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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: 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
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  • 3
    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
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  • 4
    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
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  • 5
    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
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  • 6
    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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  • 7
    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
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  • 8
    Keywords: CANCER ; SURVIVAL ; tumor ; DIAGNOSIS ; INFORMATION ; DEATH ; EPIDEMIOLOGY ; MORTALITY ; POPULATION ; RISK ; GENE ; microarray ; TUMORS ; validation ; DNA ; RISK-FACTORS ; ASSOCIATION ; polymorphism ; POLYMORPHISMS ; single nucleotide polymorphism ; SUSCEPTIBILITY ; BREAST ; breast cancer ; BREAST-CANCER ; ASSAY ; microarrays ; OVARIAN-CANCER ; meta-analysis ; SNP ; risk factors ; mass spectrometry ; SPECTROMETRY ; RISK FACTOR ; PROGNOSTIC-FACTORS ; MASS-SPECTROMETRY ; ONCOLOGY ; case-control study ; REGRESSION ; ASSOCIATIONS ; overall survival ; PROGNOSTIC-FACTOR ; METAANALYSIS ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; GENOTYPE ; cancer survival ; INTERNATIONAL CASE-CONTROL ; GENOME-WIDE ASSOCIATION ; GENETIC-VARIATION ; REPAIR GENES ; TUMOR CHARACTERISTICS ; COMMON POLYMORPHISMS ; single nucleotide ; journals ; COX REGRESSION ; ALL-CAUSE ; BRCA1 MUTATIONS
    Abstract: Traditional prognostic factors for survival and treatment response of patients with breast cancer do not fully account for observed survival variation. We used available genotype data from a previously conducted two-stage, breast cancer susceptibility genome-wide association study (ie, Studies of Epidemiology and Risk factors in Cancer Heredity [SEARCH]) to investigate associations between variation in germline DNA and overall survival. We evaluated possible associations between overall survival after a breast cancer diagnosis and 10 621 germline single-nucleotide polymorphisms (SNPs) from up to 3761 patients with invasive breast cancer (including 647 deaths and 26 978 person-years at risk) that were genotyped previously in the SEARCH study with high-density oligonucleotide microarrays (ie, hypothesis-generating set). Associations with all-cause mortality were assessed for each SNP by use of Cox regression analysis, generating a per rare allele hazard ratio (HR). To validate putative associations, we used patient genotype information that had been obtained with 5' nuclease assay or mass spectrometry and overall survival information for up to 14 096 patients with invasive breast cancer (including 2303 deaths and 70 019 person-years at risk) from 15 international case-control studies (ie, validation set). Fixed-effects meta-analysis was used to generate an overall effect estimate in the validation dataset and in combined SEARCH and validation datasets. All statistical tests were two-sided. In the hypothesis-generating dataset, SNP rs4778137 (C 〉 G) of the OCA2 gene at 15q13.1 was statistically significantly associated with overall survival among patients with estrogen receptor-negative tumors, with the rare G allele being associated with increased overall survival (HR of death per rare allele carried = 0.56, 95% confidence interval [CI] = 0.41 to 0.75, P = 9.2 x 10(-5)). This association was also observed in the validation dataset (HR of death per rare allele carried = 0.88, 95% CI = 0.78 to 0.99, P = .03) and in the combined dataset (HR of death per rare allele carried = 0.82, 95% CI = 0.73 to 0.92, P = 5 x 10(-4)). The rare G allele of the OCA2 polymorphism, rs4778137, may be associated with improved overall survival among patients with estrogen receptor-negative breast cancer
    Type of Publication: Journal article published
    PubMed ID: 20308648
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  • 9
    Keywords: CELLS ; EXPRESSION ; MESSENGER-RNA ; colon ; mechanisms ; BREAST-CANCER ; POSTMENOPAUSAL WOMEN ; TRANSCRIPTIONAL ACTIVATION ; HORMONE-BINDING GLOBULIN ; ESTROGEN-RECEPTOR-BETA
    Abstract: The incidence rates and relative risks for colorectal cancer (CRC) are higher in men than women. Sex steroids may play a role in this gender-associated difference in CRC risk. The present study was conducted to explore the relationship of single nucleotide polymorphisms in steroid hormone signalling (ESR1, ESR2, PGR, NR1I2 and SHBG), phase I- and II-metabolizing enzyme (COMT, HSD17B1, CYP1A1, CYP17A1, CYP1A2, CYP1B1, CYP2C9, CYP3A4, CYP2C19 and GSTP1) and hormone transporter (ABCB1) genes with risk of CRC in German women and men, separately. Forty-seven putatively functional single nucleotide polymorphisms were genotyped in 1798 CRC cases (746 women, 1052 men) and 1810 controls (732 women, 1078 men) from the population-based DACHS study (South Germany). Significant allele dose-response associations were observed with ESR2_rs1255998, ESR2_rs928554, HSD17B1_rs605059 and ABCB1_rs2229109 in women (p trend = 0.004, 0.05, 0.03 and 0.05, respectively) and with ABCB1_rs1045642, ABCB1_rs9282564 and SHBG_rs6259 in men (p trend = 0.01, 0.03 and 0.02, respectively). The ESR2_rs1255998_G allele showed the most significant association with risk for CRC in women, with a per-allele OR of 0.68 (95% CI 0.52-0.88). This finding was replicated in an independent study from North Germany including 1076 female CRC cases and 1151 controls (OR = 0.84, 95% CI 0.71-1.04), yielding a per-allele OR of 0.80 (95% CI 0.69-0.93, p trend = 0.003) in the pooled sample. These findings implicate a role of ESR2 in the risk for developing colorectal cancer in women and suggest that HSD17B1, ABCB1 and SHBG genes may contribute to sex steroid-mediated effects on CRC development.
    Type of Publication: Journal article published
    PubMed ID: 21317201
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  • 10
    Keywords: BREAST-CANCER ; COLON-CANCER ; ENDOMETRIAL CANCER ; POSTMENOPAUSAL WOMEN ; REPLACEMENT THERAPY ; P-GLYCOPROTEIN EXPRESSION ; ESTROGEN-RECEPTOR-ALPHA ; FUNCTIONAL DIFFERENCES ; GLUTATHIONE CONJUGATION ; MULTIDRUG-RESISTANCE GENE
    Abstract: The mechanisms underlying the association of menopausal hormone therapy (MHT) with reduced colorectal cancer (CRC) risk are unknown and the identification of genetic modifiers may yield further insight. We explored the effect modification of MHT-associated CRC risk in postmenopausal women by 47 polymorphisms with known or putative functional relevance in 16 candidate genes related to hormone metabolism (COMT, CYP1A1, CYP1A2, CYP1B1, CYP2C9, CYP2C19, CYP3A4, CYP17A1, GSTP, and HSD17B1), transport (ABCB1), and signaling (ESR1, ESR2, SHBG, PGR, and NR1I2). A total of 685 CRC patients and 684 healthy controls from a German population-based case-control study (DACHS) were genotyped. Multiplicative statistical interaction between polymorphisms and ever MHT use as well as duration of use was assessed using multivariate logistic regression. CRC risk associated with ever MHT use as well as with duration was significantly modified by rs1202168 in the transporter gene ABCB1 (P interaction=0.04). The MHT-associated risk reduction was not significant in homozygous non-carriers (odds ratio (OR) ever use=0.84, 95% confidence interval (CI) 0.53-1.34; OR per 5 year duration=0.94, 95% CI 0.83-1.08), while homozygous carriers of the minor T allele had a 57% lower risk with ever use of MHT (95% CI 0.21-0.88) and a 22% lower risk per 5 years of MHT use (95% CI 0.62-0.97). Significant effect modification was also observed for the ESR1_rs910416 polymorphism (P interaction=0.03 for ever use and 0.07 for duration of use), whereby the decreased risk was attenuated in homozygous carriers of the minor C allele (OR ever use=0.87, 95% CI 0.48-1.60, OR per 5 year duration=0.99, 95% CI 0.83-1.18). Results of this exploratory study provide first evidence that polymorphisms in genes related to estrogen transport and signaling may modify MHT-associated CRC risk but warrant replication in an independent population.
    Type of Publication: Journal article published
    PubMed ID: 21490239
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