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  • 1
    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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  • 2
    Keywords: CANCER ; RISK ; GENE ; BIOMARKERS ; ASSOCIATION ; polymorphism ; SUSCEPTIBILITY LOCUS ; BREAST ; HEALTH ; MUTATIONS ; ENVELOPE ; GENOME-WIDE ASSOCIATION ; SYNE-1 ; CANDIDATE SNPS ; single nucleotide
    Abstract: We genotyped 13 single nucleotide polymorphisms (SNPs) in the estrogen receptor alpha gene (ESR1) region in three population-based case-control studies of epithelial ovarian cancer conducted in the United States, comprising a total of 1,128 and 1,866 non-Hispanic white invasive cases and controls, respectively. A SNP 19 kb downstream of ESR1. (rs2295190, G-to-T change) was associated with invasive ovarian cancer risk, with a per-T-allele odds ratio (OR) of 1.24 [95% confidence interval (CI), 1.06-1.44, P = 0.0061. rs2295190 is a nonsynonymous coding SNP in a neighboring gene called spectrin repeat containing, nuclear envelope I (SYNE1), which is involved in nuclear organization and structural integrity, function of the Golgi apparatus, and cytokinesis. An isoform encoded by SYNE1 has been reported to be down-regulated in ovarian and other cancers. rs2295190 was genotyped in an additional 12 Studies through the Ovarian Cancer Association Consortium, with 5,279 invasive epithelial cases and 7,450 controls. The per-T-allele OR for this 12-study set was 1.09 (95% CI, 1.02-1.17; P = 0.017). Results for the serous subtype in the 15 combined studies were similar to those overall (n = 3,545; OR, 1.09; 95% Cl, 1.01-1.18; P = 0.025), and our findings were strongest for the mucinous subtype (n = 447; OR, 1.32; 95% CI, 1.11-1.58; P = 0.002). No association was observed for the endometrioid Subtype. In an additional analysis of 1,459 borderline ovarian cancer cases and 7,370 controls, rs2295190 was not associated with risk. These data provide suggestive evidence that the rs2295190 T allele, or another allele in linkage disequilibrium with it, may be associated with increased risk of invasive ovarian cancer. Cancer Epidemiol Biomarkers Prev; 190); 245-50. (C) 2010 AACR
    Type of Publication: Journal article published
    PubMed ID: 20056644
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  • 3
    Keywords: CANCER ; PROSTATE ; RISK ; BIOMARKERS ; ASSOCIATION ; SUSCEPTIBILITY ; BREAST ; CONSORTIUM ; MULTIPLE
    Abstract: Background: We previously reported an association between rs2660753, a prostate cancer susceptibility polymorphism, and invasive epithelial ovarian cancer (EOC; OR = 1.2, 95% CI = 1.0-1.4, P-trend = 0.01) that showed a stronger association with the serous histological subtype (OR = 1.3, 95% CI = 1.1-1.5, P-trend = 0.003). Methods: We sought to replicate this association in 12 other studies comprising 4,482 cases and 6,894 controls of white non-Hispanic ancestry in the Ovarian Cancer Association Consortium. Results: No evidence for an association with all cancers or serous cancers was observed in a combined analysis of data from the replication studies (all: OR = 1.0, 95% CI = 0.9-1.1, P-trend = 0.61; serous: OR = 1.0, 95% CI = 0.9-1.1, P-trend = 0.85) or from the combined analysis of discovery and replication studies (all: OR = 1.0, 95% CI = 1.0-1.1, P-trend = 0.28; serous: OR = 1.1, 95% CI = 1.0-1.2, P-trend = 0.11). There was no evidence for statistical heterogeneity in ORs across the studies. Conclusions: Although rs2660753 is a strong prostate cancer susceptibility polymorphism, the association with another hormonally related cancer, invasive EOC, is not supported by this replication study. Impact: Our findings, based on a larger sample size, emphasize the importance of replicating potentially promising genetic risk associations.
    Type of Publication: Journal article published
    PubMed ID: 21415361
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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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