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507 results on '"Bernardini, Marcus Q."'

1. 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 KH, 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 BM, 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 VO, Harris, Holly R, Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle AT, 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, and Janavicius, Ramunas

Subjects
GEMO Study Collaborators, GC-HBOC Study Collaborators, EMBRACE Collaborators, OPAL Study Group, AOCS Group, KConFab Investigators, HEBON Investigators, OCAC Consortium, CIMBA Consortium, Genetics, Clinical Sciences, Genetics & Heredity
Published
2022

2. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions

Author

Dareng, Eileen O., Coetzee, Simon G., Tyrer, Jonathan P., Peng, Pei-Chen, Rosenow, Will, Chen, Stephanie, Davis, Brian D., Dezem, Felipe Segato, Seo, Ji-Heui, Nameki, Robbin, Reyes, Alberto L., Aben, Katja K.H., Anton-Culver, Hoda, Antonenkova, Natalia N., Aravantinos, Gerasimos, Bandera, Elisa V., Beane Freeman, Laura E., Beckmann, Matthias W., Beeghly-Fadiel, Alicia, Benitez, Javier, Bernardini, Marcus Q., Bjorge, Line, Black, Amanda, Bogdanova, Natalia V., Bolton, Kelly L., Brenton, James D., Budzilowska, Agnieszka, Butzow, Ralf, Cai, Hui, Campbell, Ian, Cannioto, Rikki, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Kexin, Chenevix-Trench, Georgia, Chiew, Yoke-Eng, Cook, Linda S., DeFazio, Anna, Dennis, Joe, Doherty, Jennifer A., Dörk, Thilo, du Bois, Andreas, Dürst, Matthias, Eccles, Diana M., Ene, Gabrielle, Fasching, Peter A., Flanagan, James M., Fortner, Renée T., Fostira, Florentia, Gentry-Maharaj, Aleksandra, Giles, Graham G., Goodman, Marc T., Gronwald, Jacek, Haiman, Christopher A., Håkansson, Niclas, Heitz, Florian, Hildebrandt, Michelle A.T., Høgdall, Estrid, Høgdall, Claus K., Huang, Ruea-Yea, Jensen, Allan, Jones, Michael E., Kang, Daehee, Karlan, Beth Y., Karnezis, Anthony N., Kelemen, Linda E., Kennedy, Catherine J., Khusnutdinova, Elza K., Kiemeney, Lambertus A., Kjaer, Susanne K., Kupryjanczyk, Jolanta, Labrie, Marilyne, Lambrechts, Diether, Larson, Melissa C., Le, Nhu D., Lester, Jenny, Li, Lian, Lubiński, Jan, Lush, Michael, Marks, Jeffrey R., Matsuo, Keitaro, May, Taymaa, McLaughlin, John R., McNeish, Iain A., Menon, Usha, Missmer, Stacey, Modugno, Francesmary, Moffitt, Melissa, Monteiro, Alvaro N., Moysich, Kirsten B., Narod, Steven A., Nguyen-Dumont, Tu, Odunsi, Kunle, Olsson, Håkan, Onland-Moret, N. Charlotte, Park, Sue K., Pejovic, Tanja, Permuth, Jennifer B., Piskorz, Anna, Prokofyeva, Darya, Riggan, Marjorie J., Risch, Harvey A., Rodríguez-Antona, Cristina, Rossing, Mary Anne, Sandler, Dale P., Setiawan, V. Wendy, Shan, Kang, Song, Honglin, Southey, Melissa C., Steed, Helen, Sutphen, Rebecca, Swerdlow, Anthony J., Teo, Soo Hwang, Terry, Kathryn L., Thompson, Pamela J., Vestrheim Thomsen, Liv Cecilie, Titus, Linda, Trabert, Britton, Travis, Ruth, Tworoger, Shelley S., Valen, Ellen, Van Nieuwenhuysen, Els, Edwards, Digna Velez, Vierkant, Robert A., Webb, Penelope M., Weinberg, Clarice R., Weise, Rayna Matsuno, Wentzensen, Nicolas, White, Emily, Winham, Stacey J., Wolk, Alicja, Woo, Yin-Ling, Wu, Anna H., Yan, Li, Yannoukakos, Drakoulis, Zeinomar, Nur, Zheng, Wei, Ziogas, Argyrios, Berchuck, Andrew, Goode, Ellen L., Huntsman, David G., Pearce, Celeste L., Ramus, Susan J., Sellers, Thomas A., Freedman, Matthew L., Lawrenson, Kate, Schildkraut, Joellen M., Hazelett, Dennis, Plummer, Jasmine T., Kar, Siddhartha, Jones, Michelle R., Pharoah, Paul D.P., and Gayther, Simon A.

Published
2024
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3. 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 KH, 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 BM, 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 VO, Harris, Holly R, Hartman, Mikael, Heitz, Florian, Hildebrandt, Michelle AT, 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, and Janavicius, Ramunas

Subjects
Prevention, Cancer, Ovarian Cancer, Rare Diseases, Good Health and Well Being, Bayes Theorem, Breast Neoplasms, Carcinoma, Ovarian Epithelial, Female, Genetic Predisposition to Disease, Humans, Male, Ovarian Neoplasms, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, GEMO Study Collaborators, GC-HBOC Study Collaborators, EMBRACE Collaborators, OPAL Study Group, AOCS Group, KConFab Investigators, HEBON Investigators, OCAC Consortium, CIMBA Consortium, Genetics, Clinical Sciences, Genetics & Heredity
Abstract

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.

Published
2022

4. Identification of antigenic epitopes recognized by tumor infiltrating lymphocytes in high grade serous ovarian cancer by multi-omics profiling of the auto-antigen repertoire

Author

Millar, Douglas G., Yang, S. Y. Cindy, Sayad, Azin, Zhao, Qingchuan, Nguyen, Linh T., Warner, Kathrin, Sangster, Ami G., Nakatsugawa, Munehide, Murata, Kenji, Wang, Ben X., Shaw, Patricia, Clarke, Blaise, Bernardini, Marcus Q., Pugh, Trevor, Thibault, Pierre, Hirano, Naoto, Perreault, Claude, and Ohashi, Pamela S.

Published
2023
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5. Cross-Cancer Genome-Wide Association Study of Endometrial Cancer and Epithelial Ovarian Cancer Identifies Genetic Risk Regions Associated with Risk of Both Cancers

Author

Glubb, Dylan M, Thompson, Deborah J, Aben, Katja KH, Alsulimani, Ahmad, Amant, Frederic, Annibali, Daniela, Attia, John, Barricarte, Aurelio, Beckmann, Matthias W, Berchuck, Andrew, Bermisheva, Marina, Bernardini, Marcus Q, Bischof, Katharina, Bjorge, Line, Bodelon, Clara, Brand, Alison H, Brenton, James D, Brinton, Louise A, Bruinsma, Fiona, Buchanan, Daniel D, Burghaus, Stefanie, Butzow, Ralf, Cai, Hui, Carney, Michael E, Chanock, Stephen J, Chen, Chu, Chen, Xiao Qing, Chen, Zhihua, Cook, Linda S, Cunningham, Julie M, De Vivo, Immaculata, deFazio, Anna, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dunning, Alison M, Dürst, Matthias, Edwards, Todd, Edwards, Robert P, Ekici, Arif B, Ewing, Ailith, Fasching, Peter A, Ferguson, Sarah, Flanagan, James M, Fostira, Florentia, Fountzilas, George, Friedenreich, Christine M, Gao, Bo, Gaudet, Mia M, Gawełko, Jan, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Harris, Holly R, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Høgdall, Estrid, Høgdall, Claus K, Holliday, Elizabeth G, Huntsman, David G, Huzarski, Tomasz, Jakubowska, Anna, Jensen, Allan, Jones, Michael E, Karlan, Beth Y, Karnezis, Anthony, Kelley, Joseph L, Khusnutdinova, Elza, Killeen, Jeffrey L, Kjaer, Susanne K, Klapdor, Rüdiger, Köbel, Martin, Konopka, Bozena, Konstantopoulou, Irene, Kopperud, Reidun K, Koti, Madhuri, Kraft, Peter, Kupryjanczyk, Jolanta, Lambrechts, Diether, Larson, Melissa C, Le Marchand, Loic, Lele, Shashikant, Lester, Jenny, Li, Andrew J, Liang, Dong, Liebrich, Clemens, Lipworth, Loren, Lissowska, Jolanta, Lu, Lingeng, Lu, Karen H, Macciotta, Alessandra, Mattiello, Amalia, May, Taymaa, McAlpine, Jessica N, and McGuire, Valerie

Subjects
Epidemiology, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Human Genome, Uterine Cancer, Genetics, Biotechnology, Ovarian Cancer, Prevention, Cancer, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, Carcinoma, Ovarian Epithelial, Endometrial Neoplasms, Female, Genome-Wide Association Study, Humans, Ovarian Neoplasms, Quantitative Trait Loci, Risk Factors, OPAL Study Group, AOCS Group, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundAccumulating evidence suggests a relationship between endometrial cancer and ovarian cancer. Independent genome-wide association studies (GWAS) for endometrial cancer and ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. We aimed to identify joint endometrial and ovarian cancer risk loci by performing a meta-analysis of GWAS summary statistics from these two cancers.MethodsUsing LDScore regression, we explored the genetic correlation between endometrial cancer and ovarian cancer. To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e., inverse-variance meta-analysis, colocalization, and M-values) and performed analyses stratified by subtype. Candidate target genes were then prioritized using functional genomic data.ResultsGenetic correlation analysis revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10-5). We found seven loci associated with risk for both cancers (P Bonferroni < 2.4 × 10-9). In addition, four novel subgenome-wide regions at 7p22.2, 7q22.1, 9p12, and 11q13.3 were identified (P < 5 × 10-7). Promoter-associated HiChIP chromatin loops from immortalized endometrium and ovarian cell lines and expression quantitative trait loci data highlighted candidate target genes for further investigation.ConclusionsUsing cross-cancer GWAS meta-analysis, we have identified several joint endometrial and ovarian cancer risk loci and candidate target genes for future functional analysis.ImpactOur research highlights the shared genetic relationship between endometrial cancer and ovarian cancer. Further studies in larger sample sets are required to confirm our findings.

Published
2021

6. Cross-cancer genome-wide association study of endometrial cancer and epithelial ovarian cancer identifies genetic risk regions associated with risk of both cancers

Author

Glubb, Dylan M, Thompson, Deborah J, Aben, Katja KH, Alsulimani, Ahmad, Amant, Frederic, Annibali, Daniela, Attia, John, Barricarte, Aurelio, Beckmann, Matthias W, Berchuck, Andrew, Bermisheva, Marina, Bernardini, Marcus Q, Bischof, Katharina, Bjorge, Line, Bodelon, Clara, Brand, Alison H, Brenton, James D, Brinton, Louise, Bruinsma, Fiona, Buchanan, Daniel D, Burghaus, Stefanie, Butzow, Ralf, Cai, Hui, Carney, Michael E, Chanock, Stephen J, Chen, Chu, Chen, Xiao Qing, Chen, Zhihua, Cook, Linda S, Cunningham, Julie M, De Vivo, Immaculata, deFazio, Anna, Doherty, Jennifer A, Dörk, Thilo, du Bois, Andreas, Dunning, Alison M, Dürst, Matthias, Edwards, Todd, Edwards, Robert P, Ekici, Arif B, Ewing, Ailith, Fasching, Peter A, Ferguson, Sarah, Flanagan, James M, Fostira, Florentia, Fountzilas, George, Friedenreich, Christine M, Gao, Bo, Gaudet, Mia M, Gawełko, Jan, Gentry-Maharaj, Aleksandra, Giles, Graham G, Glasspool, Rosalind, Goodman, Marc T, Gronwald, Jacek, Group, OPAL Study, Group, AOCS, Harris, Holly R, Harter, Philipp, Hein, Alexander, Heitz, Florian, Hildebrandt, Michelle AT, Hillemanns, Peter, Høgdall, Estrid, Høgdall, Claus K, Holliday, Elizabeth G, Huntsman, David G, Huzarski, Tomasz, Jakubowska, Anna, Jensen, Allan, Jones, Michael E, Karlan, Beth Y, Karnezis, Anthony, Kelley, Joseph L, Khusnutdinova, Elza, Killeen, Jeffrey L, Kjaer, Susanne K, Klapdor, Rüdiger, Köbel, Martin, Konopka, Bozena, Konstantopoulou, Irene, Kopperud, Reidun K, Koti, Madhuri, Kraft, Peter, Kupryjanczyk, Jolanta, Lambrechts, Diether, Larson, Melissa C, Le Marchand, Loic, Lele, Shashikant B, Lester, Jenny, Li, Andrew J, Liang, Dong, Liebrich, Clemens, Lipworth, Loren, Lissowska, Jolanta, Lu, Lingeng, Lu, Karen H, Macciotta, Alessandra, Mattiello, Amalia, and May, Taymaa

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Statistics, Mathematical Sciences, Oncology and Carcinogenesis, Aging, Rare Diseases, Human Genome, Cancer, Uterine Cancer, Ovarian Cancer, Prevention, Biotechnology, Aetiology, 2.1 Biological and endogenous factors
Abstract

Abstract: Accumulating evidence suggests a relationship between endometrial cancer and epithelial ovarian cancer. For example, endometrial cancer and epithelial ovarian cancer share epidemiological risk factors and molecular features observed across histotypes are held in common (e.g. serous, endometrioid and clear cell). Independent genome-wide association studies (GWAS) for endometrial cancer and epithelial ovarian cancer have identified 16 and 27 risk regions, respectively, four of which overlap between the two cancers. Using GWAS summary statistics, we explored the shared genetic etiology between endometrial cancer and epithelial ovarian cancer. Genetic correlation analysis using LD Score regression revealed significant genetic correlation between the two cancers (rG = 0.43, P = 2.66 × 10−5). To identify loci associated with the risk of both cancers, we implemented a pipeline of statistical genetic analyses (i.e. inverse-variance meta-analysis, co-localization, and M-values), and performed analyses by stratified by subtype. We found seven loci associated with risk for both cancers (PBonferroni < 2.4 × 10−9). In addition, four novel regions at 7p22.2, 7q22.1, 9p12 and 11q13.3 were identified at a sub-genome wide threshold (P < 5 × 10−7). Integration with promoter-associated HiChIP chromatin loops from immortalized endometrium and epithelial ovarian cell lines, and expression quantitative trait loci (eQTL) data highlighted candidate target genes for further investigation.

Published
2020

7. Characterization of innate lymphoid cell subsets infiltrating melanoma and epithelial ovarian tumors

Author

Chung, Douglas C., primary, Ghaedi, Maryam, additional, Warner, Kathrin, additional, Sayad, Azin, additional, Saibil, Samuel D., additional, Bernardini, Marcus Q., additional, Clarke, Blaise A., additional, Shaw, Patricia A., additional, Butler, Marcus O., additional, Easson, Alexandra, additional, Morrissy, Sorana, additional, Wang, Ben X., additional, Nguyen, Linh, additional, Ohashi, Pamela S., additional, and Jacquelot, Nicolas, additional

Published
2024
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8. 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

14. Generation of an Inhibitory NK Cell Subset by TGF-β1/IL-15 Polarization

Author

Chung, Douglas C., primary, Garcia-Batres, Carlos R., additional, Millar, Douglas G., additional, Wong, Stephanie W. Y., additional, Elford, Alisha R., additional, Mathews, Jessica A., additional, Wang, Ben X., additional, Nguyen, Linh T., additional, Shaw, Patricia A., additional, Clarke, Blaise A., additional, Bernardini, Marcus Q., additional, Sacher, Adrian G., additional, Crome, Sarah Q., additional, and Ohashi, Pamela S., additional

Published
2024
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18. The Prevent Ovarian Cancer Program (POCP): Identification of women at risk for ovarian cancer using complementary recruitment approaches

Author

Tone, Alicia A., McCuaig, Jeanna M., Ricker, Nicole, Boghosian, Talin, Romagnuolo, Tina, Stickle, Natalie, Virtanen, Carl, Zhang, Tong, Kim, Raymond H., Ferguson, Sarah E., May, Taymaa, Laframboise, Stephane, Armel, Susan, Demsky, Rochelle, Volenik, Alexandra, Stuart-McEwan, Terri, Shaw, Patricia, Oza, Amit, Kamel-Reid, Suzanne, Stockley, Tracy, and Bernardini, Marcus Q.

Published
2021
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20. Understanding the clinical implication of mismatch repair deficiency in endometrioid endometrial cancer through a prospective study

Author

Kim, Soyoun Rachel, Tone, Alicia, Kim, Raymond H., Cesari, Matthew, Clarke, Blaise A., Eiriksson, Lua, Hart, Tae, Aronson, Melyssa, Holter, Spring, Lytwyn, Alice, Lajkosz, Katherine, Oldfield, Leslie, Gallinger, Steven, Bernardini, Marcus Q., Oza, Amit M., Djordjevic, Bojana, Lerner-Ellis, Jordan, Van de Laar, Emily, Vicus, Danielle, Pugh, Trevor, Pollett, Aaron, and Ferguson, Sarah E.

Published
2021
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21. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

Author

Phelan, Catherine M, Kuchenbaecker, Karoline B, Tyrer, Jonathan P, Kar, Siddhartha P, Lawrenson, Kate, Winham, Stacey J, Dennis, Joe, Pirie, Ailith, Riggan, Marjorie J, Chornokur, Ganna, Earp, Madalene A, Lyra, Paulo C, Lee, Janet M, Coetzee, Simon, Beesley, Jonathan, McGuffog, Lesley, Soucy, Penny, Dicks, Ed, Lee, Andrew, Barrowdale, Daniel, Lecarpentier, Julie, Leslie, Goska, Aalfs, Cora M, Aben, Katja KH, Adams, Marcia, Adlard, Julian, Andrulis, Irene L, Anton-Culver, Hoda, Antonenkova, Natalia, AOCS study group, Aravantinos, Gerasimos, Arnold, Norbert, Arun, Banu K, Arver, Brita, Azzollini, Jacopo, Balmaña, Judith, Banerjee, Susana N, Barjhoux, Laure, Barkardottir, Rosa B, Bean, Yukie, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bermisheva, Marina, Bernardini, Marcus Q, Birrer, Michael J, Bjorge, Line, Black, Amanda, Blankstein, Kenneth, Blok, Marinus J, Bodelon, Clara, Bogdanova, Natalia, Bojesen, Anders, Bonanni, Bernardo, Borg, Åke, Bradbury, Angela R, Brenton, James D, Brewer, Carole, Brinton, Louise, Broberg, Per, Brooks-Wilson, Angela, Bruinsma, Fiona, Brunet, Joan, Buecher, Bruno, Butzow, Ralf, Buys, Saundra S, Caldes, Trinidad, Caligo, Maria A, Campbell, Ian, Cannioto, Rikki, Carney, Michael E, Cescon, Terence, Chan, Salina B, Chang-Claude, Jenny, Chanock, Stephen, Chen, Xiao Qing, Chiew, Yoke-Eng, Chiquette, Jocelyne, Chung, Wendy K, Claes, Kathleen BM, Conner, Thomas, Cook, Linda S, Cook, Jackie, Cramer, Daniel W, Cunningham, Julie M, D'Aloisio, Aimee A, Daly, Mary B, Damiola, Francesca, Damirovna, Sakaeva Dina, Dansonka-Mieszkowska, Agnieszka, Dao, Fanny, Davidson, Rosemarie, DeFazio, Anna, Delnatte, Capucine, Doheny, Kimberly F, Diez, Orland, Ding, Yuan Chun, Doherty, Jennifer Anne, Domchek, Susan M, and Dorfling, Cecilia M

Subjects
AOCS study group, EMBRACE Study, GEMO Study Collaborators, HEBON Study, KConFab Investigators, OPAL study group, Humans, Neoplasms, Glandular and Epithelial, Ovarian Neoplasms, Genetic Predisposition to Disease, Telomere-Binding Proteins, BRCA1 Protein, BRCA2 Protein, Risk Factors, Genotype, Mutation, Polymorphism, Single Nucleotide, Alleles, Female, Meta-Analysis as Topic, Genome-Wide Association Study, Genetic Loci, Carcinoma, Ovarian Epithelial, Genetics, Cancer, Human Genome, Rare Diseases, Prevention, Ovarian Cancer, Aetiology, 2.1 Biological and endogenous factors, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

Published
2017

22. A distinct innate lymphoid cell population regulates tumor-associated T cells

Author

Crome, Sarah Q, Nguyen, Linh T, Lopez-Verges, Sandra, Yang, SY Cindy, Martin, Bernard, Yam, Jennifer Y, Johnson, Dylan J, Nie, Jessica, Pniak, Michael, Yen, Pei Hua, Milea, Anca, Sowamber, Ramlogan, Katz, Sarah Rachel, Bernardini, Marcus Q, Clarke, Blaise A, Shaw, Patricia A, Lang, Philipp A, Berman, Hal K, Pugh, Trevor J, Lanier, Lewis L, and Ohashi, Pamela S

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Immunology, Rare Diseases, Lymphoma, Hematology, Vaccine Related, Cancer, Immunization, Aetiology, 2.1 Biological and endogenous factors, CD3 Complex, CD56 Antigen, Cell Proliferation, Cytokines, Flow Cytometry, Humans, Immune Tolerance, Immunity, Innate, Immunotherapy, Interleukins, Killer Cells, Natural, Lymphocytes, Lymphocytes, Tumor-Infiltrating, Natural Cytotoxicity Triggering Receptor 1, Neoplasms, T-Lymphocytes, Tumor Microenvironment, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

Antitumor T cells are subject to multiple mechanisms of negative regulation. Recent findings that innate lymphoid cells (ILCs) regulate adaptive T cell responses led us to examine the regulatory potential of ILCs in the context of cancer. We identified a unique ILC population that inhibits tumor-infiltrating lymphocytes (TILs) from high-grade serous tumors, defined their suppressive capacity in vitro, and performed a comprehensive analysis of their phenotype. Notably, the presence of this CD56+CD3- population in TIL cultures was associated with reduced T cell numbers, and further functional studies demonstrated that this population suppressed TIL expansion and altered TIL cytokine production. Transcriptome analysis and phenotypic characterization determined that regulatory CD56+CD3- cells exhibit low cytotoxic activity, produce IL-22, and have an expression profile that overlaps with those of natural killer (NK) cells and other ILCs. NKp46 was highly expressed by these cells, and addition of anti-NKp46 antibodies to TIL cultures abrogated the ability of these regulatory ILCs to suppress T cell expansion. Notably, the presence of these regulatory ILCs in TIL cultures corresponded with a striking reduction in the time to disease recurrence. These studies demonstrate that a previously uncharacterized ILC population regulates the activity and expansion of tumor-associated T cells.

Published
2017

25. Quality of life in patients with cervical cancer after open versus minimally invasive radical hysterectomy (LACC): a secondary outcome of a multicentre, randomised, open-label, phase 3, non-inferiority trial

Author

Frumovitz, Michael, Obermair, Andreas, Coleman, Robert L, Pareja, Rene, Lopez, Aldo, Ribero, Reitan, Isla, David, Rendon, Gabriel, Bernardini, Marcus Q, Buda, Alessandro, Moretti-Marquez, Renato, Zevallos, Albert, Vieira, Marcelo A, Zhu, Tao, Land, Russell P, Nicklin, James, Asher, Rebecca, Robledo, Kristy P, Gebski, Val, and Ramirez, Pedro T

Published
2020
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27. Brief family history questionnaire to screen for Lynch syndrome in women with newly diagnosed non-serous, non-mucinous ovarian cancers

Author

Kim, Soyoun Rachel, Tone, Alicia, Kim, Raymond, Cesari, Matthew, Clarke, Blaise, Hart, Tae, Aronson, Melyssa, Holter, Spring, Lytwyn, Alice, Maganti, Manjula, Oldfield, Leslie, Gallinger, Steven, Bernardini, Marcus Q, Oza, Amit M, Djordjevic, Bojana, Lerner-Ellis, Jordan, Van de Laar, Emily, Vicus, Danielle, Pugh, Trevor J, Pollett, Aaron, Ferguson, Sarah Elizabeth, and Eiriksson, Lua

Published
2022
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30. Lineage-defined leiomyosarcoma subtypes emerge years before diagnosis and determine patient survival

Author

Anderson, Nathaniel D., Babichev, Yael, Fuligni, Fabio, Comitani, Federico, Layeghifard, Mehdi, Venier, Rosemarie E., Dentro, Stefan C., Maheshwari, Anant, Guram, Sheena, Wunker, Claire, Thompson, J. Drew, Yuki, Kyoko E., Hou, Huayun, Zatzman, Matthew, Light, Nicholas, Bernardini, Marcus Q., Wunder, Jay S., Andrulis, Irene L., Ferguson, Peter, Razak, Albiruni R. Abdul, Swallow, Carol J., Dowling, James J., Al-Awar, Rima S., Marcellus, Richard, Rouzbahman, Marjan, Gerstung, Moritz, Durocher, Daniel, Alexandrov, Ludmil B., Dickson, Brendan C., Gladdy, Rebecca A., and Shlien, Adam

Published
2021
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36. Disturbed sleep is associated with reduced verbal episodic memory and entorhinal cortex volume in younger middle-aged women with risk-reducing early ovarian removal

Author

Gervais, Nicole J., primary, Gravelsins, Laura, additional, Brown, Alana, additional, Reuben, Rebekah, additional, Perovic, Mateja, additional, Karkaby, Laurice, additional, Nicoll, Gina, additional, Laird, Kazakao, additional, Ramana, Shreeyaa, additional, Bernardini, Marcus Q., additional, Jacobson, Michelle, additional, Velsher, Lea, additional, Foulkes, William, additional, Rajah, M. Natasha, additional, Olsen, Rosanna K., additional, Grady, Cheryl, additional, and Einstein, Gillian, additional

Published
2023
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37. Current and new frontiers in hereditary cancer surveillance: Opportunities for liquid biopsy

Author

Farncombe, Kirsten M., primary, Wong, Derek, additional, Norman, Maia L., additional, Oldfield, Leslie E., additional, Sobotka, Julia A., additional, Basik, Mark, additional, Bombard, Yvonne, additional, Carile, Victoria, additional, Dawson, Lesa, additional, Foulkes, William D., additional, Malkin, David, additional, Karsan, Aly, additional, Parkin, Patricia, additional, Penney, Lynette S., additional, Pollett, Aaron, additional, Schrader, Kasmintan A., additional, Pugh, Trevor J., additional, Kim, Raymond H., additional, Aguilar-Mahecha, Adriana, additional, Aronson, Melyssa, additional, Baxter, Nancy N., additional, Bedard, Phil, additional, Berman, Hal, additional, Bernardini, Marcus Q., additional, Chan, Clarissa F., additional, Cil, Tulin, additional, Clarke, Blaise, additional, Dhalla, Irfan, additional, Elser, Christine, additional, Ene, Gabrielle EV., additional, Farncombe, Kirsten M., additional, Ferguson, Sarah, additional, Genge, Laura, additional, Gryfe, Robert, additional, Jacobson, Michelle R., additional, Kastner, Monika, additional, Kaurah, Pardeep, additional, Lafleur, Josiane, additional, Lerner-Ellis, Jordan, additional, Lheureux, Stephanie, additional, MacDonald, Shelley M., additional, McCuaig, Jeanna, additional, Mckee, Brian, additional, Mittmann, Nicole, additional, Panchal, Seema, additional, Piccinin, Carolyn, additional, Regier, Dean, additional, Rezoug, Zoulikha, additional, Rideout, Krista, additional, Semotiuk, Kara, additional, Singh, Sara, additional, Siu, Lillian, additional, Sun, Sophie, additional, Thain, Emily, additional, Wallace, Karin, additional, Ward, Thomas, additional, Westergard, Shelley, additional, Whittle, Stacy, additional, Xu, Wei, additional, and Yu, Celeste, additional

Published
2023
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40. A novel population of CD103-expressing CD56 +regulatory ILCs suppresses intratumoural T cells and are associated with poor prognosis in patients with ovarian carcinoma

Author

Chung, Douglas, primary, Vakharia, Jehan, additional, Warner, Kathrin, additional, Jacquelot, Nicolas, additional, Sayad, Azin, additional, Han, SeongJun, additional, Ghaedi, Maryam, additional, Garcia-Batres, Carlos, additional, Elford, Alisha R, additional, Matthews, Jessica A, additional, Wang, Ben X, additional, Nguyen, Linh T, additional, Shaw, Patricia A, additional, Clarke, Blaise A, additional, Bernardini, Marcus Q, additional, Ferguson, Sarah E, additional, Crome, Sarah Q, additional, and Ohashi, Pamela S, additional

Published
2023
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48. Data from IL6 Induces an IL22+ CD8+ T-cell Subset with Potent Antitumor Function

Author

St. Paul, Michael, primary, Saibil, Samuel D., primary, Lien, Scott C., primary, Han, SeongJun, primary, Sayad, Azin, primary, Mulder, David T., primary, Garcia-Batres, Carlos R., primary, Elford, Alisha R., primary, Israni-Winger, Kavita, primary, Robert-Tissot, Céline, primary, Zon, Michael, primary, Katz, Sarah Rachel, primary, Shaw, Patricia A., primary, Clarke, Blaise A., primary, Bernardini, Marcus Q., primary, Nguyen, Linh T., primary, Haibe-Kains, Benjamin, primary, Pugh, Trevor J., primary, and Ohashi, Pamela S., primary

Published
2023
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50. Supplementary Figures and Tables from IL6 Induces an IL22+ CD8+ T-cell Subset with Potent Antitumor Function

Author

St. Paul, Michael, primary, Saibil, Samuel D., primary, Lien, Scott C., primary, Han, SeongJun, primary, Sayad, Azin, primary, Mulder, David T., primary, Garcia-Batres, Carlos R., primary, Elford, Alisha R., primary, Israni-Winger, Kavita, primary, Robert-Tissot, Céline, primary, Zon, Michael, primary, Katz, Sarah Rachel, primary, Shaw, Patricia A., primary, Clarke, Blaise A., primary, Bernardini, Marcus Q., primary, Nguyen, Linh T., primary, Haibe-Kains, Benjamin, primary, Pugh, Trevor J., primary, and Ohashi, Pamela S., primary

Published
2023
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