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24 citation(s) found for "Yang, Hannah".

Abstract 1900: Age at last birth and endometrial cancer risk: Pooled analysis in the Epidemiology of Endometrial Cancer Consortium
Karageorgi, Stalo , Deming, Sandra L., Anderson, Kristin E. , Brinton, Louise A. , Chen, Chu , Horn‐Ross, Pamela L., Lissowska, Jolanta , Lurie, Galina, Mack, Thomas M. , Matsuno, Rayna K., McCann, Susan E. , Moysich, Kristen B., Pike, Malcolm C. , Shu, Xiao-Ou , Strom, Brian L., Group, The Australian National Endometrial Cancer Study, Ursin, Giske , Webb, Penny M., Weiss, Noel S. , Wentzensen, Nicolas , Setiawan, Veronica Wendy , Bernstein, Leslie , Cai, Hui , Cerhan, James R. , Cozen, Wendy , Doherty, Jennifer A. , Freudenheim, Jo L. , Goodman, Marc T. , Rebbeck, Timothy R. , Robien, Kim , Shu, Xiao-Ou , Spurdle, Amanda B. , Group, The Australian National Endometrial Cancer Study, Xiang, Yong‐Bing , Webb, Penny M., Yang, Hannah , Vivo, Immaculata De , Lissowska, Jolanta

Mayo Clinic

Cancer Research | July 21, 2012 | Volume: 71 | Issue: 8_Supplement | Pages: 1900-1900

10.1158/1538-7445.am2011-1900 Get It

Abstract Some studies show that childbearing at older age is associated with lower risk of endometrial cancer, but whether the association is independent of number of children or other factors still requires clarification. We pooled individual-level data from epidemiologic studies in the Epidemiology of Endometrial Cancer Consortium (E2C2). Data on age at last birth and/or last pregnancy were available from 14 studies: 11 case-control studies and 3 cohort studies; the latter were analyzed using a nested case-control design. A total of 9,613 endometrial cancer cases and 17,112 controls were included in the analysis. The majority of women were White (82%) and older than 55 years (69%). We estimated the effects of age at last birth using data from 12 studies and age at last pregnancy using data from 10 studies on the risk of endometrial cancer by calculating odds ratios (OR) and 95% confidence intervals (95% CI) using logistic regression models. Potential confounders included in the analysis were race, body mass index, parity, age at menarche, age at first birth, oral contraceptive use, postmenopausal hormone use, smoking status, and report of diabetes. After adjusting for potential confounders, a reduction in endometrial cancer risk was observed in women with increasing age at last birth (P trend <0.0001) and age at last pregnancy (P trend <0.0001). The OR per five-year increase in age at last birth and age at last pregnancy was 0.90 (95%CI: 0.86, 0.94) and 0.91 (95% CI: 0.87, 0.95), respectively. Women who had their last child at an age >40 years were at a 34% decreased risk compared with women who had their last child at an age <25 years (95% CI: 0.52, 0.82). Compared to women with age at last pregnancy <25 years, those with age at last pregnancy >40 years had a 30% decreased risk of endometrial cancer (95%CI: 0.57, 0.86). Inverse associations were observed for Whites and Asians in race-specific analysis and also in analysis restricted to women with at least 2 births. In this large pooled analysis, we show that late age at last birth or last pregnancy is a strong and independent protective factor for endometrial cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1900. doi:10.1158/1538-7445.AM2011-1900
Ovarian Cancer Risk Associated with Inherited Inflammation-Related Variants
White, Kristin L., Schildkraut, Joellen M. , Palmieri, Rachel T., Iversen, Edwin S., Vierkant, Robert A. , Rider, David N., Charbonneau, Bridget, Cicek, Mine S., Sutphen, Rebecca , Birrer, Michael J. , Song, Honglin , Gayther, Simon A. , Ramus, Susan J. , Wentzensen, Nicolas , García‐Closas, Montserrat , Phelan, Catherine M., Cunningham, Julie M. , Sellers, Thomas A. , Goode, Ellen L. , Weber, Rachel Palmieri , Berchuck, Andrew , Pharoah, Paul D.P. , Tyrer, Jonathan P. , Yang, Hannah , Fridley, Brooke L. , Ramus, Susan J , Vierkant, Robert A , García-Closas, Montserrat

Mayo Clinic

Cancer Research | January 26, 2012 | Volume: 72 | Issue: 5 | Pages: 1064-1069

10.1158/0008-5472.can-11-3512 | PMID 22282663 Get It

Abstract The importance of inflammation pathways to the development of many human cancers prompted us to examine the associations between single-nucleotide polymorphisms (SNP) in inflammation-related genes and risk of ovarian cancer. In a multisite case–control study, we genotyped SNPs in a large panel of inflammatory genes in 930 epithelial ovarian cancer cases and 1,037 controls using a custom array and analyzed by logistic regression. SNPs with P < 0.10 were evaluated among 3,143 cases and 2,102 controls from the Follow-up of Ovarian Cancer Genetic Association and Interaction Studies (FOCI) post-GWAS collaboration. Combined analysis revealed association with SNPs rs17561 and rs4848300 in the interleukin gene IL1A which varied by histologic subtype (Pheterogeneity = 0.03). For example, IL1A rs17561, which correlates with numerous inflammatory phenotypes, was associated with decreased risk of clear cell, mucinous, and endometrioid subtype, but not with the most common serous subtype. Genotype at rs1864414 in the arachidonate 5-lipoxygenase ALOX5 was also associated with decreased risk. Thus, inherited variation in IL1A and ALOX5 seems to affect ovarian cancer risk which, for IL1A, is limited to rarer subtypes. Given the importance of inflammation in tumorigenesis and growing evidence of subtype-specific features in ovarian cancer, functional investigations will be important to help clarify the importance of inherited variation related to inflammation in ovarian carcinogenesis. Cancer Res; 72(5); 1064–9. ©2012 AACR.
Polymorphism in the GALNT1 Gene and Epithelial Ovarian Cancer in Non-Hispanic White Women: The Ovarian Cancer Association Consortium
Phelan, Catherine M., Tsai, Ya-Yu, Goode, Ellen L. , Vierkant, Robert A. , Beesley, Jonathan, Chen, Xiao Qing, Webb, Penelope M. , Moysich, Kirsten B., Edwards, Robert P., Chang‐Claude, Jenny , García‐Closas, Montserrat , Wang‐Gohrke, Shan , Hein, Rebecca, Lissowska, Jolanta , Carney, Michael E., Lurie, Galina, Ness, Roberta B., Pearce, Celeste Leigh, Wu, Anna H. , Berg, David J. Van Den, Terry, Kathryn L. , Whiteman, David C. , Whittemore, Alice S. , DiCioccio, Richard A., McGuire, Valerie , Rossing, Mary Anne, Høgdall, Claus , Høgdall, Estrid , Kjær, Susanne K. , Blaakær, Jan , Quaye, Lydia, Ramus, Susan J. , Jacobs, Ian , Song, Honglin , Iversen, Edwin S., Marks, Jeffrey R. , Pike, Malcolm C. , Gayther, Simon A. , Cunningham, Julie M. , Goodman, Marc T. , Schildkraut, Joellen M. , Chenevix‐Trench, Georgia , Sellers, Thomas A. , Group, Australian Ovarian Cancer Study, Fridley, Brooke L. , Chen, Xiao Qing, Chanock, Stephen Jacob , Cramer, Daniel W. , Yang, Hannah , Green, Adèle C. , Wilkens, Lynne R. , Stram, Daniel O. , Doherty, Jennifer A. , Anton‐Culver, Hoda , Ziogas, Argyrios , Pharoah, Paul D.P. , Berchuck, Andrew , Group, Australian Ovarian Cancer Study, Kjaer, Susanne K , Ramus, Susan J , Webb, Penelope M , Vierkant, Robert A , Moysich, Kirsten , Lissowska, Jolanta , García-Closas, Montserrat , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Whiteman, David C , Goodman, Marc T

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | February 8, 2010 | Volume: 19 | Issue: 2 | Pages: 600-604

10.1158/1055-9965.epi-09-0861 | PMID 20142253 Get It

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
ESR1/SYNE1 Polymorphism and Invasive Epithelial Ovarian Cancer Risk: An Ovarian Cancer Association Consortium Study
Rossing, Mary Anne, Cushing‐Haugen, Kara L. , Chen, Chu , Berg, David J. Van Den, Wu, Anna H. , Pike, Malcolm C. , Ness, Roberta B., Moysich, Kirsten B., Chenevix‐Trench, Georgia , Beesley, Jonathan, Webb, Penelope M. , Chang‐Claude, Jenny, Wang‐Gohrke, Shan , Goodman, Marc T. , Lurie, Galina, Thompson, Pamela J., Carney, Michael E., Høgdall, Estrid , Kjær, Susanne K. , Høgdall, Claus , Goode, Ellen L. , Cunningham, Julie M. , Vierkant, Robert A. , Moorman, Patricia G. , Schildkraut, Joellen M. , Palmieri, Rachel T., Terry, Kathryn L. , García‐Closas, Montserrat , Lissowska, Jolanta , Song, Honglin , Shah, Mitul , Perkins, Barbara, McGuire, Valerie , Whittemore, Alice S. , Cioccio, Richard A. Di, Menon, Usha , Gayther, Simon A. , Ramus, Susan J. , Group, The Australian Ovarian Cancer Study Management, Cancer), The Australian Cancer Study (Ovarian, Pearce, Celeste Leigh, Weber, Rachel Palmieri , Doherty, Jennifer A. , Fridley, Brooke L. , Berchuck, Andrew , Cramer, Daniel W. , Yang, Hannah , Chanock, Stephen Jacob , Pharoah, Paul D.P. , Gentry‐Maharaj, Aleksandra , Ziogas, Argyrios , Brewster, Wendy R. , Anton‐Culver, Hoda , Group, The Australian Ovarian Cancer Study Management, Cancer), The Australian Cancer Study (Ovarian, Pearce, Celeste Leigh, Kjaer, Susanne K , Ramus, Susan J , Webb, Penelope M , Vierkant, Robert A , Menon, Usha , Moysich, Kirsten , Lissowska, Jolanta , García-Closas, Montserrat , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Goodman, Marc T

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | January 7, 2010 | Volume: 19 | Issue: 1 | Pages: 245-250

10.1158/1055-9965.epi-09-0729 | PMID 20056644 Get It

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 = 0.006]. rs2295190 is a nonsynonymous coding SNP in a neighboring gene called spectrin repeat containing, nuclear envelope 1 (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 downregulated 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% CI, 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; 19(1); 244–50