Molecular epidemiology of genetic polymorphisms in estrogen metabolizing enzymes in human breast cancer

Graphene Oxide-Magnetic Nanoparticles Loaded Polystyrene-Polydopamine Electrospun Nanofibers Based Nanocomposites for Immunosensing Application of C-Reactive Protein

The large surface area/volume ratio and controllable surface conformation of electrospun nanofibers (ENFs) make them highly attractive in applications where a large surface area is desired, such as sensors and affinity membranes. In this study, nanocomposite-based ENFs were produced and immobilization of Anti-CRP was carried out for the non-invasive detection of C-reactive protein (CRP). Initially, the synthesis of graphene oxide (GO) was carried out and it was modified with magnetic nanoparticles (MNP, Fe₃O₄) and polydopamine (PDA). Catechol-containing and quinone-containing functional groups were created on the nanocomposite surface for the immobilization of Anti-CRP. Polystyrene (PS) solution was mixed with rGO-MNP-PDA nanocomposite and PS/rGO-MNP-PDA ENFs were produced with bead-free, smooth, and uniform. The surface of the screen-printed carbon electrode (SPCE) was covered with PS/rGO-MNP-PDA ENFs by using the electrospinning technique under the determined optimum conditions. Next, Anti-CRP immobilization was carried out and the biofunctional surface was created on the PS/rGO-MNP-PDA ENFs coated SPCE. Moreover, PS/rGO-PDA/Anti-CRP and PS/MNP-PDA/Anti-CRP immunosensors were also prepared and the effect of each component in the nanocomposite-based electrospun nanofiber (MNP, rGO) on the sensor response was investigated. The analytic performance of the developed PS/rGO-MNP-PDA/Anti-CRP, PS/rGO-PDA/Anti-CRP, and PS/MNP-PDA/Anti-CRP immunosensors were examined by performing electrochemical measurements in the presence of CRP. The linear detection range of PS/rGO-MNP-PDA/Anti-CRP immunosensor was found to be from 0.5 to 60 ng/mL and the limit of detection (LOD) was calculated as 0.33 ng/mL for CRP. The PS/rGO-MNP-PDA/Anti-CRP immunosensor also exhibited good repeatability with a low coefficient of variation.

Interaction between glutathione S-transferase M1-null/present polymorphism and adjuvant chemotherapy influences the survival of breast cancer

Glutathione S‐transferase M (GSTM) family is concerned with oxidative stress, which is associated with breast carcinogenesis and chemotherapy response. The null polymorphism of GSTM1 gene results in a thorough absence of the enzyme function. Our study was to evaluate the association between GSTM1 null/present polymorphism and chemotherapy treatment outcome in breast cancer patients. A total of unrelated 714 patients with a histologically confirmed breast cancer were randomly selected from two independent cancer centers. Polymerase chain reaction was performed to analyze null/present genotypes of GSTM1 in our study. Our study found that the present genotype of GSTM1 was associated with a better relapse‐free survival (RFS) (P = .03) with adjusted hazard ratio (HR) [95% confidence interval (CI)] of 0.63 (95% CI: 0.42‐0.93). The present genotype of GSTM1 was significantly correlated with a better RFS compared with the null genotype in the nonchemotherapy group (HR = 0.17, 95% CI: 0.06‐0.50; P = 0.001), but no effect was observed in the chemotherapy group (HR = 0.81, 95% CI: 0.52‐1.26; P = 0.35). Moreover, the interaction between the GSTM1‐null/present genotype and adjuvant chemotherapy was significant (P = 0.04) in further analysis. Our study suggests that the GSTM1 polymorphism plays a complex role in influencing the chemotherapy response and breast cancer survival. It is suggested that the GSTM1‐present genotype might prevent progression in breast cancer patients. In the meanwhile, it could damage the benefit of adjuvant chemotherapy as well in certain ways.

Association of Active and Sedentary Behaviors with Postmenopausal Estrogen Metabolism

PURPOSE

Physical activity may reduce endogenous estrogens, but few studies have assessed effects on estrogen metabolism and none have evaluated sedentary behavior in relation to estrogen metabolism. We assessed relationships between accelerometer-measured physical activity and sedentary behavior and 15 urinary estrogens and estrogen metabolites (EM) among postmenopausal controls from a population-based breast cancer case-control study conducted in Poland (2000-2003).

METHODS

Postmenopausal women (N = 542) were ages 40 to 72 yr and not currently using hormone therapy. Accelerometers, worn for 7 d, were used to derive measures of average activity (counts per day) and sedentary behavior (<100 counts per minute per day). Estrogen metabolites were measured in 12-h urine samples using liquid chromatography-tandem mass spectrometry. Estrogen metabolites were analyzed individually, in metabolic pathways (C-2, -4, or -16), and as ratios relative to parent estrogens. Geometric means of estrogen metabolites by tertiles of accelerometer-measures, adjusted for age and body mass, were computed using linear models.

RESULTS

High activity was associated with lower levels of estrone and estradiol (P trend = 0.01), whereas increased sedentary time was positively associated with these parent estrogens (P trend = 0.04). Inverse associations were observed between high activity and 2-methoxyestradiol, 4-methoxyestradiol, 17-epiestriol, and 16-epiestriol (P trend = 0.03). Sedentary time was positively associated with methylated catechols in the 2- and 4-hydroxylation pathways (P trend ≤ 0.04). Women in the highest tertile of activity had increased hydroxylation at the C-2, -4, and -16 sites relative to parent estrogens (P trend ≤ 0.02), whereas increased sedentary time was associated with a lower 16-pathway/parent estrogen ratio (P trend = 0.01).

CONCLUSIONS

Higher activity was associated with lower urinary estrogens, possibly through increased estrogen hydroxylation and subsequent metabolism, whereas sedentary behavior may reduce metabolism.

Impact of null genotypes of GSTT1 and GSTM1 with uterine leiomyoma risk in Iranian population

AIM

Few studies have investigated the role of the GSTM1 and GSTT1 genes in uterine leiomyoma. Therefore, in the current study the distribution of these genotypes in Iranian women and susceptibility to uterine leiomyoma was investigated.

METHODS

Blood samples of 50 patients with uterine leiomyoma and 50 healthy individual controls were collected in this cross-sectional study. Genomic DNA was extracted, and subsequently GSTM1 and GSTT1 null genotypes were detected by the Gap-polymerase chain reaction method.

RESULTS

A total of 42% of patients appeared to lack GSTM1 enzyme activity due to the presence of an extended deletion (GSTM1 0/0 genotype), compared with 18% in a control group (odds ratio [OR], 3.56; 95% confidence interval [CI], 1.35-9.37; P < 0.010). In addition, the prevalence of the GSTT1 null genotype in patients was higher than that in the control group (42% to 14%, P < 0.009). Also, it was shown that individuals with both null genotypes (-/-) had a 19.23-fold higher risk of developing the disease in comparison to people who showed both present genotypes (+/+). (P = 0.007; 95%CI, 2.20-167.41). Besides, it was observed that at least one null genotype increases the risk of myoma to 2.6 compared to the both present genotype (P-value < 0.03, 95%CI, 1.05-6.82).

CONCLUSION

To our knowledge, this is first significant correlation between risk of uterine leiomyoma and null GSTM1 and GSTT1 genotypes among Iranian patients. Our data support the involvement of GSTM1 and GSTT1 in uterine leiomyoma liability, and especially its role as a genetic factor in the occurrence of this disease.

The Relationship between Bone Mineral Density and Estrogen Receptor Positivity in Patients with Breast Cancer

OBJECTIVE

The effect of estrogen on bone mineral density (BMD) and breast cancer has been known for a long time. The aim of this study was to compare of the BMD of patients with breast cancer and healthy individuals, and to investigate the degree of correlation of estrogen receptor (ER) with BMD.

MATERIALS AND METHODS

Seventy-one patients with postmenopausal breast cancer and 79 healthy dividuals were included in the study. The patient demographics (age, menopause age, body mass index, number of children, BMD, Z scores, and estrogen status for breast cancer patients) were taken from hospital records.

RESULTS

No significant difference was detected between the case and control groups in lumbar region Z scores (p=0.074). At the femur neck, the control group Z scores was higher than patient group (p=0.002). BMI was higher in the patients with breast cancer (p=0.001). There was no statistically significant correlation between ER positivity, BMD, and BMI in ER-positive patients (p=0.495, p=0.8, p=0.846, respectively). There was no difference between the Z scores when the patients were divided into two groups as ER positive and negative (p=0.156, p=0.335, respectively).

CONCLUSION

This study revealed that there is no difference in lumbar region Z scores between patients with breast cancer and heathy controls; however, the Z scores were higher in the femur neck in the control group, and the BMI was lower in the patient group. Tumor ER positivity does not positively affect BMD.

Molecular epidemiology, and possible real-world applications in breast cancer

Gene-environment interaction, a key idea in molecular epidemiology, has enabled the development of personalized medicine. This concept includes personalized prevention. While genome-wide association studies have identified a number of genetic susceptibility loci in breast cancer risk, however, the application of this knowledge to practical prevention is still underway. Here, we briefly review the history of molecular epidemiology and its progress in breast cancer epidemiology. We then introduce our experience with the trial combination of GWAS-identified loci and well-established lifestyle and reproductive risk factors in the risk prediction of breast cancer. Finally, we report our exploration of the cumulative risk of breast cancer based on this risk prediction model as a potential tool for individual risk communication, including genetic risk factors and gene-environment interaction with obesity.

The isoprostanes--25 years later

Isoprostanes (IsoPs) are prostaglandin-like molecules generated independent of the cyclooxygenase (COX) by the free radical-induced peroxidation of arachidonic acid. The first isoprostane species discovered were isomeric to prostaglandin F2α and were thus termed F2-IsoPs. Since the initial discovery of the F2-IsoPs, IsoPs with differing ring structures have been identified as well as IsoPs from different polyunsaturated fatty acids, including eicosapentaenoic acid and docosahexanenoic acid. The discovery of these molecules in vivo in humans has been a major contribution to the field of lipid oxidation and free radical research over the course of the past 25 years. These molecules have been determined to be both biomarkers and mediators of oxidative stress in numerous disease settings. This review focuses on recent developments in the field with an emphasis on clinical research. Special focus is given to the use of IsoPs as biomarkers in obesity, ischemia-reperfusion injury, the central nervous system, cancer, and genetic disorders. Additionally, attention is paid to diet and lifestyle factors that can affect endogenous levels of IsoPs. This article is part of a Special Issue entitled "Oxygenated metabolism of PUFA: analysis and biological relevance."

Impact of smoking on estrogenic efficacy

Depending on the type, duration and intensity of cigarette smoking, the efficacy of endogenous and exogenous estrogen can be reduced or completely cancelled. Not only does smoking diminish the beneficial effects of estrogen on hot flushes and urogenital symptoms and its positive effects on lipid metabolism, but smoking also can reduce estrogen's ability to prevent osteoporosis and perhaps also cardiovascular diseases. This is mainly caused by dose-dependent elevated hepatic clearance, partially in conjunction with lower estrogen levels, and has been demonstrated so far only with oral estrogen applications. Compensation for the failure of therapeutic action should not be made by increasing the dose in smokers since this might result in the production of potentially mutagenic estrogen metabolites associated with a higher risk of breast cancer. Since the favorable effects of estrogens seem to be not lost in smokers when estrogens are applied transdermally, this route should be preferred in smokers. The most important conclusion from the data presented is that the effects of smoking are very complex and dependent on a multiplicity of factors, so that different types of clinically relevant negative effects must be expected. Women who continue to smoke despite all warnings should be informed that smoking, in addition to all its other negative effects, can also jeopardize the success of hormone replacement therapy.

Variants of estrogen-related genes and breast cancer risk in European and African American women

It has been observed previously that compared with women of European ancestry (EA), those of African ancestry (AA) are more likely to develop estrogen receptor (ER)-negative breast cancer, although the mechanisms have not been elucidated. We tested the associations between breast cancer risk and a targeted set of 20 genes known to be involved in estrogen synthesis, metabolism, and response and potential gene-environment interactions using data and samples from 1307 EA (658 cases) and 1365 AA (621 cases) participants from the Women's Circle of Health Study (WCHS). Multivariable logistic regression found evidence of associations with single-nucleotide polymorphisms (SNPs) in the ESR1 gene in EA women (rs1801132, odds ratio (OR)=1.47, 95% CI=1.20-1.80, P=0.0002; rs2046210, OR=1.24, 95% CI=1.04-1.47, P=0.02; and rs3020314, OR=1.43, 95% CI=1.19-1.70, P=0.00009), but not in AA women. The only other gene associated with breast cancer risk was CYP1A2 in AA women (rs2470893, OR=1.42, 95% CI=1.00-2.02, P=0.05), but not in EA women. When stratified by ER status, ESR1 rs1801132, rs2046210, and rs3020314 showed stronger associations in ER-positive than in ER-negative breast cancer in only EA women. Associations with the ESR1 SNPs in EA women also appeared to be stronger with longer endogenous estrogen exposure or hormonal replacement therapy use. Our results indicate that there may be differential genetic influences on breast cancer risk in EA compared with AA women and that these differences may be modified by tumor subtype and estrogen exposures. Future studies with a larger sample size may determine the full contribution of estrogen-related genes to racial/ethnic differences in breast cancer.

Estrogen metabolism and breast cancer risk among postmenopausal women: a case-cohort study within B~FIT

Although elevated circulating estrogens are associated with increased postmenopausal breast cancer risk, less is known regarding the role of estrogen metabolism in breast carcinogenesis. We conducted a case-cohort study within the Breast and Bone Follow-up to the Fracture Intervention Trial to assess serum estrogens and estrogen metabolites (EMs) in 407 incident breast cancer cases diagnosed during follow-up and a subcohort of 496 women. In 1992-93, women completed a baseline questionnaire and provided blood samples. Hazard ratios (HRs) and 95% confidence intervals (CIs), adjusted for geography and trial participation status, were estimated using Cox proportional hazard regression. Serum concentrations of EMs were measured by liquid chromatography-tandem mass spectrometry. EMs (quintiles, Q) were analyzed individually, as metabolic pathways (C-2, -4 or -16) and as ratios. Elevated circulating estradiol was associated with increased breast cancer risk (HRQ5vsQ1 = 1.86; 95% CI: 1.19-2.90; P trend = 0.04). An elevated ratio of the 2-hydroxylation pathway (HRQ5vsQ1 = 0.69; 95% CI: 0.46-1.05; P trend = 0.01) and 4-hydroxylation pathway (HRQ5vsQ1 = 0.61; 95% CI: 0.40-0.93; P trend = 0.004) to parent estrogens (estradiol and estrone) was inversely associated with risk. A higher ratio of the 2/16-hydroxylation pathways was associated with reduced risk (HRQ5vsQ1 = 0.60; 95% CI: 0.40-0.90; P trend = 0.002). Increased 2- or 4-hydroxylation of parent estrogens may lower risk of postmenopausal breast cancer. Analyses of metabolic pathways may help elucidate the role of estrogen metabolism in breast carcinogenesis.

Polymorphisms of Phase I and Phase II Enzymes and Breast Cancer Risk

Breast cancer is a complex disease which is provoked by a multitude of exogenous and endogenous factors including genetic variations. Recent genome-wide association studies identified a set of more than 18 novel low penetrant susceptibility loci, however, a limitation of this powerful approach is the hampered analysis of polymorphisms in DNA sequences with a high degree of similarity to other genes or pseudo genes. Since this common feature affects the majority of the highly polymorphic genes encoding phase I and II enzymes the retrieval of specific genotype data requires adapted amplification methods. With regard to breast cancer these genes are of certain interest due to their involvement in the metabolism of carcinogens like exogenous genotoxic compounds or steroid hormones. The present review summarizes the observed effects of functional genetic variants of phase I and II enzymes in well designed case control studies to shed light on their contribution to breast cancer risk.

Positive association of polymorphisms in estrogen biosynthesis gene, CYP19A1, and metabolism, GST, in breast cancer susceptibility

PURPOSE

This case-control study was conducted in order to evaluate the potential role of polymorphic genes encoding enzymes involved in estrogen biosynthesis (CYP19A1) and metabolism (GSTM1, GSTT1, and GSTP1), and their action in modulating individual susceptibility to breast cancer.

METHODS

Genomic DNA was extracted from blood samples of 101 patients with histological diagnosis of breast cancer and 121 healthy women. Genotyping analyses of CYP19A1 codon 39 Trp/Arg (T/C), GSTM1 and GSTT1 homozygous deletions, and GSTP1 codon 105 Ile/Val (A/G) were performed by polymerase chain reaction-based methods.

RESULTS

Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated by unconditional logistic regression. Significant statistical association of the TC/CC genotypes combined with breast cancer risk was found, with reference to TT genotype (OR=1.770; 95% CI=1.036-3.024; p=0.036). Also, CYP19A1 arginine allele in homozygosity or heterozygosity (TC/CC) was associated with a significant increased risk for breast cancer when associated to GSTM1 null genotype (OR=6.158; 95% CI=2.676-14.171; p<0.001) and GSTT1 null genotype (OR=4.870; 95% CI=2.216-10.700; p<0.001). The three-way combination of CYP19A1 TC/CC, GSTM1 null, and GSTT1 null polymorphism was related with significant increased risk for breast cancer (OR=11.429; 95% CI=3.590-36.385; p<0.001). Valine alleles compared with isoleucine alleles in codon 105 in GSTP1, in combination with CYP19A1 genotypes, were not associated with an increase of breast cancer development.

CONCLUSIONS

Our results suggest that the effect of CYP19A1 T/C polymorphism in susceptibility to breast cancer development can be modulated by the presence of GSTM1 and GSTT1, but not GSTP1.

Soy isoflavones, CYP1A1, CYP1B1, and COMT polymorphisms, and breast cancer: a case-control study in southwestern China

CYP1A1, CYP1B1, and COMT are key enzymes involved in estrogen metabolism. Soy isoflavones, phytoestrogens found in soy foods, may modify the activity of these enzymes. A case-control study was conducted to assess the associations between soy isoflavone intake and the CYP1A1 Ile462Val, CYP1B1 Val432Leu, and COMT Val158Met polymorphisms and breast cancer, as well as their combined effects on breast cancer. A total of 400 newly diagnosed breast cancer cases and 400 healthy controls were recruited. Participants' daily intake of soy isoflavones (DISI [mg/day]) was calculated and transformed to energy-adjusted DISI by the residual method. Gene sequencing was used to analyze CYP1A1, CYP1B1, and COMT polymorphisms. Adjusted odds ratios (aORs) and 95% confidence intervals (95% CIs) were estimated by conditional logistic regression. A strong protective dose-dependent effect of energy-adjusted DISI on breast cancer was found in both pre- and postmenopausal women (P(trend) < 0.05). Among all women and in the postmenopausal subgroup, COMT Met/Met and CYP1B1 Leu/Leu susceptible genotype carriers had higher risk of breast cancer (aORs > 1, OR 95% CIs exclude 1). In premenopausal women, only carrying CYP1B1 Leu/Leu was associated with breast cancer risk (aOR = 2.05, 95% CI: 1.11-3.79). Carrying CYP1A1 Val/Val was related to breast cancer risk only among all women. A stratified analysis was performed at two levels of energy-adjusted DISI, with wildtype homozygous genotypes and low energy-adjusted DISI as the reference. In the high energy-adjusted DISI subgroup, carrying the CYP1B1 Leu/Leu genotype did not affect breast cancer risk in either all women or in the menopausal subgroups, compared with the reference. Overall, in Han Chinese women, carrying CYP1A1 Val/Val and COMT Met/Met appears to be associated with breast cancer risk, especially in postmenopausal women. CYP1B1 susceptible genotypes (Val/Leu or Leu/Leu) also contribute to increased breast cancer risk, regardless of menopausal status, but high soy isoflavone intake may reduce this risk.

Multi-variant pathway association analysis reveals the importance of genetic determinants of estrogen metabolism in breast and endometrial cancer susceptibility

Despite the central role of estrogen exposure in breast and endometrial cancer development and numerous studies of genes in the estrogen metabolic pathway, polymorphisms within the pathway have not been consistently associated with these cancers. We posit that this is due to the complexity of multiple weak genetic effects within the metabolic pathway that can only be effectively detected through multi-variant analysis. We conducted a comprehensive association analysis of the estrogen metabolic pathway by interrogating 239 tagSNPs within 35 genes of the pathway in three tumor samples. The discovery sample consisted of 1,596 breast cancer cases, 719 endometrial cancer cases, and 1,730 controls from Sweden; and the validation sample included 2,245 breast cancer cases and 1,287 controls from Finland. We performed admixture maximum likelihood (AML)–based global tests to evaluate the cumulative effect from multiple SNPs within the whole metabolic pathway and three sub-pathways for androgen synthesis, androgen-to-estrogen conversion, and estrogen removal. In the discovery sample, although no single polymorphism was significant after correction for multiple testing, the pathway-based AML global test suggested association with both breast (p_global = 0.034) and endometrial (p_global = 0.052) cancers. Further testing revealed the association to be focused on polymorphisms within the androgen-to-estrogen conversion sub-pathway, for both breast (p_global = 0.008) and endometrial cancer (p_global = 0.014). The sub-pathway association was validated in the Finnish sample of breast cancer (p_global = 0.015). Further tumor subtype analysis demonstrated that the association of the androgen-to-estrogen conversion sub-pathway was confined to postmenopausal women with sporadic estrogen receptor positive tumors (p_global = 0.0003). Gene-based AML analysis suggested CYP19A1 and UGT2B4 to be the major players within the sub-pathway. Our study indicates that the composite genetic determinants related to the androgen–estrogen conversion are important for the induction of two hormone-associated cancers, particularly for the hormone-driven breast tumour subtypes.

Estrogen exposure is the most important risk factor for breast and endometrial cancers. Genetic variation of the genes involved in estrogen metabolism has, however, not been consistently associated with these two cancers. We posited that the genetic risk associated with the estrogen metabolic genes is likely to be carried by multiple variants and is therefore most effectively detected by multi-variant analysis. We carried out a comprehensive association analysis of the estrogen metabolic pathway by interrogating SNPs within 35 genes of the pathway in three tumor samples from Sweden and Finland. Through pathway-based multi-variant association analysis, we showed that the genetic variation within the estrogen metabolic pathway is associated with risk for breast and endometrial cancers and that the genetic variation within the genes involved in androgen-to-estrogen conversion is particularly important for the development of ER–positive and sporadic breast tumors in postmenopausal women. Our study has demonstrated that the influence of genetic variation on hormone exposure has an impact on breast cancer development, especially on the development of hormone-driven breast tumor subtypes. Our study has also highlighted that future genetic studies of the estrogen metabolic genes should focus on the androgen-to-estrogen conversion process.

Factors influencing the association between CYP17 T34C polymorphism and the risk of breast cancer: meta-regression and subgroup analysis

A number of studies have been investigated the association between CYP17 T34C polymorphism and the risk of breast cancer; the results of these studies are inconsistent, however. This fact implies that the effect of CYP17 T34C polymorphism on susceptibility to breast cancer may be modified by other risk factors. In order to provide a more definitive conclusion, a full meta-analysis combining and summarizing 24 studies was first performed. Both traditional method and Bayesian approach were applied. Odds ratio was estimated using a dominant mode of inheritance after a biological justification for the choice of genetic model. The results of homogeneity analysis (H = 1.16, I (2) = 25.4%, and P = 0.127) suggested the presence of heterogeneity across the studies. Thus, random effects models simulated by the DerSimonian-Laird method were employed. The capability of a Bayesian approach was highlighted in the estimation of a pooled odds ratio and 95% confidence interval. The results of meta-analysis (OR = 1.001, CI = 0.832-1.208) suggest no significant association in the combined populations. Furthermore, Bayesian meta-regression and subgroup analysis were conducted to investigate the sources of heterogeneity. The risk factors evaluated in the study were menopausal status, ethnicity, age at menarche, age at first birth, parity, use of oral contraceptives, body mass index (BMI), and use of hormone repair therapy (HRT). After these population stratifications, there was evidence indicating that a possible impact of menopausal status, age at menarche, and BMI on the association between CYP17 T34C polymorphism and the risk of breast cancer.

Oxidative stress, obesity, and breast cancer risk: results from the Shanghai Women's Health Study

PURPOSE

Increased reactive oxygen species may exhaust the antioxidant capability of human defense systems, leading to oxidative stress and cancer development. Urinary F2-isoprostanes, secondary end products of lipid peroxidation, are more accurate markers of oxidative stress than other available biomarkers. No prospective study has investigated whether levels of 15-F(2t)-isoprostane (15-F(2t)-IsoP) and its metabolite 2,3-dinor-5,6-dihydro-15-F(2t)-IsoP (15-F(2t)-IsoPM) are related to breast cancer risk.

PATIENTS AND METHODS

We conducted a nested case-control study within the Shanghai Women's Health Study, a population-based cohort study of 74,942 Chinese women between 40 and 70 years of age. Prediagnostic urinary 15-F(2t)-IsoP and 15-F(2t)-IsoPM were measured by gas chromatography mass spectrometry for 436 breast cancer cases and 852 individually matched controls.

RESULTS

Urinary excretion of isoprostanes was not significantly different between cases and controls. However, among overweight women, levels of isoprostanes were positively associated with breast cancer risk, which became stronger with increasing body mass index (BMI). Among women with a BMI > or = 29, the odds ratio (OR) increased to 10.27 (95% CI, 2.41 to 43.80) for the highest compared with the lowest tertile of 15-F(2t)-IsoPM (P for trend = .003; P for interaction = .0004). In contrast, 15-F(2t)-IsoP and 15-F(2t)-IsoPM were inversely associated with breast cancer risk among nonoverweight women. Among women with a BMI < or = 23, breast cancer risk was reduced with increasing 15-F(2t)-IsoP levels in a dose-response manner (P for trend = .006), with an OR of 0.46 (95% CI, 0.26 to 0.80) for the highest tertile versus the lowest (P for interaction = .006).

CONCLUSION

Our results suggest that the role of oxidative stress in breast cancer development may depend on adiposity.

BRCA1-associated breast and ovarian cancer risks in Poland: no association with commonly studied polymorphisms

Polymorphisms in genes involved in DNA repair, steroid hormone biosynthesis/metabolism/signaling, folate metabolism as well as cell growth are prime candidates for possible associations with breast and ovarian cancer risk in women with an inherited predisposition. We investigated 29 polymorphisms in 20 genes encoding key proteins of the above four biological pathways for their breast and ovarian cancer risk modifying effect in Polish women harboring BRCA1 founder mutations. Of the analyzed genes, ERCC2, XRCC1, XRCC2, XRCC3 and Lig4 participate in DNA repair, TP53 in cell cycle check point control, AIB1, AR, COMT, CYP11A1, CYP17A1, CYP19A1, HSD17 and PGR in steroid hormone biosynthesis/metabolism/signaling, TYMS in folate metabolism and HER2, IL6, LRP1, TGFB and TGFBR1 affect cell growth. Using validated methods, we genotyped 319 breast cancer cases, 146 ovarian cancer cases and 290 unaffected controls, all of whom harbored one of three causative mutations in BRCA1. Our results revealed no association of any of the investigated polymorphisms with BRCA1-associated breast or ovarian cancer risk. Thus, it appears that these polymorphisms do not influence disease risk in Polish women carrying one of the three common BRCA1 founder mutations.

Red meat intake, doneness, polymorphisms in genes that encode carcinogen-metabolizing enzymes, and colorectal cancer risk

Colorectal cancer literature regarding the interaction between polymorphisms in carcinogen-metabolizing enzymes and red meat intake/doneness is inconsistent. A case-control study was conducted to evaluate the interaction between red meat consumption, doneness, and polymorphisms in carcinogen-metabolizing enzymes. Colorectal cancer cases diagnosed 1997 to 2000, ages 20 to 74 years, were identified through the population-based Ontario Cancer Registry and recruited by the Ontario Family Colorectal Cancer Registry. Controls were sex-matched and age group-matched random sample of Ontario population. Epidemiologic and food questionnaires were completed by 1,095 cases and 1,890 controls; blood was provided by 842 and 1,251, respectively. Multivariate logistic regression was used to obtain adjusted odds ratio (OR) estimates. Increased red meat intake was associated with increased colorectal cancer risk [OR (> 5 versus < or = 2 servings/wk), 1.67 (1.36-2.05)]. Colorectal cancer risk also increased significantly with well-done meat intake [OR (> 2 servings/wk well-done versus < or = 2 servings/wk rare-regular), 1.57 (1.27-1.93)]. We evaluated interactions between genetic variants in 15 enzymes involved in the metabolism of carcinogens in overcooked meat (cytochrome P450, glutathione S-transferase, UDP-glucuronosyltransferases, SULT, NAT, mEH, and AHR). CYP2C9 and NAT2 variants were associated with colorectal cancer risk. Red meat intake was associated with increased colorectal cancer risk regardless of genotypes; however, CYP1B1 combined variant and SULT1A1-638G>A variant significantly modified the association between red meat doneness intake and colorectal cancer risk. In conclusion, well-done red meat intake was associated with an increased risk of colorectal cancer regardless of carcinogen-metabolizing genotype, although our data suggest that persons with CYP1B1 and SULT1A1 variants had the highest colorectal cancer risk.

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.

Estrogens metabolism associated with polymorphisms: influence of COMT G482a genotype on age at onset of canine mammary tumors

Catechol-O-methyltransferase (COMT) is an important enzyme participating in inactivation of carcinogenic oestrogen metabolites. In humans there is a single nucleotide polymorphism in COMT gene (COMT val158met) that has been associated with an increased risk for developing breast cancer. In dogs, there is a single nucleotide polymorphism in COMT gene (G482A), but its relation with mammary carcinogenesis has never been investigated. The aim of this study was to focus on the evaluation of such polymorphism as a risk factor for the development of mammary tumors in bitches and on the analysis of its relationship with some clinicopathologic features (dog's age and weight, number and histologic type of the lesions, lymph node metastasis) of canine mammary neoplasms. A case-control study was conducted analyzing 90 bitches with mammary tumors and 84 bitches without evidence of neoplastic disease. The COMT G482A polymorphism was analyzed by PCR-RFLP. We found a protective effect of the polymorphism in age of onset of mammary tumors, although we could not establish a significant association between COMT genotype and other clinicopathologic parameters nor with mammary tumor risk overall. Animals carrying the variant allele have a threefold likelihood of developing mammary tumors after 9 years of age in comparison with noncarriers. The Kaplan-Meier method revealed significant differences in the waiting time for onset of malignant disease for A allele carrier (12.46 years) and noncarrier (11.13 years) animals. This investigation constitutes the first case-control study designed to assess the relationship between polymorphic genes and mammary tumor risk in dogs. Our results point to the combined effect of COMT genotype with other genetic and/or environmental risk factors as important key factors for mammary tumor etiopathogenesis.

Comprehensive association analyses of IGF1, ESR2, and CYP17 genes with adult height in Caucasians

Human adult height is closely related to body growth that is regulated by multiple cytokines or hormones like growth hormone (GH) and estrogen. Our study focused on three potential candidate genes to human height, namely IGF1 (insulin-like growth factor 1), ESR2, and CYP17. We genotyped 43 single nucleotide polymorphisms (SNPs) and tested their associations in 1873 subjects from 405 nuclear families, using both the family-based quantitative transmission disequilibrium test (QTDT) and population-based ANOVA methods. Both analyses consistently detected that two novel SNPs of IGF1, rs5742694 and rs2033178, were significantly associated with human height, with the P-values of 0.0097 and 0.0057 in QTDT analyses, 0.0002/0.004 (sample 1/sample 2) and 8.46 x 10(-5)/1.92 x 10(-5) in ANOVA analyses. For ESR2, significant associations were only detected in women (rs1256061: QTDT P=0.002, ANOVA P=0.002/0.012; rs17766755: QTDT P=0.019, ANOVA P=0.023/0.006; rs1256044: QTDT P=0.022, ANOVA P=0.002/0.034). Haplotype analyses corroborated our single-SNP results. However, no association was detected between CYP17 and human height. In conclusion, we identified the important effects of IGF1 and ESR2 on adult height variation in Caucasians, and first suggested the potential sex-specific effect of ESR2 on height variation in Caucasian women. It will be valuable for other independent studies to replicate and confirm these findings.

Estrogen-biosynthesis gene CYP17 and its interactions with reproductive, hormonal and lifestyle factors in breast cancer risk: results from the Long Island Breast Cancer Study Project

The genes that are involved in estrogen biosynthesis, cellular binding and metabolism may contribute to breast cancer susceptibility. We examined the effect of the CYP17 promoter T --> C polymorphism and its interactions with the reproductive history, exogenous hormone use and selected lifestyle risk factors on breast cancer risk among 1037 population-based incident cases and 1096 population-based controls in the Long Island Breast Cancer Study Project. Overall, there were no associations between the CYP17 genotype and breast cancer risk. Among postmenopausal women, the joint exposure to higher body mass index (BMI) and the variant C allele was associated with an increased risk of breast cancer [odds ratio (OR), 1.60; 95% confidence interval (CI), 1.15-2.22]. The joint exposure to the variant C allele and long-term use of hormone replacement therapy (HRT) (>51 months) was related to an increased risk of breast cancer (OR, 1.51; 95% CI, 0.99-2.31) especially estrogen receptor-positive, progesterone receptor-positive breast cancer (OR, 1.87; 95% CI, 1.08-3.25). Among the control population, the CYP17 variant C allele was inversely associated with long-term use of postmenopausal HRT and a higher BMI in postmenopausal women. In conclusion, the findings suggest that the CYP17 variant C allele may increase breast cancer risk in conjunction with long-term HRT use and high BMI in postmenopausal women.

Polymorphisms of catechol-O-methyltransferase in men with renal cell cancer

The estrogen metabolite, 4-hydroxy-estrogen, has been shown to play a role in malignant transformation of male kidneys. To counteract the effects of this catechol-estrogen, the catechol-O-methyltransferase (COMT) enzyme is capable of neutralizing the genotoxic effects of this compound. A polymorphic variant of COMT has been shown to have a reduced enzyme activity, and thus, we hypothesize that single nucleotide polymorphisms of the COMT gene can be a risk factor for renal cell cancer (RCC). To determine this hypothesis, a study of a Japanese male population was used and the genetic distributions of COMT polymorphisms at codons 62 (C-->T), 72 (G-->T), and 158 (G-->A) were analyzed in 157 normal healthy subjects and 123 sporadic RCC (clear cell type) samples by using a sequence-specific PCR technique. These experiments show that the variant genotype (P = 0.025) and allele (P = 0.011) at codon 62 is a risk factor for RCC. The odds ratio and 95% confidence interval for cancer were 3.16 and 1.29 to 7.73, respectively, for the T/T genotype as compared with wild-type. No associations for renal cancer were found at either codons 72 or 158 in this Japanese male population. However, codons 62 and 158 were observed to be in linkage disequilibrium, and haplotype analysis shows the combined forms of T-A, T-G, and C-A to be associated with RCC as compared with C-G (P < 0.001). When evaluating the risk of COMT polymorphisms with grade of cancer, no associations were observed for any of the genotypes. This study is the first to report COMT polymorphism to be associated with RCC. These results are important in understanding the role of COMT polymorphisms in the pathogenesis of RCC.

Estrogen-induced generation of reactive oxygen and nitrogen species, gene damage, and estrogen-dependent cancers

In addition to the direct effect of estrogen on mitochondria and the redox cycling of catechol estrogen, estrogen-induced proinflammatory cytokines, such as interleukin-1 beta (IL-1beta) and tumor necrosis factor alpha (TNF-alpha), also generate reactive oxygen and nitrogen species (RO/NS). Different cellular signaling pathways may operate in response to varying levels of estrogen-induced RO/NS, leading to genotoxic damage, cell apoptosis, or cell growth. At high levels of RO/NS, cells receiving genotoxic insults, if not repaired, may engage the apoptotic pathways. There is increasing evidence supporting that estrogen-induced alterations in the genome of cells is produced by oxidative attack. Furthermore, ROS generated by estrogen exposure and/or active metabolites of estrogen in combination with receptor-mediated proliferation of genetically damaged cells may be involved in tumor development. This view is supported by the findings of DNA modifications produced in vitro or in vivo by natural and synthetic estrogens in the target organs of cancer both in experimental models and in humans. Interaction of estrogen-induced oxidants and estrogen metabolites with DNA was shown to generate mutations in genes. Cotreatment with an inhibitor of IL-1beta and TNF-alpha synthesis, pentoxifylline, decreased stilbene estrogen-induced levels of myeloperoxidase (MPO), 8-hydroxydeoxyguanosine formation, and gene mutations, and prevented stilbene estrogen-induced lesions. Stable MCF-7 clones overexpressing IL-1beta resulted in a high level of IL-1beta peptide secretion undergoing cell apoptosis, and an elevated level of p53 protein in response to high oxidative stress when compared to nontransfected cells, whereas MCF-7 clones overexpressing IL-1beta that resulted in a moderate level of IL-1beta secretion stimulated the clonal expansion of MCF-7 and TM3 cells. Estrogen-induced MCF-7 cell growth and cyclin D1 expression were suppressed by antioxidants and mitochondrial blockers. These studies support that in addition to ovarian estrogen-mediated ER signaling, mitogenic signals may also come from estrogen-induced RO/NS. Further validation of this concept that the concentration of the RO/NS within the cellular microenvironment determines its stimulatory or inhibitory growth signals as well as its genotoxic effects regulating the growth of estrogen-dependent tumors may result in novel preventive strategies.

Influences on circulating oestrogens in postmenopausal women: relationship with breast cancer

Sex hormones are intrinsically linked to the development and treatment of the majority of breast cancers. High oestradiol levels are associated with elevated breast cancer risk in the postmenopausal setting and are given increasing importance in determining chemoprevention target groups. This review aims to evaluate the impact of various lifestyle factors including body mass index, diet, smoking, and alcohol on normal physiological sex hormone profiles. The role of genetic polymorphisms is also discussed, and all are placed within the context of designing future epidemiological studies and breast cancer risk algorithms.

Age-specific association of steroid hormone pathway gene polymorphisms with breast cancer risk

BACKGROUND

Breast cancer (BC) is a complex disease, and the incidence rates for BC increase with age. Both environmental factors and genetics have an impact on the risk of BC. Although the effects of environmental factors may vary with age, it has been assumed generally that the penetrance of single nucleotide polymorphisms (SNPs) is constant throughout life. In the current study, the results demonstrated that certain SNPs exhibit BC risk associations that vary considerably with age.

METHODS

SNPs in 12 steroid hormone pathway genes were investigated for associations with BC risk in white women who were enrolled in an age-matched, case-control (1:2 for cases and controls, respectively) study that consisted of a discovery set (n = 5000 women) and an independent validation set (n = 1583 women).

RESULTS

Significant age-related trends were identified and confirmed for SNPs in 4 genes associated with BC risk. The cytosine/cytosine (C/C) genotype of cytochrome P450 XIB2 (CYP11B2) was associated with decreased risk at younger ages (ages 30-44 years) but an increased risk at older ages (ages 55-69 years). The homozygous cytosine-guanine (CG/CG) genotype of uridine phosphorylase glycosyltransferase 1A7 (UGT1A7) was associated with increased risk at younger ages but decreased risk at older ages. Associations in cytochrome P450 19 (CYP19) and progesterone receptor (PGR) were confined to middle age (ages 45-54 years).

CONCLUSIONS

The identification of age-specific genetic associations may have profound implications for future etiologic studies of BC and for the use of SNP genotyping to accurately predict the risk of BC in women.

Glutathione S-transferase polymorphisms associated with risk of breast cancer in southern Taiwan

In this study, the genetic polymorphisms associated with breast cancer in southern Taiwan were investigated. Two categories of genes were analyzed: (1) BRCA1, BRCA2, and Rad51, the DNA repair factors involved in homologous recombinational repair; and (2) CYP1A1, COMT, GST, and NAT2, the xenobiotic-metabolizing enzymes (XME) involved in estrogen metabolism. We found that the number of deletions and/or mutations in the GST genes was highly correlated with the occurrence of breast cancer. These data suggest that the GST enzymes, which detoxify the catechol estrogen quinones, are important target molecules for screening in populations at high risk of breast cancer.

Variants in estrogen metabolism and biosynthesis genes and urinary estrogen metabolites in women with a family history of breast cancer

We examined associations between polymorphisms in genes related to estrogen metabolism (CYP1B1 codon 432G --> C rs#1056836, CYP1B1 codon 453A --> G rs#1800440, COMT codon 158G --> A rs#4680) and biosynthesis (CYP17 T --> C promoter rs#743572, CYP19 exon 4 TTTA repeat) and urinary estrogen metabolites (2-hydroxyestrogens (2-OHE), 16alpha-hydroxyestrone (16alpha-OHE1), and their ratio) in a pilot study of 64 pre- and post-menopausal women with a family history of breast cancer. Women were participants in the Metropolitan New York Registry of Breast Cancer Families, one of six international sites of the National Cancer Institute's Breast Cancer Family Registry. We used linear regression to examine the effects of genetic variants on log-transformed urinary estrogen metabolites. After adjusting for menopausal status, BMI, and age, carriers of the CYP1B1 codon 453G variant allele had 31.0% lower levels of 2-OHE (P-value = 0.05) and 40.2% lower levels of 16alpha-OHE1 (P = 0.01). Results were similar after restricting the analyses to pre-menopausal women (n = 41). Consistent with other studies, among pre-menopausal women, carriers of the COMT codon 158A variant allele had increased 2-OHE levels (P = 0.03) and an increased 2-OHE/16alpha-OHE1 ratio (P = 0.04); carriers of the CYP17 C promoter variant allele had increased 2-OHE levels (P = 0.08). To our knowledge this is the first report showing associations between the CYP1B1 codon 453G variant allele and urinary 2-OHE and 16alpha-OHE1 metabolites. Further larger studies should be conducted to confirm these results. Future identification of individuals with genetic polymorphisms that affect estrogen metabolism and biosynthesis may help characterize women at higher breast cancer risk and could guide breast cancer prevention strategies for those individuals.

Polymorphisms in estrogen-metabolizing and estrogen receptor genes and the risk of developing breast cancer among a cohort of women with benign breast disease

Background

A cohort study was conducted to examine the role of genetic polymorphisms in three estrogen metabolizing enzymes (COMT, CYP1A1, CYP1B1) and the two estrogen receptors (ESR1, ESR2) in the progression of benign breast disease (BBD) to breast cancer.

Methods

Among participants in an ongoing cohort study, 1438 Caucasian women had a breast biopsy for BBD and were successfully genotyped for at least one of the polymorphisms examined in this study. Genotypes were determined using DNA extracted from blood specimens collected in 1989. Incident cases of breast cancer occurring subsequent to BBD diagnosis up to 2003 were identified through cancer registries.

Results

Among all participants, the ESR2 *5772G allele was associated with a significant decrease in the risk of breast cancer among women with BBD (Odds Ratio (OR) 0.38; 95% Confidence Interval (CI) 0.15, 0.96). Compared to the reference wild-type genotypes, marginally significant associations with the development of breast cancer were observed between carriers of the variant ESR1 – 104062T allele (OR 0.70, 95% CI 0.45, 1.09), the variant ESR2 *38A allele (OR 1.40; 95% CI 0.88, 2.25), and the variant CYP1B1 453Ser allele (OR 1.48, 95% CI 0.95, 2.32).

Conclusion

The results indicate that specific polymorphisms in the CYP1B1, ESR1, and ESR2 genes may play a role in progression of BBD to breast cancer among Caucasian women. Although additional studies are needed to confirm or refute our findings, these results suggest that genetic markers may aid in the identification of women who are at risk for progression of BBD to cancer.

A Study on the Association of Cytochrome-P450 1A1 Polymorphism and Breast Cancer Risk in North Indian Women

Cytochrome P-450 1A1 (CYP1A1) is involved in the 2-hydroxylation of estrogens and mammary carcinogens into 2-hydroxy catechol metabolites. Many commonly occurring single nucleotide polymorphism (SNP) are reported in CYP1A1 in various populations that include, isoleucine to valine substitution at 462 codon in heme binding region in exon 7 (A to G transition at position 2455; M2), threonine to asparagine substitution at codon 461 (C to A transversion at position 2453; M4), T to C transition at 3801 position (M1) and T to C transition at position 3205 (M3) in 3' non-coding region. Epidemiological studies have shown inconsistent patterns between CYP1A1 polymorphism and breast cancer risk among various populations. Most of the studies have shown significant association between CYP1A1 genotype polymorphism and breast cancer risk. The present investigation was therefore undertaken to investigate the association of M1, M2, M3 and M4 polymorphisms and their subsequent contribution in premenopausal and postmenopausal women with breast cancer risk in north Indian women. Genomic DNA was isolated from case controls and breast cancer patients, specific segments of genomic DNA were amplified and restriction fragment length polymorphism (RFLP) was performed. CYP1A1 expression and catalytic activity were also assessed in premenopausal and postmenopausal case controls and patients. Polymorphism at M1, M2 and M4 alleles was detected and odds ratio for W/M1 and M1/M1 was calculated as 1.07 (95% CI, 0.59-1.87) and 0.74 (95% CI, 0.28-1.96) respectively. Odds ratio for W/M1 and M1/M1 alleles in premenopausal and postmenopausal women was 1.09 (95% CI, 0.45-2.49)/0.62 (95% CI, 0.10-2.66) and 1.60 (95% CI, 0.60-4.22)/1.06 (95% CI, 0.22-7.33) respectively. Odds ratio for W/M4 and M4/M4 allele was 1.20 (95% CI, 0.65-2.24)/4.55 (95% CI, 0.44-226.2) and 0.96 (95% CI, 0.36-2.64)/4.51 (95% CI, 0.23-273.0) respectively in total and premenopausal women. In postmenopausal women odds ratio was calculated as 1.16 (95% CI, 0.45-2.94) for M4/W but it could not be detected for M4/M4 since this genotype was not found in any postmenopausal case controls. Odds ratio for W/M2 genotype was calculated 0.57 (95% CI, 0.28-1.02), 1.06 (95% CI, 0.40-2.47) and 0.33 (95% CI, 0.12-0.89) respectively for total, premenopausal and postmenopausal women, however, in any group the odds ratio for M2/M2 could not be detected as M2/M2 genotype was not found in breast cancer patients. Polymorphism at M1 and M4 alleles was not found significantly associated with breast cancer risk and only wild type genotype was found in case controls and patients for M3 allele. Lack of protective association between CYP1A1 M2 genotype was also observed, however, in postmenopausal women a significant protective association with breast cancer risk was found (odds ratio, 0.33; 95% CI, 0.12-0.89; P-value 0.03). Similarly, no significant alteration in CYP1A1 expression and catalytic activity was observed in wild type and variant genotypes both in premenopausal and postmenopausal patients as compared with their respective controls. The results obtained from the present investigation thus suggest that probably CYP1A1 (M1, M2, M3, and M4) polymorphism alone does not play a significant role in the breast cancer risk in north Indian women.

Association analyses of CYP19 gene polymorphisms with height variation in a large sample of Caucasian nuclear families

Human height is a complex trait regulated by multiple genetic and environmental factors. CYP19 (cytochrome P450 19) encodes aromatase, which catalyses the rate-limiting step in the conversion of androgens to estrogens. Deleterious mutations in CYP19 can result in estrogen deficiency that will influence adult height to certain extent. In the present study, we aimed to test the associations between the CYP19 gene polymorphisms with adult height variation, using family-based association methods, such as QTDT (quantitative transmission disequilibrium test) and FBAT (family-based association test) in 1,873 subjects from 405 Caucasian nuclear families. We found one SNP (rs730154) significantly associated with height by both QTDT (P=0.0030) and FBAT (P=0.0016) analyses. Haplotype analyses corroborated our single-marker results by showing that the haplotypes in block 4 containing rs730154 were significantly associated with height variation. We thus concluded that CYP19 could be one of the genetic factors influencing adult height in Caucasians. Further studies are required to identify the causal functional variants responsible for Caucasian height within the CYP19 gene.

Gene expression profiling of whole-blood samples from women exposed to hormone replacement therapy

The American Women's Health Initiative study published in July 2002 caused considerable concern among hormone replacement therapy (HRT) users and prescribers in many countries. This study is an exploratory research comparing the genome-wide expression profile in whole-blood samples according to HRT use. Within the Norwegian Women and Cancer study, 100 postmenopausal women (50 HRT users and 50 non-HRT users) born between 1943 and 1949 with normal to high body mass index and no other medication use were selected. After total RNA extraction, amplification, and labeling, the samples were hybridized together with a common reference (Universal human reference RNA, Stratagen) to Agilent Human 1A oligoarrays (G4110b, Agilent Technologies) containing 20,173 unique genes. Differentially expressed genes were used to build a classifier using the nearest shrunken centroid method (PAM). Then, we tested the significant changes in single genes by different methods like t test, Significance Analysis of Microarrays, and Bayesian ANOVA analysis. Results did not reveal any distinct gene list which predicted accurately HRT exposure (error rate, 0.40). Classifier performance slightly improved (error rate, 0.26) including only women who were using continuous combined HRT treatment. According to the small amplitude of expression alterations observed in whole blood, more quantitative technique and larger sample sizes will be needed to be able to investigate whether significant single genes are differentially expressed in HRT versus non-HRT users. Taken cautiously, significant enrichments in biological process of genes with small changes after HRT use were observed (e.g., receptor and transporter activities, immune response, frizzled signaling pathway, actin filament organization, and glycogen metabolism).

Pharmacogenetics and regulation of human cytochrome P450 1B1: implications in hormone-mediated tumor metabolism and a novel target for therapeutic intervention

Several of the hormone-mediated cancers (breast, endometrial, ovarian, and prostate) represent major cancers in both incidence and mortality rates. The etiology of these cancers is in large part modulated by the hormones estrogen and testosterone. As advanced disease develops, the common treatment for these cancers is chemotherapy. Thus, genes that can alter tissue response to hormones and alter clinical response to chemotherapy are of major interest. The cytochrome P450 1B1 (CYP1B1) may be involved in disease progression and modulate the treatment in the above hormone-mediated cancers. This review will focus on the pharmacogenetics of CYP1B1 in relation to hormone-mediated cancers and provide an assessment of cancer risk based on CYP1B1 polymorphisms and expression. In addition, it will provide a summary of CYP1B1 gene regulation and expression in normal and neoplastic tissue.

A candidate gene approach to searching for low-penetrance breast and prostate cancer genes

Most cases of breast and prostate cancer are not associated with mutations in known high-penetrance genes, indicating the involvement of multiple low-penetrance risk alleles. Studies that have attempted to identify these genes have met with limited success. The National Cancer Institute Breast and Prostate Cancer Cohort Consortium--a pooled analysis of multiple large cohort studies with a total of more than 5,000 cases of breast cancer and 8,000 cases of prostate cancer--was therefore initiated. The goal of this consortium is to characterize variations in approximately 50 genes that mediate two pathways that are associated with these cancers--the steroid-hormone metabolism pathway and the insulin-like growth factor signalling pathway--and to associate these variations with cancer risk.

Genotype, phenotype and cancer: role of low penetrance genes and environment in tumour susceptibility

Role of heredity and lifestyle in sporadic cancers is well documented. Here we focus on the influence of low penetrance genes and habits, with emphasis on tobacco habit in causing head and neck cancers. Role of such gene-environment interaction can be well studied in individuals with multiple primary cancers. Thus such a biological model may elucidate that cancer causation is not solely due to genetic determinism but also significantly relies on lifestyle of the individual.

Artifactual isoform profile modification following treatment of human plasma or serum with protease inhibitor, monitored by 2-dimensional electrophoresis and mass spectrometry

The inclusion of protease inhibitors in serum or plasma samples has been found to significantly impact the isoform profile of selected plasma proteins as seen on 2-dimensional electrophoresis (2-DE) gels. With the addition of a protease inhibitor cocktail, several human plasma protein trains [depleted of albumin and immunoglobulin G (IgG)] exhibited higher isoelectric point (pI) isoforms. This shift was especially apparent for apolipoprotein A1 (apo A1), a relatively high abundance protein. The six protease inhibitor components of the cocktail were individually investigated with albumin and IgG depleted human plasma, and it was shown that the observed effects were caused by 4-(2-aminoethyl) benzenesulfonyl fluoride (AEBSF), a serine protease inhibitor that covalently modifies proteins and/or peptides. Several serine-and/or tyrosine-containing peptides of apo A1 were modified with a concomitant mass increase of 183 Da, which is consistent with the mass increase expected following reaction with AEBSF. These modifications were observed with increasing propensity in the higher pI spots. An increase in both the number and proportion of modified peptides with increasing pI was also observed. A model is proposed for the random or stochastic coupling of AEBSF-derived moieties to serine and/or tyrosine residues throughout apo A1 and potentially other plasma proteins.

Genetic determination of susceptibility to estrogen-induced mammary cancer in the ACI rat: mapping of Emca1 and Emca2 to chromosomes 5 and 18

Hormonal, genetic, and environmental factors play major roles in the complex etiology of breast cancer. When treated continuously with 17beta-estradiol (E2), the ACI rat exhibits a genetically conferred propensity to develop mammary cancer. The susceptibility of the ACI rat to E2-induced mammary cancer appears to segregate as an incompletely dominant trait in crosses to the resistant Copenhagen (COP) strain. In both (ACI x COP)F(2) and (COP x ACI)F(2) populations, we find strong evidence for a major genetic determinant of susceptibility to E2-induced mammary cancer on distal rat chromosome 5. Our data are most consistent with a model in which the ACI allele of this locus, termed Emca1 (estrogen-induced mammary cancer 1), acts in an incompletely dominant manner to increase both tumor incidence and tumor multiplicity as well as to reduce tumor latency in these populations. We also find evidence suggestive of a second locus, Emca2, on chromosome 18 in the (ACI x COP)F(2) population. The ACI allele of Emca2 acts in a dominant manner to increase incidence and decrease latency. Together, Emca1 and Emca2 act independently to modify susceptibility to E2-induced mammary cancer.

Cytochrome P450 1B1 and catechol-O-methyltransferase genetic polymorphisms and breast cancer risk in Chinese women: results from the shanghai breast cancer study and a meta-analysis

Cytochrome P450 1B1 (CYP1B1) and catechol-O-methyltransferase (COMT) are important estrogen-metabolizing enzymes and, thus, genetic polymorphisms of these enzymes may affect breast cancer risk. A population-based case-control study was conducted to assess the association of breast cancer risk with CYP1B1 and COMT polymorphisms. A meta-analysis was done to summarize the findings from this and previous studies. Included in this study were 1,135 incident breast cancer cases diagnosed from August 1996 through March 1998 among female residents of Shanghai and 1,235 randomly selected, age frequency-matched controls from the same general population. The common alleles of the CYP1B1 gene were Arg (79.97%) in codon 48, Ala (80.53%) in codon 119, and Leu (86.57%) in codon 432. The Val allele accounted for 72.46% of the total alleles identified in codon 108/158 of the COMT gene. No overall associations of breast cancer risk were found with any of the single nucleotide polymorphisms described above. This finding was supported by a meta-analysis of all previous published studies. No gene-gene interactions were observed between CYP1B1 and COMT genotypes. The associations of breast cancer risk with factors related to endogenous estrogen exposure, such as years of menstruation and body mass index, were not significantly modified by the CYP1B1 and COMT genotypes. We observed, however, that women who carried one copy of the variant allele in CYP1B1 codons 48 or 119 were less likely to have estrogen receptor-positive breast cancer than those who carried two copies of the corresponding wild-type alleles. The results from this study were consistent with those from most previous studies, indicating no major associations of breast cancer risk with CYP1B1 and COMT polymorphisms.

Genetic polymorphisms of TGF-beta1 & TNF-beta and breast cancer risk

OBJECTIVE

The proliferation of malignant breast epithelial cells is regulated by various stimuli including cytokines and growth factors, thus the variants of those genes may modify the breast cancer risk. To evaluate the potential influences of TGF-beta1 T29C and TNF-beta A252G gene polymorphisms on breast cancer risk, a case-control study was conducted in Korea.

METHODS

Histologically confirmed breast cancer cases (n=560) and controls (n=509) with no previous history of cancer were recruited from three teaching hospitals in Seoul, Korea. Genotypes were determined by PCR-CTPP (polymerase chain reaction with confronting two-pair primers) method. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by unconditional logistic regression model adjusting for age, body mass index, education, parity, age at first full-term pregnancy, and family history of breast cancer.

RESULTS

The TGF-beta1 29C-allele containing genotypes posed an increased risk of breast cancer (OR=1.3, 95% CI=1.02-1.79), especially in postmenopausal women (OR=1.6, 95% CI=1.01-2.44). Similarly, the TNF-beta 252G-allele containing genotypes posed an increased risk of postmenopausal breast cancer (OR=1.7, 95% CI=1.09-2.55). The risk of postmenopausal breast cancer increased in parallel with the number of the risk genotypes (p for trend <0.01). When data were stratified by the presumed non-genetic risk factors, TGF-beta1 C-allele containing genotypes were found to increase breast cancer risk almost two-fold in postmenopausal women with greater than median body mass index (>22.8 kg/m2) (OR=1.9, 95% CI=1.04-3.37).

CONCLUSION

The results of this study therefore suggest that polymorphisms of TGF-beta1 and TNF-beta genes may modify individual susceptibility to breast cancer in Korean women.

CYP17 5'-UTR MspA1 polymorphism and the risk of premenopausal breast cancer in a German population-based case-control study

Introduction

Studies on the association between the cytochrome P450c17α gene (CYP17) 5'-untranslated region MspA1 genetic polymorphism and breast cancer risk have yielded inconsistent results. Higher levels of estrogen have been reported among young nulliparous women with the A2 allele. Therefore we assessed the impact of CYP17 genotypes on the risk of premenopausal breast cancer, with emphasis on parity.

Methods

We used data from a population-based case–control study of women aged below 51 years conducted from 1992 to 1995 in Germany. Analyses were restricted to clearly premenopausal women with complete information on CYP17 and encompassed 527 case subjects and 904 controls, 99.5% of whom were of European descent. The MspA1 polymorphism was analyzed using PCR-RFLP (PCR–restriction fragment length polymorphism) assay.

Results

The frequencies of the variant allele among the cases and controls were 43% and 41%, respectively. Overall, CYP17 A1/A2 and A2/A2 genotypes compared with the A1/A1 genotype were not associated with breast cancer, with adjusted odds ratios (ORs) of 1.04 and 1.23, respectively. Among nulliparous women, however, breast cancer risk was elevated for the A1/A2 (OR = 1.31; 95% confidence interval (CI) 0.74 to 2.32) and the A2/A2 genotype (OR = 2.12; 95% CI 1.04 to 4.32) compared with the A1/A1 genotype, with a trend towards increasing risk associated with number of A2 alleles (P = 0.04). Otherwise, the CYP17 polymorphism was found neither to be an effect modifier of breast cancer risks nor to be associated with stage of disease.

Conclusion

Our results do not indicate a major influence of CYP17 MspA1 polymorphism on the risk of premenopausal breast cancer, but suggest that it may have an impact on breast cancer risk among nulliparous women. The finding, however, needs to be confirmed in further studies.

Role of xenobiotic metabolizing gene polymorphisms in breast cancer susceptibility and treatment outcome

Metabolic activation and inactivation of potential genotoxic agents occur by Phase I and Phase II enzymes in multiple interactions. An expanding body of literature demonstrates that ethnic differences in breast cancer incidence may be partly caused by host genetic factors particularly genetic polymorphisms of these carcinogen-metabolizing enzymes. The present case-control study aimed at identification of such low penetrance breast cancer susceptibility genes in 224 Indian women and to investigate the potential effects of their polymorphisms on sporadic breast cancer risk. The main objective of the study was to evaluate the effects of genetic polymorphisms of the xenobiotic metabolizing genes CYP1A1, GSTM1 and GSTT1 on breast cancer risk by PCR-RFLP and DNA sequencing. Our results showed a significant association between CYP1A1 m1, m2 polymorphisms and breast cancer risk; however there was a lack of association between GSTM1 null deletion and breast cancer. The associations of CYP1A1, GSTM1 and GSTT1 genotypes with breast cancer risk were more pronounced among the pre-menopausal patients. Combined genotype analysis revealed the CYP1A1 m2 ValVal-GSTM1 homozygous null deletion genotype combinations to be associated with the highest risk of breast cancer (OR=10.3, 95% CI=1.2-86.1). Correlations with clinicopathological factors and treatment outcome were also analyzed for predicting disease free survival by univariate and multivariate analysis. Significant differences in disease free survival between the wild and polymorphic genotypes were observed only for CYP1A1 m2, GSTT1 genotypes. Our results based on the analysis of functionally relevant polymorphisms in these low penetrance genes may provide a better model that would exhibit additive effects on individual susceptibility to breast cancer. Such genotype analysis resulting in a high-risk profile holds considerable promise for individualizing screening and therapeutic intervention in breast cancer. Hence, the present study may provide strong supportive evidence for genetic interactions in the etiology of breast cancer.

Polymorphisms inCYP1A1 and breast carcinoma risk in a population-based case-control study of Chinese women

BACKGROUND

Cytochrome P450 1A1 (CYP1A1) is involved in the 2-hydroxylation of estrogen, the hormone that plays a critical role in the etiology of breast carcinoma.

METHODS

The authors evaluated common polymorphisms in the CYP1A1 gene in relation to breast carcinoma risk in a large population-based case-control study among Chinese women, the Shanghai Breast Cancer Study. Because the CYP1A1*3 and CYP1A1*4 alleles were not detected in the study population, analyses were performed for CYP1A1*2A (T-->C transition in the 3' noncoding region) and CYP1A1*2C (A-->G transition in exon 7, resulting in a substitution of Val for Ile) in 1134 patients with breast carcinoma and 1227 controls.

RESULTS

The frequencies of the variant allele were 38.3% and 38.8% among cases and controls (P = 0.91), respectively, for the CYP1A1*2A polymorphism, and 23.1% and 24.8% (P = 0.26) for the CYP1A1*2C polymorphism. Homozygosity for both variant alleles in these 2 polymorphic sites (CYP1A1*2B) was associated with a borderline significant odds ratio (OR) of 0.71 (95% confidence interval [CI], 0.47-1.06). The reduced risk was more pronounced among postmenopausal women with long duration (> 30 yrs) of menstruation (OR = 0.43; 95% CI, 0.19-0.99) or among women with a low waist-to-hip ratio (OR = 0.52; 95% CI, 0.28-0.94).

CONCLUSIONS

Results from the current study suggest that homozygosity for the CYP1A1*2A and CYP1A1*2C alleles in the CYP1A1 gene may be associated with a reduced risk for breast carcinoma, particularly among lean women with long-term endogenous estrogen exposure.

Polymorphisms Related to Estrogen and Xenobiotic Metabolism in Healthy Turkish Women

BACKGROUND

Polymorphisms which are inherited alterations in the activity of cytochrome P450 1B1 (CYP1B1), catechol O-methyltransferase (COMT), manganese superoxide dismutase (MnSOD) hold the potential to define differences in estrogen metabolism and, thereby, possibly explain inter-individual differences in cancer susceptibility associated with estrogen-mediated carcinogenesis.

METHODS

The CYP1B1 (L432V), COMT (V158M), MnSOD (Ala-9Val) genotypes, to examine estrogen metabolism and the influence of age of menarche/menopause, were determined by using different polymerase chain reaction-restriction fragment length polymorphisms (PCR-RFLP) based on genotyping assays.

RESULTS

Women who carried CYP1B1 *3 and COMT-L alleles had an earlier age at menarche than the women who carried wild alleles (chi2 = 4.57, p = 0.032), whereas I did not observe any correlation in women with all mutant alleles. Also, CYP1B1 *3 and COMT-H genotypes were common among postmenopausal women with a body mass index (BMI) > 27 kg/m2 (Fisher exact test, p = 0.044).

CONCLUSIONS

To my knowledge, this is the first genetic study on the association of these genes with susceptibility in Turkish women. Although the small sample size of each combination of estrogen metabolizing, results suggest that the CYP1B1 *3 and COMT-L alleles influence age at menarche in healthy Turkish women.