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  • American Association for Cancer Research (AACR)  (6)
  • Chenevix-Trench, Georgia  (6)
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  • American Association for Cancer Research (AACR)  (6)
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  • 1
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 24, No. 1 ( 2015-01-01), p. 308-316
    Abstract: Background:BRCA1 and BRCA2 mutation carriers are at substantially increased risk for developing breast and ovarian cancer. The incomplete penetrance coupled with the variable age at diagnosis in carriers of the same mutation suggests the existence of genetic and nongenetic modifying factors. In this study, we evaluated the putative role of variants in many candidate modifier genes. Methods: Genotyping data from 15,252 BRCA1 and 8,211 BRCA2 mutation carriers, for known variants (n = 3,248) located within or around 445 candidate genes, were available through the iCOGS custom-designed array. Breast and ovarian cancer association analysis was performed within a retrospective cohort approach. Results: The observed P values of association ranged between 0.005 and 1.000. None of the variants was significantly associated with breast or ovarian cancer risk in either BRCA1 or BRCA2 mutation carriers, after multiple testing adjustments. Conclusion: There is little evidence that any of the evaluated candidate variants act as modifiers of breast and/or ovarian cancer risk in BRCA1 or BRCA2 mutation carriers. Impact: Genome-wide association studies have been more successful at identifying genetic modifiers of BRCA1/2 penetrance than candidate gene studies. Cancer Epidemiol Biomarkers Prev; 24(1); 308–16. ©2014 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
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  • 2
    In: Cancer Immunology Research, American Association for Cancer Research (AACR), Vol. 2, No. 4 ( 2014-04-01), p. 332-340
    Abstract: The presence of regulatory T cells (Treg) in solid tumors is known to play a role in patient survival in ovarian cancer and other malignancies. We assessed inherited genetic variations via 749 tag single-nucleotide polymorphisms (SNP) in 25 Treg-associated genes (CD28, CTLA4, FOXP3, IDO1, IL10, IL10RA, IL15, 1L17RA, IL23A, IL23R, IL2RA, IL6, IL6R, IL8, LGALS1, LGALS9, MAP3K8, STAT5A, STAT5B, TGFB1, TGFB2, TGFB3, TGFBR1, TGRBR2, and TGFBR3) in relation to ovarian cancer survival. We analyzed genotype and overall survival in 10,084 women with invasive epithelial ovarian cancer, including 5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous carcinoma cases of European descent across 28 studies from the Ovarian Cancer Association Consortium (OCAC). The strongest associations were found for endometrioid carcinoma and IL2RA SNPs rs11256497 [HR, 1.42; 95% confidence interval (CI), 1.22–1.64; P = 5.7 × 10−6], rs791587 (HR, 1.36; 95% CI, 1.17–1.57; P = 6.2 × 10−5), rs2476491 (HR, = 1.40; 95% CI, 1.19–1.64; P = 5.6 × 10−5), and rs10795763 (HR, 1.35; 95% CI, 1.17–1.57; P = 7.9 × 10−5), and for clear cell carcinoma and CTLA4 SNP rs231775 (HR, 0.67; 95% CI, 0.54–0.82; P = 9.3 × 10−5) after adjustment for age, study site, population stratification, stage, grade, and oral contraceptive use. The rs231775 allele associated with improved survival in our study also results in an amino acid change in CTLA4 and previously has been reported to be associated with autoimmune conditions. Thus, we found evidence that SNPs in genes related to Tregs seem to play a role in ovarian cancer survival, particularly in patients with clear cell and endometrioid epithelial ovarian cancer. Cancer Immunol Res; 2(4); 332–40. ©2014 AACR.
    Type of Medium: Online Resource
    ISSN: 2326-6066 , 2326-6074
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2014
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  • 3
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 24, No. 10 ( 2015-10-01), p. 1574-1584
    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 coexpression 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 coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset 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 & lt; 0.05 and FDR & lt; 0.05). These results were replicated (P & lt; 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 datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization. Cancer Epidemiol Biomarkers Prev; 24(10); 1574–84. ©2015 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
    detail.hit.zdb_id: 2036781-8
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 74, No. 3 ( 2014-02-01), p. 852-861
    Abstract: A missense single-nucleotide polymorphism (SNP) in the immune modulatory gene IL1A has been associated with ovarian cancer risk (rs17561). Although the exact mechanism through which this SNP alters risk of ovarian cancer is not clearly understood, rs17561 has also been associated with risk of endometriosis, an epidemiologic risk factor for ovarian cancer. Interleukin-1α (IL1A) is both regulated by and able to activate NF-κB, a transcription factor family that induces transcription of many proinflammatory genes and may be an important mediator in carcinogenesis. We therefore tagged SNPs in more than 200 genes in the NF-κB pathway for a total of 2,282 SNPs (including rs17561) for genotype analysis of 15,604 cases of ovarian cancer in patients of European descent, including 6,179 of high-grade serous (HGS), 2,100 endometrioid, 1,591 mucinous, 1,034 clear cell, and 1,016 low-grade serous, including 23,235 control cases spanning 40 studies in the Ovarian Cancer Association Consortium. In this large population, we confirmed the association between rs17561 and clear cell ovarian cancer [OR, 0.84; 95% confidence interval (CI), 0.76–0.93; P = 0.00075], which remained intact even after excluding participants in the prior study (OR, 0.85; 95% CI, 0.75–0.95; P = 0.006). Considering a multiple-testing–corrected significance threshold of P & lt; 2.5 × 10−5, only one other variant, the TNFSF10 SNP rs6785617, was associated significantly with a risk of ovarian cancer (low malignant potential tumors OR, 0.85; 95% CI, 0.79–0.91; P = 0.00002). Our results extend the evidence that borderline tumors may have a distinct genetic etiology. Further investigation of how these SNPs might modify ovarian cancer associations with other inflammation-related risk factors is warranted. Cancer Res; 74(3); 852–61. ©2013 AACR.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2014
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    detail.hit.zdb_id: 410466-3
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  • 5
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 22, No. 5 ( 2013-05-01), p. 987-992
    Abstract: Background: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed. Cancer Epidemiol Biomarkers Prev; 22(5); 987–. ©2013 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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  • 6
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 14_Supplement ( 2016-07-15), p. 797-797
    Abstract: Menopausal estrogen-alone therapy (ET) is a well-established risk factor for serous and endometrioid ovarian carcinoma. Genetics also plays an important role in ovarian carcinoma etiology, which is partly attributable to 18 confirmed susceptibility loci identified by genome-wide association studies (GWASs). Each of these common variants is associated with a modest relative risk estimate, but it is possible that interactions between non-genetic and genetic risk factors exist, thereby putting some women at higher risk. This interplay among the 18 loci, ET use, and ovarian carcinoma risk has yet to be evaluated. In our analysis, we used individual questionnaire data from 1,414 serous cases, 337 endometrioid cases, and 4,051 controls across 10 case-control studies participating in the Ovarian Cancer Association Consortium (OCAC). The genotype data was based on information from three GWASs, their replication efforts, and two large-scale arrays. Conditional logistic regression was used to determine the association between the 18 confirmed variants and risk of serous and endometrioid ovarian carcinoma among ET users and non-users separately. A likelihood ratio test was used to test for statistical interaction (i.e., departure from a multiplicative model). After controlling for well-established ovarian carcinoma risk factors as well as genetic ancestry, a splicing variant in TERT, rs10069690, showed a significant interaction with ET use for risk of serous ovarian carcinoma (pint = 0.014). ET users carrying the T allele had a 50% increased risk of disease (OR = 1.50, 95% CI 1.16-1.93); the impact of this allele was even stronger for long-term ET users of 10+ years (OR = 2.13, 95% CI 1.39-2.37, pint = 0.036). Non-ET users showed essentially no association with the disease (OR = 1.09, 95% CI 0.97-1.22). In addition, two SNPS, rs7207826 (C allele) and rs56318008 (T allele), in other genomic regions had significant interactions with ET use for the endometrioid histotype (pint = 0.030 and pint = 0.042, respectively). Overall, we have shown evidence of statistical interactions between postmenopausal ET use and three confirmed ovarian cancer susceptibility alleles with risk of serous and endometrioid ovarian cancer. We observed four statistically significant interactions, which is twice as many as would be expected by chance at the p≤0.05 level, although none survived correction for multiple comparisons. This is the first study, to our knowledge, to suggest potential gene-environment interactions in ovarian carcinoma in the context of hormone therapy use with confirmed susceptibility alleles. It is also intriguing that the identified interactions include confirmed variants that are located in or adjacent to genes in which estrogen is biologically involved. These findings, if replicated, may be critical for future risk prediction modeling. Citation Format: Alice W. Lee, Ashley Bomkamp, Elisa V. Bandera, Allan Jensen, Susan J. Ramus, Marc T. Goodman, Mary Anne Rossing, Francesmary Modugno, Kirsten B. Moysich, Jenny Chang-Claude, Anja Rudolph, Aleksandra Gentry-Maharaj, Kathryn L. Terry, Simon A. Gayther, Daniel W. Cramer, Jennfier A. Doherty, Joellen M. Schildkraut, Susanne K. Kjaer, Roberta B. Ness, Usha Menon, Andrew Berchuck, Bhramar Mukherjee, Lynda Roman, Paul D. Pharoah, Georgia Chenevix-Trench, Anna H. Wu, Malcolm C. Pike, Celeste L. Pearce. A splicing variant of TERT identified by GWAS interacts with menopausal estrogen therapy in risk of ovarian cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 797.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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    detail.hit.zdb_id: 410466-3
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