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  • 1
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    Keywords: CANCER ; EXPRESSION ; CELL-PROLIFERATION ; RISK ; METABOLISM ; polymorphism ; POLYMORPHISMS ; breast cancer ; WOMEN ; gene-environment interaction ; DEHYDROGENASE ; SNPs ; ESTROGEN PLUS PROGESTIN ; REPLACEMENT THERAPY ; mammographic density ; 5-ALPHA-REDUCTASE ; hormone therapy ; Postmenopausal breast cancer risk ; Case-control association study ; MCF-7 ; Progesterone metabolism
    Abstract: Menopausal hormone therapy (MHT) is associated with an increased breast cancer risk in postmenopausal women, with combined estrogen-progestagen therapy posing a greater risk than estrogen monotherapy. However, few studies focused on potential effect modification of MHT-associated breast cancer risk by genetic polymorphisms in the progesterone metabolism. We assessed effect modification of MHT use by five coding single nucleotide polymorphisms (SNPs) in the progesterone metabolizing enzymes AKR1C3 (rs7741), AKR1C4 (rs3829125, rs17134592), and SRD5A1 (rs248793, rs3736316) using a two-center population-based case-control study from Germany with 2,502 postmenopausal breast cancer patients and 4,833 matched controls. An empirical-Bayes procedure that tests for interaction using a weighted combination of the prospective and the retrospective case-control estimators as well as standard prospective logistic regression were applied to assess multiplicative statistical interaction between polymorphisms and duration of MHT use with regard to breast cancer risk assuming a log-additive mode of inheritance. No genetic marginal effects were observed. Breast cancer risk associated with duration of combined therapy was significantly modified by SRD5A1_rs3736316, showing a reduced risk elevation in carriers of the minor allele (p (interaction,empirical-Bayes) = 0.006 using the empirical-Bayes method, p (interaction,logistic regression) = 0.013 using logistic regression). The risk associated with duration of use of monotherapy was increased by AKR1C3_rs7741 in minor allele carriers (p (interaction,empirical-Bayes) = 0.083, p (interaction,logistic regression) = 0.029) and decreased in minor allele carriers of two SNPs in AKR1C4 (rs3829125: p (interaction,empirical-Bayes) = 0.07, p (interaction,logistic regression) = 0.021; rs17134592: p (interaction,empirical-Bayes) = 0.101, p (interaction,logistic regression) = 0.038). After Bonferroni correction for multiple testing only SRD5A1_rs3736316 assessed using the empirical-Bayes method remained significant. Postmenopausal breast cancer risk associated with combined therapy may be modified by genetic variation in SRD5A1. Further well-powered studies are, however, required to replicate our finding.
    Type of Publication: Journal article published
    PubMed ID: 21947678
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  • 3
    Keywords: radiotherapy ; SUSCEPTIBILITY ; DAMAGE ; MUTATIONS ; MAMMALIAN-CELLS ; OXIDATIVE STRESS ; METAANALYSIS ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; GENOME-WIDE ASSOCIATION ; MITOCHONDRIAL-DNA
    Abstract: Base excision repair (BER) removes DNA damage induced by endogenous reactive oxygen species or ionizing radiation, important breast cancer risk factors. Genetic variation associated with impaired BER might thus increase breast cancer risk. Therefore, we assessed risk associations of 123 common single nucleotide polymorphisms (SNPs) in 19 BER genes in 1,639 postmenopausal breast cancer cases and 1,967 controls from the German population-based case-control study MARIE. SNPs were tagging SNPs representing genetic variation across the gene together with potentially functional SNPs. Risk associations were assessed using conditional logistic regression, adjusted for potential breast cancer risk factors. Significant associations between polymorphisms and breast cancer risk were found for one SNP in PARP2 and three SNPs in the mitochondrial DNA polymerase gamma, POLG. A SNP in the promoter region of POLG (rs2856268, A〉G) showed a protective effect for homozygous GG carriers (odds ratio 0.81, 95% confidence intervals 0.65-1.00). Joint analysis of an enlarged sample set and haplotype analysis supported the results for POLG. Quantification of POLG mRNA expression in lymphocytes of 148 breast cancer patients revealed higher mRNA levels for rs2856268 GG carriers (p value = 0.038). A luciferase promoter assay showed significant differences between constructs harboring the respective alleles. Taken together, our results suggest that genetic variation in the POLG promoter region affects DNA polymerase gamma levels in mitochondria. This could contribute to the reported increase in mitochondrial mutation frequency resulting in dysfunction and altered breast cancer risk. Risk effects and the functional impact of the POLG promoter variant require further confirmation.
    Type of Publication: Journal article published
    PubMed ID: 22684821
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  • 4
    Keywords: GENES ; PREDICTION ; fibrosis ; secretion ; SINGLE NUCLEOTIDE POLYMORPHISMS ; XRCC1 ; GENOTYPE ; ATM ; BREAST-CANCER PATIENTS ; NORMAL TISSUE RADIOSENSITIVITY
    Abstract: BACKGROUND AND PURPOSE: Reported associations between risk of radiation-induced normal tissue injury and single nucleotide polymorphisms (SNPs) in TGFB1, encoding the pro-fibrotic cytokine transforming growth factor-beta 1 (TGF-beta1), remain controversial. To overcome publication bias, the international Radiogenomics Consortium collected and analysed individual patient level data from both published and unpublished studies. MATERIALS AND METHODS: TGFB1 SNP rs1800469 c.-1347T〉C (previously known as C-509T) genotype, treatment-related data, and clinically-assessed fibrosis (measured at least 2years after therapy) were available in 2782 participants from 11 cohorts. All received adjuvant breast radiotherapy. Associations between late fibrosis or overall toxicity, reported by STAT (Standardised Total Average Toxicity) score, and rs1800469 genotype were assessed. RESULTS: No statistically significant associations between either fibrosis or overall toxicity and rs1800469 genotype were observed with univariate or multivariate regression analysis. The multivariate odds ratio (OR), obtained from meta-analysis, for an increase in late fibrosis grade with each additional rare allele of rs1800469 was 0.98 (95% Confidence Interval (CI) 0.85-1.11). This CI is sufficiently narrow to rule out any clinically relevant effect on toxicity risk in carriers vs. non-carriers with a high probability. CONCLUSION: This meta-analysis has not confirmed previous reports of association between fibrosis or overall toxicity and rs1800469 genotype in breast cancer patients. It has demonstrated successful collaboration within the Radiogenomics Consortium.
    Type of Publication: Journal article published
    PubMed ID: 23199655
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  • 5
    Abstract: Base excision repair (BER) removes DNA damage induced by endogenous reactive oxygen species or ionizing radiation, important breast cancer risk factors. Genetic variation associated with impaired BER might thus increase breast cancer risk. Therefore, we assessed risk associations of 123 common single nucleotide polymorphisms (SNPs) in 19 BER genes in 1,639 postmenopausal breast cancer cases and 1,967 controls from the German population-based case-control study MARIE. SNPs were tagging SNPs representing genetic variation across the gene together with potentially functional SNPs. Risk associations were assessed using conditional logistic regression, adjusted for potential breast cancer risk factors. Significant associations between polymorphisms and breast cancer risk were found for one SNP in PARP2 and three SNPs in the mitochondrial DNA polymerase gamma, POLG. A SNP in the promoter region of POLG (rs2856268, A〉G) showed a protective effect for homozygous GG carriers (odds ratio 0.81, 95% confidence intervals 0.65-1.00). Joint analysis of an enlarged sample set and haplotype analysis supported the results for POLG. Quantification of POLG mRNA expression in lymphocytes of 148 breast cancer patients revealed higher mRNA levels for rs2856268 GG carriers (p value = 0.038). A luciferase promoter assay showed significant differences between constructs harboring the respective alleles. Taken together, our results suggest that genetic variation in the POLG promoter region affects DNA polymerase gamma levels in mitochondria. This could contribute to the reported increase in mitochondrial mutation frequency resulting in dysfunction and altered breast cancer risk. Risk effects and the functional impact of the POLG promoter variant require further confirmation.
    Type of Publication: Journal article published
    PubMed ID: 22684821
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  • 6
    Keywords: EXPRESSION ; IONIZING-RADIATION ; SURVIVAL ; tumor ; DIAGNOSIS ; FOLLOW-UP ; COHORT ; GLUTATHIONE ; METALLOTHIONEIN ; GENOME-WIDE ASSOCIATION
    Abstract: We assessed whether variants in 22 oxidative stress-related genes are associated with mortality of breast cancer patients and whether the associations differ according to radiotherapy. Using a prospective cohort of 1348 postmenopausal breast cancer patients, we estimated hazard ratios (HR) and 95% confidence intervals (CI) for 109 single nucleotide polymorphisms (SNPs) using Cox proportional hazards regression. Validation of results was attempted using two Scandinavian studies. Eleven SNPs in MT2A, NFE2L2, NQO1, PRDX1, and PRDX6 were significantly associated with overall mortality after a median follow-up of 5.7 years. Three SNPs in NQO1 (rs2917667) and in PRDX6 (rs7314, rs4916362) were consistently associated with increased risk of dying across all three study populations (pooled: HRNQO1_rs2917667 1.20, 95% CI 1.00-1.44, p = 0.051; HRPRDX6_rs7314 1.16, 95% CI 1.00-1.35, p = 0.056, HRPRDX6_rs4916362 1.14 95% CI 1.00-1.32, p = 0.062). Potential effect modification by radiotherapy was found for CAT_rs769218. In conclusion, genetic variants in NQO1 and PRDX6 may modify breast cancer prognosis.
    Type of Publication: Journal article published
    PubMed ID: 23489758
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  • 7
    Keywords: CELLS ; EXPRESSION ; ASSOCIATION ; score ; resistance ; RECURRENCE ; PREDICTION ; TAMOXIFEN ; ENDOCRINE THERAPY ; KI67
    Abstract: The majority of luminal type breast carcinomas are slowly growing tumors with an overall favorable prognosis. However, a proportion of cases (luminal B tumors) are characterized by coactivation of growth factor receptors or non-canonical ER signaling and a poorer clinical outcome. The aim of our study was to evaluate whether the expression of proteins that are part of the ER signaling network may be used to distinguish low-risk from high-risk luminal tumors. Unsupervised hierarchical clustering of a set of proteins either involved in estrogen receptor signaling or associated with resistance to endocrine therapy was performed in a series of 443 postmenopausal breast carcinomas. Using this approach, we were able to reproduce the established classification with two distinct groups of luminal (estrogen receptor positive) tumors, one group of HER2-associated tumors and a group of triple-negative tumors. However, neither proliferation nor the expression of one or more of the ER-co-factors or resistance-associated factors, but PR-expression was identified as the most important stratifier distinguishing between the two luminal groups. In fact, not only the four identified clusters were shown to be significantly associated with patient outcome, PR-expression alone or in combination with Ki-67-stains stratified ER-positive tumors into a low-risk and a high-risk group. Our data indicate that defining luminal B tumors by the presence of high-risk criteria (loss of PR-expression or increased proliferation) provides a robust and highly significant stratification of ER-positive breast carcinomas into luminal A and B.
    Type of Publication: Journal article published
    PubMed ID: 23558572
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  • 8
    Keywords: RISK ; ALLELES ; GENETIC SUSCEPTIBILITY ; LOCI ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; COMMON VARIANTS ; EPISTASIS ; IDENTIFIES 2 ; ERAP1
    Abstract: Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70 917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46 450 breast cancer cases and 42 461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P 〈 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P 〈 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P 〈 10(-8). Results from the second analytic approach were consistent with those from the first (P 〉 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
    Type of Publication: Journal article published
    PubMed ID: 24242184
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  • 9
    Keywords: THERAPY ; STATIN USE
    Abstract: Lipid-lowering drugs are used for the prevention of cardiovascular diseases. Statins are the most commonly used lipid-lowering drugs. Evidence from preclinical and observational studies suggests that statins might improve the prognosis of breast cancer patients. We analyzed data from the German MARIEplus study, a large prospective population-based cohort of patients aged 50 and older, who were diagnosed with breast cancer between 2001 and 2005. For overall mortality, breast-cancer specific mortality, and non-breast-cancer mortality, we included 3189 patients with invasive breast cancer stage I-IV, and for recurrence risk 3024 patients with breast cancer stage I-III. We used Cox proportional hazards models to assess the association with self-reported lipid-lowering drug use at recruitment. We stratified by study region, tumor grade, and estrogen/progesterone receptor status, and adjusted for age, tumor size, nodal status, metastases (stage I-IV only), menopausal hormone treatment, mode of detection, radiotherapy, and smoking. Mortality analyses were additionally adjusted for cardiovascular disease, diabetes mellitus and body-mass index. During a median follow-up of 5.3 years, 404 of 3189 stage I-IV patients died, and 286 deaths were attributed to breast cancer. Self-reported use of lipid-lowering drugs was non-significantly associated with increased non-breast cancer mortality (Hazard ratio (HR) 1.49, 95% confidence interval (CI) 0.88-2.52) and increased overall mortality (HR 1.21, 95% CI 0.87-1.69) whereas no association with breast cancer-specific mortality was found (HR 1.04, 0.67-1.60). Restricted to stage I-III breast cancer patients, 387 recurrences occurred during a median follow-up of 5.4 years. We found lipid-lowering drug use to be non-significantly associated with a reduced risk of recurrence (HR 0.83, 95% CI 0.54-1.24) and of breast cancer-specific mortality (HR 0.89, 95% CI 0.52-1.49). Although compatible with previous findings of an improved prognosis associated with statin use, our results do not provide clear supportive evidence for an association with lipid-lowering drug use due to imprecise estimates.
    Type of Publication: Journal article published
    PubMed ID: 24086446
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  • 10
    Keywords: EXPRESSION ; transcription ; CHROMATIN ; WOMEN ; REVEALS ; susceptibility loci ; GENOME-WIDE ASSOCIATION ; AFRICAN-AMERICAN ; ESTROGEN-RECEPTOR BINDING ; DETERMINANT
    Abstract: The 10q26 locus in the second intron of FGFR2 is the locus most strongly associated with estrogen-receptor-positive breast cancer in genome-wide association studies. We conducted fine-scale mapping in case-control studies genotyped with a custom chip (iCOGS), comprising 41 studies (n = 89,050) of European ancestry, 9 Asian ancestry studies (n = 13,983), and 2 African ancestry studies (n = 2,028) from the Breast Cancer Association Consortium. We identified three statistically independent risk signals within the locus. Within risk signals 1 and 3, genetic analysis identified five and two variants, respectively, highly correlated with the most strongly associated SNPs. By using a combination of genetic fine mapping, data on DNase hypersensitivity, and electrophoretic mobility shift assays to study protein-DNA binding, we identified rs35054928, rs2981578, and rs45631563 as putative functional SNPs. Chromatin immunoprecipitation showed that FOXA1 preferentially bound to the risk-associated allele (C) of rs2981578 and was able to recruit ER alpha to this site in an allele-specific manner, whereas E2F1 preferentially bound the risk variant of rs35054928. The risk alleles were preferentially found in open chromatin and bound by Ser5 phosphorylated RNA polymerase II, suggesting that the risk alleles are associated with changes in transcription. Chromatin conformation capture demonstrated that the risk region was able to interact with the promoter of FGFR2, the likely target gene of this risk region. A role for FOXA1 in mediating breast cancer susceptibility at this locus is consistent with the finding that the FGFR2 risk locus primarily predisposes to estrogen-receptor-positive disease.
    Type of Publication: Journal article published
    PubMed ID: 24290378
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