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  • 1
    Keywords: CANCER ; MODEL ; COMMON ; RISK ; GENE ; GENES ; BIOLOGY ; ASSOCIATION ; SUSCEPTIBILITY ; VARIANTS ; FREQUENCIES ; BREAST ; breast cancer ; BREAST-CANCER ; ovarian cancer ; OVARIAN-CANCER ; genetics ; SNP ; cancer risk ; REPLICATION ; case-control studies ; molecular biology ; case-control study ; REGRESSION ; VARIANT ; SNPs ; GENOTYPE ; CANCER-RISK ; LOCI ; GENOME-WIDE ASSOCIATION ; genetic association ; Genetic ; Genome-wide association studies ; INVASIVE OVARIAN
    Abstract: Because both ovarian and breast cancer are hormone-related and are known to have some predisposition genes in common, we evaluated 11 of the most significant hits (six with confirmed associations with breast cancer) from the breast cancer genome-wide association study for association with invasive ovarian cancer. Eleven SNPs were initially genotyped in 2927 invasive ovarian cancer cases and 4143 controls from six ovarian cancer case-control studies. Genotype frequencies in cases and controls were compared using a likelihood ratio test in a logistic regression model stratified by study. Initially, three SNPs (rs2107425 in MRPL23, rs7313833 in PTHLH, rs3803662 in TNRC9) were weakly associated with ovarian cancer risk and one SNP (rs4954956 in NXPH2) was associated with serous ovarian cancer in non-Hispanic white subjects (P-trend 〈 0.1). These four SNPs were then genotyped in an additional 4060 cases and 6308 controls from eight independent studies. Only rs4954956 was significantly associated with ovarian cancer risk both in the replication study and in combined analyses. This association was stronger for the serous histological subtype [per minor allele odds ratio (OR) 1.07 95% CI 1.01-1.13, P-trend = 0.02 for all types of ovarian cancer and OR 1.14 95% CI 1.07-1.22, P-trend = 0.00017 for serous ovarian cancer]. In conclusion, we found that rs4954956 was associated with increased ovarian cancer risk, particularly for serous ovarian cancer. However, none of the six confirmed breast cancer susceptibility variants we tested was associated with ovarian cancer risk. Further work will be needed to identify the causal variant associated with rs4954956 or elucidate its function
    Type of Publication: Journal article published
    PubMed ID: 19304784
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  • 2
    Keywords: CANCER ; MODEL ; POPULATION ; RISK ; SITE ; SITES ; GENE ; GENES ; BIOMARKERS ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; single nucleotide polymorphism ; SUSCEPTIBILITY ; VARIANTS ; HEALTH ; ovarian cancer ; OVARIAN-CANCER ; WOMEN ; REPLICATION ; glycosylation ; ONCOLOGY ; SINGLE NUCLEOTIDE POLYMORPHISMS ; biomarker ; CANCER-RISK ; Genetic ; single nucleotide
    Abstract: Aberrant glycosylation is a well-described hallmark of cancer. In a previous ovarian cancer case control study that examined polymorphisms in 26 glycosylation-associated genes, we found strong statistical evidence (P = 0.00017) that women who inherited two copies of a single-nucleotide polymorphism in the UDP-N-acetylgalactosamine:polypeptide N-acetylgalactosaminyltransferase, GALNT1, had decreased ovarian cancer risk. The current study attempted to replicate this observation. The GALNT1 single-nucleotide polymorphism rs17647532 was genotyped in 6,965 cases and 8,377 controls from 14 studies forming the Ovarian Cancer Association Consortium. The fixed effects estimate per rs17647532 allele was null (odds ratio, 0.99; 95% confidence interval, 0.92-1.07). When a recessive model was fit, the results were unchanged. Test for hetero geneity of the odds ratios revealed consistency across the 14 replication sites but significant differences compared with the original study population (P = 0.03). This study underscores the need for replication of putative findings in genetic association studies. Cancer Epidemiol Biomarkers Prev; 19(2); 600-4. (C) 2010 AACR
    Type of Publication: Journal article published
    PubMed ID: 20142253
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  • 3
    Keywords: CANCER ; neoplasms ; RISK ; RISKS ; SAMPLE ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; single nucleotide polymorphism ; BREAST ; breast cancer ; BREAST-CANCER ; NO ; ovarian cancer ; OVARIAN-CANCER ; REDUCED RISK ; COLORECTAL-CANCER ; cancer risk ; EPITHELIAL-CELLS ; CANCER RISKS ; REPLICATION ; GROWTH-FACTOR-BETA ; SUSCEPTIBILITY GENE ; HETEROGENEITY ; ONCOLOGY ; RE ; BRCA2 ; SINGLE NUCLEOTIDE POLYMORPHISMS ; SNPs ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; analysis ; USA ; CANDIDATE ; CANCER-RISK ; COMMON VARIANT ; CASP8 GENE ; GENOME-WIDE ASSOCIATION ; association study ; CONSORTIUM ; NUCLEOTIDE
    Abstract: The Ovarian Cancer Association Consortium selected 7 candidate single nucleotide polymorphisms (SNPs), for which there is evidence from previous studies of an association with variation in ovarian cancer or breast cancer risks. The SNPs selected for analysis were F31I (rs2273535) in AURKA, N372H (rs144848) in BRCA2, rs2854344 in intron 17 of RB1, rs2811712 5' flanking CDKN2A, rs523349 in the 3' UTR of SRD5A2, D302H (rs1045485) in CASP8 and L10P (rs1982073) in TGFB1. Fourteen studies genotyped 4,624 invasive epithelial ovarian cancer cases and 8,113 controls of white non-Hispanic origin. A marginally significant association was found for RB1 when all studies were included [ordinal odds ratio (OR) 0.88 (95% confidence interval (CI) 0.79-1.00) p = 0.041 and dominant OR 0.87 (95% CI 0.76-0.98) p = 0.025]; when the studies that originally suggested an association were excluded, the result was suggestive although no longer statistically significant (ordinal OR 0.92, 95% CI 0.79-1.06). This SNP has also been shown to have an association with decreased risk in breast cancer. There was a suggestion of an association for AURKA, when one study that caused significant study heterogeneity was excluded [ordinal OR 1.10 (95% CI 1.01-1.20) p = 0.027; dominant OR 1.12 (95% CI 1.01-1.24) p = 0.03]. The other 5 SNPs in BRCA2, CDKN2A, SRD5A2, CASP8 and TGFB1 showed no association with ovarian cancer risk; given the large sample size, these results can also be considered to be informative. These null results for SNPs identified from relatively large initial studies shows the importance of replicating associations by a consortium approach. (C) 2008 Wiley-Liss, Inc
    Type of Publication: Journal article published
    PubMed ID: 18431743
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  • 4
    Keywords: CANCER ; EXPRESSION ; carcinoma ; CELL ; PATHWAY ; CLASSIFICATION ; RISK ; RISKS ; SITE ; GENE ; GENES ; TUMORS ; IMPACT ; CARCINOGENESIS ; BIOMARKERS ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; HEALTH ; AGE ; ovarian cancer ; OVARIAN-CANCER ; etiology ; CARCINOMAS ; ORIGIN ; ONCOLOGY ; ASSOCIATIONS ; biomarker ; methods ; OVARIAN ; MicroRNAs ; LOW-GRADE ; GENETIC-VARIATION ; Genetic ; Type ; COMMON POLYMORPHISMS ; FOLATE ; SYNTHASE MESSENGER-RNA
    Abstract: Background: We previously reported the risks of ovarian carcinoma for common polymorphisms in one-carbon transfer genes. We sought to replicate associations for DPYD rs1801265, DNMT3A rs13420827, MTHFD1 rs1950902, MTHFS rs17284990, and TYMS rs495139 with risk of ovarian carcinoma overall and to use the large sample of assembled cases to investigate associations by histologic type. Methods: Associations were evaluated in the Ovarian Cancer Association Consortium, including 16 studies of 5,593 epithelial ovarian carcinoma cases and 9,962 controls of white non-Hispanic origin. Odds ratios (OR) and 95% confidence intervals (CI) were adjusted for age and study site. Results: The five polymorphisms were not associated with ovarian carcinoma overall (P-trend 〉 0.13); however, associations for the minor allele at TYMS rs495139 were observed for carcinomas of mucinous type (OR, 1.19; 95% CI, 1.03-1.39; P = 0.02), clear cell type (OR, 0.86; 95% CI, 0.75-0.99; P = 0.04), and endometrioid type (OR, 0.90; 95% CI, 0.81-0.99; P = 0.04; Pheterogeneity = 0.001). Restriction to low-grade mucinous carcinomas further strengthened the association for the mucinous type (OR, 1.32; 95% CI, 1.07-1.62; P = 0.01). TYMS rs495139 was not associated with serous type (OR, 1.06; 95% CI, 1.00-1.13; P = 0.05). Conclusions: TYMS rs495139 may be associated with a differential risk of ovarian carcinoma types, indicating the importance of accurate histopathologic classification. Impact: Biomarkers that distinguish ovarian carcinoma types are few, and TYMS rs495139 may provide a novel clue to type etiology. Cancer Epidemiol Biomarkers Prev; 19(7); 1822-30. (C) 2010 AACR
    Type of Publication: Journal article published
    PubMed ID: 20570913
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  • 5
    Keywords: CANCER ; MODEL ; PATHWAY ; PATHWAYS ; ALGORITHM ; RISK ; GENE ; GENES ; SAMPLE ; DNA ; FAMILY ; BIOMARKERS ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; single nucleotide polymorphism ; VARIANTS ; STAGE ; HEALTH ; BRCA1 ; ovarian cancer ; OVARIAN-CANCER ; WOMEN ; MUTATION ; SNP ; cancer risk ; MUTATIONS ; MULTIVARIATE ; UNITED-STATES ; REPLICATION ; VALIDITY ; inflammation ; STATES ; ONCOLOGY ; FAMILIES ; VARIANT ; SINGLE NUCLEOTIDE POLYMORPHISMS ; SNPs ; ARRAY ; METAANALYSIS ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; biomarker ; analysis ; HAPLOTYPE ; USA ; CANDIDATE ; cancer research ; CANCER-RISK ; COMMUNITY ; REPAIR GENES ; RATIO ; CONSORTIUM ; NUCLEOTIDE ; STATE ; genetic variants ; COLLABORATIVE ANALYSIS ; HORMONAL FACTORS ; STATES CASE-CONTROL
    Abstract: Over 22,000 cases of ovarian cancer were diagnosed in 2007 in the United States, but only a fraction of them can be attributed to mutations in highly penetrant genes such as BRCA1. To determine whether low-penetrance genetic variants contribute to ovarian cancer risk, we genotyped 1,536 single nucleotide polymorphisms (SNP) in several candidate gene pathways in 848 epithelial ovarian cancer cases and 798 controls in the North Carolina Ovarian Cancer Study (NCO) using a customized Illumina array. The inflammation gene interleukin-18 (IL18) showed the strongest evidence for association with epithelial ovarian cancer in a gene-by-gene analysis (P = 0.002) with a 〈 25% chance of being a false-positive finding (q value = 0.240). Using a multivariate model search algorithm over 11 IL18 tagging SNPs, we found that the association was best modeled by rs1834481. Further, this SNP uniquely tagged a significantly associated IL18 haplotype and there was an increased risk of epithelial ovarian cancer per rs1834481 allele (odds ratio, 1.24; 95% confidence interval, 1.06-1.45). In a replication stage, 12 independent studies from the Ovarian Cancer Association Consortium (OCAC) genotyped rs1834481 in an additional 5,877 cases and 7,791 controls. The fixed effects estimate per rs1834481 allele was null (odds ratio, 0.99; 95% confidence interval, 0.94-1.05) when data from the 12 OCAC studies were combined. The effect estimate remained unchanged with the addition of the initial North Carolina Ovarian Cancer Study data. This analysis shows the importance of consortia, like the OCAC, in either confirming or refuting the validity of putative findings in studies with smaller sample sizes. (Cancer Epidemiol Biomarkers Prev 20081-17(12):3567-72)
    Type of Publication: Journal article published
    PubMed ID: 19064572
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  • 6
    Keywords: CANCER ; CANCER CELLS ; CELLS ; EXPRESSION ; CELL ; PROSTATE ; RISK ; GENE ; GENES ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; single nucleotide polymorphism ; SUSCEPTIBILITY ; SUSCEPTIBILITY LOCUS ; VARIANTS ; DISCOVERY ; STAGE ; ASSAY ; ovarian cancer ; OVARIAN-CANCER ; genetics ; SNP ; COLORECTAL-CANCER ; cancer risk ; GENOTYPES ; CANCER-CELLS ; genotyping ; telomerase ; REPLICATION ; microenvironment ; case-control study ; ASSOCIATIONS ; VARIANT ; SINGLE NUCLEOTIDE POLYMORPHISMS ; SCIENCE ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; GENOTYPE ; LOCUS ; INCREASED RISK ; CANCER-RISK ; OVARIAN ; 8Q24 ; MYC ; GENOME-WIDE ASSOCIATION ; CONSORTIUM ; Genetic ; CONTRIBUTE ; single nucleotide ; INCESSANT OVULATION
    Abstract: We hypothesized that variants in genes expressed as a consequence of interactions between ovarian cancer cells and the host micro-environment could contribute to cancer susceptibility. We therefore used a two-stage approach to evaluate common single nucleotide polymorphisms (SNPs) in 173 genes involved in stromal epithelial interactions in the Ovarian Cancer Association Consortium (OCAC). In the discovery stage, cases with epithelial ovarian cancer (n = 675) and controls (n = 1,162) were genotyped at 1,536 SNPs using an Illumina GoldenGate assay. Based on Positive Predictive Value estimates, three SNPs-PODXL rs1013368, ITGA6 rs13027811, and MMP3 rs522616-were selected for replication using TaqMan genotyping in up to 3,059 serous invasive cases and 8,905 controls from 16 OCAC case-control studies. An additional 18 SNPs with Pper-allele〈0.05 in the discovery stage were selected for replication in a subset of five OCAC studies (n = 1,233 serous invasive cases; n = 3,364 controls). The discovery stage associations in PODXL, ITGA6, and MMP3 were attenuated in the larger replication set (adj. Pper-allele 〉= 0.5). However genotypes at TERT rs7726159 were associated with ovarian cancer risk in the smaller, five-study replication study (Pper-allele=0.03). Combined analysis of the discovery and replication sets for this TERT SNP showed an increased risk of serous ovarian cancer among non-Hispanic whites [adj. ORper-allele 1.14 (1.04-1.24) p = 0.003]. Our study adds to the growing evidence that, like the 8q24 locus, the telomerase reverse transcriptase locus at 5p15.33, is a general cancer susceptibility locus
    Type of Publication: Journal article published
    PubMed ID: 20628624
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