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1. Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2

Author: O’Mahony, Denise G, Ramus, Susan J, Southey, Melissa C, Meagher, Nicola S, Hadjisavvas, Andreas, John, Esther M, Hamann, Ute, Imyanitov, Evgeny N, Andrulis, Irene L, Sharma, Priyanka, Daly, Mary B, Hake, Christopher R, Weitzel, Jeffrey N, Jakubowska, Anna, Godwin, Andrew K, Arason, Adalgeir, Bane, Anita, Simard, Jacques, Soucy, Penny, Caligo, Maria A, Mai, Phuong L, Claes, Kathleen BM, Teixeira, Manuel R, Chung, Wendy K, Lazaro, Conxi, Hulick, Peter J, Toland, Amanda E, Pedersen, Inge Sokilde, Neuhausen, Susan L, Vega, Ana, de la Hoya, Miguel, Nevanlinna, Heli, Dhawan, Mallika, Zampiga, Valentina, Danesi, Rita, Varesco, Liliana, Gismondi, Viviana, Vellone, Valerio Gaetano, James, Paul A, Janavicius, Ramunas, Nikitina-Zake, Liene, Nielsen, Finn Cilius, van Overeem Hansen, Thomas, Pejovic, Tanja, Borg, Ake, Rantala, Johanna, Offit, Kenneth, Montagna, Marco, Nathanson, Katherine L, Domchek, Susan M, Osorio, Ana, García, María J, Karlan, Beth Y, De Fazio, Anna, Bowtell, David, McGuffog, Lesley, Leslie, Goska, Parsons, Michael T, Dörk, Thilo, Speith, Lisa-Marie, dos Santos, Elizabeth Santana, da Costa, Alexandre André BA, Radice, Paolo, Peterlongo, Paolo, Papi, Laura, Engel, Christoph, Hahnen, Eric, Schmutzler, Rita K, Wappenschmidt, Barbara, Easton, Douglas F, Tischkowitz, Marc, Singer, Christian F, Tan, Yen Yen, Whittemore, Alice S, Sieh, Weiva, Brenton, James D, Yannoukakos, Drakoulis, Fostira, Florentia, Konstantopoulou, Irene, Soukupova, Jana, Vocka, Michal, Chenevix-Trench, Georgia, Pharoah, Paul DP, Antoniou, Antonis C, Goldgar, David E, Spurdle, Amanda B, and Michailidou, Kyriaki
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Cancer, Breast Cancer, Genetics, Ovarian Cancer, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Humans, Female, Virulence, BRCA1 Protein, BRCA2 Protein, Ovarian Neoplasms, Genetic Predisposition to Disease, Breast Neoplasms, HEBON Investigators, GEMO Study Collaborators, AOCS Group, CZECANCA Consortium, Consortium of Investigators of Modifiers of BRCA1/2, Evidence-based Network for the Interpretation of Germline Mutant Alleles Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: BackgroundThe distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system.MethodsData for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other characteristics, with BRCA1 and BRCA2 variant pathogenicity. Estimates were aligned to ACMG/AMP code strengths (supporting, moderate, strong).ResultsNo histological subtype provided informative ACMG/AMP evidence in favour of BRCA1 and BRCA2 variant pathogenicity. Evidence against variant pathogenicity was estimated for the mucinous and clear cell histologies (supporting) and borderline cases (moderate). Refined associations are provided according to tumour grade, invasion and age at diagnosis.ConclusionsWe provide detailed estimates for predicting BRCA1 and BRCA2 variant pathogenicity based on ovarian tumour characteristics. This evidence can be combined with other variant information under the ACMG/AMP classification system, to improve classification and carrier clinical management.
Published: 2023

2. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis

Author: Fu, Zhuxuan, Brooks, Maria Mori, Irvin, Sarah, Jordan, Susan, Aben, Katja KH, Anton-Culver, Hoda, Bandera, Elisa V, Beckmann, Matthias W, Berchuck, Andrew, Brooks-Wilson, Angela, Chang-Claude, Jenny, Cook, Linda S, Cramer, Daniel W, Cushing-Haugen, Kara L, Doherty, Jennifer A, Ekici, Arif B, Fasching, Peter A, Fortner, Renée T, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Giles, Graham G, Goode, Ellen L, Goodman, Marc T, Group, AOCS, Harris, Holly R, Hein, Alexander, Kaaks, Rudolf, Kiemeney, Lambertus A, Köbel, Martin, Kotsopoulos, Joanne, Le, Nhu D, Lee, Alice W, Matsuo, Keitaro, McGuire, Valerie, McLaughlin, John R, Menon, Usha, Milne, Roger L, Moysich, Kirsten B, Pearce, Celeste Leigh, Pike, Malcolm C, Qin, Bo, Ramus, Susan J, Riggan, Marjorie J, Rothstein, Joseph H, Schildkraut, Joellen M, Sieh, Weiva, Sutphen, Rebecca, Terry, Kathryn L, Thompson, Pamela J, Titus, Linda, van Altena, Anne M, White, Emily, Whittemore, Alice S, Wu, Anna H, Zheng, Wei, Ziogas, Argyrios, Taylor, Sarah E, Tang, Lu, Songer, Thomas, Wentzensen, Nicolas, Webb, Penelope M, Risch, Harvey A, and Modugno, Francesmary
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Clinical Research, Cancer, Ovarian Cancer, Prevention, Pregnancy, Humans, Female, Carcinoma, Ovarian Epithelial, Ovarian Neoplasms, Risk Factors, Parity, Contraceptives, Oral, Case-Control Studies, AOCS Group, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: BackgroundThe role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC.MethodsLOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source.ResultsLOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes.ConclusionsLOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC.
Published: 2023

3. p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study

Author: Köbel, Martin, Kang, Eun‐Young, Weir, Ashley, Rambau, Peter F, Lee, Cheng‐Han, Nelson, Gregg S, Ghatage, Prafull, Meagher, Nicola S, Riggan, Marjorie J, Alsop, Jennifer, Anglesio, Michael S, Beckmann, Matthias W, Bisinotto, Christiani, Boisen, Michelle, Boros, Jessica, Brand, Alison H, Brooks‐Wilson, Angela, Carney, Michael E, Coulson, Penny, Courtney‐Brooks, Madeleine, Cushing‐Haugen, Kara L, Cybulski, Cezary, Deen, Suha, El‐Bahrawy, Mona A, Elishaev, Esther, Erber, Ramona, Fereday, Sian, Group, AOCS, Fischer, Anna, Gayther, Simon A, Barquin‐Garcia, Arantzazu, Gentry‐Maharaj, Aleksandra, Gilks, C Blake, Gronwald, Helena, Grube, Marcel, Harnett, Paul R, Harris, Holly R, Hartkopf, Andreas D, Hartmann, Arndt, Hein, Alexander, Hendley, Joy, Hernandez, Brenda Y, Huang, Yajue, Jakubowska, Anna, Jimenez‐Linan, Mercedes, Jones, Michael E, Kennedy, Catherine J, Kluz, Tomasz, Koziak, Jennifer M, Lesnock, Jaime, Lester, Jenny, Lubiński, Jan, Longacre, Teri A, Lycke, Maria, Mateoiu, Constantina, McCauley, Bryan M, McGuire, Valerie, Ney, Britta, Olawaiye, Alexander, Orsulic, Sandra, Osorio, Ana, Paz‐Ares, Luis, Ramón y Cajal, Teresa, Rothstein, Joseph H, Ruebner, Matthias, Schoemaker, Minouk J, Shah, Mitul, Sharma, Raghwa, Sherman, Mark E, Shvetsov, Yurii B, Singh, Naveena, Steed, Helen, Storr, Sarah J, Talhouk, Aline, Traficante, Nadia, Wang, Chen, Whittemore, Alice S, Widschwendter, Martin, Wilkens, Lynne R, Winham, Stacey J, Benitez, Javier, Berchuck, Andrew, Bowtell, David D, dos Reis, Francisco J Candido, Campbell, Ian, Cook, Linda S, DeFazio, Anna, Doherty, Jennifer A, Fasching, Peter A, Fortner, Renée T, García, María J, Goodman, Marc T, Goode, Ellen L, Gronwald, Jacek, Huntsman, David G, Karlan, Beth Y, Kelemen, Linda E, Kommoss, Stefan, Le, Nhu D, and Martin, Stewart G
Subjects: Reproductive Medicine, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Rare Diseases, Ovarian Cancer, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Humans, Female, Tumor Suppressor Protein p53, Ovarian Neoplasms, Carcinoma, Ovarian Epithelial, Carcinoma, Endometrioid, ovarian cancer, high-grade serous carcinoma, endometrioid, clear cell, TP53, p53, prognosis, AOCS Group, Clinical sciences
Abstract: Our objective was to test whether p53 expression status is associated with survival for women diagnosed with the most common ovarian carcinoma histotypes (high-grade serous carcinoma [HGSC], endometrioid carcinoma [EC], and clear cell carcinoma [CCC]) using a large multi-institutional cohort from the Ovarian Tumor Tissue Analysis (OTTA) consortium. p53 expression was assessed on 6,678 cases represented on tissue microarrays from 25 participating OTTA study sites using a previously validated immunohistochemical (IHC) assay as a surrogate for the presence and functional effect of TP53 mutations. Three abnormal expression patterns (overexpression, complete absence, and cytoplasmic) and the normal (wild type) pattern were recorded. Survival analyses were performed by histotype. The frequency of abnormal p53 expression was 93.4% (4,630/4,957) in HGSC compared to 11.9% (116/973) in EC and 11.5% (86/748) in CCC. In HGSC, there were no differences in overall survival across the abnormal p53 expression patterns. However, in EC and CCC, abnormal p53 expression was associated with an increased risk of death for women diagnosed with EC in multivariate analysis compared to normal p53 as the reference (hazard ratio [HR] = 2.18, 95% confidence interval [CI] 1.36-3.47, p = 0.0011) and with CCC (HR = 1.57, 95% CI 1.11-2.22, p = 0.012). Abnormal p53 was also associated with shorter overall survival in The International Federation of Gynecology and Obstetrics stage I/II EC and CCC. Our study provides further evidence that functional groups of TP53 mutations assessed by abnormal surrogate p53 IHC patterns are not associated with survival in HGSC. In contrast, we validate that abnormal p53 IHC is a strong independent prognostic marker for EC and demonstrate for the first time an independent prognostic association of abnormal p53 IHC with overall survival in patients with CCC.
Published: 2023

4. Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women

Author: Habel, Laurel A., Alexeeff, Stacey E., Achacoso, Ninah, Arasu, Vignesh A., Gastounioti, Aimilia, Gerstley, Lawrence, Klein, Robert J., Liang, Rhea Y., Lipson, Jafi A., Mankowski, Walter, Margolies, Laurie R., Rothstein, Joseph H., Rubin, Daniel L., Shen, Li, Sistig, Adriana, Song, Xiaoyu, Villaseñor, Marvella A., Westley, Mark, Whittemore, Alice S., Yaffe, Martin J., Wang, Pei, Kontos, Despina, and Sieh, Weiva
Published: 2023
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5. MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer

Author: Song, Xiaoyu, Ji, Jiayi, Rothstein, Joseph H., Alexeeff, Stacey E., Sakoda, Lori C., Sistig, Adriana, Achacoso, Ninah, Jorgenson, Eric, Whittemore, Alice S., Klein, Robert J., Habel, Laurel A., Wang, Pei, and Sieh, Weiva
Published: 2023
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6. Outdoor ambient air pollution and breast cancer survival among California participants of the Multiethnic Cohort Study

Author: Cheng, Iona, Yang, Juan, Tseng, Chiuchen, Wu, Jun, Conroy, Shannon M, Shariff-Marco, Salma, Gomez, Scarlett Lin, Whittemore, Alice S, Stram, Daniel O, Le Marchand, Loïc, Wilkens, Lynne R, Ritz, Beate, and Wu, Anna H
Subjects: Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Breast Cancer, Prevention, Women's Health, Clinical Research, Aging, Cancer, Climate-Related Exposures and Conditions, Social Determinants of Health, Health Disparities, 2.2 Factors relating to the physical environment, Good Health and Well Being, Life on Land, Air Pollutants, Air Pollution, Breast Neoplasms, California, Cohort Studies, Environmental Exposure, Female, Humans, Particulate Matter, Environmental Sciences
Abstract: BackgroundWithin the Multiethnic Cohort (MEC), we examined the association between air pollution and mortality among African American, European American, Japanese American, and Latina American women diagnosed with breast cancer.MethodsWe used a land use regression (LUR) model and kriging interpolation to estimate nitrogen oxides (NOx , NO2) and particulate matter (PM2.5, PM10) exposures for 3,089 breast cancer cases in the MEC, who were diagnosed from 1993 through 2013 and resided largely in Los Angeles County, California. Cox proportional hazards models were used to examine the association of time-varying air pollutants with all-cause, breast cancer, cardiovascular disease (CVD), and non-breast cancer/non-CVD mortality, accounting for key covariates.ResultsWe identified 1,125 deaths from all causes (474 breast cancer, 272 CVD, 379 non-breast cancer/non-CVD deaths) among the 3,089 breast cancer cases with 8.1 years of average follow-up. LUR and kriged NOX (per 50 ppb) and NO2 (per 20 ppb), PM2.5 (per 10 µg/m3), and PM10 (per 10 µg/m3) were positively associated with risks of all-cause (Hazard Ratio (HR) range = 1.13-1.25), breast cancer (HR range = 1.19-1.45), and CVD mortality (HR range = 1.37-1.60). Associations were statistically significant for LUR NOX and CVD mortality (HR = 1.60; 95% CI: 1.08-2.37) and kriged NO2 and breast cancer mortality (HR = 1.45; 95% CI 1.02-2.07). Gaseous and PM pollutants were positively associated with breast cancer mortality across racial/ethnic group.ConclusionIn this study, air pollutants have a harmful impact on breast cancer survival. Additional studies should evaluate potential confounding by socioeconomic factors. These data support maintaining clean air laws to improve survival for women with breast cancer.
Published: 2022

7. Expanding Our Understanding of Ovarian Cancer Risk: The Role of Incomplete Pregnancies

Author: Lee, Alice W, Rosenzweig, Stacey, Wiensch, Ashley, Group, the Australian Ovarian Cancer Study, Ramus, Susan J, Menon, Usha, Gentry-Maharaj, Aleksandra, Ziogas, Argyrios, Anton-Culver, Hoda, Whittemore, Alice S, Sieh, Weiva, Rothstein, Joseph H, McGuire, Valerie, Wentzensen, Nicolas, Bandera, Elisa V, Qin, Bo, Terry, Kathryn L, Cramer, Daniel W, Titus, Linda, Schildkraut, Joellen M, Berchuck, Andrew, Goode, Ellen L, Kjaer, Susanne K, Jensen, Allan, Jordan, Susan J, Ness, Roberta B, Modugno, Francesmary, Moysich, Kirsten, Thompson, Pamela J, Goodman, Marc T, Carney, Michael E, Chang-Claude, Jenny, Rossing, Mary Anne, Harris, Holly R, Doherty, Jennifer Anne, Risch, Harvey A, Khoja, Lilah, Alimujiang, Aliya, Phung, Minh Tung, Brieger, Katharine, Mukherjee, Bhramar, Pharoah, Paul DP, Wu, Anna H, Pike, Malcolm C, Webb, Penelope M, and Pearce, Celeste Leigh
Subjects: Rare Diseases, Prevention, Cancer, Ovarian Cancer, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Abortion, Induced, Abortion, Spontaneous, Carcinoma, Ovarian Epithelial, Case-Control Studies, Female, Humans, Ovarian Neoplasms, Parity, Pregnancy, Risk, United Kingdom, United States, Australian Ovarian Cancer Study Group, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: BackgroundParity is associated with decreased risk of invasive ovarian cancer; however, the relationship between incomplete pregnancies and invasive ovarian cancer risk is unclear. This relationship was examined using 15 case-control studies from the Ovarian Cancer Association Consortium (OCAC). Histotype-specific associations, which have not been examined previously with large sample sizes, were also evaluated.MethodsA pooled analysis of 10 470 invasive epithelial ovarian cancer cases and 16 942 controls was conducted. Odds ratios (ORs) and 95% confidence intervals (CIs) for the association between incomplete pregnancies and invasive epithelial ovarian cancer were estimated using logistic regression. All models were conditioned on OCAC study, race and ethnicity, age, and education level and adjusted for number of complete pregnancies, oral contraceptive use, and history of breastfeeding. The same approach was used for histotype-specific analyses.ResultsEver having an incomplete pregnancy was associated with a 16% reduction in ovarian cancer risk (OR = 0.84, 95% CI = 0.79 to 0.89). There was a trend of decreasing risk with increasing number of incomplete pregnancies (2-sided Ptrend < .001). An inverse association was observed for all major histotypes; it was strongest for clear cell ovarian cancer.ConclusionsIncomplete pregnancies are associated with a reduced risk of invasive epithelial ovarian cancer. Pregnancy, including incomplete pregnancy, was associated with a greater reduction in risk of clear cell ovarian cancer, but the result was broadly consistent across histotypes. Future work should focus on understanding the mechanisms underlying this reduced risk.
Published: 2021

8. Clinical and pathological associations of PTEN expression in ovarian cancer: a multicentre study from the Ovarian Tumour Tissue Analysis Consortium.

Author: Martins, Filipe Correia, Couturier, Dominique-Laurent, Paterson, Anna, Karnezis, Anthony N, Chow, Christine, Nazeran, Tayyebeh M, Odunsi, Adekunle, Gentry-Maharaj, Aleksandra, Vrvilo, Aleksandra, Hein, Alexander, Talhouk, Aline, Osorio, Ana, Hartkopf, Andreas D, Brooks-Wilson, Angela, DeFazio, Anna, Fischer, Anna, Hartmann, Arndt, Hernandez, Brenda Y, McCauley, Bryan M, Karpinskyj, Chloe, de Sousa, Christiani B, Høgdall, Claus, Tiezzi, Daniel G, Herpel, Esther, Taran, Florin Andrei, Modugno, Francesmary, Keeney, Gary, Nelson, Gregg, Steed, Helen, Song, Honglin, Luk, Hugh, Benitez, Javier, Alsop, Jennifer, Koziak, Jennifer M, Lester, Jenny, Rothstein, Joseph H, de Andrade, Jurandyr M, Lundvall, Lene, Paz-Ares, Luis, Robles-Díaz, Luis, Wilkens, Lynne R, Garcia, Maria J, Intermaggio, Maria P, Alcaraz, Marie-Lyne, Brett, Mary A, Beckmann, Matthias W, Jimenez-Linan, Mercedes, Anglesio, Michael, Carney, Michael E, Schneider, Michael, Traficante, Nadia, Pejovic, Nadja, Singh, Naveena, Le, Nhu, Sinn, Peter, Ghatage, Prafull, Erber, Ramona, Edwards, Robert, Vierkant, Robert, Ness, Roberta B, Leung, Samuel, Orsulic, Sandra, Brucker, Sara Y, Kaufmann, Scott H, Fereday, Sian, Gayther, Simon, Winham, Stacey J, Kommoss, Stefan, Pejovic, Tanja, Longacre, Teri A, McGuire, Valerie, Rhenius, Valerie, Sieh, Weiva, Shvetsov, Yurii B, Whittemore, Alice S, Staebler, Annette, Karlan, Beth Y, Rodriguez-Antona, Cristina, Bowtell, David D, Goode, Ellen L, Høgdall, Estrid, Candido Dos Reis, Francisco J, Gronwald, Jacek, Chang-Claude, Jenny, Moysich, Kirsten B, Kelemen, Linda E, Cook, Linda S, Goodman, Marc T, Fasching, Peter A, Crawford, Robin, Deen, Suha, Menon, Usha, Huntsman, David G, Köbel, Martin, Ramus, Susan J, Pharoah, Paul DP, and Brenton, James D
Subjects: Oncology & Carcinogenesis, Oncology and Carcinogenesis, Public Health and Health Services
Abstract: BackgroundPTEN loss is a putative driver in histotypes of ovarian cancer (high-grade serous (HGSOC), endometrioid (ENOC), clear cell (CCOC), mucinous (MOC), low-grade serous (LGSOC)). We aimed to characterise PTEN expression as a biomarker in epithelial ovarian cancer in a large population-based study.MethodsTumours from 5400 patients from a multicentre observational, prospective cohort study of the Ovarian Tumour Tissue Analysis Consortium were used to evaluate associations between immunohistochemical PTEN patterns and overall survival time, age, stage, grade, residual tumour, CD8+ tumour-infiltrating lymphocytes (TIL) counts, expression of oestrogen receptor (ER), progesterone receptor (PR) and androgen receptor (AR) by means of Cox proportional hazard models and generalised Cochran-Mantel-Haenszel tests.ResultsDownregulation of cytoplasmic PTEN expression was most frequent in ENOC (most frequently in younger patients; p value = 0.0001) and CCOC and was associated with longer overall survival in HGSOC (hazard ratio: 0.78, 95% CI: 0.65-0.94, p value = 0.022). PTEN expression was associated with ER, PR and AR expression (p values: 0.0008, 0.062 and 0.0002, respectively) in HGSOC and with lower CD8 counts in CCOC (p value
Published: 2020

9. Identification of novel epithelial ovarian cancer loci in women of African ancestry

Author: Manichaikul, Ani, Peres, Lauren C, Wang, Xin‐Qun, Barnard, Mollie E, Chyn, Deanna, Sheng, Xin, Du, Zhaohui, Tyrer, Jonathan, Dennis, Joseph, Schwartz, Ann G, Cote, Michele L, Peters, Edward, Moorman, Patricia G, Bondy, Melissa, Barnholtz‐Sloan, Jill S, Terry, Paul, Alberg, Anthony J, Bandera, Elisa V, Funkhouser, Ellen, Wu, Anna H, Pearce, Celeste Leigh, Pike, Malcom, Setiawan, Veronica Wendy, Haiman, Christopher A, Consortium, the African American Breast Cancer, Consortium, the African Ancestry Prostate Cancer, Palmer, Julie R, LeMarchand, Loic, Wilkens, Lynne R, Berchuck, Andrew, Doherty, Jennifer A, Modugno, Francesmary, Ness, Roberta, Moysich, Kirsten, Karlan, Beth Y, Whittemore, Alice S, McGuire, Valerie, Sieh, Weiva, Lawrenson, Kate, Gayther, Simon, Sellers, Thomas A, Pharoah, Paul, Schildkraut, Joellen M, and Consortium, the African American Cancer Epidemiology Study and the Ovarian Cancer Association
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Biotechnology, Cancer, Prevention, Ovarian Cancer, Rare Diseases, Genetics, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Black or African American, Aldo-Keto Reductase Family 1 Member C3, Antigens, Neoplasm, Black People, Breast Neoplasms, Carcinoma, Ovarian Epithelial, Female, Follistatin, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Neoplasm Proteins, Polymorphism, Single Nucleotide, United States, White People, ovarian cancer, African ancestry, genome wide association study, gene expression, eQTLs, African American Breast Cancer Consortium, African Ancestry Prostate Cancer Consortium, African American Cancer Epidemiology Study (AACES) and the Ovarian Cancer Association Consortium, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: Women of African ancestry have lower incidence of epithelial ovarian cancer (EOC) yet worse survival compared to women of European ancestry. We conducted a genome-wide association study in African ancestry women with 755 EOC cases, including 537 high-grade serous ovarian carcinomas (HGSOC) and 1,235 controls. We identified four novel loci with suggestive evidence of association with EOC (p
Published: 2020

10. Association between ambient air pollution and breast cancer risk: The multiethnic cohort study

Author: Cheng, Iona, Tseng, Chiuchen, Wu, Jun, Yang, Juan, Conroy, Shannon M, Shariff‐Marco, Salma, Li, Lianfa, Hertz, Andrew, Gomez, Scarlett Lin, Le Marchand, Loïc, Whittemore, Alice S, Stram, Daniel O, Ritz, Beate, and Wu, Anna H
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Clinical Research, Cancer, Climate-Related Exposures and Conditions, Breast Cancer, Prevention, 2.2 Factors relating to the physical environment, Aetiology, Life on Land, Black or African American, Aged, Air Pollutants, Air Pollution, Asian, Breast Neoplasms, California, Cohort Studies, Female, Follow-Up Studies, Humans, Incidence, Middle Aged, Particulate Matter, Prospective Studies, Risk Factors, Time Factors, air pollution, breast cancer, multiethnic cohort, epidemiology, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: Previous studies using different exposure methods to assess air pollution and breast cancer risk among primarily whites have been inconclusive. Air pollutant exposures of particulate matter and oxides of nitrogen were estimated by kriging (NOx , NO2 , PM10 , PM2.5 ), land use regression (LUR, NOx , NO2 ) and California Line Source Dispersion model (CALINE4, NOx , PM2.5 ) for 57,589 females from the Multiethnic Cohort, residing largely in Los Angeles County from recruitment (1993-1996) through 2010. Cox proportional hazards models were used to examine the associations between time-varying air pollution and breast cancer incidence adjusting for confounding factors. Stratified analyses were conducted by race/ethnicity and distance to major roads. Among all women, breast cancer risk was positively but not significantly associated with NOx (per 50 parts per billion [ppb]) and NO2 (per 20 ppb) determined by kriging and LUR and with PM2.5 and PM10 (per 10 μg/m3 ) determined by kriging. However, among women who lived within 500 m of major roads, significantly increased risks were observed with NOx (hazard ratio [HR] = 1.35, 95% confidence interval [95% CI]: 1.02-1.79), NO2 (HR = 1.44, 95% CI: 1.04-1.99), PM10 (HR = 1.29, 95% CI: 1.07-1.55) and PM2.5 (HR = 1.85, 95% CI: 1.15-2.99) determined by kriging and NOx (HR = 1.21, 95% CI:1.01-1.45) and NO2 (HR = 1.26, 95% CI: 1.00-1.59) determined by LUR. No overall associations were observed with exposures assessed by CALINE4. Subgroup analyses suggested stronger associations of NOx and NO2 among African Americans and Japanese Americans. Further studies of multiethnic populations to confirm the effects of air pollution, particularly near-roadway exposures, on the risk of breast cancer is warranted.
Published: 2020

11. Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk

Author: Sieh, Weiva, Rothstein, Joseph H, Klein, Robert J, Alexeeff, Stacey E, Sakoda, Lori C, Jorgenson, Eric, McBride, Russell B, Graff, Rebecca E, McGuire, Valerie, Achacoso, Ninah, Acton, Luana, Liang, Rhea Y, Lipson, Jafi A, Rubin, Daniel L, Yaffe, Martin J, Easton, Douglas F, Schaefer, Catherine, Risch, Neil, Whittemore, Alice S, and Habel, Laurel A
Subjects: Human Genome, Prevention, Aging, Genetics, Breast Cancer, Cancer, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, Aged, 80 and over, Breast Density, Breast Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mammography, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide
Abstract: Mammographic density (MD) phenotypes are strongly associated with breast cancer risk and highly heritable. In this GWAS meta-analysis of 24,192 women, we identify 31 MD loci at P
Published: 2020

12. Racial and ethnic differences in epithelial ovarian cancer risk: an analysis from the Ovarian Cancer Association Consortium

Author: Meagher, Nicola S, primary, White, Kami K, additional, Wilkens, Lynne R, additional, Bandera, Elisa V, additional, Berchuck, Andrew, additional, Carney, Michael E, additional, Cramer, Daniel W, additional, Cushing-Haugen, Kara L, additional, Jordan, Susan, additional, Kaufmann, Scott H, additional, Le, Nhu D, additional, Pike, Malcolm C, additional, Riggan, Marjorie, additional, Qin, Bo, additional, Rothstein, Joseph H, additional, Titus, Linda, additional, Winham, Stacey J, additional, Anton-Culver, Hoda, additional, Doherty, Jennifer A, additional, Goode, Ellen L, additional, Pearce, Celeste Leigh, additional, Risch, Harvey A, additional, AOCS Group, on behalf of the, additional, Webb, Penelope M, additional, Cook, Linda S, additional, Goodman, Marc T, additional, Harris, Holly R, additional, Le Marchand, Loic, additional, McGuire, Valerie, additional, Pharoah, Paul D P, additional, Sarink, Danja, additional, Schildkraut, Joellen M, additional, Sieh, Weiva, additional, Terry, Kathryn L, additional, Thompson, Pamela J, additional, Whittemore, Alice S, additional, Wu, Anna H, additional, Peres, Lauren C, additional, and Merritt, Melissa A, additional
Published: 2024
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13. A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome‐wide significant common variants

Author: Kim, Sehee, Wang, Miao, Tyrer, Jonathan P, Jensen, Allan, Wiensch, Ashley, Liu, Gang, Lee, Alice W, Ness, Roberta B, Salvatore, Maxwell, Tworoger, Shelley S, Whittemore, Alice S, Anton‐Culver, Hoda, Sieh, Weiva, Olson, Sara H, Berchuck, Andrew, Goode, Ellen L, Goodman, Marc T, Doherty, Jennifer Anne, Chenevix‐Trench, Georgia, Rossing, Mary Anne, Webb, Penelope M, Giles, Graham G, Terry, Kathryn L, Ziogas, Argyrios, Fortner, Renée T, Menon, Usha, Gayther, Simon A, Wu, Anna H, Song, Honglin, Brooks‐Wilson, Angela, Bandera, Elisa V, Cook, Linda S, Cramer, Daniel W, Milne, Roger L, Winham, Stacey J, Kjaer, Susanne K, Modugno, Francesmary, Thompson, Pamela J, Chang‐Claude, Jenny, Harris, Holly R, Schildkraut, Joellen M, Le, Nhu D, Wentzensen, Nico, Trabert, Britton, Høgdall, Estrid, Huntsman, David, Pike, Malcolm C, Pharoah, Paul DP, Pearce, Celeste Leigh, and Mukherjee, Bhramar
Subjects: Rare Diseases, Human Genome, Clinical Research, Genetics, Patient Safety, Cancer, Prevention, Ovarian Cancer, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Case-Control Studies, Contraceptives, Oral, Hormonal, Environment, Environmental Exposure, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Risk, ovarian cancer, genetics, additive interaction, G x E, G × E, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: As a follow-up to genome-wide association analysis of common variants associated with ovarian carcinoma (cancer), our study considers seven well-known ovarian cancer risk factors and their interactions with 28 genome-wide significant common genetic variants. The interaction analyses were based on data from 9971 ovarian cancer cases and 15,566 controls from 17 case-control studies. Likelihood ratio and Wald tests for multiplicative interaction and for relative excess risk due to additive interaction were used. The top multiplicative interaction was noted between oral contraceptive pill (OCP) use (ever vs. never) and rs13255292 (p value = 3.48 × 10-4 ). Among women with the TT genotype for this variant, the odds ratio for OCP use was 0.53 (95% CI = 0.46-0.60) compared to 0.71 (95%CI = 0.66-0.77) for women with the CC genotype. When stratified by duration of OCP use, women with 1-5 years of OCP use exhibited differential protective benefit across genotypes. However, no interaction on either the multiplicative or additive scale was found to be statistically significant after multiple testing correction. The results suggest that OCP use may offer increased benefit for women who are carriers of the T allele in rs13255292. On the other hand, for women carrying the C allele in this variant, longer (5+ years) use of OCP may reduce the impact of carrying the risk allele of this SNP. Replication of this finding is needed. The study presents a comprehensive analytic framework for conducting gene-environment analysis in ovarian cancer.
Published: 2019

14. Evaluation of vitamin D biosynthesis and pathway target genes reveals UGT2A1/2 and EGFR polymorphisms associated with epithelial ovarian cancer in African American Women

Author: Grant, Delores J, Manichaikul, Ani, Alberg, Anthony J, Bandera, Elisa V, Barnholtz‐Sloan, Jill, Bondy, Melissa, Cote, Michele L, Funkhouser, Ellen, Moorman, Patricia G, Peres, Lauren C, Peters, Edward S, Schwartz, Ann G, Terry, Paul D, Wang, Xin‐Qun, Keku, Temitope O, Hoyo, Cathrine, Berchuck, Andrew, Sandler, Dale P, Taylor, Jack A, O’Brien, Katie M, Edwards, Digna R Velez, Edwards, Todd L, Beeghly‐Fadiel, Alicia, Wentzensen, Nicolas, Pearce, Celeste Leigh, Wu, Anna H, Whittemore, Alice S, McGuire, Valerie, Sieh, Weiva, Rothstein, Joseph H, Modugno, Francesmary, Ness, Roberta, Moysich, Kirsten, Rossing, Mary Anne, Doherty, Jennifer A, Sellers, Thomas A, Permuth‐Way, Jennifer B, Monteiro, Alvaro N, Levine, Douglas A, Setiawan, Veronica Wendy, Haiman, Christopher A, LeMarchand, Loic, Wilkens, Lynne R, Karlan, Beth Y, Menon, Usha, Ramus, Susan, Gayther, Simon, Gentry‐Maharaj, Aleksandra, Terry, Kathryn L, Cramer, Daniel W, Goode, Ellen L, Larson, Melissa C, Kaufmann, Scott H, Cannioto, Rikki, Odunsi, Kunle, Etter, John L, Huang, Ruea‐Yea, Bernardini, Marcus Q, Tone, Alicia A, May, Taymaa, Goodman, Marc T, Thompson, Pamela J, Carney, Michael E, Tworoger, Shelley S, Poole, Elizabeth M, Lambrechts, Diether, Vergote, Ignace, Vanderstichele, Adriaan, Van Nieuwenhuysen, Els, Anton‐Culver, Hoda, Ziogas, Argyrios, Brenton, James D, Bjorge, Line, Salvensen, Helga B, Kiemeney, Lambertus A, Massuger, Leon FAG, Pejovic, Tanja, Bruegl, Amanda, Moffitt, Melissa, Cook, Linda, Le, Nhu D, Brooks‐Wilson, Angela, Kelemen, Linda E, Pharoah, Paul DP, Song, Honglin, Campbell, Ian, Eccles, Diana, DeFazio, Anna, Kennedy, Catherine J, and Schildkraut, Joellen M
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Biotechnology, Nutrition, Rare Diseases, Clinical Research, Genetics, Ovarian Cancer, Prevention, Cancer, 2.1 Biological and endogenous factors, Aetiology, Black or African American, Bayes Theorem, Carcinoma, Ovarian Epithelial, ErbB Receptors, Female, Genetic Association Studies, Glucuronosyltransferase, Humans, Logistic Models, Middle Aged, Neoplasm Grading, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Receptors, Calcitriol, Vitamin D, African ancestry risk, genetic association, ovarian cancer, vitamin D pathway, Biochemistry and Cell Biology, Oncology and carcinogenesis
Abstract: An association between genetic variants in the vitamin D receptor (VDR) gene and epithelial ovarian cancer (EOC) was previously reported in women of African ancestry (AA). We sought to examine associations between genetic variants in VDR and additional genes from vitamin D biosynthesis and pathway targets (EGFR, UGT1A, UGT2A1/2, UGT2B, CYP3A4/5, CYP2R1, CYP27B1, CYP24A1, CYP11A1, and GC). Genotyping was performed using the custom-designed 533,631 SNP Illumina OncoArray with imputation to the 1,000 Genomes Phase 3 v5 reference set in 755 EOC cases, including 537 high-grade serous (HGSOC), and 1,235 controls. All subjects are of African ancestry (AA). Logistic regression was performed to estimate odds ratios (OR) and 95% confidence intervals (CI). We further evaluated statistical significance of selected SNPs using the Bayesian False Discovery Probability (BFDP). A significant association with EOC was identified in the UGT2A1/2 region for the SNP rs10017134 (per allele OR = 1.4, 95% CI = 1.2-1.7, P = 1.2 × 10-6 , BFDP = 0.02); and an association with HGSOC was identified in the EGFR region for the SNP rs114972508 (per allele OR = 2.3, 95% CI = 1.6-3.4, P = 1.6 × 10-5 , BFDP = 0.29) and in the UGT2A1/2 region again for rs1017134 (per allele OR = 1.4, 95% CI = 1.2-1.7, P = 2.3 × 10-5 , BFDP = 0.23). Genetic variants in the EGFR and UGT2A1/2 may increase susceptibility of EOC in AA women. Future studies to validate these findings are warranted. Alterations in EGFR and UGT2A1/2 could perturb enzyme efficacy, proliferation in ovaries, impact and mark susceptibility to EOC.
Published: 2019

15. Association of p16 expression with prognosis varies across ovarian carcinoma histotypes: an Ovarian Tumor Tissue Analysis consortium study.

Author: Rambau, Peter F, Vierkant, Robert A, Intermaggio, Maria P, Kelemen, Linda E, Goodman, Marc T, Herpel, Esther, Pharoah, Paul D, Kommoss, Stefan, Jimenez-Linan, Mercedes, Karlan, Beth Y, Gentry-Maharaj, Aleksandra, Menon, Usha, Polo, Susanna Hernando, Candido Dos Reis, Francisco J, Doherty, Jennifer Anne, Gayther, Simon A, Sharma, Raghwa, Larson, Melissa C, Harnett, Paul R, Hatfield, Emma, de Andrade, Jurandyr M, Nelson, Gregg S, Steed, Helen, Schildkraut, Joellen M, Carney, Micheal E, Høgdall, Estrid, Whittemore, Alice S, Widschwendter, Martin, Kennedy, Catherine J, Wang, Frances, Wang, Qin, Wang, Chen, Armasu, Sebastian M, Daley, Frances, Coulson, Penny, Jones, Micheal E, Anglesio, Micheal S, Chow, Christine, de Fazio, Anna, García-Closas, Montserrat, Brucker, Sara Y, Cybulski, Cezary, Harris, Holly R, Hartkopf, Andreas D, Huzarski, Tomasz, Jensen, Allan, Lubiński, Jan, Oszurek, Oleg, Benitez, Javier, Mina, Fady, Staebler, Annette, Taran, Florin Andrei, Pasternak, Jana, Talhouk, Aline, Rossing, Mary Anne, Hendley, Joy, AOCS Group, Edwards, Robert P, Fereday, Sian, Modugno, Francesmary, Ness, Roberta B, Sieh, Weiva, El-Bahrawy, Mona A, Winham, Stacey J, Lester, Jenny, Kjaer, Susanne K, Gronwald, Jacek, Sinn, Peter, Fasching, Peter A, Chang-Claude, Jenny, Moysich, Kirsten B, Bowtell, David D, Hernandez, Brenda Y, Luk, Hugh, Behrens, Sabine, Shah, Mitul, Jung, Audrey, Ghatage, Prafull, Alsop, Jennifer, Alsop, Kathryn, García-Donas, Jesús, Thompson, Pamela J, Swerdlow, Anthony J, Karpinskyj, Chloe, Cazorla-Jiménez, Alicia, García, María J, Deen, Susha, Wilkens, Lynne R, Palacios, José, Berchuck, Andrew, Koziak, Jennifer M, Brenton, James D, Cook, Linda S, Goode, Ellen L, Huntsman, David G, Ramus, Susan J, and Köbel, Martin
Subjects: AOCS Group, Ovary, Humans, Adenocarcinoma, Mucinous, Cystadenocarcinoma, Serous, Ovarian Neoplasms, Prognosis, Immunohistochemistry, Survival Rate, Adult, Aged, Middle Aged, Female, Cyclin-Dependent Kinase Inhibitor p16, RT-QPCR, immunocytochemistry, ovary, Adenocarcinoma, Mucinous, Cystadenocarcinoma, Serous, Cancer, Genetics, Ovarian Cancer, Rare Diseases, 2.1 Biological and endogenous factors
Abstract: We aimed to validate the prognostic association of p16 expression in ovarian high-grade serous carcinomas (HGSC) and to explore it in other ovarian carcinoma histotypes. p16 protein expression was assessed by clinical-grade immunohistochemistry in 6525 ovarian carcinomas including 4334 HGSC using tissue microarrays from 24 studies participating in the Ovarian Tumor Tissue Analysis consortium. p16 expression patterns were interpreted as abnormal (either overexpression referred to as block expression or absence) or normal (heterogeneous). CDKN2A (which encodes p16) mRNA expression was also analyzed in a subset (n = 2280) mostly representing HGSC (n = 2010). Association of p16 expression with overall survival (OS) was determined within histotypes as was CDKN2A expression for HGSC only. p16 block expression was most frequent in HGSC (56%) but neither protein nor mRNA expression was associated with OS. However, relative to heterogeneous expression, block expression was associated with shorter OS in endometriosis-associated carcinomas, clear cell [hazard ratio (HR): 2.02, 95% confidence (CI) 1.47-2.77, p < 0.001] and endometrioid (HR: 1.88, 95% CI 1.30-2.75, p = 0.004), while absence was associated with shorter OS in low-grade serous carcinomas (HR: 2.95, 95% CI 1.61-5.38, p = 0.001). Absence was most frequent in mucinous carcinoma (50%), and was not associated with OS in this histotype. The prognostic value of p16 expression is histotype-specific and pattern dependent. We provide definitive evidence against an association of p16 expression with survival in ovarian HGSC as previously suggested. Block expression of p16 in clear cell and endometrioid carcinoma should be further validated as a prognostic marker, and absence in low-grade serous carcinoma justifies CDK4 inhibition.
Published: 2018

16. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author: Dareng, Eileen O., Tyrer, Jonathan P., Barnes, Daniel R., Jones, Michelle R., Yang, Xin, Aben, Katja K. H., Adank, Muriel A., Agata, Simona, Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Aravantinos, Gerasimos, Arun, Banu K., Augustinsson, Annelie, Balmaña, Judith, Bandera, Elisa V., Barkardottir, Rosa B., Barrowdale, Daniel, Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q., Bjorge, Line, Black, Amanda, Bogdanova, Natalia V., Bonanni, Bernardo, Borg, Ake, Brenton, James D., Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S., Cai, Hui, Caligo, Maria A., Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K., Claes, Kathleen B. M., Colonna, Sarah, Cook, Linda S., Couch, Fergus J., Daly, Mary B., Dao, Fanny, Davies, Eleanor, de la Hoya, Miguel, de Putter, Robin, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A., Domchek, Susan M., Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M., Eliassen, Heather A., Engel, Christoph, Evans, Gareth D., Fasching, Peter A., Flanagan, James M., Fortner, Renée T., Machackova, Eva, Friedman, Eitan, Ganz, Patricia A., Garber, Judy, Gensini, Francesca, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goodman, Marc T., Greene, Mark H., Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hamann, Ute, Hansen, Thomas V. O., Harris, Holly R., Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle A. T., Høgdall, Estrid, Høgdall, Claus K., Hopper, John L., Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J., Huntsman, David G., Imyanitov, Evgeny N., Isaacs, Claudine, Jakubowska, Anna, James, Paul A., Janavicius, Ramunas, Jensen, Allan, Johannsson, Oskar Th., John, Esther M., Jones, Michael E., Kang, Daehee, Karlan, Beth Y., Karnezis, Anthony, Kelemen, Linda E., Khusnutdinova, Elza, Kiemeney, Lambertus A., Kim, Byoung-Gie, Kjaer, Susanne K., Komenaka, Ian, Kupryjanczyk, Jolanta, Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Melissa C., Lazaro, Conxi, Le, Nhu D., Leslie, Goska, Lester, Jenny, Lesueur, Fabienne, Levine, Douglas A., Li, Lian, Li, Jingmei, Loud, Jennifer T., Lu, Karen H., Lubiński, Jan, Mai, Phuong L., Manoukian, Siranoush, Marks, Jeffrey R., Matsuno, Rayna Kim, Matsuo, Keitaro, May, Taymaa, McGuffog, Lesley, McLaughlin, John R., McNeish, Iain A., Mebirouk, Noura, Menon, Usha, Miller, Austin, Milne, Roger L., Minlikeeva, Albina, Modugno, Francesmary, Montagna, Marco, Moysich, Kirsten B., Munro, Elizabeth, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Nielsen, Henriette Roed, Nielsen, Finn C., Nikitina-Zake, Liene, Odunsi, Kunle, Offit, Kenneth, Olah, Edith, Olbrecht, Siel, Olopade, Olufunmilayo I., Olson, Sara H., Olsson, Håkan, Osorio, Ana, Papi, Laura, Park, Sue K., Parsons, Michael T., Pathak, Harsha, Pedersen, Inge Sokilde, Peixoto, Ana, Pejovic, Tanja, Perez-Segura, Pedro, Permuth, Jennifer B., Peshkin, Beth, Peterlongo, Paolo, Piskorz, Anna, Prokofyeva, Darya, Radice, Paolo, Rantala, Johanna, Riggan, Marjorie J., Risch, Harvey A., Rodriguez-Antona, Cristina, Ross, Eric, Rossing, Mary Anne, Runnebaum, Ingo, Sandler, Dale P., Santamariña, Marta, Soucy, Penny, Schmutzler, Rita K., Setiawan, V. Wendy, Shan, Kang, Sieh, Weiva, Simard, Jacques, Singer, Christian F., Sokolenko, Anna P., Song, Honglin, Southey, Melissa C., Steed, Helen, Stoppa-Lyonnet, Dominique, Sutphen, Rebecca, Swerdlow, Anthony J., Tan, Yen Yen, Teixeira, Manuel R., Teo, Soo Hwang, Terry, Kathryn L., Terry, Mary Beth, Thomassen, Mads, Thompson, Pamela J., Thomsen, Liv Cecilie Vestrheim, Thull, Darcy L., Tischkowitz, Marc, Titus, Linda, Toland, Amanda E., Torres, Diana, Trabert, Britton, Travis, Ruth, Tung, Nadine, Tworoger, Shelley S., Valen, Ellen, van Altena, Anne M., van der Hout, Annemieke H., Van Nieuwenhuysen, Els, van Rensburg, Elizabeth J., Vega, Ana, Edwards, Digna Velez, Vierkant, Robert A., Wang, Frances, Wappenschmidt, Barbara, Webb, Penelope M., Weinberg, Clarice R., Weitzel, Jeffrey N., Wentzensen, Nicolas, White, Emily, Whittemore, Alice S., Winham, Stacey J., Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H., Yan, Li, Yannoukakos, Drakoulis, Zavaglia, Katia M., Zheng, Wei, Ziogas, Argyrios, Zorn, Kristin K., Kleibl, Zdenek, Easton, Douglas, Lawrenson, Kate, DeFazio, Anna, Sellers, Thomas A., Ramus, Susan J., Pearce, Celeste L., Monteiro, Alvaro N., Cunningham, Julie, Goode, Ellen L., Schildkraut, Joellen M., Berchuck, Andrew, Chenevix-Trench, Georgia, Gayther, Simon A., Antoniou, Antonis C., and Pharoah, Paul D. P.
Published: 2022
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17. Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study

Author: Ong, Jue-Sheng, Hwang, Liang-Dar, Cuellar-Partida, Gabriel, Martin, Nicholas G, Chenevix-Trench, Georgia, Quinn, Michael CJ, Cornelis, Marilyn C, Gharahkhani, Puya, Webb, Penelope M, MacGregor, Stuart, Bryne, Enda, Fasching, Peter A, Hein, Alexander, Burghaus, Stefanie, Beckmann, Matthias W, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Vanderstichele, Adriaan, Swerdlow, Anthony J, Jones, Michael, Orr, Nicholas, Schoemaker, Minouk, Edwards, Digna Velez, Brenton, James, Benítez, Javier, García, María J, Rodriguez-Antona, Cristina, Rossing, Mary Anne, Fortner, Renée T, Riboli, Elio, Chang-Claude, Jenny, Eilber, Ursula, Wang-Gohrke, Shan, Yannoukakos, Drakoulis, Goodman, Marc T, Bogdanova, Natalia, Dörk, Thilo, Duerst, Matthias, Hillemanns, Peter, Runnebaum, Ingo B, Antonenkova, Natalia, Butzow, Ralf, Nevanlinna, Heli, Pelttari, Liisa M, Edwards, Robert P, Kelley, Joseph L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Cannioto, Rikki, Heitz, Florian, Karlan, Beth, Olsson, Håkan, Kjaer, Susanne K, Jensen, Allan, Giles, Graham G, Bruinsma, Fiona, Hildebrandt, Michelle AT, Liang, Dong, Wu, Xifeng, Le Marchand, Loic, Setiawan, V Wendy, Permuth, Jennifer B, Bisogna, Maria, Dao, Fanny, Levine, Douglas A, Cramer, Daniel W, Terry, Kathryn L, Tworoger, Shelley S, Stampfer, Meir, Willet, Walter, Missmer, Stacey, Bjorge, Line, Kopperud, Reidun K, Bischof, Katharina, Thomsen, Liv Cecilie Vestrheim, Kiemeney, Lambertus A, Massuger, Leon FAG, Pejovic, Tanja, Brooks-Wilson, Angela, Olson, Sara H, McGuire, Valerie, Rothstein, Joseph H, Sieh, Weiva, Whittemore, Alice S, Cook, Linda S, Le, Nhu D, Gilks, C Blake, Gronwald, Jacek, Jakubowska, Anna, Lubiński, Jan, Kluz, Tomasz, Wentzensen, Nicolas, Brinton, Louise, Trabert, Britton, and Lissowska, Jolanta
Subjects: Epidemiology, Health Sciences, Clinical Research, Ovarian Cancer, Nutrition, Rare Diseases, Prevention, Cancer, Genetics, 2.1 Biological and endogenous factors, Aetiology, Carcinoma, Ovarian Epithelial, Coffee, Female, Humans, Mendelian Randomization Analysis, Odds Ratio, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Risk Factors, Ovarian Cancer Association Consortium, Statistics, Public Health and Health Services, Public health
Abstract: BackgroundCoffee consumption has been shown to be associated with various health outcomes in observational studies. However, evidence for its association with epithelial ovarian cancer (EOC) is inconsistent and it is unclear whether these associations are causal.MethodsWe used single nucleotide polymorphisms associated with (i) coffee and (ii) caffeine consumption to perform Mendelian randomization (MR) on EOC risk. We conducted a two-sample MR using genetic data on 44 062 individuals of European ancestry from the Ovarian Cancer Association Consortium (OCAC), and combined instrumental variable estimates using a Wald-type ratio estimator.ResultsFor all EOC cases, the causal odds ratio (COR) for genetically predicted consumption of one additional cup of coffee per day was 0.92 [95% confidence interval (CI): 0.79, 1.06]. The COR was 0.90 (95% CI: 0.73, 1.10) for high-grade serous EOC. The COR for genetically predicted consumption of an additional 80 mg caffeine was 1.01 (95% CI: 0.92, 1.11) for all EOC cases and 0.90 (95% CI: 0.73, 1.10) for high-grade serous cases.ConclusionsWe found no evidence indicative of a strong association between EOC risk and genetically predicted coffee or caffeine levels. However, our estimates were not statistically inconsistent with earlier observational studies and we were unable to rule out small protective associations.
Published: 2018

18. Adult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study

Author: Dixon-Suen, Suzanne C, Nagle, Christina M, Thrift, Aaron P, Pharoah, Paul DP, Ewing, Ailith, Pearce, Celeste Leigh, Zheng, Wei, Australian Ovarian Cancer Study Group, Chenevix-Trench, Georgia, Fasching, Peter A, Beckmann, Matthias W, Lambrechts, Diether, Vergote, Ignace, Lambrechts, Sandrina, Van Nieuwenhuysen, Els, Rossing, Mary Anne, Doherty, Jennifer A, Wicklund, Kristine G, Chang-Claude, Jenny, Jung, Audrey Y, Moysich, Kirsten B, Odunsi, Kunle, Goodman, Marc T, Wilkens, Lynne R, Thompson, Pamela J, Shvetsov, Yurii B, Dörk, Thilo, Park-Simon, Tjoung-Won, Hillemanns, Peter, Bogdanova, Natalia, Butzow, Ralf, Nevanlinna, Heli, Pelttari, Liisa M, Leminen, Arto, Modugno, Francesmary, Ness, Roberta B, Edwards, Robert P, Kelley, Joseph L, Heitz, Florian, du Bois, Andreas, Harter, Philipp, Schwaab, Ira, Karlan, Beth Y, Lester, Jenny, Orsulic, Sandra, Rimel, Bobbie J, Kjær, Susanne K, Høgdall, Estrid, Jensen, Allan, Goode, Ellen L, Fridley, Brooke L, Cunningham, Julie M, Winham, Stacey J, Giles, Graham G, Bruinsma, Fiona, Milne, Roger L, Southey, Melissa C, Hildebrandt, Michelle AT, Wu, Xifeng, Lu, Karen H, Liang, Dong, Levine, Douglas A, Bisogna, Maria, Schildkraut, Joellen M, Berchuck, Andrew, Cramer, Daniel W, Terry, Kathryn L, Bandera, Elisa V, Olson, Sara H, Salvesen, Helga B, Thomsen, Liv Cecilie Vestrheim, Kopperud, Reidun K, Bjorge, Line, Kiemeney, Lambertus A, Massuger, Leon FAG, Pejovic, Tanja, Bruegl, Amanda, Cook, Linda S, Le, Nhu D, Swenerton, Kenneth D, Brooks-Wilson, Angela, Kelemen, Linda E, Lubiński, Jan, Huzarski, Tomasz, Gronwald, Jacek, Menkiszak, Janusz, Wentzensen, Nicolas, Brinton, Louise, Yang, Hannah, Lissowska, Jolanta, Høgdall, Claus K, Lundvall, Lene, Song, Honglin, Tyrer, Jonathan P, Campbell, Ian, Eccles, Diana, Paul, James, Glasspool, Rosalind, Siddiqui, Nadeem, and Whittemore, Alice S
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Women's Health, Cancer, Ovarian Cancer, Prevention, Rare Diseases, 2.1 Biological and endogenous factors, Adolescent, Adult, Aged, Aged, 80 and over, Body Height, Carcinoma, Ovarian Epithelial, Case-Control Studies, Female, Genetic Predisposition to Disease, Geography, Humans, Mendelian Randomization Analysis, Middle Aged, Ovarian Neoplasms, Risk Factors, Young Adult, Australian Ovarian Cancer Study Group, Ovarian Cancer Association Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: BackgroundObservational studies suggest greater height is associated with increased ovarian cancer risk, but cannot exclude bias and/or confounding as explanations for this. Mendelian randomisation (MR) can provide evidence which may be less prone to bias.MethodsWe pooled data from 39 Ovarian Cancer Association Consortium studies (16,395 cases; 23,003 controls). We applied two-stage predictor-substitution MR, using a weighted genetic risk score combining 609 single-nucleotide polymorphisms. Study-specific odds ratios (OR) and 95% confidence intervals (CI) for the association between genetically predicted height and risk were pooled using random-effects meta-analysis.ResultsGreater genetically predicted height was associated with increased ovarian cancer risk overall (pooled-OR (pOR) = 1.06; 95% CI: 1.01-1.11 per 5 cm increase in height), and separately for invasive (pOR = 1.06; 95% CI: 1.01-1.11) and borderline (pOR = 1.15; 95% CI: 1.02-1.29) tumours.ConclusionsWomen with a genetic propensity to being taller have increased risk of ovarian cancer. This suggests genes influencing height are involved in pathways promoting ovarian carcinogenesis.
Published: 2018

19. MyD88 and TLR4 Expression in Epithelial Ovarian Cancer.

Author: Block, Matthew S, Vierkant, Robert A, Rambau, Peter F, Winham, Stacey J, Wagner, Philipp, Traficante, Nadia, Tołoczko, Aleksandra, Tiezzi, Daniel G, Taran, Florin Andrei, Sinn, Peter, Sieh, Weiva, Sharma, Raghwa, Rothstein, Joseph H, Ramón Y Cajal, Teresa, Paz-Ares, Luis, Oszurek, Oleg, Orsulic, Sandra, Ness, Roberta B, Nelson, Gregg, Modugno, Francesmary, Menkiszak, Janusz, McGuire, Valerie, McCauley, Bryan M, Mack, Marie, Lubiński, Jan, Longacre, Teri A, Li, Zheng, Lester, Jenny, Kennedy, Catherine J, Kalli, Kimberly R, Jung, Audrey Y, Johnatty, Sharon E, Jimenez-Linan, Mercedes, Jensen, Allan, Intermaggio, Maria P, Hung, Jillian, Herpel, Esther, Hernandez, Brenda Y, Hartkopf, Andreas D, Harnett, Paul R, Ghatage, Prafull, García-Bueno, José M, Gao, Bo, Fereday, Sian, Eilber, Ursula, Edwards, Robert P, de Sousa, Christiani B, de Andrade, Jurandyr M, Chudecka-Głaz, Anita, Chenevix-Trench, Georgia, Cazorla, Alicia, Brucker, Sara Y, Australian Ovarian Cancer Study Group, Alsop, Jennifer, Whittemore, Alice S, Steed, Helen, Staebler, Annette, Moysich, Kirsten B, Menon, Usha, Koziak, Jennifer M, Kommoss, Stefan, Kjaer, Susanne K, Kelemen, Linda E, Karlan, Beth Y, Huntsman, David G, Høgdall, Estrid, Gronwald, Jacek, Goodman, Marc T, Gilks, Blake, García, María José, Fasching, Peter A, de Fazio, Anna, Deen, Suha, Chang-Claude, Jenny, Candido Dos Reis, Francisco J, Campbell, Ian G, Brenton, James D, Bowtell, David D, Benítez, Javier, Pharoah, Paul DP, Köbel, Martin, Ramus, Susan J, and Goode, Ellen L
Subjects: Australian Ovarian Cancer Study Group, Humans, Ovarian Neoplasms, Tissue Array Analysis, Immunohistochemistry, Survival Analysis, Adult, Aged, Middle Aged, Female, Toll-Like Receptor 4, Myeloid Differentiation Factor 88, Biomarkers, Tumor, Carcinoma, Ovarian Epithelial, Biomarkers, Tumor, Carcinoma, Ovarian Epithelial, Medical and Health Sciences
Abstract: ObjectiveTo evaluate myeloid differentiation primary response gene 88 (MyD88) and Toll-like receptor 4 (TLR4) expression in relation to clinical features of epithelial ovarian cancer, histologic subtypes, and overall survival.Patients and methodsWe conducted centralized immunohistochemical staining, semi-quantitative scoring, and survival analysis in 5263 patients participating in the Ovarian Tumor Tissue Analysis consortium. Patients were diagnosed between January 1, 1978, and December 31, 2014, including 2865 high-grade serous ovarian carcinomas (HGSOCs), with more than 12,000 person-years of follow-up time. Tissue microarrays were stained for MyD88 and TLR4, and staining intensity was classified using a 2-tiered system for each marker (weak vs strong).ResultsExpression of MyD88 and TLR4 was similar in all histotypes except clear cell ovarian cancer, which showed reduced expression compared with other histotypes (P
Published: 2018

20. Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer

Author: Goode, Ellen L, Block, Matthew S, Kalli, Kimberly R, Vierkant, Robert A, Chen, Wenqian, Fogarty, Zachary C, Gentry-Maharaj, Aleksandra, Tołoczko, Aleksandra, Hein, Alexander, Bouligny, Aliecia L, Jensen, Allan, Osorio, Ana, Hartkopf, Andreas D, Ryan, Andy, Chudecka-Głaz, Anita, Magliocco, Anthony M, Hartmann, Arndt, Jung, Audrey Y, Gao, Bo, Hernandez, Brenda Y, Fridley, Brooke L, McCauley, Bryan M, Kennedy, Catherine J, Wang, Chen, Karpinskyj, Chloe, de Sousa, Christiani B, Tiezzi, Daniel G, Wachter, David L, Herpel, Esther, Taran, Florin Andrei, Modugno, Francesmary, Nelson, Gregg, Lubiński, Jan, Menkiszak, Janusz, Alsop, Jennifer, Lester, Jenny, García-Donas, Jesús, Nation, Jill, Hung, Jillian, Palacios, José, Rothstein, Joseph H, Kelley, Joseph L, de Andrade, Jurandyr M, Robles-Díaz, Luis, Intermaggio, Maria P, Widschwendter, Martin, Beckmann, Matthias W, Ruebner, Matthias, Jimenez-Linan, Mercedes, Singh, Naveena, Oszurek, Oleg, Harnett, Paul R, Rambau, Peter F, Sinn, Peter, Wagner, Philipp, Ghatage, Prafull, Sharma, Raghwa, Edwards, Robert P, Ness, Roberta B, Orsulic, Sandra, Brucker, Sara Y, Johnatty, Sharon E, Longacre, Teri A, Eilber, Ursula, McGuire, Valerie, Sieh, Weiva, Natanzon, Yanina, Li, Zheng, Whittemore, Alice S, deFazio, Anna, Staebler, Annette, Karlan, Beth Y, Gilks, Blake, Bowtell, David D, Høgdall, Estrid, dos Reis, Francisco J Candido, Steed, Helen, Campbell, Ian G, Gronwald, Jacek, Benítez, Javier, Koziak, Jennifer M, Chang-Claude, Jenny, Moysich, Kirsten B, Kelemen, Linda E, Cook, Linda S, Goodman, Marc T, García, María José, Fasching, Peter A, Kommoss, Stefan, Deen, Suha, Kjaer, Susanne K, Menon, Usha, Brenton, James D, Pharoah, Paul DP, Chenevix-Trench, Georgia, Huntsman, David G, Winham, Stacey J, Köbel, Martin, and Ramus, Susan J
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Immunology, Cancer, Prevention, Vaccine Related, Rare Diseases, Clinical Research, Ovarian Cancer, BRCA2 Protein, CD8 Antigens, Carcinoma, Ovarian Epithelial, Cohort Studies, Cystadenocarcinoma, Serous, Female, Humans, Lymphocytes, Tumor-Infiltrating, Middle Aged, Mutation, Neoplasm Grading, Ovarian Neoplasms, Prospective Studies, Survival Analysis, Treatment Outcome, Ovarian Tumor Tissue Analysis (OTTA) Consortium, Public Health and Health Services, Oncology and carcinogenesis
Abstract: ImportanceCytotoxic CD8+ tumor-infiltrating lymphocytes (TILs) participate in immune control of epithelial ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors.ObjectiveTo define the prognostic role of CD8+ TILs in epithelial ovarian cancer.Design, setting, and participantsThis was a multicenter observational, prospective survival cohort study of the Ovarian Tumor Tissue Analysis Consortium. More than 5500 patients, including 3196 with high-grade serous ovarian carcinomas (HGSOCs), were followed prospectively for over 24 650 person-years.ExposuresFollowing immunohistochemical analysis, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1-2), moderate (3-19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines.Main outcomes and measuresOverall survival time.ResultsThe final sample included 5577 women; mean age at diagnosis was 58.4 years (median, 58.2 years). Among the 5 major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (P value for trend = 4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not for those with the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near-log-linear functional form.Conclusions and relevanceThis study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors that drive infiltration will be the key to unraveling outcome heterogeneity in this cancer.
Published: 2017

21. Pubertal development in girls by breast cancer family history: the LEGACY girls cohort

Author: Terry, Mary Beth, Keegan, Theresa HM, Houghton, Lauren C, Goldberg, Mandy, Andrulis, Irene L, Daly, Mary B, Buys, Saundra S, Wei, Ying, Whittemore, Alice S, Protacio, Angeline, Bradbury, Angela R, Chung, Wendy K, Knight, Julia A, and John, Esther M
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Cancer, Body Mass Index, Breast Neoplasms, Canada, Child, Child, Preschool, Cohort Studies, Female, Humans, Incidence, Kaplan-Meier Estimate, Menarche, Odds Ratio, Population Surveillance, Puberty, Risk, United States, BMI, Breast cancer, Breast cancer family history, Pubertal development, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: BackgroundPubertal milestones, such as onset of breast development and menstruation, play an important role in breast cancer etiology. It is unclear if these milestones are different in girls with a first- or second-degree breast cancer family history (BCFH).MethodsIn the LEGACY Girls Study (n = 1040), we examined whether three mother/guardian-reported pubertal milestones (having reached Tanner Stage 2 or higher (T2+) for breast and pubic hair development, and having started menstruation) differed by BCFH. We also examined whether associations between body size and race/ethnicity and pubertal milestones were modified by BCFH. We used mother/guardian reports as the primary measure of pubertal milestones, but also conducted sensitivity analyses using clinical Tanner measurements available for a subcohort (n = 204). We analyzed cross-sectional baseline data with logistic regression models for the entire cohort, and longitudinal data with Weibull survival models for the subcohort of girls that were aged 5-7 years at baseline (n = 258).ResultsBCFH was modestly, but not statistically significantly, associated with Breast T2+ (odds ratio (OR) = 1.36, 95% confidence interval (CI) = 0.88-2.10), with a stronger association seen in the subcohort of girls with clinical breast Tanner staging (OR = 2.20, 95% CI = 0.91-5.32). In a longitudinal analysis of girls who were aged 5-7 years at baseline, BCFH was associated with a 50% increased rate of having early breast development (hazard ratio (HR) = 1.49, 95% CI = 1.0-2.21). This association increased to twofold in girls who were not overweight at baseline (HR = 2.04, 95% CI = 1.29-3.21). BCFH was not associated with pubic hair development and post-menarche status. The median interval between onset of breast development and menarche was longer for BCFH+ than BCFH- girls (2.3 versus 1.7 years), suggesting a slower developmental tempo for BCFH+ girls. Associations between pubertal milestones and body size and race/ethnicity were similar in girls with or without a BCFH. For example, weight was positively associated with Breast T2+ in both girls with (OR = 1.06 per 1 kg, 95% CI = 1.03-1.10) and without (OR = 1.14 per 1 kg, 95% CI = 1.04-1.24) a BCFH.ConclusionsThese results suggest that BCFH may be related to earlier breast development and slower pubertal tempo independent of body size and race/ethnicity.
Published: 2017

22. Dose-Response Association of CD8+ Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer.

Author: Ovarian Tumor Tissue Analysis (OTTA) Consortium, Goode, Ellen L, Block, Matthew S, Kalli, Kimberly R, Vierkant, Robert A, Chen, Wenqian, Fogarty, Zachary C, Gentry-Maharaj, Aleksandra, Tołoczko, Aleksandra, Hein, Alexander, Bouligny, Aliecia L, Jensen, Allan, Osorio, Ana, Hartkopf, Andreas, Ryan, Andy, Chudecka-Głaz, Anita, Magliocco, Anthony M, Hartmann, Arndt, Jung, Audrey Y, Gao, Bo, Hernandez, Brenda Y, Fridley, Brooke L, McCauley, Bryan M, Kennedy, Catherine J, Wang, Chen, Karpinskyj, Chloe, de Sousa, Christiani B, Tiezzi, Daniel G, Wachter, David L, Herpel, Esther, Taran, Florin Andrei, Modugno, Francesmary, Nelson, Gregg, Lubiński, Jan, Menkiszak, Janusz, Alsop, Jennifer, Lester, Jenny, García-Donas, Jesús, Nation, Jill, Hung, Jillian, Palacios, José, Rothstein, Joseph H, Kelley, Joseph L, de Andrade, Jurandyr M, Robles-Díaz, Luis, Intermaggio, Maria P, Widschwendter, Martin, Beckmann, Matthias W, Ruebner, Matthias, Jimenez-Linan, Mercedes, Singh, Naveena, Oszurek, Oleg, Harnett, Paul R, Rambau, Peter F, Sinn, Peter, Wagner, Philipp, Ghatage, Prafull, Sharma, Raghwa, Edwards, Robert P, Ness, Roberta B, Orsulic, Sandra, Brucker, Sara Y, Johnatty, Sharon E, Longacre, Teri A, Ursula, Eilber, McGuire, Valerie, Sieh, Weiva, Natanzon, Yanina, Li, Zheng, Whittemore, Alice S, Anna, deFazio, Staebler, Annette, Karlan, Beth Y, Gilks, Blake, Bowtell, David D, Høgdall, Estrid, Candido dos Reis, Francisco J, Steed, Helen, Campbell, Ian G, Gronwald, Jacek, Benítez, Javier, Koziak, Jennifer M, Chang-Claude, Jenny, Moysich, Kirsten B, Kelemen, Linda E, Cook, Linda S, Goodman, Marc T, García, María José, Fasching, Peter A, Kommoss, Stefan, Deen, Suha, Kjaer, Susanne K, Menon, Usha, Brenton, James D, Pharoah, Paul DP, Chenevix-Trench, Georgia, Huntsman, David G, Winham, Stacey J, Köbel, Martin, and Ramus, Susan J
Subjects: Ovarian Tumor Tissue Analysis (OTTA) Consortium, Lymphocytes, Tumor-Infiltrating, Humans, Cystadenocarcinoma, Serous, Ovarian Neoplasms, BRCA2 Protein, Treatment Outcome, Survival Analysis, Cohort Studies, Prospective Studies, Mutation, Middle Aged, Female, Neoplasm Grading, CD8 Antigens, Carcinoma, Ovarian Epithelial, Lymphocytes, Tumor-Infiltrating, Cystadenocarcinoma, Serous, Carcinoma, Ovarian Epithelial, Cancer, Prevention, Ovarian Cancer, Rare Diseases, Vaccine Related, Clinical Research, Oncology and Carcinogenesis, Public Health and Health Services
Abstract: ImportanceCytotoxic CD8+ tumor-infiltrating lymphocytes (TILs) participate in immune control of epithelial ovarian cancer; however, little is known about prognostic patterns of CD8+ TILs by histotype and in relation to other clinical factors.ObjectiveTo define the prognostic role of CD8+ TILs in epithelial ovarian cancer.Design, setting, and participantsThis was a multicenter observational, prospective survival cohort study of the Ovarian Tumor Tissue Analysis Consortium. More than 5500 patients, including 3196 with high-grade serous ovarian carcinomas (HGSOCs), were followed prospectively for over 24 650 person-years.ExposuresFollowing immunohistochemical analysis, CD8+ TILs were identified within the epithelial components of tumor islets. Patients were grouped based on the estimated number of CD8+ TILs per high-powered field: negative (none), low (1-2), moderate (3-19), and high (≥20). CD8+ TILs in a subset of patients were also assessed in a quantitative, uncategorized manner, and the functional form of associations with survival was assessed using penalized B-splines.Main outcomes and measuresOverall survival time.ResultsThe final sample included 5577 women; mean age at diagnosis was 58.4 years (median, 58.2 years). Among the 5 major invasive histotypes, HGSOCs showed the most infiltration. CD8+ TILs in HGSOCs were significantly associated with longer overall survival; median survival was 2.8 years for patients with no CD8+ TILs and 3.0 years, 3.8 years, and 5.1 years for patients with low, moderate, or high levels of CD8+ TILs, respectively (P value for trend = 4.2 × 10−16). A survival benefit was also observed among women with endometrioid and mucinous carcinomas, but not for those with the other histotypes. Among HGSOCs, CD8+ TILs were favorable regardless of extent of residual disease following cytoreduction, known standard treatment, and germline BRCA1 pathogenic mutation, but were not prognostic for BRCA2 mutation carriers. Evaluation of uncategorized CD8+ TIL counts showed a near-log-linear functional form.Conclusions and relevanceThis study demonstrates the histotype-specific nature of immune infiltration and provides definitive evidence for a dose-response relationship between CD8+ TILs and HGSOC survival. That the extent of infiltration is prognostic, not merely its presence or absence, suggests that understanding factors that drive infiltration will be the key to unraveling outcome heterogeneity in this cancer.
Published: 2017

23. Germline whole exome sequencing and large-scale replication identifies FANCM as a likely high grade serous ovarian cancer susceptibility gene

Author: Dicks, Ed, Song, Honglin, Ramus, Susan J, Van Oudenhove, Elke, Tyrer, Jonathan P, Intermaggio, Maria P, Kar, Siddhartha, Harrington, Patricia, Bowtell, David D, Group, AOCS Study, Cicek, Mine S, Cunningham, Julie M, Fridley, Brooke L, Alsop, Jennifer, Jimenez-Linan, Mercedes, Piskorz, Anna, Goranova, Teodora, Kent, Emma, Siddiqui, Nadeem, Paul, James, Crawford, Robin, Poblete, Samantha, Lele, Shashi, Sucheston-Campbell, Lara, Moysich, Kirsten B, Sieh, Weiva, McGuire, Valerie, Lester, Jenny, Odunsi, Kunle, Whittemore, Alice S, Bogdanova, Natalia, Dürst, Matthias, Hillemanns, Peter, Karlan, Beth Y, Gentry-Maharaj, Aleksandra, Menon, Usha, Tischkowitz, Marc, Levine, Douglas, Brenton, James D, Dörk, Thilo, Goode, Ellen L, Gayther, Simon A, and Pharoah, Paul DP
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Genetic Testing, Rare Diseases, Ovarian Cancer, Clinical Research, Cancer, Prevention, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, ovarian cancer, susceptibility genes, DNA repair, next generation sequencing, Next generation sequencing, Susceptibility Genes, Oncology and carcinogenesis
Abstract: We analyzed whole exome sequencing data in germline DNA from 412 high grade serous ovarian cancer (HGSOC) cases from The Cancer Genome Atlas Project and identified 5,517 genes harboring a predicted deleterious germline coding mutation in at least one HGSOC case. Gene-set enrichment analysis showed enrichment for genes involved in DNA repair (p = 1.8x10-3). Twelve DNA repair genes - APEX1, APLF, ATX, EME1, FANCL, FANCM, MAD2L2, PARP2, PARP3, POLN, RAD54L and SMUG1 - were prioritized for targeted sequencing in up to 3,107 HGSOC cases, 1,491 cases of other epithelial ovarian cancer (EOC) subtypes and 3,368 unaffected controls of European origin. We estimated mutation prevalence for each gene and tested for associations with disease risk. Mutations were identified in both cases and controls in all genes except MAD2L2, where we found no evidence of mutations in controls. In FANCM we observed a higher mutation frequency in HGSOC cases compared to controls (29/3,107 cases, 0.96 percent; 13/3,368 controls, 0.38 percent; P=0.008) with little evidence for association with other subtypes (6/1,491, 0.40 percent; P=0.82). The relative risk of HGSOC associated with deleterious FANCM mutations was estimated to be 2.5 (95% CI 1.3 - 5.0; P=0.006). In summary, whole exome sequencing of EOC cases with large-scale replication in case-control studies has identified FANCM as a likely novel susceptibility gene for HGSOC, with mutations associated with a moderate increase in risk. These data may have clinical implications for risk prediction and prevention approaches for high-grade serous ovarian cancer in the future and a significant impact on reducing disease mortality.
Published: 2017

24. RE: "RISK PREDICTION FOR EPITHELIAL OVARIAN CANCER IN 11 UNITED STATES-BASED CASE-CONTROL STUDIES: INCORPORATION OF EPIDEMIOLOGIC RISK FACTORS AND 17 CONFIRMED GENETIC LOCI".

Author: Clyde, Merlise A, Weber, Rachel Palmieri, Iversen, Edwin S, Poole, Elizabeth M, Doherty, Jennifer A, Goodman, Marc T, Ness, Roberta B, Risch, Harvey A, Rossing, Mary Anne, Terry, Kathryn L, Wentzensen, Nicolas, Whittemore, Alice S, Anton-Culver, Hoda, Bandera, Elisa V, Berchuck, Andrew, Carney, Michael E, Cramer, Daniel W, Cunningham, Julie M, Cushing-Haugen, Kara L, Edwards, Robert P, Fridley, Brooke L, Goode, Ellen L, Lurie, Galina, McGuire, Valerie, Modugno, Francesmary, Moysich, Kirsten B, Olson, Sara H, Pearce, Celeste Leigh, Pike, Malcolm C, Rothstein, Joseph H, Sellers, Thomas A, Sieh, Weiva, Stram, Daniel, Thompson, Pamela J, Vierkant, RobertA, Wicklund, KristineG, Wu, Anna H, Ziogas, Argyrios, Pharoah, Paul D, Tworoger, Shelley S, Schildkraut, Joellen M, and Consortium, Ovarian Canc Assoc
Subjects: Epidemiology, Medical and Health Sciences, Mathematical Sciences
Published: 2017

25. Genetic modifiers of CHEK2*1100delC-associated breast cancer risk

Author: Muranen, Taru A, Greco, Dario, Blomqvist, Carl, Aittomäki, Kristiina, Khan, Sofia, Hogervorst, Frans, Verhoef, Senno, Pharoah, Paul DP, Dunning, Alison M, Shah, Mitul, Luben, Robert, Bojesen, Stig E, Nordestgaard, Børge G, Schoemaker, Minouk, Swerdlow, Anthony, García-Closas, Montserrat, Figueroa, Jonine, Dörk, Thilo, Bogdanova, Natalia V, Hall, Per, Li, Jingmei, Khusnutdinova, Elza, Bermisheva, Marina, Kristensen, Vessela, Borresen-Dale, Anne-Lise, Investigators, NBCS, Peto, Julian, dos Santos Silva, Isabel, Couch, Fergus J, Olson, Janet E, Hillemans, Peter, Park-Simon, Tjoung-Won, Brauch, Hiltrud, Hamann, Ute, Burwinkel, Barbara, Marme, Frederik, Meindl, Alfons, Schmutzler, Rita K, Cox, Angela, Cross, Simon S, Sawyer, Elinor J, Tomlinson, Ian, Lambrechts, Diether, Moisse, Matthieu, Lindblom, Annika, Margolin, Sara, Hollestelle, Antoinette, Martens, John WM, Fasching, Peter A, Beckmann, Matthias W, Andrulis, Irene L, Knight, Julia A, Investigators, kConFab AOCS, Anton-Culver, Hoda, Ziogas, Argyrios, Giles, Graham G, Milne, Roger L, Brenner, Hermann, Arndt, Volker, Mannermaa, Arto, Kosma, Veli-Matti, Chang-Claude, Jenny, Rudolph, Anja, Devilee, Peter, Seynaeve, Caroline, Hopper, John L, Southey, Melissa C, John, Esther M, Whittemore, Alice S, Bolla, Manjeet K, Wang, Qin, Michailidou, Kyriaki, Dennis, Joe, Easton, Douglas F, Schmidt, Marjanka K, and Nevanlinna, Heli
Subjects: Cancer, Prevention, Breast Cancer, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Checkpoint Kinase 2, Female, Genes, Modifier, Genetic Predisposition to Disease, Humans, Odds Ratio, Penetrance, Sequence Deletion, breast cancer, Breast Cancer Association Consortium, CHEK2*1100delC, common variants, polygenic risk score, NBCS Investigators, kConFab/AOCS Investigators, Genetics, Clinical Sciences, Genetics & Heredity
Abstract: PurposeCHEK2*1100delC is a founder variant in European populations that confers a two- to threefold increased risk of breast cancer (BC). Epidemiologic and family studies have suggested that the risk associated with CHEK2*1100delC is modified by other genetic factors in a multiplicative fashion. We have investigated this empirically using data from the Breast Cancer Association Consortium (BCAC).MethodsUsing genotype data from 39,139 (624 1100delC carriers) BC patients and 40,063 (224) healthy controls from 32 BCAC studies, we analyzed the combined risk effects of CHEK2*1100delC and 77 common variants in terms of a polygenic risk score (PRS) and pairwise interaction.ResultsThe PRS conferred odds ratios (OR) of 1.59 (95% CI: 1.21-2.09) per standard deviation for BC for CHEK2*1100delC carriers and 1.58 (1.55-1.62) for noncarriers. No evidence of deviation from the multiplicative model was found. The OR for the highest quintile of the PRS was 2.03 (0.86-4.78) for CHEK2*1100delC carriers, placing them in the high risk category according to UK NICE guidelines. The OR for the lowest quintile was 0.52 (0.16-1.74), indicating a lifetime risk close to the population average.ConclusionOur results confirm the multiplicative nature of risk effects conferred by CHEK2*1100delC and the common susceptibility variants. Furthermore, the PRS could identify carriers at a high lifetime risk for clinical actions.Genet Med advance online publication 06 October 2016.
Published: 2017

26. No Evidence That Genetic Variation in the Myeloid-Derived Suppressor Cell Pathway Influences Ovarian Cancer Survival

Author: Sucheston-Campbell, Lara E, Cannioto, Rikki, Clay, Alyssa I, Etter, John Lewis, Eng, Kevin H, Liu, Song, Battaglia, Sebastiano, Hu, Qiang, Szender, J Brian, Minlikeeva, Albina, Joseph, Janine M, Mayor, Paul, Abrams, Scott I, Segal, Brahm H, Wallace, Paul K, Soh, Kah Teong, Zsiros, Emese, Anton-Culver, Hoda, Bandera, Elisa V, Beckmann, Matthias W, Berchuck, Andrew, Bjorge, Line, Bruegl, Amanda, Campbell, Ian G, Campbell, Shawn Patrice, Chenevix-Trench, Georgia, Study, on behalf of the Australian Ovarian Cancer, Cramer, Daniel W, Dansonka-Mieszkowska, Agnieszka, Dao, Fanny, Diergaarde, Brenda, Doerk, Thilo, Doherty, Jennifer A, du Bois, Andreas, Eccles, Diana, Engelholm, Svend Aage, Fasching, Peter A, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Glasspool, Rosalind M, Goodman, Marc T, Gronwald, Jacek, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hillemmanns, Peter, Høgdall, Claus, Høgdall, Estrid VS, Huzarski, Tomasz, Jensen, Allan, Johnatty, Sharon E, Jung, Audrey, Karlan, Beth Y, Klapdor, Reudiger, Kluz, Tomasz, Konopka, Bożena, Kjær, Susanne Krüger, Kupryjanczyk, Jolanta, Lambrechts, Diether, Lester, Jenny, Lubiński, Jan, Levine, Douglas A, Lundvall, Lene, McGuire, Valerie, McNeish, Iain A, Menon, Usha, Modugno, Francesmary, Ness, Roberta B, Orsulic, Sandra, Paul, James, Pearce, Celeste Leigh, Pejovic, Tanja, Pharoah, Paul, Ramus, Susan J, Rothstein, Joseph, Rossing, Mary Anne, Rübner, Matthias, Schildkraut, Joellen M, Schmalfeldt, Barbara, Schwaab, Ira, Siddiqui, Nadeem, Sieh, Weiva, Sobiczewski, Piotr, Song, Honglin, Terry, Kathryn L, Van Nieuwenhuysen, Els, Vanderstichele, Adriaan, Vergote, Ignace, Walsh, Christine S, Webb, Penelope M, Wentzensen, Nicolas, Whittemore, Alice S, Wu, Anna H, Ziogas, Argyrios, Odunsi, Kunle, Chang-Claude, Jenny, Goode, Ellen L, and Moysich, Kirsten B
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Immunology, Clinical Research, Cancer, Ovarian Cancer, Rare Diseases, Prevention, Genetics, Genetic Testing, 2.1 Biological and endogenous factors, Aetiology, Carcinoma, Ovarian Epithelial, Female, Genetic Association Studies, Genetic Variation, Humans, Myeloid-Derived Suppressor Cells, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Australian Ovarian Cancer Study, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract: Background: The precise mechanism by which the immune system is adversely affected in cancer patients remains poorly understood, but the accumulation of immunosuppressive/protumorigenic myeloid-derived suppressor cells (MDSCs) is thought to be a prominent mechanism contributing to immunologic tolerance of malignant cells in epithelial ovarian cancer (EOC). To this end, we hypothesized genetic variation in MDSC pathway genes would be associated with survival after EOC diagnoses.Methods: We measured the hazard of death due to EOC within 10 years of diagnosis, overall and by invasive subtype, attributable to SNPs in 24 genes relevant in the MDSC pathway in 10,751 women diagnosed with invasive EOC. Versatile Gene-based Association Study and the admixture likelihood method were used to test gene and pathway associations with survival.Results: We did not identify individual SNPs that were significantly associated with survival after correction for multiple testing (P < 3.5 × 10-5), nor did we identify significant associations between the MDSC pathway overall, or the 24 individual genes and EOC survival.Conclusions: In this well-powered analysis, we observed no evidence that inherited variations in MDSC-associated SNPs, individual genes, or the collective genetic pathway contributed to EOC survival outcomes.Impact: Common inherited variation in genes relevant to MDSCs was not associated with survival in women diagnosed with invasive EOC. Cancer Epidemiol Biomarkers Prev; 26(3); 420-4. ©2016 AACR.
Published: 2017

27. Circulating sex hormones in relation to anthropometric, sociodemographic and behavioural factors in an international dataset of 12,300 men

Author: Watts, Eleanor L, Appleby, Paul N, Albanes, Demetrius, Black, Amanda, Chan, June M, Chen, Chu, Cirillo, Piera M, Cohn, Barbara A, Cook, Michael B, Donovan, Jenny L, Ferrucci, Luigi, Garland, Cedric F, Giles, Graham G, Goodman, Phyllis J, Habel, Laurel A, Haiman, Christopher A, Holly, Jeff MP, Hoover, Robert N, Kaaks, Rudolf, Knekt, Paul, Kolonel, Laurence N, Kubo, Tatsuhiko, Le Marchand, Loïc, Luostarinen, Tapio, MacInnis, Robert J, Mäenpää, Hanna O, Männistö, Satu, Metter, E Jeffrey, Milne, Roger L, Nomura, Abraham MY, Oliver, Steven E, Parsons, J Kellogg, Peeters, Petra H, Platz, Elizabeth A, Riboli, Elio, Ricceri, Fulvio, Rinaldi, Sabina, Rissanen, Harri, Sawada, Norie, Schaefer, Catherine A, Schenk, Jeannette M, Stanczyk, Frank Z, Stampfer, Meir, Stattin, Pär, Stenman, Ulf-Håkan, Tjønneland, Anne, Trichopoulou, Antonia, Thompson, Ian M, Tsugane, Shoichiro, Vatten, Lars, Whittemore, Alice S, Ziegler, Regina G, Allen, Naomi E, Key, Timothy J, and Travis, Ruth C
Subjects: Cancer, Aging, Estrogen, Good Health and Well Being, Adult, Anthropometry, Behavior, Datasets as Topic, Gonadal Steroid Hormones, Humans, Male, Social Class, Young Adult, General Science & Technology
Abstract: IntroductionSex hormones have been implicated in the etiology of a number of diseases. To better understand disease etiology and the mechanisms of disease-risk factor associations, this analysis aimed to investigate the associations of anthropometric, sociodemographic and behavioural factors with a range of circulating sex hormones and sex hormone-binding globulin.MethodsStatistical analyses of individual participant data from 12,330 male controls aged 25-85 years from 25 studies involved in the Endogenous Hormones Nutritional Biomarkers and Prostate Cancer Collaborative Group. Analysis of variance was used to estimate geometric means adjusted for study and relevant covariates.ResultsOlder age was associated with higher concentrations of sex hormone-binding globulin and dihydrotestosterone and lower concentrations of dehydroepiandrosterone sulfate, free testosterone, androstenedione, androstanediol glucuronide and free estradiol. Higher body mass index was associated with higher concentrations of free estradiol, androstanediol glucuronide, estradiol and estrone and lower concentrations of dihydrotestosterone, testosterone, sex hormone-binding globulin, free testosterone, androstenedione and dehydroepiandrosterone sulfate. Taller height was associated with lower concentrations of androstenedione, testosterone, free testosterone and sex hormone-binding globulin and higher concentrations of androstanediol glucuronide. Current smoking was associated with higher concentrations of androstenedione, sex hormone-binding globulin and testosterone. Alcohol consumption was associated with higher concentrations of dehydroepiandrosterone sulfate, androstenedione and androstanediol glucuronide. East Asians had lower concentrations of androstanediol glucuronide and African Americans had higher concentrations of estrogens. Education and marital status were modestly associated with a small number of hormones.ConclusionCirculating sex hormones in men are strongly associated with age and body mass index, and to a lesser extent with smoking status and alcohol consumption.
Published: 2017

28. Risk Prediction for Epithelial Ovarian Cancer in 11 United States–Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci

Author: Clyde, Merlise A, Weber, Rachel Palmieri, Iversen, Edwin S, Poole, Elizabeth M, Doherty, Jennifer A, Goodman, Marc T, Ness, Roberta B, Risch, Harvey A, Rossing, Mary Anne, Terry, Kathryn L, Wentzensen, Nicolas, Whittemore, Alice S, Anton-Culver, Hoda, Bandera, Elisa V, Berchuck, Andrew, Carney, Michael E, Cramer, Daniel W, Cunningham, Julie M, Cushing-Haugen, Kara L, Edwards, Robert P, Fridley, Brooke L, Goode, Ellen L, Lurie, Galina, McGuire, Valerie, Modugno, Francesmary, Moysich, Kirsten B, Olson, Sara H, Pearce, Celeste Leigh, Pike, Malcolm C, Rothstein, Joseph H, Sellers, Thomas A, Sieh, Weiva, Stram, Daniel, Thompson, Pamela J, Vierkant, Robert A, Wicklund, Kristine G, Wu, Anna H, Ziogas, Argyrios, Tworoger, Shelley S, and Schildkraut, Joellen M
Subjects: Epidemiology, Health Sciences, Ovarian Cancer, Rare Diseases, Prevention, Cancer, Adult, Aged, Area Under Curve, Carcinoma, Ovarian Epithelial, Case-Control Studies, Female, Genetic Loci, Genetic Predisposition to Disease, Humans, Logistic Models, Middle Aged, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, United States, genetic risk polymorphisms, model evaluation, ovarian cancer, risk model, on behalf of the Ovarian Cancer Association Consortium, Mathematical Sciences, Medical and Health Sciences
Abstract: Previously developed models for predicting absolute risk of invasive epithelial ovarian cancer have included a limited number of risk factors and have had low discriminatory power (area under the receiver operating characteristic curve (AUC) < 0.60). Because of this, we developed and internally validated a relative risk prediction model that incorporates 17 established epidemiologic risk factors and 17 genome-wide significant single nucleotide polymorphisms (SNPs) using data from 11 case-control studies in the United States (5,793 cases; 9,512 controls) from the Ovarian Cancer Association Consortium (data accrued from 1992 to 2010). We developed a hierarchical logistic regression model for predicting case-control status that included imputation of missing data. We randomly divided the data into an 80% training sample and used the remaining 20% for model evaluation. The AUC for the full model was 0.664. A reduced model without SNPs performed similarly (AUC = 0.649). Both models performed better than a baseline model that included age and study site only (AUC = 0.563). The best predictive power was obtained in the full model among women younger than 50 years of age (AUC = 0.714); however, the addition of SNPs increased the AUC the most for women older than 50 years of age (AUC = 0.638 vs. 0.616). Adapting this improved model to estimate absolute risk and evaluating it in prospective data sets is warranted.
Published: 2016

29. Association of vitamin D levels and risk of ovarian cancer: a Mendelian randomization study.

Author: Ong, Jue-Sheng, Cuellar-Partida, Gabriel, Lu, Yi, Australian Ovarian Cancer Study, Fasching, Peter A, Hein, Alexander, Burghaus, Stefanie, Beckmann, Matthias W, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Vanderstichele, Adriaan, Anne Doherty, Jennifer, Anne Rossing, Mary, Chang-Claude, Jenny, Eilber, Ursula, Rudolph, Anja, Wang-Gohrke, Shan, Goodman, Marc T, Bogdanova, Natalia, Dörk, Thilo, Dürst, Matthias, Hillemanns, Peter, Runnebaum, Ingo B, Antonenkova, Natalia, Butzow, Ralf, Leminen, Arto, Nevanlinna, Heli, Pelttari, Liisa M, Edwards, Robert P, Kelley, Joseph L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Cannioto, Rikki, Høgdall, Estrid, Høgdall, Claus K, Jensen, Allan, Giles, Graham G, Bruinsma, Fiona, Kjaer, Susanne K, Hildebrandt, Michelle At, Liang, Dong, Lu, Karen H, Wu, Xifeng, Bisogna, Maria, Dao, Fanny, Levine, Douglas A, Cramer, Daniel W, Terry, Kathryn L, Tworoger, Shelley S, Stampfer, Meir, Missmer, Stacey, Bjorge, Line, Salvesen, Helga B, Kopperud, Reidun K, Bischof, Katharina, Aben, Katja Kh, Kiemeney, Lambertus A, Massuger, Leon Fag, Brooks-Wilson, Angela, Olson, Sara H, McGuire, Valerie, Rothstein, Joseph H, Sieh, Weiva, Whittemore, Alice S, Cook, Linda S, Le, Nhu D, Gilks, C Blake, Gronwald, Jacek, Jakubowska, Anna, Lubiński, Jan, Kluz, Tomasz, Song, Honglin, Tyrer, Jonathan P, Wentzensen, Nicolas, Brinton, Louise, Trabert, Britton, Lissowska, Jolanta, McLaughlin, John R, Narod, Steven A, Phelan, Catherine, Anton-Culver, Hoda, Ziogas, Argyrios, Eccles, Diana, Campbell, Ian, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Menon, Usha, Ramus, Susan J, Wu, Anna H, Dansonka-Mieszkowska, Agnieszka, Kupryjanczyk, Jolanta, Timorek, Agnieszka, Szafron, Lukasz, Cunningham, Julie M, Fridley, Brooke L, Winham, Stacey J, Bandera, Elisa V, and Poole, Elizabeth M
Subjects: Australian Ovarian Cancer Study, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, Vitamin D, Odds Ratio, Risk Factors, Polymorphism, Single Nucleotide, Female, Mendelian Randomization Analysis, Carcinoma, Ovarian Epithelial, Neoplasms, Glandular and Epithelial, Polymorphism, Single Nucleotide, Carcinoma, Ovarian Epithelial, Prevention, Rare Diseases, Nutrition, Clinical Research, Cancer, Ovarian Cancer, Statistics, Public Health and Health Services, Epidemiology
Abstract: BackgroundIn vitro and observational epidemiological studies suggest that vitamin D may play a role in cancer prevention. However, the relationship between vitamin D and ovarian cancer is uncertain, with observational studies generating conflicting findings. A potential limitation of observational studies is inadequate control of confounding. To overcome this problem, we used Mendelian randomization (MR) to evaluate the association between single nucleotide polymorphisms (SNPs) associated with circulating 25-hydroxyvitamin D [25(OH)D] concentration and risk of ovarian cancer.MethodsWe employed SNPs with well-established associations with 25(OH)D concentration as instrumental variables for MR: rs7944926 (DHCR7), rs12794714 (CYP2R1) and rs2282679 (GC). We included 31 719 women of European ancestry (10 065 cases, 21 654 controls) from the Ovarian Cancer Association Consortium, who were genotyped using customized Illumina Infinium iSelect (iCOGS) arrays. A two-sample (summary data) MR approach was used and analyses were performed separately for all ovarian cancer (10 065 cases) and for high-grade serous ovarian cancer (4121 cases).ResultsThe odds ratio for epithelial ovarian cancer risk (10 065 cases) estimated by combining the individual SNP associations using inverse variance weighting was 1.27 (95% confidence interval: 1.06 to 1.51) per 20 nmol/L decrease in 25(OH)D concentration. The estimated odds ratio for high-grade serous epithelial ovarian cancer (4121 cases) was 1.54 (1.19, 2.01).ConclusionsGenetically lowered 25-hydroxyvitamin D concentrations were associated with higher ovarian cancer susceptibility in Europeans. These findings suggest that increasing plasma vitamin D levels may reduce risk of ovarian cancer.
Published: 2016

30. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Kar, Siddhartha P, Beesley, Jonathan, Olama, Ali Amin Al, Michailidou, Kyriaki, Tyrer, Jonathan, Kote-Jarai, ZSofia, Lawrenson, Kate, Lindstrom, Sara, Ramus, Susan J, Thompson, Deborah J, Investigators, ABCTB, Kibel, Adam S, Dansonka-Mieszkowska, Agnieszka, Michael, Agnieszka, Dieffenbach, Aida K, Gentry-Maharaj, Aleksandra, Whittemore, Alice S, Wolk, Alicja, Monteiro, Alvaro, Peixoto, Ana, Kierzek, Andrzej, Cox, Angela, Rudolph, Anja, Gonzalez-Neira, Anna, Wu, Anna H, Lindblom, Annika, Swerdlow, Anthony, Study, AOCS Study Group amp Australian Cancer, BioResource, APCB, Ziogas, Argyrios, Ekici, Arif B, Burwinkel, Barbara, Karlan, Beth Y, Nordestgaard, Børge G, Blomqvist, Carl, Phelan, Catherine, McLean, Catriona, Pearce, Celeste Leigh, Vachon, Celine, Cybulski, Cezary, Slavov, Chavdar, Stegmaier, Christa, Maier, Christiane, Ambrosone, Christine B, Høgdall, Claus K, Teerlink, Craig C, Kang, Daehee, Tessier, Daniel C, Schaid, Daniel J, Stram, Daniel O, Cramer, Daniel W, Neal, David E, Eccles, Diana, Flesch-Janys, Dieter, Edwards, Digna R Velez, Wokozorczyk, Dominika, Levine, Douglas A, Yannoukakos, Drakoulis, Sawyer, Elinor J, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Khusnutdinova, Elza, Høgdall, Estrid, Song, Fengju, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Hamdy, Freddie C, Wiklund, Fredrik, Giles, Graham G, Olsson, Håkan, Wildiers, Hans, Ulmer, Hans-Ulrich, Pandha, Hardev, Risch, Harvey A, Darabi, Hatef, Salvesen, Helga B, Nevanlinna, Heli, Gronberg, Henrik, Brenner, Hermann, Brauch, Hiltrud, Anton-Culver, Hoda, Song, Honglin, Lim, Hui-Yi, McNeish, Iain, Campbell, Ian, Vergote, Ignace, Gronwald, Jacek, Lubiński, Jan, Stanford, Janet L, Benítez, Javier, Doherty, Jennifer A, Permuth, Jennifer B, Chang-Claude, Jenny, Donovan, Jenny L, Dennis, Joe, Schildkraut, Joellen M, Schleutker, Johanna, and Hopper, John L
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Aging, Urologic Diseases, Prostate Cancer, Ovarian Cancer, Rare Diseases, Human Genome, Cancer, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Datasets as Topic, Enhancer Elements, Genetic, Female, Gene Regulatory Networks, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Organ Specificity, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Quantitative Trait Loci, Signal Transduction, ABCTB Investigators, AOCS Study Group & Australian Cancer Study, APCB BioResource, kConFab Investigators, NBCS Investigators, GENICA Network, PRACTICAL consortium, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract: UnlabelledBreast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis.SignificanceWe demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052-67. ©2016 AACR.This article is highlighted in the In This Issue feature, p. 932.
Published: 2016

31. Age- and Tumor Subtype–Specific Breast Cancer Risk Estimates for CHEK2*1100delC Carriers

Author: Schmidt, Marjanka K, Hogervorst, Frans, van Hien, Richard, Cornelissen, Sten, Broeks, Annegien, Adank, Muriel A, Meijers, Hanne, Waisfisz, Quinten, Hollestelle, Antoinette, Schutte, Mieke, van den Ouweland, Ans, Hooning, Maartje, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia N, Antoniou, Antonis C, Arndt, Volker, Bermisheva, Marina, Bogdanova, Natalia V, Bolla, Manjeet K, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Burwinkel, Barbara, Chang-Claude, Jenny, Chenevix-Trench, Georgia, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Dunning, Alison M, Fasching, Peter A, Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Galle, Eva, García-Closas, Montserrat, Giles, Graham G, Haeberle, Lothar, Hall, Per, Hillemanns, Peter, Hopper, John L, Jakubowska, Anna, John, Esther M, Jones, Michael, Khusnutdinova, Elza, Knight, Julia A, Kosma, Veli-Matti, Kristensen, Vessela, Lee, Andrew, Lindblom, Annika, Lubinski, Jan, Mannermaa, Arto, Margolin, Sara, Meindl, Alfons, Milne, Roger L, Muranen, Taru A, Newcomb, Polly A, Offit, Kenneth, Park-Simon, Tjoung-Won, Peto, Julian, Pharoah, Paul DP, Robson, Mark, Rudolph, Anja, Sawyer, Elinor J, Schmutzler, Rita K, Seynaeve, Caroline, Soens, Julie, Southey, Melissa C, Spurdle, Amanda B, Surowy, Harald, Swerdlow, Anthony, Tollenaar, Rob AEM, Tomlinson, Ian, Trentham-Dietz, Amy, Vachon, Celine, Wang, Qin, Whittemore, Alice S, Ziogas, Argyrios, van der Kolk, Lizet, Nevanlinna, Heli, Dörk, Thilo, Bojesen, Stig, and Easton, Douglas F
Subjects: Clinical Research, Genetics, Cancer, Breast Cancer, Aetiology, 2.1 Biological and endogenous factors, Adult, Age Factors, Aged, Aged, 80 and over, Breast Neoplasms, Case-Control Studies, Checkpoint Kinase 2, Female, Genetic Predisposition to Disease, Heterozygote, Homozygote, Humans, Middle Aged, Odds Ratio, Receptors, Estrogen, Receptors, Progesterone, Risk Assessment, Sequence Deletion, Clinical Sciences, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: PurposeCHEK2*1100delC is a well-established breast cancer risk variant that is most prevalent in European populations; however, there are limited data on risk of breast cancer by age and tumor subtype, which limits its usefulness in breast cancer risk prediction. We aimed to generate tumor subtype- and age-specific risk estimates by using data from the Breast Cancer Association Consortium, including 44,777 patients with breast cancer and 42,997 controls from 33 studies genotyped for CHEK2*1100delC.Patients and methodsCHEK2*1100delC genotyping was mostly done by a custom Taqman assay. Breast cancer odds ratios (ORs) for CHEK2*1100delC carriers versus noncarriers were estimated by using logistic regression and adjusted for study (categorical) and age. Main analyses included patients with invasive breast cancer from population- and hospital-based studies.ResultsProportions of heterozygous CHEK2*1100delC carriers in controls, in patients with breast cancer from population- and hospital-based studies, and in patients with breast cancer from familial- and clinical genetics center-based studies were 0.5%, 1.3%, and 3.0%, respectively. The estimated OR for invasive breast cancer was 2.26 (95%CI, 1.90 to 2.69; P = 2.3 × 10(-20)). The OR was higher for estrogen receptor (ER)-positive disease (2.55 [95%CI, 2.10 to 3.10; P = 4.9 × 10(-21)]) than it was for ER-negative disease (1.32 [95%CI, 0.93 to 1.88; P = .12]; P interaction = 9.9 × 10(-4)). The OR significantly declined with attained age for breast cancer overall (P = .001) and for ER-positive tumors (P = .001). Estimated cumulative risks for development of ER-positive and ER-negative tumors by age 80 in CHEK2*1100delC carriers were 20% and 3%, respectively, compared with 9% and 2%, respectively, in the general population of the United Kingdom.ConclusionThese CHEK2*1100delC breast cancer risk estimates provide a basis for incorporating CHEK2*1100delC into breast cancer risk prediction models and into guidelines for intensified screening and follow-up.
Published: 2016

32. Assessing the genetic architecture of epithelial ovarian cancer histological subtypes

Author: Cuellar-Partida, Gabriel, Lu, Yi, Dixon, Suzanne C, Australian Ovarian Cancer Study, Fasching, Peter A, Hein, Alexander, Burghaus, Stefanie, Beckmann, Matthias W, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Vanderstichele, Adriaan, Doherty, Jennifer Anne, Rossing, Mary Anne, Chang-Claude, Jenny, Rudolph, Anja, Wang-Gohrke, Shan, Goodman, Marc T, Bogdanova, Natalia, Dörk, Thilo, Dürst, Matthias, Hillemanns, Peter, Runnebaum, Ingo B, Antonenkova, Natalia, Butzow, Ralf, Leminen, Arto, Nevanlinna, Heli, Pelttari, Liisa M, Edwards, Robert P, Kelley, Joseph L, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Cannioto, Rikki, Høgdall, Estrid, Høgdall, Claus, Jensen, Allan, Giles, Graham G, Bruinsma, Fiona, Kjaer, Susanne K, Hildebrandt, Michelle AT, Liang, Dong, Lu, Karen H, Wu, Xifeng, Bisogna, Maria, Dao, Fanny, Levine, Douglas A, Cramer, Daniel W, Terry, Kathryn L, Tworoger, Shelley S, Stampfer, Meir, Missmer, Stacey, Bjorge, Line, Salvesen, Helga B, Kopperud, Reidun K, Bischof, Katharina, Aben, Katja KH, Kiemeney, Lambertus A, Massuger, Leon FAG, Brooks-Wilson, Angela, Olson, Sara H, McGuire, Valerie, Rothstein, Joseph H, Sieh, Weiva, Whittemore, Alice S, Cook, Linda S, Le, Nhu D, Blake Gilks, C, Gronwald, Jacek, Jakubowska, Anna, Lubiński, Jan, Kluz, Tomasz, Song, Honglin, Tyrer, Jonathan P, Wentzensen, Nicolas, Brinton, Louise, Trabert, Britton, Lissowska, Jolanta, McLaughlin, John R, Narod, Steven A, Phelan, Catherine, Anton-Culver, Hoda, Ziogas, Argyrios, Eccles, Diana, Campbell, Ian, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Menon, Usha, Ramus, Susan J, Wu, Anna H, Dansonka-Mieszkowska, Agnieszka, Kupryjanczyk, Jolanta, Timorek, Agnieszka, Szafron, Lukasz, Cunningham, Julie M, Fridley, Brooke L, Winham, Stacey J, Bandera, Elisa V, Poole, Elizabeth M, and Morgan, Terry K
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Obesity, Women's Health, Cancer Genomics, Ovarian Cancer, Cancer, Human Genome, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, Carcinoma, Ovarian Epithelial, Female, Genotype, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Pathology, Molecular, Polymorphism, Single Nucleotide, Australian Ovarian Cancer Study, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract: Epithelial ovarian cancer (EOC) is one of the deadliest common cancers. The five most common types of disease are high-grade and low-grade serous, endometrioid, mucinous and clear cell carcinoma. Each of these subtypes present distinct molecular pathogeneses and sensitivities to treatments. Recent studies show that certain genetic variants confer susceptibility to all subtypes while other variants are subtype-specific. Here, we perform an extensive analysis of the genetic architecture of EOC subtypes. To this end, we used data of 10,014 invasive EOC patients and 21,233 controls from the Ovarian Cancer Association Consortium genotyped in the iCOGS array (211,155 SNPs). We estimate the array heritability (attributable to variants tagged on arrays) of each subtype and their genetic correlations. We also look for genetic overlaps with factors such as obesity, smoking behaviors, diabetes, age at menarche and height. We estimated the array heritabilities of high-grade serous disease ([Formula: see text] = 8.8 ± 1.1 %), endometrioid ([Formula: see text] = 3.2 ± 1.6 %), clear cell ([Formula: see text] = 6.7 ± 3.3 %) and all EOC ([Formula: see text] = 5.6 ± 0.6 %). Known associated loci contributed approximately 40 % of the total array heritability for each subtype. The contribution of each chromosome to the total heritability was not proportional to chromosome size. Through bivariate and cross-trait LD score regression, we found evidence of shared genetic backgrounds between the three high-grade subtypes: serous, endometrioid and undifferentiated. Finally, we found significant genetic correlations of all EOC with diabetes and obesity using a polygenic prediction approach.
Published: 2016

33. The LEGACY Girls Study

Author: John, Esther M, Terry, Mary Beth, Keegan, Theresa HM, Bradbury, Angela R, Knight, Julia A, Chung, Wendy K, Frost, Caren J, Lilge, Lothar, Patrick-Miller, Linda, Schwartz, Lisa A, Whittemore, Alice S, Buys, Saundra S, Daly, Mary B, and Andrulis, Irene L
Subjects: Health Services and Systems, Health Sciences, Clinical Trials and Supportive Activities, Breast Cancer, Prevention, Pediatric, Clinical Research, Cancer, Behavioral and Social Science, Good Health and Well Being, Adolescent, Anthropometry, Breast, Breast Neoplasms, Canada, Child, Child Development, Cohort Studies, Female, Health Behavior, Humans, Medical History Taking, Menarche, Optical Imaging, Pilot Projects, Prospective Studies, Puberty, Risk Factors, Sexual Maturation, Spectrum Analysis, Surveys and Questionnaires, United States, Statistics, Public Health and Health Services, Epidemiology, Public health
Abstract: BackgroundAlthough the timing of pubertal milestones has been associated with breast cancer risk, few studies of girls' development include girls at increased breast cancer risk due to their family history.MethodsThe Lessons in Epidemiology and Genetics of Adult Cancer from Youth (LEGACY) Girls Study was initiated in 2011 in the USA and Canada to assess the relation between early life exposures and intermediate markers of breast cancer risk (e.g., pubertal development, breast tissue characteristics) and to investigate psychosocial well being and health behaviors in the context of family history. We describe the methods used to establish and follow a cohort of 1,040 girls ages 6-13 years at baseline, half with a breast cancer family history, and the collection of questionnaire data (family history, early life exposures, growth and development, psychosocial and behavioral), anthropometry, biospecimens, and breast tissue characteristics using optical spectroscopy.ResultsDuring this initial 5-year phase of the study, follow-up visits are conducted every 6 months for repeated data and biospecimen collection. Participation in baseline components was high (98% for urine, 97.5% for blood or saliva, and 98% for anthropometry). At enrollment, 77% of girls were premenarcheal and 49% were at breast Tanner stage T1.ConclusionsThis study design allows thorough examination of events affecting girls' growth and development and how they differ across the spectrum of breast cancer risk. A better understanding of early life breast cancer risk factors will be essential to enhance prevention across the lifespan for those with and without a family history of the disease.
Published: 2016

34. Assessment of Multifactor Gene–Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors

Author: Usset, Joseph L, Raghavan, Rama, Tyrer, Jonathan P, McGuire, Valerie, Sieh, Weiva, Webb, Penelope, Chang-Claude, Jenny, Rudolph, Anja, Anton-Culver, Hoda, Berchuck, Andrew, Brinton, Louise, Cunningham, Julie M, DeFazio, Anna, Doherty, Jennifer A, Edwards, Robert P, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Goodman, Marc T, Høgdall, Estrid, Jensen, Allan, Johnatty, Sharon E, Kiemeney, Lambertus A, Kjaer, Susanne K, Larson, Melissa C, Lurie, Galina, Massuger, Leon, Menon, Usha, Modugno, Francesmary, Moysich, Kirsten B, Ness, Roberta B, Pike, Malcolm C, Ramus, Susan J, Rossing, Mary Anne, Rothstein, Joseph, Song, Honglin, Thompson, Pamela J, van den Berg, David J, Vierkant, Robert A, Wang-Gohrke, Shan, Wentzensen, Nicolas, Whittemore, Alice S, Wilkens, Lynne R, Wu, Anna H, Yang, Hannah, Pearce, Celeste Leigh, Schildkraut, Joellen M, Pharoah, Paul, Goode, Ellen L, and Fridley, Brooke L
Subjects: Epidemiology, Reproductive Medicine, Biomedical and Clinical Sciences, Health Sciences, Prevention, Genetics, Contraception/Reproduction, Obesity, Estrogen, Ovarian Cancer, Nutrition, Rare Diseases, Cancer, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Female, Gene-Environment Interaction, Humans, Middle Aged, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Risk Factors, Ovarian Cancer Association Consortium and the Australian Cancer Study, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract: BackgroundMany epithelial ovarian cancer (EOC) risk factors relate to hormone exposure and elevated estrogen levels are associated with obesity in postmenopausal women. Therefore, we hypothesized that gene-environment interactions related to hormone-related risk factors could differ between obese and non-obese women.MethodsWe considered interactions between 11,441 SNPs within 80 candidate genes related to hormone biosynthesis and metabolism and insulin-like growth factors with six hormone-related factors (oral contraceptive use, parity, endometriosis, tubal ligation, hormone replacement therapy, and estrogen use) and assessed whether these interactions differed between obese and non-obese women. Interactions were assessed using logistic regression models and data from 14 case-control studies (6,247 cases; 10,379 controls). Histotype-specific analyses were also completed.ResultsSNPs in the following candidate genes showed notable interaction: IGF1R (rs41497346, estrogen plus progesterone hormone therapy, histology = all, P = 4.9 × 10(-6)) and ESR1 (rs12661437, endometriosis, histology = all, P = 1.5 × 10(-5)). The most notable obesity-gene-hormone risk factor interaction was within INSR (rs113759408, parity, histology = endometrioid, P = 8.8 × 10(-6)).ConclusionsWe have demonstrated the feasibility of assessing multifactor interactions in large genetic epidemiology studies. Follow-up studies are necessary to assess the robustness of our findings for ESR1, CYP11A1, IGF1R, CYP11B1, INSR, and IGFBP2 Future work is needed to develop powerful statistical methods able to detect these complex interactions.ImpactAssessment of multifactor interaction is feasible, and, here, suggests that the relationship between genetic variants within candidate genes and hormone-related risk factors may vary EOC susceptibility. Cancer Epidemiol Biomarkers Prev; 25(5); 780-90. ©2016 AACR.
Published: 2016

35. The association between socioeconomic status and tumour stage at diagnosis of ovarian cancer: A pooled analysis of 18 case-control studies

Author: Præstegaard, Camilla, Kjaer, Susanne K, Nielsen, Thor SS, Jensen, Signe M, Webb, Penelope M, Nagle, Christina M, Høgdall, Estrid, Risch, Harvey A, Rossing, Mary Anne, Doherty, Jennifer A, Wicklund, Kristine G, Goodman, Marc T, Modugno, Francesmary, Moysich, Kirsten, Ness, Roberta B, Edwards, Robert P, Goode, Ellen L, Winham, Stacey J, Fridley, Brooke L, Cramer, Daniel W, Terry, Kathryn L, Schildkraut, Joellen M, Berchuck, Andrew, Bandera, Elisa V, Paddock, Lisa, Kiemeney, Lambertus A, Massuger, Leon F, Wentzensen, Nicolas, Pharoah, Paul, Song, Honglin, Whittemore, Alice S, McGuire, Valerie, Sieh, Weiva, Rothstein, Joseph, Anton-Culver, Hoda, Ziogas, Argyrios, Menon, Usha, Gayther, Simon A, Ramus, Susan J, Gentry-Maharaj, Aleksandra, Wu, Anna H, Pearce, Celeste L, Pike, Malcolm C, Lee, Alice W, Chang-Claude, Jenny, Jensen, Allan, and Consortium, Ovarian Cancer Association
Subjects: Biomedical and Clinical Sciences, Epidemiology, Health Services and Systems, Health Sciences, Oncology and Carcinogenesis, Cancer, Ovarian Cancer, Tobacco Smoke and Health, Rare Diseases, Tobacco, Prevention, Aged, Carcinoma, Ovarian Epithelial, Case-Control Studies, Delayed Diagnosis, Female, Humans, Logistic Models, Middle Aged, Neoplasms, Glandular and Epithelial, Odds Ratio, Ovarian Neoplasms, Social Class, Ovarian cancer, Pooled analysis, Socioeconomic status, Tumour stage, Ovarian Cancer Association Consortium, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: PurposeSocioeconomic status (SES) is a known predictor of survival for several cancers and it has been suggested that SES differences affecting tumour stage at diagnosis may be the most important explanatory factor for this. However, only a limited number of studies have investigated SES differences in tumour stage at diagnosis of ovarian cancer. In a pooled analysis, we investigated whether SES as represented by level of education is predictive for advanced tumour stage at diagnosis of ovarian cancer, overall and by histotype. The effect of cigarette smoking and body mass index (BMI) on the association was also evaluated.MethodsFrom 18 case-control studies, we obtained information on 10,601 women diagnosed with epithelial ovarian cancer. Study specific odds ratios (ORs) with corresponding 95% confidence intervals (CI) were obtained from logistic regression models and combined into a pooled odds ratio (pOR) using a random effects model.ResultsOverall, women who completed ≤high school had an increased risk of advanced tumour stage at diagnosis compared with women who completed >high school (pOR 1.15; 95% CI 1.03-1.28). The risk estimates for the different histotypes of ovarian cancer resembled that observed for ovarian cancers combined but did not reach statistical significance. Our results were unchanged when we included BMI and cigarette smoking.ConclusionLower level of education was associated with an increased risk of advanced tumour stage at diagnosis of ovarian cancer. The observed socioeconomic difference in stage at diagnosis of ovarian cancer calls for further studies on how to reduce this diagnostic delay.
Published: 2016

36. PPM1D Mosaic Truncating Variants in Ovarian Cancer Cases May Be Treatment-Related Somatic Mutations

Author: Pharoah, Paul DP, Song, Honglin, Dicks, Ed, Intermaggio, Maria P, Harrington, Patricia, Baynes, Caroline, Alsop, Kathryn, Group, Australian Ovarian Cancer Study, Bogdanova, Natalia, Cicek, Mine S, Cunningham, Julie M, Fridley, Brooke L, Gentry-Maharaj, Aleksandra, Hillemanns, Peter, Lele, Shashi, Lester, Jenny, McGuire, Valerie, Moysich, Kirsten B, Poblete, Samantha, Sieh, Weiva, Sucheston-Campbell, Lara, Widschwendter, Martin, Consortium, Ovarian Cancer Association, Whittemore, Alice S, Dörk, Thilo, Menon, Usha, Odunsi, Kunle, Goode, Ellen L, Karlan, Beth Y, Bowtell, David D, Gayther, Simon A, and Ramus, Susan J
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Genetics, Ovarian Cancer, Human Genome, Rare Diseases, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, Antineoplastic Agents, Case-Control Studies, Female, Gene Frequency, Genetic Predisposition to Disease, High-Throughput Nucleotide Sequencing, Humans, Middle Aged, Mosaicism, Mutation, Ovarian Neoplasms, Phosphoprotein Phosphatases, Polymerase Chain Reaction, Protein Phosphatase 2C, Australian Ovarian Cancer Study Group, Ovarian Cancer Association Consortium, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: Mosaic truncating mutations in the protein phosphatase, Mg(2+)/Mn(2+)-dependent, 1D (PPM1D) gene have recently been reported with a statistically significantly greater frequency in lymphocyte DNA from ovarian cancer case patients compared with unaffected control patients. Using massively parallel sequencing (MPS) we identified truncating PPM1D mutations in 12 of 3236 epithelial ovarian cancer (EOC) case patients (0.37%) but in only one of 3431 unaffected control patients (0.03%) (P = .001). All statistical tests were two-sided. A combination of Sanger sequencing, pyrosequencing, and MPS data suggested that 12 of the 13 mutations were mosaic. All mutations were identified in post-chemotherapy treatment blood samples from case patients (n = 1827) (average 1234 days post-treatment in carriers) rather than from cases collected pretreatment (less than 14 days after diagnosis, n = 1384) (P = .002). These data suggest that PPM1D variants in EOC cases are primarily somatic mosaic mutations caused by treatment and are not associated with germline predisposition to EOC.
Published: 2016

37. Evidence of a genetic link between endometriosis and ovarian cancer

Author: Lee, Alice W, Templeman, Claire, Stram, Douglas A, Beesley, Jonathan, Tyrer, Jonathan, Berchuck, Andrew, Pharoah, Paul P, Chenevix-Trench, Georgia, Pearce, Celeste Leigh, Consortium, Ovarian Cancer Association, Ness, Roberta B, Dansonka-Mieszkowska, Agnieszka, Gentry-Maharaj, Aleksandra, Hein, Alexander, Whittemore, Alice S, Jensen, Allan, du Bois, Andreas, Brooks-Wilson, Angela, Rudolph, Anja, Jakubowska, Anna, Wu, Anna H, Ziogas, Argyrios, Ekici, Arif B, Leminen, Arto, Study, Australian Cancer, Group, Australian Ovarian Cancer Study, Rosen, Barry, Spiewankiewicz, Beata, Karlan, Beth Y, Trabert, Britton, Fridley, Brooke L, Gilks, C Blake, Krakstad, Camilla, Phelan, Catherine M, Cybulski, Cezary, Walsh, Christine, Hogdall, Claus, Cramer, Daniel W, Huntsman, David G, Eccles, Diana, Lambrechts, Diether, Liang, Dong, Levine, Douglas A, Iversen, Edwin S, Bandera, Elisa V, Poole, Elizabeth M, Goode, Ellen L, Van Nieuwenhuysen, Els, Hogdall, Estrid, Bruinsma, Fiona, Heitz, Florian, Modugno, Francesmary, Giles, Graham G, Risch, Harvey A, Baker, Helen, Salvesen, Helga B, Nevanlinna, Heli, Anton-Culver, Hoda, Song, Honglin, McNeish, Iain, Campbell, Ian G, Vergote, Ignace, Runnebaum, Ingo B, Tangen, Ingvild L, Schwaab, Ira, Gronwald, Jacek, Paul, James, Lubinski, Jan, Doherty, Jennifer A, Chang-Claude, Jenny, Lester, Jenny, Schildkraut, Joellen M, McLaughlin, John R, Lissowska, Jolanta, Kupryjanczyk, Jolanta, Kelley, Joseph L, Rothstein, Joseph H, Cunningham, Julie M, Lu, Karen, Carty, Karen, Terry, Kathryn L, Aben, Katja KH, Moysich, Kirsten B, Wicklund, Kristine G, Odunsi, Kunle, Kiemeney, Lambertus A, Sucheston-Campbell, Lara, Lundvall, Lene, Massuger, Leon FAG, Pelttari, Liisa M, Kelemen, Linda E, Cook, Linda S, Bjorge, Line, Nedergaard, Lotte, Brinton, Louise A, Wilkens, Lynne R, Pike, Malcolm C, Goodman, Marc T, and Bisogna, Maria
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Cancer, Rare Diseases, Ovarian Cancer, Genetics, Genetic Testing, Clinical Research, Endometriosis, 2.1 Biological and endogenous factors, Aetiology, Case-Control Studies, Computational Biology, Databases, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Neoplasm Grading, Ovarian Neoplasms, Phenotype, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Ovarian Cancer Association Consortium, SNPs, genetic variation, ovarian cancer, Clinical Sciences, Paediatrics and Reproductive Medicine, Public Health and Health Services, Obstetrics & Reproductive Medicine, Reproductive medicine
Abstract: ObjectiveTo evaluate whether endometriosis-associated genetic variation affects risk of ovarian cancer.DesignPooled genetic analysis.SettingUniversity hospital.Patient(s)Genetic data from 46,176 participants (15,361 ovarian cancer cases and 30,815 controls) from 41 ovarian cancer studies.Intervention(s)None.Main outcome measure(s)Endometriosis-associated genetic variation and ovarian cancer.Result(s)There was significant evidence of an association between endometriosis-related genetic variation and ovarian cancer risk, especially for the high-grade serous and clear cell histotypes. Overall we observed 15 significant burden statistics, which was three times more than expected.Conclusion(s)By focusing on candidate regions from a phenotype associated with ovarian cancer, we have shown a clear genetic link between endometriosis and ovarian cancer that warrants further follow-up. The functional significance of the identified regions and SNPs is presently uncertain, though future fine mapping and histotype-specific functional analyses may shed light on the etiologies of both gynecologic conditions.
Published: 2016

38. Common variants at 19p13 are associated with susceptibility to ovarian cancer (vol 42, pg 880, 2010)

Author: Bolton, Kelly L, Tyrer, Jonathan, Song, Honglin, Ramus, Susan J, Notaridou, Maria, Jones, Chris, Sher, Tanya, Gentry-Maharaj, Aleksandra, Wozniak, Eva, Tsai, Ya-Yu, Weidhaas, Joanne, Paik, Daniel, Van den Berg, David J, Stram, Daniel O, Pearce, Celeste Leigh, Wu, Anna H, Brewster, Wendy, Anton-Culver, Hoda, Ziogas, Argyrios, Narod, Steven A, Levine, Douglas A, Kaye, Stanley B, Brown, Robert, Paul, Jim, Flanagan, James, Sieh, Weiva, McGuire, Valerie, Whittemore, Alice S, Campbell, Ian, Gore, Martin E, Lissowska, Jolanta, Yang, Hanna P, Medrek, Krzysztof, Gronwald, Jacek, Lubinski, Jan, Jakubowska, Anna, Le, Nhu D, Cook, Linda S, Kelemen, Linda E, Brooks-Wilson, Angela, Massuger, Leon FAG, Kiemeney, Lambertus A, Aben, Katja KH, van Altena, Anne M, Houlston, Richard, Tomlinson, Ian, Palmieri, Rachel T, Moorman, Patricia G, Schildkraut, Joellen, Iversen, Edwin S, Phelan, Catherine, Vierkant, Robert A, Cunningham, Julie M, Goode, Ellen L, Fridley, Brooke L, Kruger-Kjaer, Susan, Blaeker, Jan, Hogdall, Estrid, Hogdall, Claus, Gross, Jenny, Karlan, Beth Y, Ness, Roberta B, Edwards, Robert P, Odunsi, Kunle, Moyisch, Kirsten B, Baker, Julie A, Modugno, Francesmary, Heikkinenen, Tuomas, Butzow, Ralf, Nevanlinna, Heli, Leminen, Arto, Bogdanova, Natalia, Antonenkova, Natalia, Doerk, Thilo, Hillemanns, Peter, Duerst, Matthias, Runnebaum, Ingo, Thompson, Pamela J, Carney, Michael E, Goodman, Marc T, Lurie, Galina, Wang-Gohrke, Shan, Hein, Rebecca, Chang-Claude, Jenny, Rossing, Mary Anne, Cushing-Haugen, Kara L, Doherty, Jennifer, Chen, Chu, Rafnar, Thorunn, Besenbacher, Soren, Sulem, Patrick, Stefansson, Kari, Birrer, Michael J, Terry, Kathryn L, Hernandez, Dena, Cramer, Daniel W, Vergote, Ignace, Amant, Frederic, Lambrechts, Diether, and Despierre, Evelyn
Subjects: Developmental Biology, Biological Sciences, Medical and Health Sciences
Published: 2016

39. Corrigendum: Common variants at 19p13 are associated with susceptibility to ovarian cancer.

Author: Bolton, Kelly L, Tyrer, Jonathan, Song, Honglin, Ramus, Susan J, Notaridou, Maria, Jones, Chris, Sher, Tanya, Gentry-Maharaj, Aleksandra, Wozniak, Eva, Tsai, Ya-Yu, Weidhaas, Joanne, Paik, Daniel, Van Den Berg, David J, Stram, Daniel O, Pearce, Celeste Leigh, Wu, Anna H, Brewster, Wendy, Anton-Culver, Hoda, Ziogas, Argyrios, Narod, Steven A, Levine, Douglas A, Kaye, Stanley B, Brown, Robert, Paul, Jim, Flanagan, James, Sieh, Weiva, McGuire, Valerie, Whittemore, Alice S, Campbell, Ian, Gore, Martin E, Lissowska, Jolanta, Yang, Hanna P, Medrek, Krzysztof, Gronwald, Jacek, Lubinski, Jan, Jakubowska, Anna, Le, Nhu D, Cook, Linda S, Kelemen, Linda E, Brooks-Wilson, Angela, Massuger, Leon FAG, Kiemeney, Lambertus A, Aben, Katja KH, van Altena, Anne M, Houlston, Richard, Tomlinson, Ian, Palmieri, Rachel T, Moorman, Patricia G, Schildkraut, Joellen, Iversen, Edwin S, Phelan, Catherine, Vierkant, Robert A, Cunningham, Julie M, Goode, Ellen L, Fridley, Brooke L, Kruger-Kjaer, Susan, Blaeker, Jan, Hogdall, Estrid, Hogdall, Claus, Gross, Jenny, Karlan, Beth Y, Ness, Roberta B, Edwards, Robert P, Odunsi, Kunle, Moyisch, Kirsten B, Baker, Julie A, Modugno, Francesmary, Heikkinenen, Tuomas, Butzow, Ralf, Nevanlinna, Heli, Leminen, Arto, Bogdanova, Natalia, Antonenkova, Natalia, Doerk, Thilo, Hillemanns, Peter, Dürst, Matthias, Runnebaum, Ingo, Thompson, Pamela J, Carney, Michael E, Goodman, Marc T, Lurie, Galina, Wang-Gohrke, Shan, Hein, Rebecca, Chang-Claude, Jenny, Rossing, Mary Anne, Cushing-Haugen, Kara L, Doherty, Jennifer, Chen, Chu, Rafnar, Thorunn, Besenbacher, Soren, Sulem, Patrick, Stefansson, Kari, Birrer, Michael J, Terry, Kathryn L, Hernandez, Dena, Cramer, Daniel W, Vergote, Ignace, Amant, Frederic, Lambrechts, Diether, and Despierre, Evelyn
Subjects: Australian Ovarian Cancer Study Group, Rare Diseases, Cancer, Ovarian Cancer, Biological Sciences, Medical and Health Sciences, Developmental Biology
Published: 2016

40. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author: Dareng, Eileen O., Tyrer, Jonathan P., Barnes, Daniel R., Jones, Michelle R., Yang, Xin, Aben, Katja K. H., Adank, Muriel A., Agata, Simona, Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Aravantinos, Gerasimos, Arun, Banu K., Augustinsson, Annelie, Balmaña, Judith, Bandera, Elisa V., Barkardottir, Rosa B., Barrowdale, Daniel, Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q., Bjorge, Line, Black, Amanda, Bogdanova, Natalia V., Bonanni, Bernardo, Borg, Ake, Brenton, James D., Budzilowska, Agnieszka, Butzow, Ralf, Buys, Saundra S., Cai, Hui, Caligo, Maria A., Campbell, Ian, Cannioto, Rikki, Cassingham, Hayley, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Kexin, Chiew, Yoke-Eng, Chung, Wendy K., Claes, Kathleen B. M., Colonna, Sarah, Cook, Linda S., Couch, Fergus J., Daly, Mary B., Dao, Fanny, Davies, Eleanor, de la Hoya, Miguel, de Putter, Robin, Dennis, Joe, DePersia, Allison, Devilee, Peter, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer A., Domchek, Susan M., Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M., Eliassen, Heather A., Engel, Christoph, Evans, Gareth D., Fasching, Peter A., Flanagan, James M., Fortner, Renée T., Machackova, Eva, Friedman, Eitan, Ganz, Patricia A., Garber, Judy, Gensini, Francesca, Giles, Graham G., Glendon, Gord, Godwin, Andrew K., Goodman, Marc T., Greene, Mark H., Gronwald, Jacek, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hamann, Ute, Hansen, Thomas V. O., Harris, Holly R., Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle A. T., Høgdall, Estrid, Høgdall, Claus K., Hopper, John L., Huang, Ruea-Yea, Huff, Chad, Hulick, Peter J., Huntsman, David G., Imyanitov, Evgeny N., Isaacs, Claudine, Jakubowska, Anna, James, Paul A., Janavicius, Ramunas, Jensen, Allan, Johannsson, Oskar Th., John, Esther M., Jones, Michael E., Kang, Daehee, Karlan, Beth Y., Karnezis, Anthony, Kelemen, Linda E., Khusnutdinova, Elza, Kiemeney, Lambertus A., Kim, Byoung-Gie, Kjaer, Susanne K., Komenaka, Ian, Kupryjanczyk, Jolanta, Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Melissa C., Lazaro, Conxi, Le, Nhu D., Leslie, Goska, Lester, Jenny, Lesueur, Fabienne, Levine, Douglas A., Li, Lian, Li, Jingmei, Loud, Jennifer T., Lu, Karen H., Lubiński, Jan, Mai, Phuong L., Manoukian, Siranoush, Marks, Jeffrey R., Matsuno, Rayna Kim, Matsuo, Keitaro, May, Taymaa, McGuffog, Lesley, McLaughlin, John R., McNeish, Iain A., Mebirouk, Noura, Menon, Usha, Miller, Austin, Milne, Roger L., Minlikeeva, Albina, Modugno, Francesmary, Montagna, Marco, Moysich, Kirsten B., Munro, Elizabeth, Nathanson, Katherine L., Neuhausen, Susan L., Nevanlinna, Heli, Yie, Joanne Ngeow Yuen, Nielsen, Henriette Roed, Nielsen, Finn C., Nikitina-Zake, Liene, Odunsi, Kunle, Offit, Kenneth, Olah, Edith, Olbrecht, Siel, Olopade, Olufunmilayo I., Olson, Sara H., Olsson, Håkan, Osorio, Ana, Papi, Laura, Park, Sue K., Parsons, Michael T., Pathak, Harsha, Pedersen, Inge Sokilde, Peixoto, Ana, Pejovic, Tanja, Perez-Segura, Pedro, Permuth, Jennifer B., Peshkin, Beth, Peterlongo, Paolo, Piskorz, Anna, Prokofyeva, Darya, Radice, Paolo, Rantala, Johanna, Riggan, Marjorie J., Risch, Harvey A., Rodriguez-Antona, Cristina, Ross, Eric, Rossing, Mary Anne, Runnebaum, Ingo, Sandler, Dale P., Santamariña, Marta, Soucy, Penny, Schmutzler, Rita K., Setiawan, V. Wendy, Shan, Kang, Sieh, Weiva, Simard, Jacques, Singer, Christian F., Sokolenko, Anna P., Song, Honglin, Southey, Melissa C., Steed, Helen, Stoppa-Lyonnet, Dominique, Sutphen, Rebecca, Swerdlow, Anthony J., Tan, Yen Yen, Teixeira, Manuel R., Teo, Soo Hwang, Terry, Kathryn L., Terry, Mary Beth, Thomassen, Mads, Thompson, Pamela J., Thomsen, Liv Cecilie Vestrheim, Thull, Darcy L., Tischkowitz, Marc, Titus, Linda, Toland, Amanda E., Torres, Diana, Trabert, Britton, Travis, Ruth, Tung, Nadine, Tworoger, Shelley S., Valen, Ellen, van Altena, Anne M., van der Hout, Annemieke H., Van Nieuwenhuysen, Els, van Rensburg, Elizabeth J., Vega, Ana, Edwards, Digna Velez, Vierkant, Robert A., Wang, Frances, Wappenschmidt, Barbara, Webb, Penelope M., Weinberg, Clarice R., Weitzel, Jeffrey N., Wentzensen, Nicolas, White, Emily, Whittemore, Alice S., Winham, Stacey J., Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H., Yan, Li, Yannoukakos, Drakoulis, Zavaglia, Katia M., Zheng, Wei, Ziogas, Argyrios, Zorn, Kristin K., Kleibl, Zdenek, Easton, Douglas, Lawrenson, Kate, DeFazio, Anna, Sellers, Thomas A., Ramus, Susan J., Pearce, Celeste L., Monteiro, Alvaro N., Cunningham, Julie, Goode, Ellen L., Schildkraut, Joellen M., Berchuck, Andrew, Chenevix-Trench, Georgia, Gayther, Simon A., Antoniou, Antonis C., and Pharoah, Paul D. P.
Published: 2022
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41. Enrollment and biospecimen collection in a multiethnic family cohort : the Northern California site of the Breast Cancer Family Registry

Author: John, Esther M., Sangaramoorthy, Meera, Koo, Jocelyn, Whittemore, Alice S., and West, Dee W.
Published: 2019

42. Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes: Findings from the Ovarian Cancer Association Consortium

Author: Johnatty, Sharon E, Group, on behalf of the Australian Ovarian Cancer Study, Tyrer, Jonathan P, Kar, Siddhartha, Beesley, Jonathan, Lu, Yi, Gao, Bo, Fasching, Peter A, Hein, Alexander, Ekici, Arif B, Beckmann, Matthias W, Lambrechts, Diether, Van Nieuwenhuysen, Els, Vergote, Ignace, Lambrechts, Sandrina, Rossing, Mary Anne, Doherty, Jennifer A, Chang-Claude, Jenny, Modugno, Francesmary, Ness, Roberta B, Moysich, Kirsten B, Levine, Douglas A, Kiemeney, Lambertus A, Massuger, Leon FAG, Gronwald, Jacek, Lubiński, Jan, Jakubowska, Anna, Cybulski, Cezary, Brinton, Louise, Lissowska, Jolanta, Wentzensen, Nicolas, Song, Honglin, Rhenius, Valerie, Campbell, Ian, Eccles, Diana, Sieh, Weiva, Whittemore, Alice S, McGuire, Valerie, Rothstein, Joseph H, Sutphen, Rebecca, Anton-Culver, Hoda, Ziogas, Argyrios, Gayther, Simon A, Gentry-Maharaj, Aleksandra, Menon, Usha, Ramus, Susan J, Pearce, Celeste L, Pike, Malcolm C, Stram, Daniel O, Wu, Anna H, Kupryjanczyk, Jolanta, Dansonka-Mieszkowska, Agnieszka, Rzepecka, Iwona K, Spiewankiewicz, Beata, Goodman, Marc T, Wilkens, Lynne R, Carney, Michael E, Thompson, Pamela J, Heitz, Florian, du Bois, Andreas, Schwaab, Ira, Harter, Philipp, Pisterer, Jacobus, Hillemanns, Peter, Group, on behalf of the AGO Study, Karlan, Beth Y, Walsh, Christine, Lester, Jenny, Orsulic, Sandra, Winham, Stacey J, Earp, Madalene, Larson, Melissa C, Fogarty, Zachary C, Høgdall, Estrid, Jensen, Allan, Kjaer, Susanne Kruger, Fridley, Brooke L, Cunningham, Julie M, Vierkant, Robert A, Schildkraut, Joellen M, Iversen, Edwin S, Terry, Kathryn L, Cramer, Daniel W, Bandera, Elisa V, Orlow, Irene, Pejovic, Tanja, Bean, Yukie, Høgdall, Claus, Lundvall, Lene, McNeish, Ian, Paul, James, Carty, Karen, Siddiqui, Nadeem, Glasspool, Rosalind, Sellers, Thomas, Kennedy, Catherine, Chiew, Yoke-Eng, Berchuck, Andrew, MacGregor, Stuart, and Pharoah, Paul DP
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Orphan Drug, Genetics, Human Genome, Precision Medicine, Rare Diseases, Women's Health, Cancer Genomics, Ovarian Cancer, Cancer, 2.1 Biological and endogenous factors, Aetiology, Alleles, Carcinoma, Ovarian Epithelial, Computational Biology, Female, Genome-Wide Association Study, Genotype, Humans, Kaplan-Meier Estimate, Meta-Analysis as Topic, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Patient Outcome Assessment, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, AGO Study Group, Australian Ovarian Cancer Study Group, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis
Abstract: PurposeChemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome.Experimental designWe analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment for progression-free survival (PFS) and overall survival (OS) in 2,901 European epithelial ovarian cancer (EOC) patients who underwent first-line treatment of cytoreductive surgery and chemotherapy regardless of regimen, and in a subset of 1,098 patients treated with ≥ 4 cycles of paclitaxel and carboplatin at standard doses. We evaluated the top SNPs in 4,434 EOC patients, including patients from The Cancer Genome Atlas. In addition, we conducted pathway analysis of all intragenic SNPs and tested their association with PFS and OS using gene set enrichment analysis.ResultsFive SNPs were significantly associated (P ≤ 1.0 × 10(-5)) with poorer outcomes in at least one of the four analyses, three of which, rs4910232 (11p15.3), rs2549714 (16q23), and rs6674079 (1q22), were located in long noncoding RNAs (lncRNAs) RP11-179A10.1, RP11-314O13.1, and RP11-284F21.8, respectively (P ≤ 7.1 × 10(-6)). ENCODE ChIP-seq data at 1q22 for normal ovary show evidence of histone modification around RP11-284F21.8, and rs6674079 is perfectly correlated with another SNP within the super-enhancer MEF2D, expression levels of which were reportedly associated with prognosis in another solid tumor. YAP1- and WWTR1 (TAZ)-stimulated gene expression and high-density lipoprotein (HDL)-mediated lipid transport pathways were associated with PFS and OS, respectively, in the cohort who had standard chemotherapy (pGSEA ≤ 6 × 10(-3)).ConclusionsWe have identified SNPs in three lncRNAs that might be important targets for novel EOC therapies.
Published: 2015

43. Germline Mutations in the BRIP1, BARD1, PALB2, and NBN Genes in Women With Ovarian Cancer.

Author: Ramus, Susan J, Song, Honglin, Dicks, Ed, Tyrer, Jonathan P, Rosenthal, Adam N, Intermaggio, Maria P, Fraser, Lindsay, Gentry-Maharaj, Aleksandra, Hayward, Jane, Philpott, Susan, Anderson, Christopher, Edlund, Christopher K, Conti, David, Harrington, Patricia, Barrowdale, Daniel, Bowtell, David D, Alsop, Kathryn, Mitchell, Gillian, AOCS Study Group, Cicek, Mine S, Cunningham, Julie M, Fridley, Brooke L, Alsop, Jennifer, Jimenez-Linan, Mercedes, Poblete, Samantha, Lele, Shashi, Sucheston-Campbell, Lara, Moysich, Kirsten B, Sieh, Weiva, McGuire, Valerie, Lester, Jenny, Bogdanova, Natalia, Dürst, Matthias, Hillemanns, Peter, Ovarian Cancer Association Consortium, Odunsi, Kunle, Whittemore, Alice S, Karlan, Beth Y, Dörk, Thilo, Goode, Ellen L, Menon, Usha, Jacobs, Ian J, Antoniou, Antonis C, Pharoah, Paul DP, and Gayther, Simon A
Subjects: AOCS Study Group, Ovarian Cancer Association Consortium, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, Ubiquitin-Protein Ligases, RNA Helicases, Cell Cycle Proteins, DNA-Binding Proteins, Tumor Suppressor Proteins, Nuclear Proteins, Risk, Predictive Value of Tests, Germ-Line Mutation, Mutation, Missense, Adult, Aged, Middle Aged, European Continental Ancestry Group, United States, Female, Fanconi Anemia Complementation Group Proteins, High-Throughput Nucleotide Sequencing, Fanconi Anemia Complementation Group N Protein, Carcinoma, Ovarian Epithelial, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract: BACKGROUND:Epithelial ovarian cancer (EOC) is the most lethal gynecological malignancy, responsible for 13 000 deaths per year in the United States. Risk prediction based on identifying germline mutations in ovarian cancer susceptibility genes could have a clinically significant impact on reducing disease mortality. METHODS:Next generation sequencing was used to identify germline mutations in the coding regions of four candidate susceptibility genes-BRIP1, BARD1, PALB2 and NBN-in 3236 invasive EOC case patients and 3431 control patients of European origin, and in 2000 unaffected high-risk women from a clinical screening trial of ovarian cancer (UKFOCSS). For each gene, we estimated the prevalence and EOC risks and evaluated associations between germline variant status and clinical and epidemiological risk factor information. All statistical tests were two-sided. RESULTS:We found an increased frequency of deleterious mutations in BRIP1 in case patients (0.9%) and in the UKFOCSS participants (0.6%) compared with control patients (0.09%) (P = 1 x 10(-4) and 8 x 10(-4), respectively), but no differences for BARD1 (P = .39), NBN1 ( P = .61), or PALB2 (P = .08). There was also a difference in the frequency of rare missense variants in BRIP1 between case patients and control patients (P = 5.5 x 10(-4)). The relative risks associated with BRIP1 mutations were 11.22 for invasive EOC (95% confidence interval [CI] = 3.22 to 34.10, P = 1 x 10(-4)) and 14.09 for high-grade serous disease (95% CI = 4.04 to 45.02, P = 2 x 10(-5)). Segregation analysis in families estimated the average relative risks in BRIP1 mutation carriers compared with the general population to be 3.41 (95% CI = 2.12 to 5.54, P = 7×10(-7)). CONCLUSIONS:Deleterious germline mutations in BRIP1 are associated with a moderate increase in EOC risk. These data have clinical implications for risk prediction and prevention approaches for ovarian cancer and emphasize the critical need for risk estimates based on very large sample sizes before genes of moderate penetrance have clinical utility in cancer prevention.
Published: 2015

44. Association of type and location of BRCA1 and BRCA2 mutations with risk of breast and ovarian cancer.

Author: Rebbeck, Timothy R, Mitra, Nandita, Wan, Fei, Sinilnikova, Olga M, Healey, Sue, McGuffog, Lesley, Mazoyer, Sylvie, Chenevix-Trench, Georgia, Easton, Douglas F, Antoniou, Antonis C, Nathanson, Katherine L, CIMBA Consortium, Laitman, Yael, Kushnir, Anya, Paluch-Shimon, Shani, Berger, Raanan, Zidan, Jamal, Friedman, Eitan, Ehrencrona, Hans, Stenmark-Askmalm, Marie, Einbeigi, Zakaria, Loman, Niklas, Harbst, Katja, Rantala, Johanna, Melin, Beatrice, Huo, Dezheng, Olopade, Olufunmilayo I, Seldon, Joyce, Ganz, Patricia A, Nussbaum, Robert L, Chan, Salina B, Odunsi, Kunle, Gayther, Simon A, Domchek, Susan M, Arun, Banu K, Lu, Karen H, Mitchell, Gillian, Karlan, Beth Y, Walsh, Christine, Lester, Jenny, Godwin, Andrew K, Pathak, Harsh, Ross, Eric, Daly, Mary B, Whittemore, Alice S, John, Esther M, Miron, Alexander, Terry, Mary Beth, Chung, Wendy K, Goldgar, David E, Buys, Saundra S, Janavicius, Ramunas, Tihomirova, Laima, Tung, Nadine, Dorfling, Cecilia M, van Rensburg, Elizabeth J, Steele, Linda, Neuhausen, Susan L, Ding, Yuan Chun, Ejlertsen, Bent, Gerdes, Anne-Marie, Hansen, Thomas VO, Ramón y Cajal, Teresa, Osorio, Ana, Benitez, Javier, Godino, Javier, Tejada, Maria-Isabel, Duran, Mercedes, Weitzel, Jeffrey N, Bobolis, Kristie A, Sand, Sharon R, Fontaine, Annette, Savarese, Antonella, Pasini, Barbara, Peissel, Bernard, Bonanni, Bernardo, Zaffaroni, Daniela, Vignolo-Lutati, Francesca, Scuvera, Giulietta, Giannini, Giuseppe, Bernard, Loris, Genuardi, Maurizio, Radice, Paolo, Dolcetti, Riccardo, Manoukian, Siranoush, Pensotti, Valeria, Gismondi, Viviana, Yannoukakos, Drakoulis, Fostira, Florentia, Garber, Judy, Torres, Diana, Rashid, Muhammad Usman, Hamann, Ute, Peock, Susan, Frost, Debra, Platte, Radka, Evans, D Gareth, Eeles, Rosalind, Davidson, Rosemarie, and Eccles, Diana
Subjects: CIMBA Consortium, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, Nucleotides, Risk Factors, Age of Onset, Heterozygote, Mutation, Genes, BRCA1, Genes, BRCA2, Adult, Middle Aged, Female, Cancer, Prevention, Rare Diseases, Breast Cancer, Clinical Research, Ovarian Cancer, General & Internal Medicine, Medical and Health Sciences
Abstract: ImportanceLimited information about the relationship between specific mutations in BRCA1 or BRCA2 (BRCA1/2) and cancer risk exists.ObjectiveTo identify mutation-specific cancer risks for carriers of BRCA1/2.Design, setting, and participantsObservational study of women who were ascertained between 1937 and 2011 (median, 1999) and found to carry disease-associated BRCA1 or BRCA2 mutations. The international sample comprised 19,581 carriers of BRCA1 mutations and 11,900 carriers of BRCA2 mutations from 55 centers in 33 countries on 6 continents. We estimated hazard ratios for breast and ovarian cancer based on mutation type, function, and nucleotide position. We also estimated RHR, the ratio of breast vs ovarian cancer hazard ratios. A value of RHR greater than 1 indicated elevated breast cancer risk; a value of RHR less than 1 indicated elevated ovarian cancer risk.ExposuresMutations of BRCA1 or BRCA2.Main outcomes and measuresBreast and ovarian cancer risks.ResultsAmong BRCA1 mutation carriers, 9052 women (46%) were diagnosed with breast cancer, 2317 (12%) with ovarian cancer, 1041 (5%) with breast and ovarian cancer, and 7171 (37%) without cancer. Among BRCA2 mutation carriers, 6180 women (52%) were diagnosed with breast cancer, 682 (6%) with ovarian cancer, 272 (2%) with breast and ovarian cancer, and 4766 (40%) without cancer. In BRCA1, we identified 3 breast cancer cluster regions (BCCRs) located at c.179 to c.505 (BCCR1; RHR = 1.46; 95% CI, 1.22-1.74; P = 2 × 10(-6)), c.4328 to c.4945 (BCCR2; RHR = 1.34; 95% CI, 1.01-1.78; P = .04), and c. 5261 to c.5563 (BCCR2', RHR = 1.38; 95% CI, 1.22-1.55; P = 6 × 10(-9)). We also identified an ovarian cancer cluster region (OCCR) from c.1380 to c.4062 (approximately exon 11) with RHR = 0.62 (95% CI, 0.56-0.70; P = 9 × 10(-17)). In BRCA2, we observed multiple BCCRs spanning c.1 to c.596 (BCCR1; RHR = 1.71; 95% CI, 1.06-2.78; P = .03), c.772 to c.1806 (BCCR1'; RHR = 1.63; 95% CI, 1.10-2.40; P = .01), and c.7394 to c.8904 (BCCR2; RHR = 2.31; 95% CI, 1.69-3.16; P = .00002). We also identified 3 OCCRs: the first (OCCR1) spanned c.3249 to c.5681 that was adjacent to c.5946delT (6174delT; RHR = 0.51; 95% CI, 0.44-0.60; P = 6 × 10(-17)). The second OCCR spanned c.6645 to c.7471 (OCCR2; RHR = 0.57; 95% CI, 0.41-0.80; P = .001). Mutations conferring nonsense-mediated decay were associated with differential breast or ovarian cancer risks and an earlier age of breast cancer diagnosis for both BRCA1 and BRCA2 mutation carriers.Conclusions and relevanceBreast and ovarian cancer risks varied by type and location of BRCA1/2 mutations. With appropriate validation, these data may have implications for risk assessment and cancer prevention decision making for carriers of BRCA1 and BRCA2 mutations.
Published: 2015

45. Germline Mutation in BRCA1 or BRCA2 and Ten-Year Survival for Women Diagnosed with Epithelial Ovarian Cancer

Author: Candido-dos-Reis, Francisco J, EMBRACE, for, Song, Honglin, Goode, Ellen L, Cunningham, Julie M, Fridley, Brooke L, Larson, Melissa C, Alsop, Kathryn, Dicks, Ed, Harrington, Patricia, Ramus, Susan J, de Fazio, Anna, Mitchell, Gillian, Fereday, Sian, Bolton, Kelly L, Gourley, Charlie, Michie, Caroline, Karlan, Beth, Lester, Jenny, Walsh, Christine, Cass, Ilana, Olsson, Håkan, Gore, Martin, Benitez, Javier J, Garcia, Maria J, Andrulis, Irene, Mulligan, Anna Marie, Glendon, Gord, Blanco, Ignacio, Lazaro, Conxi, Whittemore, Alice S, McGuire, Valerie, Sieh, Weiva, Montagna, Marco, Alducci, Elisa, Sadetzki, Siegal, Chetrit, Angela, Kwong, Ava, Kjaer, Susanne K, Jensen, Allan, Høgdall, Estrid, Neuhausen, Susan, Nussbaum, Robert, Daly, Mary, Greene, Mark H, Mai, Phuong L, Loud, Jennifer T, Moysich, Kirsten, Toland, Amanda E, Lambrechts, Diether, Ellis, Steve, Frost, Debra, Brenton, James D, Tischkowitz, Marc, Easton, Douglas F, Antoniou, Antonis, Chenevix-Trench, Georgia, Gayther, Simon A, Bowtell, David, and Pharoah, Paul DP
Subjects: Ovarian Cancer, Breast Cancer, Rare Diseases, Clinical Research, Genetics, Clinical Trials and Supportive Activities, Cancer, Prevention, Good Health and Well Being, Aged, Carcinoma, Ovarian Epithelial, Female, Genes, BRCA1, Genes, BRCA2, Germ-Line Mutation, Humans, Middle Aged, Neoplasm Grading, Neoplasm Staging, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Prognosis, Survival Analysis, for EMBRACE, kConFab Investigators, Australian Ovarian Cancer Study Group, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract: PurposeTo analyze the effect of germline mutations in BRCA1 and BRCA2 on mortality in patients with ovarian cancer up to 10 years after diagnosis.Experimental designWe used unpublished survival time data for 2,242 patients from two case-control studies and extended survival time data for 4,314 patients from previously reported studies. All participants had been screened for deleterious germline mutations in BRCA1 and BRCA2. Survival time was analyzed for the combined data using Cox proportional hazard models with BRCA1 and BRCA2 as time-varying covariates. Competing risks were analyzed using Fine and Gray model.ResultsThe combined 10-year overall survival rate was 30% [95% confidence interval (CI), 28%-31%] for non-carriers, 25% (95% CI, 22%-28%) for BRCA1 carriers, and 35% (95% CI, 30%-41%) for BRCA2 carriers. The HR for BRCA1 was 0.53 at time zero and increased over time becoming greater than one at 4.8 years. For BRCA2, the HR was 0.42 at time zero and increased over time (predicted to become greater than 1 at 10.5 years). The results were similar when restricted to 3,202 patients with high-grade serous tumors and to ovarian cancer-specific mortality.ConclusionsBRCA1/2 mutations are associated with better short-term survival, but this advantage decreases over time and in BRCA1 carriers is eventually reversed. This may have important implications for therapy of both primary and relapsed disease and for analysis of long-term survival in clinical trials of new agents, particularly those that are effective in BRCA1/2 mutation carriers.
Published: 2015

46. 10-year performance of four models of breast cancer risk: a validation study

Author: Terry, Mary Beth, Liao, Yuyan, Whittemore, Alice S, Leoce, Nicole, Buchsbaum, Richard, Zeinomar, Nur, Dite, Gillian S, Chung, Wendy K, Knight, Julia A, Southey, Melissa C, Milne, Roger L, Goldgar, David, Giles, Graham G, McLachlan, Sue-Anne, Friedlander, Michael L, Weideman, Prue C, Glendon, Gord, Nesci, Stephanie, Andrulis, Irene L, John, Esther M, Phillips, Kelly-Anne, Daly, Mary B, Buys, Saundra S, Hopper, John L, and MacInnis, Robert J
Published: 2019
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47. Improving sequence-based genotype calls with linkage disequilibrium and pedigree information

Author: Zhou, Baiyu and Whittemore, Alice S.
Subjects: Statistics - Applications, Quantitative Biology - Genomics
Abstract: Whole and targeted sequencing of human genomes is a promising, increasingly feasible tool for discovering genetic contributions to risk of complex diseases. A key step is calling an individual's genotype from the multiple aligned short read sequences of his DNA, each of which is subject to nucleotide read error. Current methods are designed to call genotypes separately at each locus from the sequence data of unrelated individuals. Here we propose likelihood-based methods that improve calling accuracy by exploiting two features of sequence data. The first is the linkage disequilibrium (LD) between nearby SNPs. The second is the Mendelian pedigree information available when related individuals are sequenced. In both cases the likelihood involves the probabilities of read variant counts given genotypes, summed over the unobserved genotypes. Parameters governing the prior genotype distribution and the read error rates can be estimated either from the sequence data itself or from external reference data. We use simulations and synthetic read data based on the 1000 Genomes Project to evaluate the performance of the proposed methods. An R-program to apply the methods to small families is freely available at http://med.stanford.edu/epidemiology/PHGC/., Comment: Published in at http://dx.doi.org/10.1214/11-AOAS527 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Published: 2012
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48. Evaluating Health Risk Models

Author: Whittemore, Alice S.
Subjects: Statistics - Methodology
Abstract: Interest in targeted disease prevention has stimulated development of models that assign risks to individuals, using their personal covariates. We need to evaluate these models, and to quantify the gains achieved by expanding a model with additional covariates. We describe several performance measures for risk models, and show how they are related. Application of the measures to risk models for hypothetical populations and for postmenopausal US women illustrate several points. First, model performance is constrained by the distribution of true risks in the population. This complicates the comparison of two models if they are applied to populations with different covariate distributions. Second, the Brier Score and the Integrated Discrimination Improvement (IDI) are more useful than the concordance statistic for quantifying precision gains obtained from model expansion. Finally, these precision gains are apt to be small, although they may be large for some individuals. We propose a new way to identify these individuals, and show how to quantify how much they gain by measuring the additional covariates. Those with largest gains could be targeted for cost-efficient covariate assessment., Comment: 17 pages, 3 tables, and 5 figures
Published: 2009

49. A Prediction Tool to Facilitate Risk-Stratified Screening for Squamous Cell Skin Cancer

Author: Wang, Wei, Jorgenson, Eric, Ioannidis, Nilah M., Asgari, Maryam M., and Whittemore, Alice S.
Published: 2018
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50. Variation in NF-κB Signaling Pathways and Survival in Invasive Epithelial Ovarian Cancer

Author: Block, Matthew S, Charbonneau, Bridget, Vierkant, Robert A, Fogarty, Zachary, Bamlet, William R, Pharoah, Paul DP, Chenevix-Trench, Georgia, AOCS, for, Group, ACS, Rossing, Mary Anne, Cramer, Daniel, Pearce, Celeste Leigh, Schildkraut, Joellen, Menon, Usha, Kjaer, Susanne K, Levine, Douglas A, Gronwald, Jacek, Culver, Hoda Anton, Whittemore, Alice S, Karlan, Beth Y, Lambrechts, Diether, Wentzensen, Nicolas, Kupryjanczyk, Jolanta, Chang-Claude, Jenny, Bandera, Elisa V, Hogdall, Estrid, Heitz, Florian, Kaye, Stanley B, Fasching, Peter A, Campbell, Ian, Goodman, Marc T, Pejovic, Tanja, Bean, Yukie T, Hays, Laura E, Lurie, Galina, Eccles, Diana, Hein, Alexander, Beckmann, Matthias W, Ekici, Arif B, Paul, James, Brown, Robert, Flanagan, James M, Harter, Philipp, du Bois, Andreas, Schwaab, Ira, Hogdall, Claus K, Lundvall, Lene, Olson, Sara H, Orlow, Irene, Paddock, Lisa E, Rudolph, Anja, Eilber, Ursula, Dansonka-Mieszkowska, Agnieszka, Rzepecka, Iwona K, Ziolkowska-Seta, Izabela, Brinton, Louise A, Yang, Hannah, Garcia-Closas, Montserrat, Despierre, Evelyn, Lambrechts, Sandrina, Vergote, Ignace, Walsh, Christine S, Lester, Jenny, Sieh, Weiva, McGuire, Valerie, Rothstein, Joseph H, Ziogas, Argyrios, Lubiński, Jan, Cybulski, Cezary, Menkiszak, Janusz, Jensen, Allan, Gayther, Simon A, Ramus, Susan J, Gentry-Maharaj, Aleksandra, Berchuck, Andrew, Wu, Anna H, Pike, Malcolm C, Van Den Berg, David, Terry, Kathryn L, Vitonis, Allison F, Ramirez, Starr M, Rider, David N, Knutson, Keith L, Sellers, Thomas A, Phelan, Catherine M, Doherty, Jennifer A, Johnatty, Sharon E, deFazio, Anna, Song, Honglin, Tyrer, Jonathan, Kalli, Kimberly R, Fridley, Brooke L, Cunningham, Julie M, and Goode, Ellen L
Subjects: Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Immunology, Prevention, Ovarian Cancer, Genetics, Rare Diseases, Cancer, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Adult, Aged, Carcinoma, Ovarian Epithelial, Female, Genotype, Humans, Middle Aged, NF-kappa B, Neoplasm Invasiveness, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Proportional Hazards Models, Signal Transduction, Georgia Chenevix-Trench, for AOCS, /ACS Group, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract: Survival in epithelial ovarian cancer (EOC) is influenced by the host immune response, yet the key genetic determinants of inflammation and immunity that affect prognosis are not known. The nuclear factor-κB (NF-κB) transcription factor family plays an important role in many immune and inflammatory responses, including the response to cancer. We studied common inherited variation in 210 genes in the NF-κB family in 10,084 patients with invasive EOC (5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous) from the Ovarian Cancer Association Consortium. Associations between genotype and overall survival were assessed using Cox regression for all patients and by major histology, adjusting for known prognostic factors and correcting for multiple testing (threshold for statistical significance, P < 2.5 × 10(-5)). Results were statistically significant when assessed for patients of a single histology. Key associations were with caspase recruitment domain family, member 11 (CARD11) rs41324349 in patients with mucinous EOC [HR, 1.82; 95% confidence interval (CI), 1.41-2.35; P = 4.13 × 10(-6)] and tumor necrosis factor receptor superfamily, member 13B (TNFRSF13B) rs7501462 in patients with endometrioid EOC (HR, 0.68; 95% CI, 0.56-0.82; P = 2.33 × 10(-5)). Other associations of note included TNF receptor-associated factor 2 (TRAF2) rs17250239 in patients with high-grade serous EOC (HR, 0.84; 95% CI, 0.77-0.92; P = 6.49 × 10(-5)) and phospholipase C, gamma 1 (PLCG1) rs11696662 in patients with clear cell EOC (HR, 0.43; 95% CI, 0.26-0.73; P = 4.56 × 10(-4)). These associations highlight the potential importance of genes associated with host inflammation and immunity in modulating clinical outcomes in distinct EOC histologies.
Published: 2014

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