Your email was sent successfully. Check your inbox.

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

Proceed reservation?

Export
Filter
  • OVARIAN-CANCER  (21)
  • 1
    Keywords: CANCER ; tumor ; carcinoma ; neoplasms ; POPULATION ; RISK ; GENE ; TUMORS ; ASSOCIATION ; LINKAGE ; polymorphism ; SUSCEPTIBILITY ; ovarian cancer ; OVARIAN-CANCER ; SNP ; mass spectrometry ; MELANOMA ; MASS-SPECTROMETRY ; LINKAGE DISEQUILIBRIUM ; MUTATIONS ; Jun ; MALIGNANT-MELANOMA ; HEALTHY ; BRAF ; MASSES ; RE ; CANCER SUSCEPTIBILITY ; TESTS ; KRAS ; LINKAGE PHASE ; LMP ; low malignant potential
    Abstract: Objective. The object of this study was to test the hypothesis that BRAF is a low-risk susceptibility gene for low malignant potential (LMP) ovarian cancer. A recent study of the relationship between BRAF polymorphisms and malignant melanoma identified strong linkage disequilibrium across the BRAF gene with one of the three most common haplotypes (haplotype C) having a population attributable risk of approximately 1.6%. We therefore hypothesized that the same BRAF haplotype may confer an increased risk of serous ovarian tumors of low malignant potential. Methods. We genotyped 383 cases of LMP ovarian cancer, including 234 of serous histology, and 987 controls for seven SNPs, representative of the most common BRAF gene haplotypes, using MALDI-TOF mass spectrometry. Results. Haplotype information was obtained for 369 LMP ovarian cancer cases and 983 healthy controls. None of the haplotypes were found to be associated with risk of LMP ovarian cancer (OR for haplotype C 0.81, 95% Cl 0.54-1.22), or with the risk of serous LMP ovarian cancer (OR for haplotype C 0.90, 95% CI = 0.56- 1.45). Conclusion. We found no evidence to suggest that BRAF is a low-risk LMP ovarian cancer susceptibility gene. (c) 2005 Published by Elsevier Inc
    Type of Publication: Journal article published
    PubMed ID: 15904951
    Signatur Availability
    BibTip Others were also interested in ...
  • 2
    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
    Signatur Availability
    BibTip Others were also interested in ...
  • 3
    Keywords: CANCER ; COHORT ; POPULATION ; RISK ; GENE ; GENES ; ASSOCIATION ; POLYMORPHISMS ; BREAST ; breast cancer ; BREAST-CANCER ; BRCA1 ; OVARIAN-CANCER ; EXCISION-REPAIR ; ONCOLOGY ; BRCA2 ; breast cancer risk ; NUCLEOTIDE ; ERCC4
    Abstract: BACKGROUND: In this study we aimed to evaluate the role of a SNP in intron 1 of the ERCC4 gene (rs744154), previously reported to be associated with a reduced risk of breast cancer in the general population, as a breast cancer risk modifier in BRCA1 and BRCA2 mutation carriers. METHODS: We have genotyped rs744154 in 9408 BRCA1 and 5632 BRCA2 mutation carriers from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and assessed its association with breast cancer risk using a retrospective weighted cohort approach. RESULTS: We found no evidence of association with breast cancer risk for BRCA1 (per-allele HR: 0.98, 95% CI: 0.93-1.04, P = 0.5) or BRCA2 (per-allele HR: 0.97, 95% CI: 0.89-1.06, P = 0.5) mutation carriers. CONCLUSION: This SNP is not a significant modifier of breast cancer risk for mutation carriers, though weak associations cannot be ruled out.
    Type of Publication: Journal article published
    PubMed ID: 19920816
    Signatur Availability
    BibTip Others were also interested in ...
  • 4
    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
    Signatur Availability
    BibTip Others were also interested in ...
  • 5
    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
    Signatur Availability
    BibTip Others were also interested in ...
  • 6
    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 ...
  • 7
    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
    Signatur Availability
    BibTip Others were also interested in ...
  • 8
    Keywords: CANCER ; COMMON ; HISTORY ; MORTALITY ; POPULATION ; RISK ; RISKS ; GENE ; GENES ; FAMILY ; GENETIC POLYMORPHISMS ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; SUSCEPTIBILITY ; FREQUENCIES ; BREAST ; breast cancer ; BREAST-CANCER ; early detection ; IDENTIFICATION ; BRCA1 ; ovarian cancer ; OVARIAN-CANCER ; WOMEN ; MUTATION ; SNP ; MUTATIONS ; POPULATIONS ; genetic polymorphism ; case-control studies ; GROWTH-FACTOR-BETA ; ENDOMETRIAL CANCER ; SUSCEPTIBILITY GENE ; DNA-REPAIR GENES ; POSTMENOPAUSAL WOMEN ; case-control study ; review ; FAMILIES ; development ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; USA ; INCREASED RISK ; CANCERS ; EXTENT ; FUNCTIONAL POLYMORPHISM ; Genetic ; PROPORTION ; FEDERATION ; INTERNATIONAL HAPMAP PROJECT ; INVASIVE OVARIAN ; PROGESTERONE-RECEPTOR GENE
    Abstract: The value of identifying women with an inherited predisposition to epithelial ovarian cancer has become readily apparent with the identification of the BRCA1, and BRCA2 genes. Women who inherit a deleterious mutation in either of these genes have a very high lifetime risk of ovarian cancer (10-60%) and to some extent, increased risks of fallopian tube and peritoneal cancer. These highly lethal cancers are almost completely prevented by prophylactic salpingoophorectomy. BRCA1/2 mutation testing has become the accepted standard of care in families with a strong history of breast and/or ovarian cancer. This approach has the potential to reduce ovarian cancer mortality by about 10%. Although the ability to perform genetic testing for BRCA1 and 2 represents a significant clinical advance, the frequency of mutations in these high penetrance ovarian cancer susceptibility genes is low in most populations. There is evidence to suggest that ovarian cancer susceptibility might be affected by common low penetrance genetic polymorphisms like it was shown for several common disorders like diabetes or breast cancer. Although such polymorphisms would increase risk to a lesser degree, they could contribute to the development of a greater proportion of ovarian cancers by virtue of their higher frequencies in the population. It has been shown that the most powerful approach to studying low penetrance genes is an association study rather than a linkage study design. This review describes the efforts that have been made in this field by individual case-control studies and through multi-center collaborations as part of international consortia such as the Ovarian Cancer Association Consortium (OCAC). (C) 2009 Published by Elsevier B.V. on behalf of Federation of European Biochemical Societies
    Type of Publication: Journal article published
    PubMed ID: 19383379
    Signatur Availability
    BibTip Others were also interested in ...
  • 9
    Keywords: RECEPTOR ; CANCER ; MODEL ; BRCA1 ; OVARIAN-CANCER ; MUTATIONS ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; GENOTYPE ; CHEK2-ASTERISK-1100DELC ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; FAMILY REGISTRY
    Abstract: Introduction: Several common breast cancer genetic susceptibility variants have recently been identified. We aimed to determine how these variants combine with a subset of other known risk factors to influence breast cancer risk in white women of European ancestry using case-control studies participating in the Breast Cancer Association Consortium. Methods: We evaluated two-way interactions between each of age at menarche, ever having had a live birth, number of live births, age at first birth and body mass index (BMI) and each of 12 single nucleotide polymorphisms (SNPs) (10q26-rs2981582 (FGFR2), 8q24-rs13281615, 11p15-rs3817198 (LSP1), 5q11-rs889312 (MAP3K1), 16q12-rs3803662 (TOX3), 2q35-rs13387042, 5p12-rs10941679 (MRPS30), 17q23-rs6504950 (COX11), 3p24-rs4973768 (SLC4A7), CASP8-rs17468277, TGFB1-rs1982073 and ESR1-rs3020314). Interactions were tested for by fitting logistic regression models including per-allele and linear trend main effects for SNPs and risk factors, respectively, and single-parameter interaction terms for linear departure from independent multiplicative effects. Results: These analyses were applied to data for up to 26,349 invasive breast cancer cases and up to 32,208 controls from 21 case-control studies. No statistical evidence of interaction was observed beyond that expected by chance. Analyses were repeated using data from 11 population-based studies, and results were very similar. Conclusions: The relative risks for breast cancer associated with the common susceptibility variants identified to date do not appear to vary across women with different reproductive histories or body mass index (BMI). The assumption of multiplicative combined effects for these
    Type of Publication: Journal article published
    PubMed ID: 21194473
    Signatur Availability
    BibTip Others were also interested in ...
  • 10
    Keywords: CANCER ; MODELS ; POPULATION ; RISK ; VARIANTS ; BREAST ; BREAST-CANCER ; OVARIAN-CANCER ; PHENOTYPE ; PREVALENCE ; ESTROGEN-RECEPTOR ; GENETIC SUSCEPTIBILITY ; LOCI ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; Risk prediction
    Abstract: ABSTRACT: INTRODUCTION: Previous studies have demonstrated that common breast cancer susceptibility alleles are differentially associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. It is currently unknown how these alleles are associated with different breast cancer subtypes in BRCA1 and BRCA2 mutation carriers defined by estrogen (ER) or progesterone receptor (PR) status of the tumor. METHODS: We used genotype data on up to 11,421 BRCA1 and 7,080 BRCA2 carriers, of whom 4,310 had been affected with breast cancer and had information on either ER or PR status of the tumor, to assess the associations of twelve loci with breast cancer tumor characteristics. Associations were evaluated using a retrospective cohort approach. RESULTS: The results suggested stronger associations with ER-positive breast cancer than ER-negative for eleven loci in both BRCA1 and BRCA2 carriers. Among BRCA1 carriers, SNP rs2981582 (FGFR2) exhibited the biggest difference based on ER status (per-allele HR for ER-positive=1.35, 95%CI:1.17-1.56 vs HR=0.91, 95%CI:0.85-0.98 for ER-negative, P-heterogeneity=6.5e-6). In contrast, SNP rs2046210 at 6q25.1 near ESR1 was primarily associated with ER-negative breast cancer risk for both BRCA1 and BRCA2 carriers. In BRCA2 carriers, SNPs in FGFR2, TOX3, LSP1, SLC4A7/NEK10, 5p12, 2q35, and1p11.2 were significantly associated with ER-positive but not ER-negative disease. Similar results were observed when differentiating breast cancer cases by PR status. CONCLUSIONS: The associations of the twelve SNPs with risk for BRCA1 and BRCA2 carriers differ by ER-positive or ER-negative breast cancer status. The apparent differences in SNP associations between BRCA1 and BRCA2 carriers, and non-carriers, may be explicable by differences in the prevalence of tumor subtypes. As more risk modifying variants are identified, incorporating these associations into breast cancer subtype-specific risk models may improve clinical management for mutation carriers.
    Type of Publication: Journal article published
    PubMed ID: 22053997
    Signatur Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...