Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • BREAST-CANCER  (12)
  • breast cancer  (7)
  • 1
    Keywords: CANCER ; MODEL ; RISK ; FAMILY ; SUSCEPTIBILITY ; breast cancer ; BREAST-CANCER ; BRCA1 ; WOMEN ; MUTATIONS ; MANAGEMENT ; VARIANT ; CHEK2 ; ALLELES ; ATM ; GENOME-WIDE ASSOCIATION ; BOADICEA MODEL ; PALB2
    Abstract: If breast cancers arise independently in each breast the odds ratio (OR) for bilateral breast cancer for carriers of CHEK2*11.00delC should be similar to 5.5, the square of the reported OR for a first primary (OR, 2.34). In the subset of bilateral cases with one or more affected relatives, the predicted carrier OR should be similar to 9. We have tested these predictions in a pooled set of 1,828 cases with 2 primaries and 7,030 controls from 8 studies. The second primary OR for CHEK2*1100delC carriers was 6.43 (95% confidence interval, 4.339.56; P 〈 0.0001), significantly greater than the published estimate for a first primary (P 〈 0.001) but consistent with its square. The predicted increase in carrier OR with increasing numbers of affected relatives was seen using bilateral cases from the UK (P-trend = 0.0003) and Finland (P-trend = 0.37), although not using those from the Netherlands and Russia (P = 0.001 for heterogeneity between countries). Based on a standard genetic model, we predict lifetime risks for CHEK2*1100delC carrier and noncarrier daughters of bilateral breast cancer cases of 37% and 18%, respectively. Our results imply that clinical management of the daughter of a woman with bilateral breast cancer should depend on her CHEK2*1100delC carrier status. This and other moderate penetrance breast cancer susceptibility alleles, together with family history data, will thus identify increasing numbers of women at potentially very high risk. Before such predictions are accepted by clinical geneticists, however, further population-based evidence is needed on the effect of CHEK2*1100delC and other moderate penetrance alleles in women with a family history of breast cancer. (Cancer Epidemiol Biomarkers Prev 2009;18(1):230-4)
    Type of Publication: Journal article published
    PubMed ID: 19124502
    Signatur Availability
    BibTip Others were also interested in ...
  • 2
    Keywords: CANCER ; SURVIVAL ; RISK ; FAMILY ; ASSOCIATION ; SUSCEPTIBILITY ; BREAST-CANCER ; MUTATIONS ; MUTATION CARRIERS ; susceptibility loci ; GENOME-WIDE ASSOCIATION ; CONSORTIUM
    Abstract: Purpose: An assay for the single-nucleotide polymorphism (SNP), rs61764370, has recently been commercially marketed as a clinical test to aid ovarian cancer risk evaluation in women with family histories of the disease. rs67164370 is in a 3'-UTR miRNA binding site of the KRAS oncogene and is a candidate for epithelial ovarian cancer (EOC) susceptibility. However, only one published article, analyzing fewer than 1,000 subjects in total, has examined this association. Experimental Design: Risk association was evaluated in 8,669 cases of invasive EOC and 10,012 controls from 19 studies participating in the Ovarian Cancer Association Consortium, and in 683 cases and 2,044 controls carrying BRCA1 mutations from studies in the Consortium of Investigators of Modifiers of BRCA1/2. Prognosis association was also examined in a subset of five studies with progression-free survival (PFS) data and 18 studies with all-cause mortality data. Results: No evidence of association was observed between genotype and risk of unselected EOC (OR = 1.02, 95% CI: 0.95-1.10), serous EOC (OR = 1.08, 95% CI: 0.98-1.18), familial EOC (OR = 1.09, 95% CI: 0.78-1.54), or among women carrying deleterious mutations in BRCA1 (OR = 1.09, 95% CI: 0.88-1.36). There was little evidence for association with survival time among unselected cases (HR = 1.10, 95% CI: 0.99-1.22), among serous cases (HR = 1.12, 95% CI = 0.99-1.28), or with PFS in 540 cases treated with carboplatin and paclitaxel (HR = 1.18, 95% CI: 0.93-1.52). Conclusions: These data exclude the possibility of an association between rs61764370 and a clinically significant risk of ovarian cancer or of familial ovarian cancer. Use of this SNP for ovarian cancer clinical risk prediction, therefore, seems unwarranted.
    Type of Publication: Journal article published
    PubMed ID: 21385923
    Signatur Availability
    BibTip Others were also interested in ...
  • 3
    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
    Signatur Availability
    BibTip Others were also interested in ...
  • 4
    Keywords: EXPRESSION ; GENE ; BREAST-CANCER ; OVARIAN-CANCER ; PROSTATE-CANCER ; telomere length ; COMMON VARIANT ; susceptibility loci ; GENOME-WIDE ASSOCIATION ; FUNCTIONAL VARIATION
    Abstract: Several studies have reported associations between multiple cancer types and single-nucleotide polymorphisms (SNPs) on chromosome 5p15, which harbours TERT and CLPTM1L, but no such association has been reported with endometrial cancer. To evaluate the role of genetic variants at the TERT-CLPTM1L region in endometrial cancer risk, we carried out comprehensive fine-mapping analyses of genotyped and imputed SNPs using a custom Illumina iSelect array which includes dense SNP coverage of this region. We examined 396 SNPs (113 genotyped, 283 imputed) in 4,401 endometrial cancer cases and 28,758 controls. Single-SNP and forward/backward logistic regression models suggested evidence for three variants independently associated with endometrial cancer risk (P = 4.9 x 10(-6) to P = 7.7 x 10(-5)). Only one falls into a haplotype previously associated with other cancer types (rs7705526, in TERT intron 1), and this SNP has been shown to alter TERT promoter activity. One of the novel associations (rs13174814) maps to a second region in the TERT promoter and the other (rs62329728) is in the promoter region of CLPTM1L; neither are correlated with previously reported cancer-associated SNPs. Using TCGA RNASeq data, we found significantly increased expression of both TERT and CLPTM1L in endometrial cancer tissue compared with normal tissue (TERT P = 1.5 x 10(-18), CLPTM1L P = 1.5 x 10(-19)). Our study thus reports a novel endometrial cancer risk locus and expands the spectrum of cancer types associated with genetic variation at 5p15, further highlighting the importance of this region for cancer susceptibility.
    Type of Publication: Journal article published
    PubMed ID: 25487306
    Signatur Availability
    BibTip Others were also interested in ...
  • 5
    Keywords: EXPRESSION ; carcinoma ; polymorphism ; BREAST-CANCER ; COLON-CANCER ; GENOME-WIDE ASSOCIATION ; UDP-GLUCURONOSYLTRANSFERASES ; IRON TRANSPORT ; FAMILY SLC25 ; HEPHAESTIN
    Abstract: BACKGROUND: Defective cellular transport processes can lead to aberrant accumulation of trace elements, iron, small molecules and hormones in the cell, which in turn may promote the formation of reactive oxygen species, promoting DNA damage and aberrant expression of key regulatory cancer genes. As DNA damage and uncontrolled proliferation are hallmarks of cancer, including epithelial ovarian cancer (EOC), we hypothesized that inherited variation in the cellular transport genes contributes to EOC risk. METHODS: In total, DNA samples were obtained from 14,525 case subjects with invasive EOC and from 23,447 controls from 43 sites in the Ovarian Cancer Association Consortium (OCAC). Two hundred seventy nine SNPs, representing 131 genes, were genotyped using an Illumina Infinium iSelect BeadChip as part of the Collaborative Oncological Gene-environment Study (COGS). SNP analyses were conducted using unconditional logistic regression under a log-additive model, and the FDR q〈0.2 was applied to adjust for multiple comparisons. RESULTS: The most significant evidence of an association for all invasive cancers combined and for the serous subtype was observed for SNP rs17216603 in the iron transporter gene HEPH (invasive: OR = 0.85, P = 0.00026; serous: OR = 0.81, P = 0.00020); this SNP was also associated with the borderline/low malignant potential (LMP) tumors (P = 0.021). Other genes significantly associated with EOC histological subtypes (p〈0.05) included the UGT1A (endometrioid), SLC25A45 (mucinous), SLC39A11 (low malignant potential), and SERPINA7 (clear cell carcinoma). In addition, 1785 SNPs in six genes (HEPH, MGST1, SERPINA, SLC25A45, SLC39A11 and UGT1A) were imputed from the 1000 Genomes Project and examined for association with INV EOC in white-European subjects. The most significant imputed SNP was rs117729793 in SLC39A11 (per allele, OR = 2.55, 95% CI = 1.5-4.35, p = 5.66x10-4). CONCLUSION: These results, generated on a large cohort of women, revealed associations between inherited cellular transport gene variants and risk of EOC histologic subtypes.
    Type of Publication: Journal article published
    PubMed ID: 26091520
    Signatur Availability
    BibTip Others were also interested in ...
  • 6
    Keywords: carcinoma ; MODELS ; POPULATION ; VARIANTS ; BREAST-CANCER ; TRANSCRIPTION FACTORS ; PROFILES ; SET ; susceptibility loci ; GENOME-WIDE ASSOCIATION
    Abstract: BACKGROUND: Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by co-expression may also be enriched for additional EOC risk associations. METHODS: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly co-expressed with each selected TF gene in the unified microarray data set of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this data set were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls). RESULTS: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P〈0.05 and FDR〈0.05). These results were replicated (P〈0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network. CONCLUSION: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development. IMPACT: Network analysis integrating large, context-specific data sets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization.
    Type of Publication: Journal article published
    PubMed ID: 26209509
    Signatur Availability
    BibTip Others were also interested in ...
  • 7
    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
    Signatur Availability
    BibTip Others were also interested in ...
  • 8
    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
    Signatur Availability
    BibTip Others were also interested in ...
  • 9
    Keywords: BREAST-CANCER ; cancer risk ; SQUAMOUS-CELL CARCINOMA ; FOOD FREQUENCY QUESTIONNAIRE ; pooled analysis ; susceptibility loci ; GENOME-WIDE ASSOCIATION ; dihydropyrimidine dehydrogenase ; SERINE HYDROXYMETHYLTRANSFERASE ; CARBON TRANSFER PATHWAY
    Abstract: SCOPE: We reevaluated previously reported associations between variants in pathways of one-carbon (1-C) (folate) transfer genes and ovarian carcinoma (OC) risk, and in related pathways of purine and pyrimidine metabolism, and assessed interactions with folate intake. METHODS AND RESULTS: Odds ratios (OR) for 446 genetic variants were estimated among 13 410 OC cases and 22 635 controls, and among 2281 cases and 3444 controls with folate information. Following multiple testing correction, the most significant main effect associations were for dihydropyrimidine dehydrogenase (DPYD) variants rs11587873 (OR = 0.92; p = 6 x 10(-5) ) and rs828054 (OR = 1.06; p = 1 x 10(-4) ). Thirteen variants in the pyrimidine metabolism genes, DPYD, DPYS, PPAT, and TYMS, also interacted significantly with folate in a multivariant analysis (corrected p = 9.9 x 10(-6) ) but collectively explained only 0.2% of OC risk. Although no other associations were significant after multiple testing correction, variants in SHMT1 in 1-C transfer, previously reported with OC, suggested lower risk at higher folate (pinteraction = 0.03-0.006). CONCLUSION: Variation in pyrimidine metabolism genes, particularly DPYD, which was previously reported to be associated with OC, may influence risk; however, stratification by folate intake is unlikely to modify disease risk appreciably in these women. SHMT1 SNP-by-folate interactions are plausible but require further validation. Polymorphisms in selected genes in purine metabolism were not associated with OC.
    Type of Publication: Journal article published
    PubMed ID: 25066213
    Signatur Availability
    BibTip Others were also interested in ...
  • 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
    Signatur Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...