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  • 1
    Keywords: CANCER ; EXPRESSION ; SURVIVAL ; neoplasms ; PATHWAY ; RISK ; GENE ; ASSOCIATION ; SUSCEPTIBILITY ; BREAST ; BREAST-CANCER ; METASTASIS ; POOR-PROGNOSIS ; HIGH-FREQUENCY ; GENETIC SUSCEPTIBILITY ; OVARIAN ; association study ; CORRELATE ; germline variation ; PIK3CA MUTATIONS ; PTEN LOSS
    Abstract: Background:Somatic mutations in phosphoinositide-3-kinase catalytic subunit alpha (PIK3CA) are frequent in breast tumours and have been associated with oestrogen receptor (ER) expression, human epidermal growth factor receptor-2 overexpression, lymph node metastasis and poor survival. The goal of this study was to evaluate the association between inherited variation in this oncogene and risk of breast cancer.Methods:A single-nucleotide polymorphism from the PIK3CA locus that was associated with breast cancer in a study of Caucasian breast cancer cases and controls from the Mayo Clinic (MCBCS) was genotyped in 5436 cases and 5280 controls from the Cancer Genetic Markers of Susceptibility (CGEMS) study and in 30 949 cases and 29 788 controls from the Breast Cancer Association Consortium (BCAC).Results:Rs1607237 was significantly associated with a decreased risk of breast cancer in MCBCS, CGEMS and all studies of white Europeans combined (odds ratio (OR)=0.97, 95% confidence interval (CI) 0.95-0.99, P=4.6 x 10(-3)), but did not reach significance in the BCAC replication study alone (OR=0.98, 95% CI 0.96-1.01, P=0.139).Conclusion:Common germline variation in PIK3CA does not have a strong influence on the risk of breast cancer.
    Type of Publication: Journal article published
    PubMed ID: 22033276
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  • 2
    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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  • 3
    Keywords: RISK ; BRCA1 ; OVARIAN-CANCER ; METAANALYSIS ; ESTROGEN ; ALLELES ; CHEK2-ASTERISK-1100DELC ; CONFER SUSCEPTIBILITY ; COMMON VARIANTS ; GENOTYPE IMPUTATION
    Abstract: Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining approximately 14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748 breast cancer cases and 18,084 controls together with 46,785 cases and 42,892 controls from 41 studies genotyped on a 211,155-marker custom array (iCOGS). Analyses were restricted to women of European ancestry. We generated genotypes for more than 11 million SNPs by imputation using the 1000 Genomes Project reference panel, and we identified 15 new loci associated with breast cancer at P 〈 5 x 10(-8). Combining association analysis with ChIP-seq chromatin binding data in mammary cell lines and ChIA-PET chromatin interaction data from ENCODE, we identified likely target genes in two regions: SETBP1 at 18q12.3 and RNF115 and PDZK1 at 1q21.1. One association appears to be driven by an amino acid substitution encoded in EXO1.
    Type of Publication: Journal article published
    PubMed ID: 25751625
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  • 4
    Keywords: CANCER ; COMMON ; DISEASE ; RISK ; RISKS ; GENE ; GENES ; primary ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; single nucleotide polymorphism ; SUSCEPTIBILITY ; VARIANTS ; BREAST ; breast cancer ; BREAST-CANCER ; STAGE ; PATTERNS ; OVARIAN-CANCER ; SNP ; DATABASE ; Jun ; POPULATIONS ; familial risk ; BRCA2 MUTATIONS ; SUSCEPTIBILITY GENE ; SINGLE ; AGGREGATION ; VARIANT ; ALLELE ; SINGLE NUCLEOTIDE POLYMORPHISMS ; SNPs ; CANCER SUSCEPTIBILITY ; ALLELES ; LEVEL ; familial aggregation ; single-nucleotide ; UNIT ; ENGLAND ; LOCI ; CHEK2-ASTERISK-1100DELC ; breast cancer susceptibility ; GENOME-WIDE ASSOCIATION ; association study ; GENETIC-SUSCEPTIBILITY ; GROWTH-FACTOR RECEPTOR-2
    Abstract: Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r(2) 〉 0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P 〈 10(-7)). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P 〈 0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach
    Type of Publication: Journal article published
    PubMed ID: 17529967
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  • 5
    Keywords: CANCER ; EXPRESSION ; DISEASE ; RISK ; GENE ; GENES ; ASSOCIATION ; SUSCEPTIBILITY ; BREAST ; breast cancer ; BREAST-CANCER ; genetics ; familial risk ; USA ; LOCI ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; Genetic ; 33 ; COMMON VARIANTS ; Genome-wide association studies
    Abstract: Genome-wide association studies (GWAS) have identified seven breast cancer susceptibility loci, but these explain only a small fraction of the familial risk of the disease. Five of these loci were identified through a two-stage GWAS involving 390 familial cases and 364 controls in the first stage, and 3,990 cases and 3,916 controls in the second stage(1). To identify additional loci, we tested over 800 promising associations from this GWAS in a further two stages involving 37,012 cases and 40,069 controls from 33 studies in the CGEMS collaboration and Breast Cancer Association Consortium. We found strong evidence for additional susceptibility loci on 3p (rs4973768: per-allele OR 1.11, 95% CI = 1.08-1.13, P = 4.1 x 10(-23)) and 17q (rs6504950: per-allele OR 0.95, 95% CI = 0.92-0.97, P = 1.4 x 10(-8)). Potential causative genes include SLC4A7 and NEK10 on 3p and COX11 on 17q
    Type of Publication: Journal article published
    PubMed ID: 19330027
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  • 6
    Keywords: RISK ; OVARIAN-CANCER ; BRCA2 MUTATIONS ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; ALLELES ; LOCI ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; COMMON VARIANTS ; IDENTIFIES 2
    Abstract: Background: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium. Methods: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression. Results: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval 1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2. Conclusion: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.
    Type of Publication: Journal article published
    PubMed ID: 24548884
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  • 7
    Keywords: RISK ; chemotherapy ; MUTATION CARRIERS ; METAANALYSIS ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; CANCER SUSCEPTIBILITY LOCI ; COMMON VARIANTS ; 14Q24.1 RAD51L1 ; IDENTIFIES 3
    Abstract: Invasive lobular breast cancer (ILC) accounts for 10-15% of all invasive breast carcinomas. It is generally ER positive (ER+) and often associated with lobular carcinoma in situ (LCIS). Genome-wide association studies have identified more than 70 common polymorphisms that predispose to breast cancer, but these studies included predominantly ductal (IDC) carcinomas. To identify novel common polymorphisms that predispose to ILC and LCIS, we pooled data from 6,023 cases (5,622 ILC, 401 pure LCIS) and 34,271 controls from 36 studies genotyped using the iCOGS chip. Six novel SNPs most strongly associated with ILC/LCIS in the pooled analysis were genotyped in a further 516 lobular cases (482 ILC, 36 LCIS) and 1,467 controls. These analyses identified a lobular-specific SNP at 7q34 (rs11977670, OR (95% CI) for ILC = 1.13 (1.09-1.18), P = 6.0x10(-10); P-het for ILC vs IDC ER+ tumors = 1.8x10(-4)). Of the 75 known breast cancer polymorphisms that were genotyped, 56 were associated with ILC and 15 with LCIS at P〈0.05. Two SNPs showed significantly stronger associations for ILC than LCIS (rs2981579/10q26/FGFR2, P-het = 0.04 and rs889312/5q11/MAP3K1, P-het = 0.03); and two showed stronger associations for LCIS than ILC (rs6678914/1q32/LGR6, P-het = 0.001 and rs1752911/6q14, P-het = 0.04). In addition, seven of the 75 known loci showed significant differences between ER+ tumors with IDC and ILC histology, three of these showing stronger associations for ILC (rs11249433/1p11, rs2981579/10q26/FGFR2 and rs10995190/10q21/ZNF365) and four associated only with IDC (5p12/rs10941679; rs2588809/14q24/RAD51L1, rs6472903/8q21 and rs1550623/2q31/CDCA7). In conclusion, we have identified one novel lobular breast cancer specific predisposition polymorphism at 7q34, and shown for the first time that common breast cancer polymorphisms predispose to LCIS. We have shown that many of the ER+ breast cancer predisposition loci also predispose to ILC, although there is some heterogeneity between ER+ lobular and ER+ IDC tumors. These data provide evidence for overlapping, but distinct etiological pathways within ER+ breast cancer between morphological subtypes.
    Type of Publication: Journal article published
    PubMed ID: 24743323
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  • 8
    Keywords: RISK ; prognosis ; PROGRESSION ; CYCLOPHOSPHAMIDE ; METAANALYSIS ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; EPIRUBICIN ; LOCI ; GENOME-WIDE ASSOCIATION ; GENOTYPE IMPUTATION
    Abstract: Background: Survival after a diagnosis of breast cancer varies considerably between patients, and some of this variation may be because of germline genetic variation. We aimed to identify genetic markers associated with breast cancer-specific survival. Methods: We conducted a large meta-analysis of studies in populations of European ancestry, including 37 954 patients with 2900 deaths from breast cancer. Each study had been genotyped for between 200 000 and 900 000 single nucleotide polymorphisms (SNPs) across the genome; genotypes for nine million common variants were imputed using a common reference panel from the 1000 Genomes Project. We also carried out subtype-specific analyses based on 6881 estrogen receptor (ER)-negative patients (920 events) and 23 059 ER-positive patients (1333 events). All statistical tests were two-sided. Results: We identified one new locus (rs2059614 at 11q24.2) associated with survival in ER-negative breast cancer cases (hazard ratio [HR] = 1.95, 95% confidence interval [CI] = 1.55 to 2.47, P = 1.91 x 10(-8)). Genotyping a subset of 2113 case patients, of which 300 were ER negative, provided supporting evidence for the quality of the imputation. The association in this set of case patients was stronger for the observed genotypes than for the imputed genotypes. A second locus (rs148760487 at 2q24.2) was associated at genome-wide statistical significance in initial analyses; the association was similar in ER-positive and ER-negative case patients. Here the results of genotyping suggested that the finding was less robust. Conclusions: This is currently the largest study investigating genetic variation associated with breast cancer survival. Our results have potential clinical implications, as they confirm that germline genotype can provide prognostic information in addition to standard tumor prognostic factors.
    Type of Publication: Journal article published
    PubMed ID: 25890600
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  • 9
    Keywords: PEPTIDE ; RECEPTOR ; CANCER ; CELLS ; EXPRESSION ; GROWTH ; GROWTH-FACTOR ; IN-VITRO ; tumor ; human ; RISK ; GENE ; SAMPLES ; TUMORS ; PATIENT ; SUSCEPTIBILITY ; BREAST ; breast cancer ; BREAST-CANCER ; PROGRESSION ; AGE ; MUTATION ; TUMOR PROGRESSION ; SIGNALING PATHWAY ; MUTATIONS ; BLOOD-PRESSURE ; EPITHELIAL- CELLS ; FACTOR BETA-1 GENE ; GROWTH-FACTOR-BETA ; GROWTH-FACTOR-BETA-1 GENE ; HeLa cells ; MYOCARDIAL-INFARCTION ; T29-〉C POLYMORPHISM
    Abstract: There is evidence that transforming growth factor (TGF)beta acts as a suppressor of tumor initiation but also as a promoter of tumor progression when the antiproliferative effect of the TGFbeta signaling pathway has been overridden by other oncogenic mutations. Several somatic mutations that disrupt the TGFbeta-SMAD signaling pathway have been reported in human breast tumors. We have examined the association between single nucleotide polymorphisms (SNPs) in the TGFbeta1 gene and the incidence of invasive breast cancer in three case-control series, with a maximum of 3987 patients and 3867 controls, median age similar to50 years, and range 22-92 years. The promoter SNP, C-509T, and the T +29C signal-peptide SNP (encoding Leu10Pro) are in strong linkage disequilibrium. They are both significantly associated with increased incidence of invasive breast cancer in a recessive manner [odds ratios: (TT versus C-carrier), 1.25; 95% confidence intervals 1.06-1.48; P = 0.009 and (ProPro versus Leu-carrier), 1.21; 95% confidence intervals 1.05-1.37; P = 0.01]. The G-800A SNP was not significantly associated with incidence of breast cancer. The C-509T SNP is not contained within a known consensus sequence for a promoter regulatory element and therefore unlikely to affect TGFbeta1 expression, whereas the Leu10Pro signal peptide substitution potentially affects TGFbeta1 secretion. Transfections of HeLa cells with constructs encoding either the Pro or Leu forms of TGFbeta1 and driven by the cytomegalovirus promoter indicate that the signal peptide with Pro at residue 10 causes a 2.8-fold increase in secretion compared with the Leu form. These data indicate that the allele encoding Pro10 is associated with increased rates of TGFbeta1 secretion and with increased incidence of invasive breast cancer for the population samples described. It is estimated that 3% of all breast cancer cases may be attributable to Pro10 homozygosity
    Type of Publication: Journal article published
    PubMed ID: 12750287
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  • 10
    Keywords: RECEPTOR ; APOPTOSIS ; CANCER ; HISTORY ; RISK ; SAMPLE ; TUMOR-NECROSIS-FACTOR ; FAMILY ; BIOMARKERS ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; single nucleotide polymorphism ; FREQUENCIES ; BREAST ; breast cancer ; BREAST-CANCER ; HEALTH ; AGE ; WOMEN ; SNP ; cancer risk ; GENOTYPES ; HETEROGENEITY ; FAMILIES ; VARIANT ; SINGLE NUCLEOTIDE POLYMORPHISMS ; ESTROGEN ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; ALLELES ; biomarker ; GENOTYPE ; FAMILY-HISTORY ; USA ; CANCER-RISK ; Sample Size ; CONSORTIUM ; ERCC4 ; RECEPTOR STATUS ; PROGESTERONE-RECEPTOR GENE ; CASP8
    Abstract: Previous studies have suggested that minor alleles for ERCC4 rs744154, TNF rs361525, CASP10 rs13010627, PGR rs1042838, and BID rs8190315 may influence breast cancer risk, but the evidence is inconclusive due to their small sample size. These polymorphisms were genotyped in more than 30,000 breast cancer cases and 30,000 controls, primarily of European descent, from 30 studies in the Breast Cancer Association Consortium. We calculated odds ratios (OR) and 95% confidence intervals (95% CI) as a measure of association. We found that the minor alleles for these polymorphisms were not related to invasive breast cancer risk overall in women of European descent: ECCR4 per-allele OR (95% CI) = 0.99 (0.97-1.02), minor allele frequency = 27.5%; TNF 1.00 (0.95-1.06), 5.0%; CASP10 1.02 (0.98-1.07), 6.5%; PGR 1.02 (0.99-1.06), 15.3%; and BID 0.98 (0.86-1.12), 1.7%. However, we observed significant between-study heterogeneity for associations with risk for single-nucleotide polymorphisms (SNP) in CASP10, PGR, and BID. Estimates were imprecise for women of Asian and African descent due to small numbers and lower minor allele frequencies (with the exception of BID SNP). The ORs for each copy of the minor allele were not significantly different by estrogen or progesterone receptor status, nor were any significant interactions found between the polymorphisms and age or family history of breast cancer. In conclusion, our data provide persuasive evidence against an overall association between invasive breast cancer risk and ERCC4 rs744154, TNF rs361525, CASPIO rs13010627, PGR rs1042838, and BID rs8190315 genotypes among women of European descent. (Cancer Epidemiol Biomarkers Prev 2009;18(5):1610-6)
    Type of Publication: Journal article published
    PubMed ID: 19423537
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