A multigene test for the risk of sporadic breast carcinoma

The rs9340799 polymorphism of the estrogen receptor alpha (ESR1) gene and its association with breast cancer susceptibility

The ESR1 rs9340799 polymorphism has been frequently investigated with regard to its association with breast cancer (BC) susceptibility, but the findings have been inconclusive. In this work, we aimed to address the inconsistencies in study findings by performing a systematic review and meta-analysis. Eligible studies were identified from the Web of Science, PubMed, Scopus, China National Knowledge Infrastructure, VIP and Wanfang databases based on the predefined inclusion and exclusion criteria. The pooled odds ratio (OR) was then calculated under five genetic models: homozygous (GG vs. AA), heterozygous (AG vs. AA), dominant (AG + GG vs. AA), recessive (GG vs. AA + AG) and allele (G vs. A). Combined results from 23 studies involving 34,721 subjects indicated a lack of significant association between the polymorphism and BC susceptibility (homozygous model, OR = 1.045, 95% CI 0.887-1.231, P = 0.601; heterozygous model, OR = 0.941, 95% CI 0.861-1.030, P = 0.186; dominant model, OR = 0.957, 95% CI 0.875-1.045, P = 0.327; recessive model, OR = 1.053, 95% CI 0.908-1.222, P = 0.495; allele model, OR = 0.987, 95% CI 0.919-1.059, P = 0.709). Subgroup analyses by ethnicity, menopausal status and study quality also revealed no statistically significant association (P > 0.05). In conclusion, our results showed that the ESR1 rs9340799 polymorphism was not associated with BC susceptibility, suggesting its limited potential as a genetic marker for BC.

Association between the COMT Val158Met polymorphism and risk of cancer: evidence from 99 case-control studies

Catechol-O-methyltransferase (COMT) plays a central role in DNA repair and estrogen-induced carcinogenesis. Many recent epidemiologic studies have investigated the association between the COMT Val158Met polymorphism and cancer risk, but the results are inconclusive. In this study, we performed a meta-analysis to investigate the association between cancer susceptibility and COMT Val158Met in different genetic models. Overall, no significant associations were found between COMT Val158Met polymorphism and cancer risk (homozygote model: odds ratio [OR] =1.05, 95% confidence interval [CI] = [0.98, 1.13]; heterozygote model: OR =1.01, 95% CI = [0.98, 1.04]; dominant model: OR =1.02, 95% CI [0.97, 1.06], and recessive model: OR =1.03, 95% CI [0.97, 1.09]). In the subgroup analysis of cancer type, COMT Val158Met was significantly associated with increased risks of bladder cancer in recessive model, and esophageal cancer in homozygote model, heterozygote model, and dominant model. Subgroup analyses based on ethnicities, COMT Val158Met was significantly associated with increased risk of cancer in homozygote and recessive model among Asians. In addition, homozygote, recessive, and dominant models were significantly associated with increased cancer risk in the subgroup of allele-specific polymerase chain reaction genotyping. Significant associations were not observed when data were stratified by the source of the controls. In summary, this meta-analysis suggested that COMT Val158Met polymorphism might not be a risk factor for overall cancer risk, but it might be involved in cancer development at least in some ethnic groups (Asian) or some specific cancer types (bladder and esophageal cell cancer). Further evaluations of more preclinical and epidemiological studies are required.

Progress in research of the BRCA1 gene in gastric cancer

Chemotherapy occupies an important position in the treatment of gastric cancer. Platinum drugs are commonly chemotherapy drugs for gastric cancer; however, sensitivity to these drugs varies among different patients. The breast cancer susceptibility gene 1 (BRCA1) is a tumor suppressor gene that is associated with sensitivity to platinum drugs. At present, the research on the BRCA1 gene is mainly focused on breast cancer, and there have been fewer studies on gastric cancer. This paper will give an overview of the structure and function of the BRCA1 gene and the relationship between BRCA1 and gastric cancer.

Association of COMT Val158Met polymorphism and breast cancer risk: an updated meta-analysis

BACKGROUND

Catechol-O-methyltransferase (COMT) is one of the most important enzymes involved in estrogen metabolism and its functional genetic polymorphisms may be associated with breast cancer (BC) risk. Many epidemiological studies have been conducted to explore the association between the COMT Val158Met polymorphism and breast cancer risk. However, the results remain inconclusive. In order to derive a more precise estimation of this relationship, a large meta-analysis was performed in this study.

METHODS

Systematic searches of the PubMed, Embase and Cochrane Library were performed. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to estimate the strength of the association.

RESULTS

A total of 56 studies including 34,358 breast cancer cases and 45,429 controls were included. Overall, no significant associations between the COMT Val158Met polymorphism and breast cancer risk were found for LL versus HH, HL versus HH, LL versus HL, recessive model LL versus HL+HH, and dominant model LL+HL versus HH. In subgroup analysis by ethnicity, source of controls, and menopausal status, there was still no significant association detected in any of the genetic models.

CONCLUSION

Our meta-analysis results suggest that the COMT Val158Met polymorphism may not contribute to breast cancer susceptibility.

VIRTUAL SLIDES

The virtual slides(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs4806123577708417.

Androgen receptor polyglutamine repeat number: models of selection and disease susceptibility

Variation in polyglutamine repeat number in the androgen receptor (AR CAGn) is negatively correlated with the transcription of androgen-responsive genes and is associated with susceptibility to an extensive list of human disease. Only a small portion of the heritability for many of these diseases is explained by conventional SNP-based genome-wide association studies, and the forces shaping AR CAGn among humans remains largely unexplored. Here, we propose evolutionary models for understanding selection at the AR CAG locus, namely balancing selection, sexual conflict, accumulation-selection, and antagonistic pleiotropy. We evaluate these models by examining AR CAGn-linked susceptibility to eight extensively studied diseases representing the diverse physiological roles of androgens, and consider the costs of these diseases by their frequency and fitness effects. Five diseases could contribute to the distribution of AR CAGn observed among contemporary human populations. With support for disease susceptibilities associated with long and short AR CAGn, balancing selection provides a useful model for studying selection at this locus. Gender-specific differences AR CAGn health effects also support this locus as a candidate for sexual conflict over repeat number. Accompanied by the accumulation of AR CAGn in humans, these models help explain the distribution of repeat number in contemporary human populations.

Principles in genetic risk assessment

Risk assessment constitutes an essential component of genetic counseling and testing, and the genetic risk should be estimated as accurately as possible for individual and family decision making. All relevant information retrieved from population studies and pedigree and genetic testing enhances the accuracy of the assessment of an individual's genetic risk. This review will focus on the following general aspects implicated in risk assessment: the increasing genetic information regarding disease; complex traits versus Mendelian disorders; and the influence of the environment and disease susceptibility. The influence of these factors on risk assessment will be discussed.

HOXA9 regulates BRCA1 expression to modulate human breast tumor phenotype

Breast cancer 1, early onset (BRCA1) expression is often reduced in sporadic breast tumors, even in the absence of BRCA1 genetic modifications, but the molecular basis for this is unknown. In this study, we identified homeobox A9 (HOXA9) as a gene frequently downregulated in human breast cancers and tumor cell lines and noted that reduced HOXA9 transcript levels associated with tumor aggression, metastasis, and patient mortality. Experiments revealed that loss of HOXA9 promoted mammary epithelial cell growth and survival and perturbed tissue morphogenesis. Restoring HOXA9 expression repressed growth and survival and inhibited the malignant phenotype of breast cancer cells in culture and in a xenograft mouse model. Molecular studies showed that HOXA9 restricted breast tumor behavior by directly modulating the expression of BRCA1. Indeed, ectopic expression of wild-type BRCA1 phenocopied the tumor suppressor function of HOXA9, and reducing BRCA1 levels or function inhibited the antitumor activity of HOXA9. Consistently, HOXA9 expression correlated with BRCA1 in clinical specimens and with tumor aggression in patients lacking estrogen receptor/progesterone receptor expression in their breast tissue. These findings indicate that HOXA9 restricts breast tumor aggression by modulating expression of the tumor suppressor gene BRCA1, which we believe provides an explanation for the loss of BRCA1 expression in sporadic breast tumors in the absence of BRCA1 genetic modifications.

Lack of association between catechol-O-methyltransferase Val108/158Met polymorphism and breast cancer risk: a meta-analysis of 25,627 cases and 34,222 controls

Epidemiological studies have evaluated the association between catechol-O-methyltransferase (COMT) Val108/158Met polymorphism and breast cancer risk. However, the results remain conflicting rather than conclusive. In order to derive a more precise estimation of the relationship, we performed this meta-analysis. Systematic searches of the PubMed and Medline databases were performed. A total of 41 studies including 25,627 cases and 34,222 controls were identified. Genotype distributions of COMT in the controls of all studies were in agreement with the Hardy-Weinberg equilibrium (HWE) except for three studies. When all 41 studies were pooled into the meta-analysis, there was no evidence for significant association between COMT Val108/158Met polymorphism and breast cancer risk (for Val/Met vs. Val/Val: OR = 0.99, 95% CI = 0.93-1.04; for Met/Met vs. Val/Val: OR = 0.96, 95% CI = 0.88-1.04; for dominant model: OR = 0.97, 95% CI = 0.92-1.03; for recessive model: OR = 0.97, 95% CI = 0.90-1.04). In the subgroup analyses by ethnicity, menopausal status, no significant associations were found in all genetic models. When sensitivity analyses were performed by excluding HWE-violating studies, all the results were not materially altered. In summary, the meta-analysis strongly suggests that COMT Val108/158Met polymorphism is not associated with increased breast cancer risk.

Potentially functional polymorphisms in ESR1 and breast cancer risk: a meta-analysis

Estrogen exposure is a central risk factor in the development of breast cancer. Estrogen receptor alpha (coded by ESR1) is the key mediator of estrogen response in mammary tissue. Genetic changes altering the expression of ESR1 is likely to affect breast cancer susceptibility. Since the identification of several potentially functional polymorphisms in ESR1 (rs2234693, rs9340799, rs1801132, rs3798577, rs2228480), molecular epidemiological studies were conducted in recent years to evaluate the association between polymorphisms and breast cancer risk in diverse populations. However, the results remain conflicting rather than conclusive. This current analysis on 10,300 breast cancer cases and 16,620 controls on rs2234693 showed a borderline significant decreased breast cancer risk for CC and CC/CT carriers (CC vs. TT: OR, 0.92, 95% CI, 0.86-0.99; CC/CT vs. TT: OR, 0.95, 95% CI, 0.89-1.00). Variant genotypes of the rs1801132 polymorphism were also associated with a decreased breast cancer risk in a dominant model in 5,649 cases and 6,856 controls (GG/GC vs. CC: OR, 0.92, 95% CI, 0.85-0.99). These results suggest that potentially functional ESR1 polymorphisms may play a low penetrance role in breast cancer susceptibility. SNPs rs9340799, rs3798577, rs2228480, and rs2077647 in ESR1 were not causative SNPs. SNPs rs2747648, rs1062577, and rs3020314 were recommended in further association studies and functional evaluations.

The roles of serum leptin concentration and polymorphism in leptin receptor gene at codon 109 in breast cancer

AIMS

We investigated the relationship between serum leptin concentrations and polymorphism of the leptin receptor gene and breast cancer.

METHODS

Serum leptin concentrations were measured by enzyme-linked immunosorbent assay in 47 women with invasive breast cancer compared with 41 age-matched controls without cancer. Genomic DNA was extracted from peripheral blood leukocytes. Genotyping of the leptin receptor gene at codon 109 (LEPR-109) was performed by polymerase chain reaction-restriction fragment length polymorphism.

RESULTS

Patients with breast cancer had a higher mean serum leptin concentration than women in the control group, but the difference was not statistically significant. Among those with breast cancer, the serum leptin concentration was higher in women with high-grade cancers (p = 0.020). The LEPR-109RR genotype was more frequent in premenopausal patients with tumors larger than 2 cm (p = 0.039) and in premenopausal women who were overweight (p = 0.029). Among patients with the LEPR-109RR genotype, higher mean serum leptin concentrations were present in those with triple-negative cancers (p = 0.048).

CONCLUSIONS

Our study suggests an association between serum leptin concentration and tumor progression. LEPR-109 polymorphism in premenopausal women appears to be associated with obesity and tumor progression.

Investigating the phenotypes and genotypes of breast cancer in women with African ancestry: the need for more genetic epidemiology

Disparities in incidence, mortality, and age of onset of breast cancer between women of African ancestry and women of other racial/ethnic backgrounds are poorly understood. A more comprehensive elaboration of genetic variants that occur in African women may facilitate a better understanding of the disease in African American women and explain the role of genetic admixture on the variation in the expression of the disease. Large-scale, population-based databases that document the cancer burden of Africa are lacking because of financial and infrastructural limitations. The development of such programs would represent an important cancer control and research strategy.

Estrogen receptor alpha polymorphisms and postmenopausal breast cancer risk

Background

The estrogen receptor alpha (ESR1) is a mediator of estrogen response in the breast. The most studied variants in this gene are the PvuII and XbaI polymorphisms, which have been associated to lower sensitivity to estrogen. We evaluated whether these polymorphisms were associated with breast cancer risk by means of an association study in a population of Caucasian postmenopausal women from the Rotterdam study and a meta-analysis of published data.

Methods

The PvuII and XbaI polymorphisms were genotyped in 3,893 women participants of the Rotterdam Study. Baseline information was obtained through a questionnaire. We conducted logistic regression analyses to assess the risk of breast cancer by each of the ESR1 genotypes. Meta-analyses of all publications on these relations were done by retrieving literature from Pubmed and by further checking the reference lists of the articles obtained.

Results

There were 38 women with previously diagnosed breast cancer. During follow-up, 152 were additionally diagnosed. The logistic regression analyses showed no difference in risk for postmenopausal breast cancer in carriers of the PvuII or XbaI genotypes neither in overall, incident or prevalent cases. No further evidence of a role of these variants was found in the meta-analysis.

Conclusions

Our results suggest that the ESR1 polymorphisms do not play a role in breast cancer risk in Caucasian postmenopausal women.

Mechanisms of Disease: adipokines and breast cancer—endocrine and paracrine mechanisms that connect adiposity and breast cancer

A vast number of epidemiological studies suggest an important, but still controversial, role for obesity and adipose tissue mass in breast cancer risk and an association with tumor phenotype. The main conclusions from these studies raise the possibility that the adipose tissue can act as an effector organ that influences both cancer risk and tumor behavior. Here we also review heterotypic mechanisms in breast-cancer tumorigenesis; these mechanisms involve soluble secreted factors from peritumoral cells, extracellular-matrix components and interactions between stromal cells and tumor cells that create a specific and local peritumoral microenvironment. As a special focus, we discuss the increasing evidence for a role of peritumoral adipose tissue and secreted adipokines (such as adiponectin and leptin) in breast cancer; furthermore, the cellular and molecular basis of the peritumoral 'desmoplastic' tissue reaction observed in breast cancer is reviewed in detail.

DRD2/DARPP-32 expression correlates with lymph node metastasis and tumor progression in patients with esophageal squamous cell carcinoma

BACKGROUND

Dopamine receptors (DRs) are members of seven transmembrane domain trimeric guanosine 5'-triphosphate (GTP)-binding protein-coupled receptor family. Through dopamine receptor activation, dopamine plays a significant role in regulating gene expression, such as induced tumor cell migration.

MATERIALS AND METHODS

We investigated DRD1 and DRD2 expressions in patients with esophageal squamous cell carcinoma (ESCC) for immunohistochemistry and analyzed differences between DRD1, DRD2, and DARPP-32 expressions of clinicopathological features in 122 patients with ESCC.

RESULTS

DRD1 immunostaining correlated with the pathologic grade (P = 0.0127), and DRD2 immunostaining correlated with the pathologic stage (P = 0.0432) and pN classification (P = 0.0112). A significant correlation was found between DRD1 and DRD2 expression (P = 0.0292). However, no correlation was observed between DRD1/DRD2 expression and DARPP-32 expression (P = 0.4555 and 0.4774, respectively). No correlation was observed between the DRD1/DRD2 expression and patient prognosis. To find the cooperative role between DRD1, DRD2, and DARPP-32 expressions, patients were classified into the different groups. In the DRD2/DARPP-32 combination, the (+/-) group was significantly correlated with pathologic stage (P = 0.0006), lymph node metastasis (P = 0.0001), pT (P = 0.0287), and tumor size (P = 0.0202). Moreover, patients with this combination showed a lower survival rate compared with the other three groups (P = 0.0287).

CONCLUSIONS

We conclude that DRD2/DARPP-32 expression is associated with tumor progression and that DRD2/DARPP-32 expressions may help predict prognosis in patients with ESCC.

Exploration of methods to identify polymorphisms associated with variation in DNA repair capacity phenotypes

Elucidating the relationship between polymorphic sequences and risk of common disease is a challenge. For example, although it is clear that variation in DNA repair genes is associated with familial cancer, aging and neurological disease, progress toward identifying polymorphisms associated with elevated risk of sporadic disease has been slow. This is partly due to the complexity of the genetic variation, the existence of large numbers of mostly low frequency variants and the contribution of many genes to variation in susceptibility. There has been limited development of methods to find associations between genotypes having many polymorphisms and pathway function or health outcome. We have explored several statistical methods for identifying polymorphisms associated with variation in DNA repair phenotypes. The model system used was 80 cell lines that had been resequenced to identify variation; 191 single nucleotide substitution polymorphisms (SNPs) are included, of which 172 are in 31 base excision repair pathway genes, 19 in 5 anti-oxidation genes, and DNA repair phenotypes based on single strand breaks measured by the alkaline Comet assay. Univariate analyses were of limited value in identifying SNPs associated with phenotype variation. Of the multivariable model selection methods tested: the easiest that provided reduced error of prediction of phenotype was simple counting of the variant alleles predicted to encode proteins with reduced activity, which led to a genotype including 52 SNPs; the best and most parsimonious model was achieved using a two-step analysis without regard to potential functional relevance: first SNPs were ranked by importance determined by random forests regression (RFR), followed by cross-validation in a second round of RFR modeling that included ever more SNPs in declining order of importance. With this approach six SNPs were found to minimize prediction error. The results should encourage research into utilization of multivariate analytical methods for epidemiological studies of the association of genetic variation in complex genotypes with risk of common diseases.

Candidate gene genotypes, along with conventional risk factor assessment, improve estimation of coronary heart disease risk in healthy UK men

BACKGROUND

One of the aims of cardiovascular genetics is to test the efficacy of the use of genetic information to predict cardiovascular risk. We therefore investigated whether inclusion of a set of common variants in candidate genes along with conventional risk factor (CRF) assessment enhanced coronary heart disease (CHD)-risk algorithms.

METHODS

We followed middle-aged men in the prospective Northwick Park Heart Study II (NPHSII) for 10.8 years and analyzed complete trait and genotype information available on 2057 men (183 CHD events).

RESULTS

Of the 12 genes previously associated with CHD risk, in stepwise multivariate risk analysis, uncoupling protein 2 (UCP2; P = 0.0001), apolipoprotein E (APOE; P = 0.0003), lipoprotein lipase (LPL; P = 0.007), and apolipoprotein AIV (APOA4; P = 0.04) remained in the model. Their combined area under the ROC curve (A(ROC)) was 0.62 (0.58-0.66) [12.6% detection rate for a 5% false positive rate (DR(5))]. The A(ROC) for the CRFs age, triglyceride, cholesterol, systolic blood pressure, and smoking was 0.66 (0.61-0.70) (DR(5) = 14.2%). Combining CRFs and genotypes significantly improved discrimination (P = 0.001). Inclusion of previously demonstrated interactions of smoking with LPL, interleukin-6 (IL6), and platelet/endothelial cell adhesion molecule (PECAM1) genotypes increased the A(ROC) to 0.72 (0.68-0.76) for a DR(5) of 19.1% (P = 0.01 vs CRF combined with genotypes).

CONCLUSIONS

For a modest panel of selected genotypes, CHD-risk estimates incorporating CRFs and genotype-risk factor interactions were more effective than risk estimates that used CRFs alone.

Relationships among serum leptin, leptin receptor gene polymorphisms, and breast cancer in Korea

Leptin plays an important role in the regulation of body fat homeostasis, and potential associations of leptin receptor gene (LEPR) polymorphisms with obesity have been suggested. Obesity is considered to relate to breast cancer. We assessed the role of leptin in relation to breast cancer. We measured the serum leptin concentrations of 45 Korean pre-treatment patients with breast cancer and 45 age-matched controls. By direct sequencing, we investigated four leptin receptor gene (LEPR) polymorphisms at codons 109, 223, 656, and 1019. There was no significant difference between the mean leptin concentrations of the patient and control groups in both pre- and post-menopausal women. The frequencies of the wild-type for LEPR codons 109, 223, and 1019 were very low. No increased risk estimate was found for the four LEPR polymorphisms. Our results indicate that it is difficult to explain breast cancer on the basis of serum leptin concentrations or polymorphisms in the LEPR gene.

Molecular Interactions of Leptin and Prostate Cancer

BACKGROUND

Epidemiological studies have found obesity to be a risk factor for prostate cancer. Our prior independent studies in women have reported a strong relationship between variants of OB (leptin) gene, body mass index, and age at menarche and sporadic breast cancer. The current study investigates an association between genetic variants of the human obesity gene, serum leptin levels, and body mass index in subjects with prostate carcinoma and in age- and gender-matched normal subjects.

METHODS

Blood samples from 69 patients with prostate cancer and 137 age-matched control subjects were collected. Serum leptin level was investigated by radioimmunoassay, and body mass index was calculated. Allele sizes were determined via standard polymerase chain reaction. Statistical analysis was performed using SPSS10.0 computer software.

RESULTS

There was a strong association with significantly elevated serum leptin levels, high body mass index, and higher frequency of LEPR longer alleles in patients with prostate cancer than in control subjects. By contrast, a modest but not significant increase in the frequency of LEP short alleles was found in patients with prostate cancer as compared with control subjects. Analysis within groups 1 (low leptin level and low body mass index) and 2 (other) showed a significant association only in group 2, with high frequency of OB gene variants (LEPR long alleles and LEP short alleles) in patients with prostate cancer but not in control subjects.

CONCLUSIONS

These results represent the first report of a significant association between specific leptin gene alleles, serum leptin levels, and body mass index in subjects with prostate cancer. Consistent with prior reports, we also report a significantly elevated serum leptin level in patients with prostate cancer, suggesting a strong link with obesity as an increased risk factor.

A functional polymorphism in the promoter region of leptin gene increases susceptibility for non-small cell lung cancer

Leptin hormone and receptor have been associated to cancer development and were identified in lung tissue. In this study, a functional polymorphism in the 5' flanking region of the leptin gene (LEP -2548 G/A) was found to increase susceptibility for non-small cell lung cancer [odds ratio (OR), 1.97; 95% confidence interval (CI), 1.13-3.43]. Age-adjusted logistic regression analysis in men indicated an association of AA genotype with adenocarcinoma (OR, 4.29; CI, 1.64-11.72) and squamous cell carcinoma (OR, 3.19; CI, 1.26-8.13). Logistic regression analysis confirmed the AA genotype as an independent risk factor for lung cancer after adjustment for age and gender (OR, 2.57; CI, 1.34-4.92). The AA genotype was overrepresented only in patients with non-metastatic disease (OR, 1.86; CI, 1.13-3.04). Kaplan-Meier analysis demonstrated an earlier age of onset for lung cancer in AA carriers (P=0.023). Results suggest the existence of genetic susceptibility for lung cancer in carriers of this LEP functional polymorphism. Further studies are warranted to extend knowledge of leptin involvement in lung cancer.

Implication of the folate-methionine metabolism pathways in susceptibility to follicular lymphomas

The incidence of follicular lymphoma (FL) in industrialized countries has been increasing since the 1950s. Polymorphisms in genes encoding key enzymes controlling folate-methionine metabolism, including methylenetetrahydrofolate reductase (MTHFR), methionine synthase (MS or MTR), serine hydroxymethyltransferase (SHMT), and thymidylate synthase (TS or TYMS), modify the risk of various cancers and possibly FL. This study specifically looks for an association between MTHFR, MTR, TYMS, and SHMT polymorphisms and the risk of FL. We carried out a case-control study with 172 patients diagnosed with FL and 206 control subjects. We report that the risk of FL was doubled by the association of one mutant allele at both MTHFR polymorphisms. Individuals with MTR 2756AA had 2-fold higher risk of FL, and subjects not having at least one TYMS 2R allele showed a 2-fold higher risk of FL. The MTR 2756AA genotype conferred a greater multivariate-adjusted relative risk of FL, and the risk was multiplied by almost 5 in the TYMS2R(-)/MTR 2756AA combination. In conclusion, common polymorphisms in key enzymes of the folate-methionine metabolism pathway result in an increased risk of FL and suggest that inadequate intake of dietary folate and other methyl donor nutrients may contribute to the development of this malignancy.

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.

Oligogenic combinations associated with breast cancer risk in women under 53 years of age

Common, but weakly penetrant, functional polymorphisms probably account for most of the genetic risk for breast cancer in the general population. Current polygenic risk models assume that component genes act independently. To test for potential gene-gene interactions, single nucleotide polymorphisms in ten genes with known or predicted roles in breast carcinogenesis were examined in a case-control study of 631 Caucasian women diagnosed with breast cancer under the age of 53 years and 1,504 controls under the age of 53 years. Association of breast cancer risk with individual genes and with two- and three-gene combinations was analyzed. Sixty-nine oligogenotypes from 37 distinct two- and three-gene combinations met stringent criteria for significance. Significant odds ratios (ORs) covered a 12-fold range: 0.5-5.9. Of the observed ORs, 17% differed significantly from the ORs predicted by a model of independent gene action, suggesting epistasis, i.e., that these genes interact to affect breast cancer risk in a manner not predictable from single gene effects. Exploration of the biological basis for these oligogenic interactions might reveal etiologic or therapeutic insights into breast cancer and other cancers.

Breast cancer genetics: unsolved questions and open perspectives in an expanding clinical practice

Breast cancer is the most common cause of cancer death in the United Kingdom, with a lifetime risk of one in nine in women. Only 5-10% of all cancers is thought to be due to strongly penetrant inherited predisposing genes, such as BRCA1 and BRCA2. However, other less penetrant genes, including some autosomal recessive genes, are likely to be of etiological importance in other families. This review addresses the current knowledge of breast cancer susceptibility genes and explores the possibilities for future developments. Features of tumor pathology, prognosis, and the scope for targeted treatments in mutation carriers are discussed, and the management of known carriers and those at increased risk for developing breast cancer are evaluated. Genetic testing for cancer susceptibility may become widely available in the future, and has important ethical and management implications.

Oestrogen receptor alpha gene haplotype and postmenopausal breast cancer risk: a case control study

INTRODUCTION

Oestrogen receptor alpha, which mediates the effect of oestrogen in target tissues, is genetically polymorphic. Because breast cancer development is dependent on oestrogenic influence, we have investigated whether polymorphisms in the oestrogen receptor alpha gene (ESR1) are associated with breast cancer risk.

METHODS

We genotyped breast cancer cases and age-matched population controls for one microsatellite marker and four single-nucleotide polymorphisms (SNPs) in ESR1. The numbers of genotyped cases and controls for each marker were as follows: TAn, 1514 cases and 1514 controls; c.454-397C --> T, 1557 cases and 1512 controls; c.454-351A --> G, 1556 cases and 1512 controls; c.729C --> T, 1562 cases and 1513 controls; c.975C --> G, 1562 cases and 1513 controls. Using logistic regression models, we calculated odds ratios (ORs) and 95% confidence intervals (CIs). Haplotype effects were estimated in an exploratory analysis, using expectation-maximisation algorithms for case-control study data.

RESULTS

There were no compelling associations between single polymorphic loci and breast cancer risk. In haplotype analyses, a common haplotype of the c.454-351A --> G or c.454-397C --> T and c.975C --> G SNPs appeared to be associated with an increased risk for ductal breast cancer: one copy of the c.454-351A --> G and c.975C --> G haplotype entailed an OR of 1.19 (95% CI 1.06-1.33) and two copies with an OR of 1.42 (95% CI 1.15-1.77), compared with no copies, under a model of multiplicative penetrance. The association with the c.454-397C --> T and c.975C --> G haplotypes was similar. Our data indicated that these haplotypes were more influential in women with a high body mass index. Adjustment for multiple comparisons rendered the associations statistically non-significant.

CONCLUSION

We found suggestions of an association between common haplotypes in ESR1 and the risk for ductal breast cancer that is stronger in heavy women.

Oestrogen exposure and breast cancer risk

Epidemiological and experimental evidence implicates oestrogens in the aetiology of breast cancer. Most established risk factors for breast cancer in humans probably act through hormone-related pathways, and increased concentrations of circulating oestrogens have been found to be strongly associated with increased risk for breast cancer in postmenopausal women. This article explores the evidence for the hypothesis that oestrogen exposure is a major determinant of risk for breast cancer. We review recent data on oestrogens and breast cancer risk, consider oestrogen-related risk factors and examine possible mechanisms that might account for the effects of oestrogen. Finally, we discuss how these advances might influence strategies for reducing the incidence of breast cancer.