT (Val(108/158)Met). We examined associations between these polymorphisms and serum concentrations of estrogens, androgens, and sex hormone-binding globulin and urinary concentrations of 2- and 16alpha-hydroxyestrone in 171 postmenopausal women, using data from the prerandomization visit of an exercise clinical trial. Participants were sedentary, not taking hormone therapy, and had a body mass index >24.0. Compared with noncarriers, women carrying two CYP19 7r(-3) alleles had 26% lower estrone (P < 0.001), 19% lower estradiol (P = 0.01), 23% lower free estradiol (P = 0.01), and 22% higher sex hormone-binding globulin concentrations (P = 0.06). Compared with noncarriers, women carrying at least one CYP19 8r allele had 20% higher estrone (P = 0.003), 18% higher estradiol (P = 0.02), and 21% higher free estradiol concentrations (P = 0.01). Women with the COMT Met/Met genotype had 28% higher 2-hydroxyestrone (P = 0.08) and 31% higher 16alpha-hydroxyestrone concentrations (P = 0.02), compared with Val/Val women. Few associations were found for CYP17 and CYP1B1 or with serum androgen concentrations. This study provides further evidence that genetic variation may appreciably alter sex hormone concentrations in postmenopausal women not taking hormone therapy.

Estrogen-metabolizing gene polymorphisms in the assessment of breast carcinoma risk and fibroadenoma risk in Caucasian women

BACKGROUND

Genes encoding enzymes involved in estrogen metabolism are held to be candidate genes for associations with breast disease. In these candidate genes, no critical combination of single-nucleotide polymorphisms (SNPs) for assessing breast carcinoma risk has been reported to date.

METHODS

In a large case-control study, the authors investigated 10 estrogen-metabolizing SNPs in 396 patients with breast carcinoma, 154 patients with fibroadenoma, and 1936 healthy control patients without breast carcinoma in their personal history. The following 10 SNPs were analyzed using sequencing-on-chip technology via a solid-phase polymerase chain reaction assay performed on oligonucleotide microarrays: catechol-O-methyltransferase Val158Met G-->A, 17-beta-hydroxysteroid dehydrogenase type 1 vIV A-->C, cytochrome P-450 (CYP) family 17 A2 allele T-->C, CYP1A1-1 MspI restriction fragment length polymorphism (RFLP) T-->C, CYP1A1-2 Ile462Val A-->G, CYP19-1 Trp39Arg T-->C, CYP19-2 Arg264Cys C-->T, CYP19-3 Cys1558Thr C-->T, steroid-5-alpha reductase type 2 Val89Leu G-->C, and vitamin D receptor BsmI RFLP. A total of 21,350 genotypes were evaluated. Associations and two-way interaction models were calculated using stepwise logistic regression.

RESULTS

In a multiple model, CYP1A1-1 (P = 0.004) and CYP1A1-2 (P = 0.03) were found to be associated with significantly decreased and increased risks of breast carcinoma, respectively. When two-way interactions involving investigated SNPs were ascertained, no significant interactions among polymorphisms were noted. Comparison of patients with fibroadenoma with control patients revealed significantly increased and decreased risks of fibroadenoma when the mutant alleles of CYP17 (P = 0.02) and CYP1A1-1 (P = 0.04), respectively, were present.

CONCLUSIONS

The authors obtained the first SNP data indicating that CYP17 and CYP1A1-1 play a role in the pathogenesis of fibroadenoma. Although the authors were not able to develop interaction models involving SNPs, they did provide evidence that CYP1A1 is a low-penetrance susceptibility gene with respect to breast carcinoma in a large series of Caucasian women.

Intratumoural mRNA expression of genes from the oestradiol metabolic pathway and clinical and histopathological parameters of breast cancer

Introduction

The expression of the oestrogen receptor (ER) is one of the more important clinical parameters of breast cancer. However, the relationship between the ER and its ligand, oestradiol, and the enzymes that synthesise it are not well understood. The expression of mRNA transcripts of members of the oestradiol metabolic and signalling pathways including the ER was studied in detail.

Method

mRNA transcripts for aromatase (CYP19), 17-β-hydroxysteroid dehydrogenase I, 17-β-hydroxysteroid dehydrogenase II, ERα, ERβ, steroid sulfatase (STS), oestradiol sulfotransferase (EST), cyclin D₁ (CYCLD1) and ERBB2 were fluorometrically quantified by competitive RT-PCR using an internal standard in 155 breast carcinomas. In addition, the transcripts of CYP19 were analysed for alternative splicing/usage of exon 1 and an alternative poly A tail.

Results

A great variability of expression was observed, ranging from 0 to 2376 amol/mg RNA. The highest levels were observed for STS and EST, and the lowest levels (close to zero) were observed for the 17-β-hydroxysteroid dehydrogenase isoenzymes. The levels of mRNA expression were analysed with respect to clinical and histopathological parameters as well as for disease-free survival. High correlation of the mRNA expression of STS, EST and 17-β-hydroxysteroid dehydrogenase in the tumours suggested a common regulation, possibly by their common metabolite (oestradiol). Hierarchical clustering analysis in the 155 patients resulted in two main clusters, representing the ERα-negative and ERα-positive breast cancer cases. The mRNA expression of the oestradiol metabolising enzymes did not follow the expression of the ERα in all cases, leading to the formation of several subclasses of tumours. Patients with no expression of CYP19 and patients with high levels of expression of STS had significantly shorter disease-free survival time (P > 0.0005 and P < 0.03, respectively). Expression of ERβ mRNA was a better prognostic factor than that of ERα in this material.

Conclusion

Our results indicate the importance of CYP19 and the enzymes regulating the oestrone sulfate metabolism as factors of disease-free survival in breast cancer, in addition to the well-known factors ER and ERBB2.

Polymorphisms of estrogen synthesizing and metabolizing genes and breast cancer risk in Japanese women

Recent success of chemoprevention with tamoxifen has opened a new era wherein prevention of breast cancer is much more emphasized than treatment of established breast cancer. Since tamoxifen has been shown to reduce the risk of estrogen receptor (ER)-positive, but not ER-negative, breast cancer in the chemoprevention trial (P-1), it seems to be important to develop risk factors for ER-positive breast cancer in order to select the candidates for chemoprevention more appropriately. Estrogens, the major risk factors for breast cancer, are speculated to affect breast cancer risk through ER, thus, genetic polymorphisms of the genes involved in the estrogens biosynthesis and metabolism are expected as risk factors for ER-positive breast cancer. Significance of polymorphisms of the genes involved in estrogens biosynthesis (CYP17, CYP19) and metabolism (CYP1A1, CYP1B1, COMT) in modulating the susceptibility to breast cancer is reviewed. The ethnic difference of the variant allele frequencies between Caucasian women and Asian women is also discussed.

Retroviral insertional mutagenesis: tagging cancer pathways

Slow transforming retroviruses, such as the Moloney murine leukemia virus (M-MuLV), induce tumors upon infection of a host after a relatively long latency period. The underlying mechanism leading to cell transformation is the activation of proto-oncogenes or inactivation of tumor suppressor genes as a consequence of proviral insertions into the host genome. Cells carrying proviral insertions that confer a selective advantage will preferentially grow out. This means that proviral insertions mark genes contributing to tumorigenesis, as was demonstrated by the identification of numerous proto-oncogenes in retrovirally induced tumors in the past. Since cancer is a complex multistep process, the proviral insertions in one clone of tumor cells also represent oncogenic events that cooperate in tumorigenesis. Novel advances, such as the launch of the complete mouse genome, high-throughput isolation of proviral flanking sequences, and genetically modified animals have revolutionized proviral tagging into an elegant and efficient approach to identify signaling pathways that collaborate in cancer.

Genetic polymorphisms of estrogen receptor alpha,CYP19, catechol-O-methyltransferase are associated with familial prostate carcinoma risk in a Japanese population

BACKGROUND

Estrogen is one of the crucial hormones participating in the proliferation and carcinogenesis of the prostate glands. Genetic polymorphisms in the estrogen metabolism pathway might be involved in the risk of prostate carcinoma development. The authors evaluated the association between genetic polymorphisms in estrogen-related enzymes and receptors and the risk of developing familial prostate carcinoma.

METHODS

In the current study, 101 cases with prostate carcinoma whose first-degree relatives had prostate carcinoma and 114 healthy age and residence-matched male controls were enrolled. The genotypes of estrogen receptor (ER) alpha, aromatase (CYP19), and catechol-O-methyltransferase (COMT) genes were analyzed.

RESULTS

For single polymorphisms, a significant association of the T/T genotype of the PvuII site in the ER alpha gene (odds ratio [OR], 3.44; 95% confidence interval [CI], 1.97-5.99; P = 0.0028), and the C/T and T/T genotypes of the CYP19 gene (OR, 1.77; 95% CI, 1.02-3.09; P = 0.037) with prostate carcinoma risk, was observed. The G/A genotype of the COMT gene showed a weak tendency toward increased risk (OR, 1.48; 95% CI, 0.85-2.57; P = 0.18). Stratification of cases according to clinical stage and pathologic grade showed that the C/T and T/T genotypes of the CYP19 gene were associated significantly with high-grade carcinoma (OR, 2.59; 95% CI, 1.47-4.46; P = 0.048). The number of high-risk genotypes (the T/T in ER alpha, the C/T and T/T in CYP19, and the G/A in COMT) significantly increased the risk of developing prostate carcinoma (2 genotypes: OR, 3.00; 95% CI, 1.72-5.23; P = 0.008; 3 genotypes: OR, 6.30; 95% CI, 3.61-10.99; P = 0.002).

CONCLUSIONS

Genetic polymorphisms of genes in the estrogen metabolism pathway were associated significantly with familial prostate carcinoma risk. Single nucleotide polymorphisms of low-penetrance genes are targets for understanding the genetic susceptibility of familial prostate carcinoma.

Neurological effects of aromatase deficiency in the mouse

In the brain, the conversion from androgen into estrogen is an important process for the differentiation of the brain function in male rodents. The aromatase is expressed in some nucleus of the brain. To assess the functional significance of the aromatase gene in development and activation of sex-specific behavior, we analyzed behavioral phenotypes of the aromatase knockout (ArKO) male mice. ArKO males obviously decreased their fertility and showed deficits in male sexual behavior including mount, intromission and ejaculation. Noncontact penile erection was not significantly affected by defect of the aromatase gene. A reduction of aggressive behavior against male intruders was also observed in ArKO males, while they tend to exhibit aggression toward estrous females during male copulatory tests. Moreover, the infanticide toward the pups was observed in the ArKO males, whereas characteristic parental behavior, but not infanticide was observed in wild-type males. These results indicate that aromatase gene expression is a critical step not only for motivational and consummatory aspects of male sexual behavior, but also for aggressive and parental behaviors in male mice.

Molecular epidemiology of sporadic breast cancer. The role of polymorphic genes involved in oestrogen biosynthesis and metabolism

The major known risk factors for female breast cancer are associated with prolonged exposure to increased levels of oestrogen. The predominant theory relates to effects of oestrogen on cell growth. Enhanced cell proliferation, induced either by endogenous or exogenous oestrogens, increases the number of cell divisions and thereby the possibility for mutation. However, current evidence also supports a role for oxidative metabolites, in particular catechol oestrogens, in the initiation of breast cancer. As observed in drug and chemical metabolism, there is considerable interindividual variability (polymorphism) in the conjugation pathways of both oestrogen and catechol oestrogens. These person-to-person differences, which are attributed to polymorphisms in the genes encoding for the respective enzymes, might define subpopulations of women with higher lifetime exposure to hormone-dependent growth promotion, or to cellular damage from particular oestrogens and/or oestrogen metabolites. Such variation could explain a portion of the cancer susceptibility associated with reproductive effects and hormone exposure. In this paper the potential role of polymorphic genes encoding for enzymes involved in oestrogen biosynthesis (CYP17, CYP19, and 17beta-HSD) and conversion of the oestrogen metabolites and their by-products (COMT, CYP1A1, CYP1B1, GSTM1, GSTM3, GSTP1, GSTT1 and MnSOD) in modulating individual susceptibility to breast cancer are reviewed. Although some of these low-penetrance genes appeared as good candidates for risk factors in the etiology of sporadic breast cancer, better designed and considerably larger studies than the majority of the studies conducted so far are evidently needed before any firm conclusions can be drawn.

Bioavailable estradiol and an aromatase gene polymorphism are determinants of bone mineral density changes in men over 70 years of age

The question of whether and to what extent the sex steroid deficiency in elderly men contributes to the pathogenesis of bone loss has not been fully explored. The aim of the present study was to assess the association of serum bioavailable (Bio) estradiol (E(2)) with the evolution of bone mineral density (BMD) in 214 community-dwelling men aged 71-86 yr as well as the possible modulation of estrogen effects by a tetranucleotide (TTTA)(n)-repeat polymorphism of the CYP19 gene, which encodes the aromatase enzyme that converts androgens into estrogens. BMD was measured at yearly intervals over a period of 4 yr using dual x-ray absorptiometry. Fasting blood was analyzed at baseline for testosterone (T), E(2), and SHBG; the respective bioavailable fractions, BioT and BioE(2), were calculated. Serum BioE(2) was associated with baseline BMD at different assessed skeletal sites, with correlation coefficients ranging between 0.23 and 0.37 (P < 0.001). Estimated annual percentage change of BMD (%BMD) was -0.39% [95% confidence index (CI), -0.56, -0.22] at the total hip, -0.04% (95% CI, -0.29, 0.21) at the femoral neck, and -0.37% (95% CI, -0.45, -0.29) at the total distal forearm. Higher circulating BioE(2) levels were associated with less bone loss at the forearm and the hip (P < 0.05). The CYP19 gene (TTTA)(n)-repeat length (determined by fragment analysis) was not associated with baseline BMD in the total group of elderly men. However, a significant association was observed between the CYP19 genotype and BMD change at the distal forearm; the highest bone loss was observed in subjects homozygotic for the shortest observed allele length of (TTTA)(7)-repeats (P < 0.02). The CYP19 (TTTA)(n)-repeat length was not associated with either baseline BioE(2) or the BioT/BioE(2) ratio. In multiple linear regression models, the CYP19 genotype and serum BioE(2) were determinants of %BMD change at the forearm (P < 0.05). No significant contribution of BioT to %BMD change was evident. As to fracture risk, the allele containing the shortest (TTTA)(n)-repeat length was more represented not only in elderly men with a positive personal fracture history (Pearson's chi(2) test = 4.03; df = 1; P = 0.05) but also in study subjects with a positive fracture history in their first-degree relatives (Pearson's chi(2) test = 6.48; df = 1; P = 0.01). In conclusion, the results of this prospective observational study support the view that BioE(2) is a determinant of bone density changes in elderly men and, furthermore, provide an indication that the aromatase enzyme may exert a direct modulatory action on bone metabolism at the tissue level in elderly men.

CYP1B1 gene in endometrial cancer

Metabolic activation of estradiol has been shown to be a key factor in endometrial carcinogenesis. 4-hydroxy estrogens (CYP1B1 metabolites) received particular attention because of their causative role in malignant transformation of various organs including endometrium. CYP1B1 displays the highest level of expression in endometrium. 4-hydroxy estrogens can bind to DNA via their quinone metabolites and cause oxidative damage in endometrial cancer. Moreover, the 4-hydroxy estrogens bind to the estrogen receptor and have estrogenic effects on target tissues. Six polymorphisms of the CYP1B1 gene have been described of which four result in amino acid substitutions; 1-13C-->T, codon 48C-->G, codon 119G-->T, codon 432C-->G, codon 449T-->C and codon 453A-->G. The polymorphisms on exons 2 and 3 have significant effects on the catalytic function of CYP1B1. Polymorphisms on specific regions of CYP1B1 gene result in hyperactivation of the protein and can lead to a higher susceptibility in the incidence of various cancers. Thus, inherited alterations in CYP1B1 hydroxylation activity may be associated with significant changes in estrogen metabolism and, thereby, may possibly explain inter-individual differences in endometrial cancer risk associated with estrogen-mediated carcinogenesis.

Cytochrome P450 polymorphisms as risk factors for steroid hormone-related cancers

The development of cancers of the breast, endometrium, ovaries and possibly prostate is modulated by steroid hormones. Many steroids and environmental carcinogens are subject to cytochrome P450 (P450)-mediated metabolism that generates reactive metabolites and modulates steroid potency, thereby influencing tumor initiation and promotion respectively. These pathways, which are modulated by polymorphisms in P450 genes, are therefore likely to play an important role in the etiology of hormone-related cancers. Several groups have evaluated genotypes of xenobiotic- and steroid-metabolizing P450 enzymes as risk factors for hormone-related cancers. Polymorphisms in P450s that are specifically involved in the metabolism of steroids appear to be single risk factors. The situation is less clear for xenobiotic-metabolizing P450s. For these genes, only combined genotypes of several P450s or combined genotypes of P450s together with other enzymes have been clearly correlated with disease frequency. Success in identifying the appropriate combination of candidate genes requires a thorough knowledge of the metabolic pathways and enzyme systems that control the initial stages of carcinogenesis, as will be illustrated in this review.

Genetic modelling of the estrogen metabolism as a risk factor of hormone-dependent disorders

Estradiol is a pleiotropic hormone, involved in the etiology of a wide variety of diseases. Over the last decade individual genetic variability of the estradiol metabolism has been described as a significant contributor to disease susceptibility with variations depending on ethnic background. Among others, genetic variations of genes encoding cytochrome P450 (CYP) enzymes play an important role in this regard. Mutant alleles of the CYP 1A1 gene are major modulators of lung cancer risk among smokers, mediate gender differences in lung cancer susceptibility, and have been associated with an elevated risk for developing breast, prostate, colorectal, and oral squamous cell cancer. Variants of the CYP 1B1 gene modulate the risk for developing prostate, ovarian, lung, and breast cancer. Also, mutations in the CYP 1B1 gene are the major genetic determinant of congenital glaucoma. Mutant CYP 17 alleles are associated with serum and plasma levels of steroid hormones, use of hormone replacement therapy, and the development of endometrial, prostate, and breast cancer. Available data indicate that the protective effect against breast cancer of a later age at menarche is limited to wild-type CYP 17 allele carriers. Among women with the polycystic ovary syndrome, carriage of mutant CYP 17 alleles is sufficient to aggravate the clinical presentation of the disease. Molecular variants of the CYP 19 gene are associated with an increased risk for developing breast cancer, advanced breast cancer stages, and tumor aromatase production. Carriage of a mutant catechol-O-methyltransferase allele is associated with breast cancer, neurologic disorders such as Parkinson's disease, and modulates behavior among patients with schizophrenia, alcoholics and the general population. In summary, the available evidence points to genes that encode estrogen-metabolizing enzymes as strong hereditary determinants of the susceptibility to benign as well as malignant conditions.

Genetic modeling of estrogen metabolism as a risk factor of hormone-dependent disorders

Estradiol is a pleiotropic hormone, involved in the etiology of a wide variety of diseases. Over the last decade individual genetic variability of the estradiol metabolism has been described as a significant contributor to disease susceptibility with variations depending on ethnic background. Among others, genetic variations of genes encoding cytochrome P450 (CYP) enzymes play an important role in this regard. Mutant alleles of the CYP 1A1 gene are major modulators of lung cancer risk among smokers, mediate gender differences in lung cancer susceptibility, and have been associated with an elevated risk for breast, prostate, colorectal, and oral squamous cell cancer. Variants of the CYP 1B1 gene modulate the risk for prostate, ovarian, lung, and breast cancer. Also, mutations in the CYP 1B1 gene are the major genetic determinant of congenital glaucoma. Mutant CYP 17 alleles are associated with serum and plasma levels of steroid hormones, use of hormone replacement therapy, and endometrial, prostate, and breast cancer. Available data indicate that the protective effect of a later age at menarche is limited to mutant CYP 17 allele carriers. Among women with the Polycystic Ovary (PCO) syndrome, mutant CYP 17 alleles are sufficient to aggravate the clinical presentation of the disease. Molecular variants of the CYP 19 gene are associated with an increased risk for breast cancer, advanced disease stage, and tumor aromatase production. Carriage of a mutant catechol-O-methyltransferase (COMT) allele is associated with breast cancer, neurologic disorders such as Parkinson's disease, and modulates behavior among patients with schizophrenia, alcoholics and the general population. In summary, the available evidence points to estrogen metabolising genes as strong hereditary determinants of the susceptibility to benign and malignant conditions.

Genetic susceptibility and environmental estrogen-like compounds

Environmental chemicals with estrogenic activities have been suggested to be able to interact with the endocrine system. Endogenous estrogen is synthesized in the ovarian theca cells of premenopausal women or in the stromal adipose cells of the breast of postmenopausal women and minor quantities in peripheral tissue. These cells, as well as breast tissue, express all the necessary enzymes for this synthesis, CYP17, CYP11a, CYP19, 17-beta-hydroxysteroid hydrogenase, steroid sulfatase as well as enzymes further hydroxylating estradiol, such as CYP1A1, CYP3A4, CYP1B1, catechol-o-methyltransferase (COMT). Polymorphisms in these enzymes may have a possible role in the link between environmental estrogens and hormone-like substances and the interindividual risk of breast cancer.

Hereditary cancers in obstetrics and gynecology

The lack of information regarding the effectiveness of screening strategies, chemoprevention, or surgical prophylaxis, and the uncertainty regarding penetrance and risk modification has led many experts to recommend that genetic testing for BRCA1, BRCA2, and other cancer susceptibility genes be performed only in a research setting. Patients, however, are likely to increasingly request access to genetic testing and deserve up-to-date counseling about recent advancements in our knowledge. The primary care physician should concentrate on identifying women likely to be at high-risk for cancer for further referral, allowing the cancer genetics specialist to track down medical records, clarify the pedigree, discuss genetic testing, and provide access to the appropriate cancer specialist to discuss risk reduction.

The role of gene-environment interaction in the aetiology of human cancer: examples from cancers of the large bowel, lung and breast

It has become increasingly clear that cancer can be considered neither purely genetic nor purely environmental. A relatively new area of cancer research has focused on the interaction between genes and environment in the same causal mechanism. Primary candidates for gene-environment interaction studies have been genes that encode enzymes involved in the metabolism of established cancer risk factors. There are common variant forms of these genes (polymorphisms), which may alter metabolism and increase or decrease exposure to carcinogens, thus impacting the risk of cancer. We present an overview of enzymes involved in carcinogen metabolism, present epidemiological tools to evaluate gene-environment interactions, and provide examples from cancers of the breast, lung and large bowel.

Polymorphic variation in CYP19 and the risk of breast cancer

The production of estrogen from androgen via the estrogen biosynthesis pathway is catalyzed by aromatase P450 (cyp19). We have assessed the frequency of allelic variants of the CYP19 intron 4 [TTTA]n repeat in 327 breast cancer cases and 253 controls from southern England. Previous studies have suggested that the [TTTA](10) repeat and [TTTA](12) repeat variants represent low penetrance breast cancer susceptibility alleles. Compared with controls our breast cancer cases had a statistically significant positive association with the [TTTA](10) allele (1.5 versus 0.2%, P = 0.028) and the [TTTA](8) allele (13.5 versus 8.7%, P = 0.012). The frequency of the [TTTA](12) allele was not significantly elevated in our study group compared with controls (2.3 versus 2.2%, P = 1.00). The CYP19 intron 4 [TTTA]n repeat is unlikely to have a functional effect on aromatase activity and it is more likely that the [TTTA](8) and [TTTA](10) variants are in linkage disequilibrium with other functional CYP19 variants.

Cancer classification with DNA microarrays is less more?

The dissection of cancer and the underlying molecular processes that are defective in cancer cells has become an important tool in the fight against this disease. DNA microarrays can provide detailed information of the expression pattern of thousands of genes in tumours. But how much of this data is useful and is some superfluous? Can array data be used to identify a handful of critical genes that will lead to a more-detailed taxonomy of tumours and can this or similar array data be used to predict clinical outcome? Primary tumours will give us the statistical power to draw these conclusions, but can cancer cell lines be used as models to point us in the right direction?