631 results on '"Pharoah, P"'
Search Results
2. Germline copy number variants and endometrial cancer risk
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Stylianou, Cassie E., Wiggins, George A. R., Lau, Vanessa L., Dennis, Joe, Shelling, Andrew N., Wilson, Michelle, Sykes, Peter, Amant, Frederic, Annibali, Daniela, De Wispelaere, Wout, Easton, Douglas F., Fasching, Peter A., Glubb, Dylan M., Goode, Ellen L., Lambrechts, Diether, Pharoah, Paul D. P., Scott, Rodney J., Tham, Emma, Tomlinson, Ian, Bolla, Manjeet K., Couch, Fergus J., Czene, Kamila, Dörk, Thilo, Dunning, Alison M., Fletcher, Olivia, García-Closas, Montserrat, Hoppe, Reiner, Jernström, Helena, Kaaks, Rudolf, Michailidou, Kyriaki, Obi, Nadia, Southey, Melissa C., Stone, Jennifer, Wang, Qin, Spurdle, Amanda B., O’Mara, Tracy A., Pearson, John, and Walker, Logan C.
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- 2024
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3. Understanding the genetic complexity of puberty timing across the allele frequency spectrum
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Kentistou, Katherine A., Kaisinger, Lena R., Stankovic, Stasa, Vaudel, Marc, Mendes de Oliveira, Edson, Messina, Andrea, Walters, Robin G., Liu, Xiaoxi, Busch, Alexander S., Helgason, Hannes, Thompson, Deborah J., Santoni, Federico, Petricek, Konstantin M., Zouaghi, Yassine, Huang-Doran, Isabel, Gudbjartsson, Daniel F., Bratland, Eirik, Lin, Kuang, Gardner, Eugene J., Zhao, Yajie, Jia, Raina Y., Terao, Chikashi, Riggan, Marjorie J., Bolla, Manjeet K., Yazdanpanah, Mojgan, Yazdanpanah, Nahid, Bradfield, Jonathan P., Broer, Linda, Campbell, Archie, Chasman, Daniel I., Cousminer, Diana L., Franceschini, Nora, Franke, Lude H., Girotto, Giorgia, He, Chunyan, Järvelin, Marjo-Riitta, Joshi, Peter K., Kamatani, Yoichiro, Karlsson, Robert, Luan, Jian’an, Lunetta, Kathryn L., Mägi, Reedik, Mangino, Massimo, Medland, Sarah E., Meisinger, Christa, Noordam, Raymond, Nutile, Teresa, Concas, Maria Pina, Polašek, Ozren, Porcu, Eleonora, Ring, Susan M., Sala, Cinzia, Smith, Albert V., Tanaka, Toshiko, van der Most, Peter J., Vitart, Veronique, Wang, Carol A., Willemsen, Gonneke, Zygmunt, Marek, Ahearn, Thomas U., Andrulis, Irene L., Anton-Culver, Hoda, Antoniou, Antonis C., Auer, Paul L., Barnes, Catriona L. K., Beckmann, Matthias W., Berrington de Gonzalez, Amy, Bogdanova, Natalia V., Bojesen, Stig E., Brenner, Hermann, Buring, Julie E., Canzian, Federico, Chang-Claude, Jenny, Couch, Fergus J., Cox, Angela, Crisponi, Laura, Czene, Kamila, Daly, Mary B., Demerath, Ellen W., Dennis, Joe, Devilee, Peter, De Vivo, Immaculata, Dörk, Thilo, Dunning, Alison M., Dwek, Miriam, Eriksson, Johan G., Fasching, Peter A., Fernandez-Rhodes, Lindsay, Ferreli, Liana, Fletcher, Olivia, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José A., González-Neira, Anna, Grallert, Harald, Guénel, Pascal, Haiman, Christopher A., Hall, Per, Hamann, Ute, Hakonarson, Hakon, Hart, Roger J., Hickey, Martha, Hooning, Maartje J., Hoppe, Reiner, Hopper, John L., Hottenga, Jouke-Jan, Hu, Frank B., Huebner, Hanna, Hunter, David J., Jernström, Helena, John, Esther M., Karasik, David, Khusnutdinova, Elza K., Kristensen, Vessela N., Lacey, James V., Lambrechts, Diether, Launer, Lenore J., Lind, Penelope A., Lindblom, Annika, Magnusson, Patrik K. E., Mannermaa, Arto, McCarthy, Mark I., Meitinger, Thomas, Menni, Cristina, Michailidou, Kyriaki, Millwood, Iona Y., Milne, Roger L., Montgomery, Grant W., Nevanlinna, Heli, Nolte, Ilja M., Nyholt, Dale R., Obi, Nadia, O’Brien, Katie M., Offit, Kenneth, Oldehinkel, Albertine J., Ostrowski, Sisse R., Palotie, Aarno, Pedersen, Ole B., Peters, Annette, Pianigiani, Giulia, Plaseska-Karanfilska, Dijana, Pouta, Anneli, Pozarickij, Alfred, Radice, Paolo, Rennert, Gad, Rosendaal, Frits R., Ruggiero, Daniela, Saloustros, Emmanouil, Sandler, Dale P., Schipf, Sabine, Schmidt, Carsten O., Schmidt, Marjanka K., Small, Kerrin, Spedicati, Beatrice, Stampfer, Meir, Stone, Jennifer, Tamimi, Rulla M., Teras, Lauren R., Tikkanen, Emmi, Turman, Constance, Vachon, Celine M., Wang, Qin, Winqvist, Robert, Wolk, Alicja, Zemel, Babette S., Zheng, Wei, van Dijk, Ko W., Alizadeh, Behrooz Z., Bandinelli, Stefania, Boerwinkle, Eric, Boomsma, Dorret I., Ciullo, Marina, Chenevix-Trench, Georgia, Cucca, Francesco, Esko, Tõnu, Gieger, Christian, Grant, Struan F. A., Gudnason, Vilmundur, Hayward, Caroline, Kolčić, Ivana, Kraft, Peter, Lawlor, Deborah A., Martin, Nicholas G., Nøhr, Ellen A., Pedersen, Nancy L., Pennell, Craig E., Ridker, Paul M., Robino, Antonietta, Snieder, Harold, Sovio, Ulla, Spector, Tim D., Stöckl, Doris, Sudlow, Cathie, Timpson, Nic J., Toniolo, Daniela, Uitterlinden, André, Ulivi, Sheila, Völzke, Henry, Wareham, Nicholas J., Widen, Elisabeth, Wilson, James F., Pharoah, Paul D. P., Li, Liming, Easton, Douglas F., Njølstad, Pål R., Sulem, Patrick, Murabito, Joanne M., Murray, Anna, Manousaki, Despoina, Juul, Anders, Erikstrup, Christian, Stefansson, Kari, Horikoshi, Momoko, Chen, Zhengming, Farooqi, I. Sadaf, Pitteloud, Nelly, Johansson, Stefan, Day, Felix R., Perry, John R. B., and Ong, Ken K.
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- 2024
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4. Improving on polygenic scores across complex traits using select and shrink with summary statistics (S4) and LDpred2
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Jonathan P. Tyrer, Pei-Chen Peng, Amber A. DeVries, Simon A. Gayther, Michelle R. Jones, and Paul D. Pharoah
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Polygenic scores ,Genome-wide association study (GWAS) ,Cross-ancestry ,Multiple phenotypes ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Background As precision medicine advances, polygenic scores (PGS) have become increasingly important for clinical risk assessment. Many methods have been developed to create polygenic models with increased accuracy for risk prediction. Our select and shrink with summary statistics (S4) PGS method has previously been shown to accurately predict the polygenic risk of epithelial ovarian cancer. Here, we applied S4 PGS to 12 phenotypes for UK Biobank participants, and compared it with the LDpred2 and a combined S4 + LDpred2 method. Results The S4 + LDpred2 method provided overall improved PGS accuracy across a variety of phenotypes for UK Biobank participants. Additionally, the S4 + LDpred2 method had the best estimated PGS accuracy in Finnish and Japanese populations. We also addressed the challenge of limited genotype level data by developing the PGS models using only GWAS summary statistics. Conclusions Taken together, the S4 + LDpred2 method represents an improvement in overall PGS accuracy across multiple phenotypes and populations.
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- 2024
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5. Improving on polygenic scores across complex traits using select and shrink with summary statistics (S4) and LDpred2
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Tyrer, Jonathan P., Peng, Pei-Chen, DeVries, Amber A., Gayther, Simon A., Jones, Michelle R., and Pharoah, Paul D.
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- 2024
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6. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes
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Chen, Zhishan, Guo, Xingyi, Tao, Ran, Huyghe, Jeroen R., Law, Philip J., Fernandez-Rozadilla, Ceres, Ping, Jie, Jia, Guochong, Long, Jirong, Li, Chao, Shen, Quanhu, Xie, Yuhan, Timofeeva, Maria N., Thomas, Minta, Schmit, Stephanie L., Díez-Obrero, Virginia, Devall, Matthew, Moratalla-Navarro, Ferran, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah E. W., Svinti, Victoria, Donnelly, Kevin, Farrington, Susan M., Blackmur, James, Vaughan-Shaw, Peter G., Shu, Xiao-Ou, Lu, Yingchang, Broderick, Peter, Studd, James, Harrison, Tabitha A., Conti, David V., Schumacher, Fredrick R., Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John L., Jenkins, Mark A., Win, Aung Ko, Pai, Rish K., Figueiredo, Jane C., Haile, Robert W., Gallinger, Steven, Woods, Michael O., Newcomb, Polly A., Duggan, David, Cheadle, Jeremy P., Kaplan, Richard, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Jukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri A., Rissanen, Harri, Pukkala, Eero, Eriksson, Johan G., Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie J., Ruiz-Narvaez, Edward, Palmer, Julie R., Buchanan, Daniel D., Platz, Elizabeth A., Visvanathan, Kala, Ulrich, Cornelia M., Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter T., Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha L., Potter, John D., Tsilidis, Kostas K., Schulze, Matthias B., Gunter, Marc J., Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Bishop, D. Timothy, Giles, Graham G., Southey, Melissa C., Idos, Gregory E., McDonnell, Kevin J., Abu-Ful, Zomoroda, Greenson, Joel K., Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope O., van Guelpen, Bethany, Hudson, Thomas J., Hampel, Heather, Pearlman, Rachel, Berndt, Sonja I., Hayes, Richard B., Martinez, Marie Elena, Thomas, Sushma S., Pharoah, Paul D. P., Larsson, Susanna C., Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly F., Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew T., Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David J., Joshi, Amit D., Schafmayer, Clemens, Scacheri, Peter C., Kundaje, Anshul, Schoen, Robert E., Hampe, Jochen, Stadler, Zsofia K., Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Edlund, Christopher K., Gauderman, W. James, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen J., van Duijnhoven, Franzel, Feskens, Edith J. M., Sakoda, Lori C., Gago-Dominguez, Manuela, Wolk, Alicja, Pardini, Barbara, FitzGerald, Liesel M., Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie A., Kooperberg, Charles, Li, Christopher I., Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Le Marchand, Loic, Wu, Anna H., Qu, Chenxu, McNeil, Caroline E., Coetzee, Gerhard, Hayward, Caroline, Deary, Ian J., Harris, Sarah E., Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Lau, Ken S., Zhao, Hongyu, Hsu, Li, Cai, Qiuyin, Dunlop, Malcolm G., Gruber, Stephen B., Houlston, Richard S., Moreno, Victor, Casey, Graham, Peters, Ulrike, Tomlinson, Ian, and Zheng, Wei
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- 2024
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7. Genome-wide association analyses of ovarian cancer patients undergoing primary debulking surgery identify candidate genes for residual disease
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Ramachandran, Dhanya, Tyrer, Jonathan P., Kommoss, Stefan, DeFazio, Anna, Riggan, Marjorie J., Webb, Penelope M., Fasching, Peter A., Lambrechts, Diether, García, María J., Rodríguez-Antona, Cristina, Goodman, Marc T., Modugno, Francesmary, Moysich, Kirsten B., Karlan, Beth Y., Lester, Jenny, Kjaer, Susanne K., Jensen, Allan, Høgdall, Estrid, Goode, Ellen L., Cliby, William A., Kumar, Amanika, Wang, Chen, Cunningham, Julie M., Winham, Stacey J., Monteiro, Alvaro N., Schildkraut, Joellen M., Cramer, Daniel W., Terry, Kathryn L., Titus, Linda, Bjorge, Line, Thomsen, Liv Cecilie Vestrheim, Pejovic, Tanja, Høgdall, Claus K., McNeish, Iain A., May, Taymaa, Huntsman, David G., Pfisterer, Jacobus, Canzler, Ulrich, Park-Simon, Tjoung-Won, Schröder, Willibald, Belau, Antje, Hanker, Lars, Harter, Philipp, Sehouli, Jalid, Kimmig, Rainer, de Gregorio, Nikolaus, Schmalfeldt, Barbara, Baumann, Klaus, Hilpert, Felix, Burges, Alexander, Winterhoff, Boris, Schürmann, Peter, Speith, Lisa-Marie, Hillemanns, Peter, Berchuck, Andrew, Johnatty, Sharon E., Ramus, Susan J., Chenevix-Trench, Georgia, Pharoah, Paul D. P., Dörk, Thilo, and Heitz, Florian
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- 2024
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8. Expression of transglutaminase-2 (TGM2) in the prognosis of female invasive breast cancer
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Blows, Fiona M., Ali, H. Raza, Cope, Wei, Pharoah, Paul D. P., Pike, Claire V. S., Provenzano, Elena, and Coussons, Peter
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- 2024
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9. An updated PREDICT breast cancer prognostic model including the benefits and harms of radiotherapy
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Grootes, Isabelle, Wishart, Gordon C., and Pharoah, Paul David Peter
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- 2024
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10. Allometric versus traditional body-shape indices and risk of colorectal cancer: a Mendelian randomization analysis
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Rontogianni, Marina O., Bouras, Emmanouil, Aglago, Elom Kouassivi, Freisling, Heinz, Murphy, Neil, Cotterchio, Michelle, Hampe, Jochen, Lindblom, Annika, Pai, Rish K., Pharoah, Paul D. P., Phipps, Amanda I., van Duijnhoven, Franzel J. B., Visvanathan, Kala, van Guelpen, Bethany, Li, Christopher I., Brenner, Hermann, Pellatt, Andrew J., Ogino, Shuji, Gunter, Marc J., Peters, Ulrike, Christakoudi, Sofia, and Tsilidis, Konstantinos K.
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- 2024
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11. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes
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Zhishan Chen, Xingyi Guo, Ran Tao, Jeroen R. Huyghe, Philip J. Law, Ceres Fernandez-Rozadilla, Jie Ping, Guochong Jia, Jirong Long, Chao Li, Quanhu Shen, Yuhan Xie, Maria N. Timofeeva, Minta Thomas, Stephanie L. Schmit, Virginia Díez-Obrero, Matthew Devall, Ferran Moratalla-Navarro, Juan Fernandez-Tajes, Claire Palles, Kitty Sherwood, Sarah E. W. Briggs, Victoria Svinti, Kevin Donnelly, Susan M. Farrington, James Blackmur, Peter G. Vaughan-Shaw, Xiao-Ou Shu, Yingchang Lu, Peter Broderick, James Studd, Tabitha A. Harrison, David V. Conti, Fredrick R. Schumacher, Marilena Melas, Gad Rennert, Mireia Obón-Santacana, Vicente Martín-Sánchez, Jae Hwan Oh, Jeongseon Kim, Sun Ha Jee, Keum Ji Jung, Sun-Seog Kweon, Min-Ho Shin, Aesun Shin, Yoon-Ok Ahn, Dong-Hyun Kim, Isao Oze, Wanqing Wen, Keitaro Matsuo, Koichi Matsuda, Chizu Tanikawa, Zefang Ren, Yu-Tang Gao, Wei-Hua Jia, John L. Hopper, Mark A. Jenkins, Aung Ko Win, Rish K. Pai, Jane C. Figueiredo, Robert W. Haile, Steven Gallinger, Michael O. Woods, Polly A. Newcomb, David Duggan, Jeremy P. Cheadle, Richard Kaplan, Rachel Kerr, David Kerr, Iva Kirac, Jan Böhm, Jukka-Pekka Mecklin, Pekka Jousilahti, Paul Knekt, Lauri A. Aaltonen, Harri Rissanen, Eero Pukkala, Johan G. Eriksson, Tatiana Cajuso, Ulrika Hänninen, Johanna Kondelin, Kimmo Palin, Tomas Tanskanen, Laura Renkonen-Sinisalo, Satu Männistö, Demetrius Albanes, Stephanie J. Weinstein, Edward Ruiz-Narvaez, Julie R. Palmer, Daniel D. Buchanan, Elizabeth A. Platz, Kala Visvanathan, Cornelia M. Ulrich, Erin Siegel, Stefanie Brezina, Andrea Gsur, Peter T. Campbell, Jenny Chang-Claude, Michael Hoffmeister, Hermann Brenner, Martha L. Slattery, John D. Potter, Kostas K. Tsilidis, Matthias B. Schulze, Marc J. Gunter, Neil Murphy, Antoni Castells, Sergi Castellví-Bel, Leticia Moreira, Volker Arndt, Anna Shcherbina, D. Timothy Bishop, Graham G. Giles, Melissa C. Southey, Gregory E. Idos, Kevin J. McDonnell, Zomoroda Abu-Ful, Joel K. Greenson, Katerina Shulman, Flavio Lejbkowicz, Kenneth Offit, Yu-Ru Su, Robert Steinfelder, Temitope O. Keku, Bethany van Guelpen, Thomas J. Hudson, Heather Hampel, Rachel Pearlman, Sonja I. Berndt, Richard B. Hayes, Marie Elena Martinez, Sushma S. Thomas, Paul D. P. Pharoah, Susanna C. Larsson, Yun Yen, Heinz-Josef Lenz, Emily White, Li Li, Kimberly F. Doheny, Elizabeth Pugh, Tameka Shelford, Andrew T. Chan, Marcia Cruz-Correa, Annika Lindblom, David J. Hunter, Amit D. Joshi, Clemens Schafmayer, Peter C. Scacheri, Anshul Kundaje, Robert E. Schoen, Jochen Hampe, Zsofia K. Stadler, Pavel Vodicka, Ludmila Vodickova, Veronika Vymetalkova, Christopher K. Edlund, W. James Gauderman, David Shibata, Amanda Toland, Sanford Markowitz, Andre Kim, Stephen J. Chanock, Franzel van Duijnhoven, Edith J. M. Feskens, Lori C. Sakoda, Manuela Gago-Dominguez, Alicja Wolk, Barbara Pardini, Liesel M. FitzGerald, Soo Chin Lee, Shuji Ogino, Stephanie A. Bien, Charles Kooperberg, Christopher I. Li, Yi Lin, Ross Prentice, Conghui Qu, Stéphane Bézieau, Taiki Yamaji, Norie Sawada, Motoki Iwasaki, Loic Le Marchand, Anna H. Wu, Chenxu Qu, Caroline E. McNeil, Gerhard Coetzee, Caroline Hayward, Ian J. Deary, Sarah E. Harris, Evropi Theodoratou, Stuart Reid, Marion Walker, Li Yin Ooi, Ken S. Lau, Hongyu Zhao, Li Hsu, Qiuyin Cai, Malcolm G. Dunlop, Stephen B. Gruber, Richard S. Houlston, Victor Moreno, Graham Casey, Ulrike Peters, Ian Tomlinson, and Wei Zheng
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Science - Abstract
Abstract Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development.
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- 2024
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12. Genome-wide association analyses of ovarian cancer patients undergoing primary debulking surgery identify candidate genes for residual disease
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Dhanya Ramachandran, Jonathan P. Tyrer, Stefan Kommoss, Anna DeFazio, Marjorie J. Riggan, AOCS Group, Penelope M. Webb, Peter A. Fasching, Diether Lambrechts, María J. García, Cristina Rodríguez-Antona, Marc T. Goodman, Francesmary Modugno, Kirsten B. Moysich, Beth Y. Karlan, Jenny Lester, Susanne K. Kjaer, Allan Jensen, Estrid Høgdall, Ellen L. Goode, William A. Cliby, Amanika Kumar, Chen Wang, Julie M. Cunningham, Stacey J. Winham, Alvaro N. Monteiro, Joellen M. Schildkraut, Daniel W. Cramer, Kathryn L. Terry, Linda Titus, Line Bjorge, Liv Cecilie Vestrheim Thomsen, OPAL Study Group, Tanja Pejovic, Claus K. Høgdall, Iain A. McNeish, Taymaa May, David G. Huntsman, Jacobus Pfisterer, Ulrich Canzler, Tjoung-Won Park-Simon, Willibald Schröder, Antje Belau, Lars Hanker, Philipp Harter, Jalid Sehouli, Rainer Kimmig, Nikolaus de Gregorio, Barbara Schmalfeldt, Klaus Baumann, Felix Hilpert, Alexander Burges, Boris Winterhoff, Peter Schürmann, Lisa-Marie Speith, Peter Hillemanns, Andrew Berchuck, Sharon E. Johnatty, Susan J. Ramus, Georgia Chenevix-Trench, Paul D. P. Pharoah, Thilo Dörk, and Florian Heitz
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Medicine ,Genetics ,QH426-470 - Abstract
Abstract Survival from ovarian cancer depends on the resection status after primary surgery. We performed genome-wide association analyses for resection status of 7705 ovarian cancer patients, including 4954 with high-grade serous carcinoma (HGSOC), to identify variants associated with residual disease. The most significant association with resection status was observed for rs72845444, upstream of MGMT, in HGSOC (p = 3.9 × 10−8). In gene-based analyses, PPP2R5C was the most strongly associated gene in HGSOC after stage adjustment. In an independent set of 378 ovarian tumours from the AGO-OVAR 11 study, variants near MGMT and PPP2R5C correlated with methylation and transcript levels, and PPP2R5C mRNA levels predicted progression-free survival in patients with residual disease. MGMT encodes a DNA repair enzyme, and PPP2R5C encodes the B56γ subunit of the PP2A tumour suppressor. Our results link heritable variation at these two loci with resection status in HGSOC.
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- 2024
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13. An updated PREDICT breast cancer prognostic model including the benefits and harms of radiotherapy
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Isabelle Grootes, Gordon C. Wishart, and Paul David Peter Pharoah
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract PREDICT Breast ( www.breast .predict.nhs.uk ) is a prognostication tool for early invasive breast cancer. The current version was based on cases diagnosed in 1999–2003 and did not incorporate the benefits of radiotherapy or the harms associated with therapy. Since then, there has been a substantial improvement in the outcomes for breast cancer cases. The aim of this study was to update PREDICT Breast to ensure that the underlying model is appropriate for contemporary patients. Data from the England National Cancer Registration and Advisory Service for invasive breast cancer cases diagnosed 2000–17 were used for model development and validation. Model development was based on 35,474 cases diagnosed and registered by the Eastern Cancer Registry. A Cox model was used to estimate the prognostic effects of the year of diagnosis, age at diagnosis, tumour size, tumour grade and number of positive nodes. Separate models were developed for ER-positive and ER-negative disease. Data on 32,408 cases from the West Midlands Cancer Registry and 100,551 cases from other cancer registries were used for validation. The new model was well-calibrated; predicted breast cancer deaths at 5-, 10- and 15-year were within 10 per cent of the observed validation data. Discrimination was also good: The AUC for 15-year breast cancer survival was 0.809 in the West Midlands data set and 0.846 in the data set for the other registries. The new PREDICT Breast model outperformed the current model and will be implemented in the online tool which should lead to more accurate absolute treatment benefit predictions for individual patients.
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- 2024
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14. Polymorphisms in genes of melatonin biosynthesis and signaling support the light-at-night hypothesis for breast cancer
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Wichert, Katharina, Hoppe, Reiner, Ickstadt, Katja, Behrens, Thomas, Winter, Stefan, Herold, Robert, Terschüren, Claudia, Lo, Wing-Yee, Guénel, Pascal, Truong, Thérèse, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Lush, Michael, Andrulis, Irene L., Brenner, Hermann, Chang-Claude, Jenny, Cox, Angela, Cross, Simon S., Czene, Kamila, Eriksson, Mikael, Figueroa, Jonine D., García-Closas, Montserrat, Goldberg, Mark S., Hamann, Ute, He, Wei, Holleczek, Bernd, Hopper, John L., Jakubowska, Anna, Ko, Yon-Dschun, Lubiński, Jan, Mulligan, Anna Marie, Obi, Nadia, Rhenius, Valerie, Shah, Mitul, Shu, Xiao-Ou, Simard, Jacques, Southey, Melissa C., Zheng, Wei, Dunning, Alison M., Pharoah, Paul D. P., Hall, Per, Easton, Douglas F., Brüning, Thomas, Brauch, Hiltrud, Harth, Volker, and Rabstein, Sylvia
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- 2023
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15. Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer risk
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Wilcox, Naomi, Dumont, Martine, González-Neira, Anna, Carvalho, Sara, Joly Beauparlant, Charles, Crotti, Marco, Luccarini, Craig, Soucy, Penny, Dubois, Stéphane, Nuñez-Torres, Rocio, Pita, Guillermo, Gardner, Eugene J., Dennis, Joe, Alonso, M. Rosario, Álvarez, Nuria, Baynes, Caroline, Collin-Deschesnes, Annie Claude, Desjardins, Sylvie, Becher, Heiko, Behrens, Sabine, Bolla, Manjeet K., Castelao, Jose E., Chang-Claude, Jenny, Cornelissen, Sten, Dörk, Thilo, Engel, Christoph, Gago-Dominguez, Manuela, Guénel, Pascal, Hadjisavvas, Andreas, Hahnen, Eric, Hartman, Mikael, Herráez, Belén, Jung, Audrey, Keeman, Renske, Kiechle, Marion, Li, Jingmei, Loizidou, Maria A., Lush, Michael, Michailidou, Kyriaki, Panayiotidis, Mihalis I., Sim, Xueling, Teo, Soo Hwang, Tyrer, Jonathan P., van der Kolk, Lizet E., Wahlström, Cecilia, Wang, Qin, Perry, John R. B., Benitez, Javier, Schmidt, Marjanka K., Schmutzler, Rita K., Pharoah, Paul D. P., Droit, Arnaud, Dunning, Alison M., Kvist, Anders, Devilee, Peter, Easton, Douglas F., and Simard, Jacques
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- 2023
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16. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations
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Thomas, Minta, Su, Yu-Ru, Rosenthal, Elisabeth A., Sakoda, Lori C., Schmit, Stephanie L., Timofeeva, Maria N., Chen, Zhishan, Fernandez-Rozadilla, Ceres, Law, Philip J., Murphy, Neil, Carreras-Torres, Robert, Diez-Obrero, Virginia, van Duijnhoven, Franzel J. B., Jiang, Shangqing, Shin, Aesun, Wolk, Alicja, Phipps, Amanda I., Burnett-Hartman, Andrea, Gsur, Andrea, Chan, Andrew T., Zauber, Ann G., Wu, Anna H., Lindblom, Annika, Um, Caroline Y., Tangen, Catherine M., Gignoux, Chris, Newton, Christina, Haiman, Christopher A., Qu, Conghui, Bishop, D. Timothy, Buchanan, Daniel D., Crosslin, David R., Conti, David V., Kim, Dong-Hyun, Hauser, Elizabeth, White, Emily, Siegel, Erin, Schumacher, Fredrick R., Rennert, Gad, Giles, Graham G., Hampel, Heather, Brenner, Hermann, Oze, Isao, Oh, Jae Hwan, Lee, Jeffrey K., Schneider, Jennifer L., Chang-Claude, Jenny, Kim, Jeongseon, Huyghe, Jeroen R., Zheng, Jiayin, Hampe, Jochen, Greenson, Joel, Hopper, John L., Palmer, Julie R., Visvanathan, Kala, Matsuo, Keitaro, Matsuda, Koichi, Jung, Keum Ji, Li, Li, Le Marchand, Loic, Vodickova, Ludmila, Bujanda, Luis, Gunter, Marc J., Matejcic, Marco, Jenkins, Mark A., Slattery, Martha L., D’Amato, Mauro, Wang, Meilin, Hoffmeister, Michael, Woods, Michael O., Kim, Michelle, Song, Mingyang, Iwasaki, Motoki, Du, Mulong, Udaltsova, Natalia, Sawada, Norie, Vodicka, Pavel, Campbell, Peter T., Newcomb, Polly A., Cai, Qiuyin, Pearlman, Rachel, Pai, Rish K., Schoen, Robert E., Steinfelder, Robert S., Haile, Robert W., Vandenputtelaar, Rosita, Prentice, Ross L., Küry, Sébastien, Castellví-Bel, Sergi, Tsugane, Shoichiro, Berndt, Sonja I., Lee, Soo Chin, Brezina, Stefanie, Weinstein, Stephanie J., Chanock, Stephen J., Jee, Sun Ha, Kweon, Sun-Seog, Vadaparampil, Susan, Harrison, Tabitha A., Yamaji, Taiki, Keku, Temitope O., Vymetalkova, Veronika, Arndt, Volker, Jia, Wei-Hua, Shu, Xiao-Ou, Lin, Yi, Ahn, Yoon-Ok, Stadler, Zsofia K., Van Guelpen, Bethany, Ulrich, Cornelia M., Platz, Elizabeth A., Potter, John D., Li, Christopher I., Meester, Reinier, Moreno, Victor, Figueiredo, Jane C., Casey, Graham, Lansdorp Vogelaar, Iris, Dunlop, Malcolm G., Gruber, Stephen B., Hayes, Richard B., Pharoah, Paul D. P., Houlston, Richard S., Jarvik, Gail P., Tomlinson, Ian P., Zheng, Wei, Corley, Douglas A., Peters, Ulrike, and Hsu, Li
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- 2023
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17. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry
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Middha, Pooja, Wang, Xiaoliang, Behrens, Sabine, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Ahearn, Thomas U., Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Auer, Paul L., Augustinsson, Annelie, Baert, Thaïs, Freeman, Laura E. Beane, Becher, Heiko, Beckmann, Matthias W., Benitez, Javier, Bojesen, Stig E., Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Campa, Daniele, Canzian, Federico, Carracedo, Angel, Castelao, Jose E., Chanock, Stephen J., Chenevix-Trench, Georgia, Cordina-Duverger, Emilie, Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Dossus, Laure, Dugué, Pierre-Antoine, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine D., Fletcher, Olivia, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, Giles, Graham G., González-Neira, Anna, Grassmann, Felix, Grundy, Anne, Guénel, Pascal, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Hamann, Ute, Hankinson, Susan E., Harkness, Elaine F., Holleczek, Bernd, Hoppe, Reiner, Hopper, John L., Houlston, Richard S., Howell, Anthony, Hunter, David J., Ingvar, Christian, Isaksson, Karolin, Jernström, Helena, John, Esther M., Jones, Michael E., Kaaks, Rudolf, Keeman, Renske, Kitahara, Cari M., Ko, Yon-Dschun, Koutros, Stella, Kurian, Allison W., Lacey, James V., Lambrechts, Diether, Larson, Nicole L., Larsson, Susanna, Le Marchand, Loic, Lejbkowicz, Flavio, Li, Shuai, Linet, Martha, Lissowska, Jolanta, Martinez, Maria Elena, Maurer, Tabea, Mulligan, Anna Marie, Mulot, Claire, Murphy, Rachel A., Newman, William G., Nielsen, Sune F., Nordestgaard, Børge G., Norman, Aaron, O’Brien, Katie M., Olson, Janet E., Patel, Alpa V., Prentice, Ross, Rees-Punia, Erika, Rennert, Gad, Rhenius, Valerie, Ruddy, Kathryn J., Sandler, Dale P., Scott, Christopher G., Shah, Mitul, Shu, Xiao-Ou, Smeets, Ann, Southey, Melissa C., Stone, Jennifer, Tamimi, Rulla M., Taylor, Jack A., Teras, Lauren R., Tomczyk, Katarzyna, Troester, Melissa A., Truong, Thérèse, Vachon, Celine M., Wang, Sophia S., Weinberg, Clarice R., Wildiers, Hans, Willett, Walter, Winham, Stacey J., Wolk, Alicja, Yang, Xiaohong R., Zamora, M. Pilar, Zheng, Wei, Ziogas, Argyrios, Dunning, Alison M., Pharoah, Paul D. P., García-Closas, Montserrat, Schmidt, Marjanka K., Kraft, Peter, Milne, Roger L., Lindström, Sara, Easton, Douglas F., and Chang-Claude, Jenny
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- 2023
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18. Evaluation and comparison of different breast cancer prognosis scores based on gene expression data
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Chowdhury, Avirup, Pharoah, Paul D., and Rueda, Oscar M.
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- 2023
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19. PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants
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Muranen, Taru A., Morra, Anna, Khan, Sofia, Barnes, Daniel R., Bolla, Manjeet K., Dennis, Joe, Keeman, Renske, Leslie, Goska, Parsons, Michael T., Wang, Qin, Ahearn, Thomas U., Aittomäki, Kristiina, Andrulis, Irene L., Arun, Banu K., Behrens, Sabine, Bialkowska, Katarzyna, Bojesen, Stig E., Camp, Nicola J., Chang-Claude, Jenny, Czene, Kamila, Devilee, Peter, Domchek, Susan M., Dunning, Alison M., Engel, Christoph, Evans, D. Gareth, Gago-Dominguez, Manuela, García-Closas, Montserrat, Gerdes, Anne-Marie, Glendon, Gord, Guénel, Pascal, Hahnen, Eric, Hamann, Ute, Hanson, Helen, Hooning, Maartje J., Hoppe, Reiner, Izatt, Louise, Jakubowska, Anna, James, Paul A., Kristensen, Vessela N., Lalloo, Fiona, Lindeman, Geoffrey J., Mannermaa, Arto, Margolin, Sara, Neuhausen, Susan L., Newman, William G., Peterlongo, Paolo, Phillips, Kelly-Anne, Pujana, Miquel Angel, Rantala, Johanna, Rønlund, Karina, Saloustros, Emmanouil, Schmutzler, Rita K., Schneeweiss, Andreas, Singer, Christian F., Suvanto, Maija, Tan, Yen Yen, Teixeira, Manuel R., Thomassen, Mads, Tischkowitz, Marc, Tripathi, Vishakha, Wappenschmidt, Barbara, Zhao, Emily, Easton, Douglas F., Antoniou, Antonis C., Chenevix-Trench, Georgia, Pharoah, Paul D. P., Schmidt, Marjanka K., Blomqvist, Carl, and Nevanlinna, Heli
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- 2023
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20. Risks of second non-breast primaries following breast cancer in women: a systematic review and meta-analysis
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Allen, Isaac, Hassan, Hend, Sofianopoulou, Eleni, Eccles, Diana, Turnbull, Clare, Tischkowitz, Marc, Pharoah, Paul, and Antoniou, Antonis C.
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- 2023
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21. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry
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Mueller, Stefanie H., Lai, Alvina G., Valkovskaya, Maria, Michailidou, Kyriaki, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Lush, Michael, Abu-Ful, Zomoruda, Ahearn, Thomas U., Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Arndt, Volker, Aronson, Kristan J., Augustinsson, Annelie, Baert, Thais, Freeman, Laura E. Beane, Beckmann, Matthias W., Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bogdanova, Natalia V., Bojesen, Stig E., Bonanni, Bernardo, Brenner, Hermann, Brucker, Sara Y., Buys, Saundra S., Castelao, Jose E., Chan, Tsun L., Chang-Claude, Jenny, Chanock, Stephen J., Choi, Ji-Yeob, Chung, Wendy K., Colonna, Sarah V., Cornelissen, Sten, Couch, Fergus J., Czene, Kamila, Daly, Mary B., Devilee, Peter, Dörk, Thilo, Dossus, Laure, Dwek, Miriam, Eccles, Diana M., Ekici, Arif B., Eliassen, A. Heather, Engel, Christoph, Evans, D. Gareth, Fasching, Peter A., Fletcher, Olivia, Flyger, Henrik, Gago-Dominguez, Manuela, Gao, Yu-Tang, García-Closas, Montserrat, García-Sáenz, José A., Genkinger, Jeanine, Gentry-Maharaj, Aleksandra, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Haeberle, Lothar, Hahnen, Eric, Haiman, Christopher A., Håkansson, Niclas, Hall, Per, Harkness, Elaine F., Harrington, Patricia A., Hartikainen, Jaana M., Hartman, Mikael, Hein, Alexander, Ho, Weang-Kee, Hooning, Maartje J., Hoppe, Reiner, Hopper, John L., Houlston, Richard S., Howell, Anthony, Hunter, David J., Huo, Dezheng, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Janni, Wolfgang, John, Esther M., Jones, Michael E., Jung, Audrey, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K., Kim, Sung-Won, Kitahara, Cari M., Koutros, Stella, Kraft, Peter, Kristensen, Vessela N., Kubelka-Sabit, Katerina, Kurian, Allison W., Kwong, Ava, Lacey, James V., Lambrechts, Diether, Le Marchand, Loic, Li, Jingmei, Linet, Martha, Lo, Wing-Yee, Long, Jirong, Lophatananon, Artitaya, Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Mavroudis, Dimitrios, Menon, Usha, Muir, Kenneth, Murphy, Rachel A., Nevanlinna, Heli, Newman, William G., Niederacher, Dieter, O’Brien, Katie M., Obi, Nadia, Offit, Kenneth, Olopade, Olufunmilayo I., Olshan, Andrew F., Olsson, Håkan, Park, Sue K., Patel, Alpa V., Patel, Achal, Perou, Charles M., Peto, Julian, Pharoah, Paul D. P., Plaseska-Karanfilska, Dijana, Presneau, Nadege, Rack, Brigitte, Radice, Paolo, Ramachandran, Dhanya, Rashid, Muhammad U., Rennert, Gad, Romero, Atocha, Ruddy, Kathryn J., Ruebner, Matthias, Saloustros, Emmanouil, Sandler, Dale P., Sawyer, Elinor J., Schmidt, Marjanka K., Schmutzler, Rita K., Schneider, Michael O., Scott, Christopher, Shah, Mitul, Sharma, Priyanka, Shen, Chen-Yang, Shu, Xiao-Ou, Simard, Jacques, Surowy, Harald, Tamimi, Rulla M., Tapper, William J., Taylor, Jack A., Teo, Soo Hwang, Teras, Lauren R., Toland, Amanda E., Tollenaar, Rob A. E. M., Torres, Diana, Torres-Mejía, Gabriela, Troester, Melissa A., Truong, Thérèse, Vachon, Celine M., Vijai, Joseph, Weinberg, Clarice R., Wendt, Camilla, Winqvist, Robert, Wolk, Alicja, Wu, Anna H., Yamaji, Taiki, Yang, Xiaohong R., Yu, Jyh-Cherng, Zheng, Wei, Ziogas, Argyrios, Ziv, Elad, Dunning, Alison M., Easton, Douglas F., Hemingway, Harry, Hamann, Ute, and Kuchenbaecker, Karoline B.
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- 2023
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22. Risks of second primary cancers among 584,965 female and male breast cancer survivors in England: a 25-year retrospective cohort studyResearch in context
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Isaac Allen, Hend Hassan, Walburga Yvonne Joko-Fru, Catherine Huntley, Lucy Loong, Tameera Rahman, Bethany Torr, Andrew Bacon, Craig Knott, Sophie Jose, Sally Vernon, Margreet Lüchtenborg, Joanna Pethick, Katrina Lavelle, Fiona McRonald, Diana Eccles, Eva J.A Morris, Steven Hardy, Clare Turnbull, Marc Tischkowitz, Paul Pharoah, and Antonis C. Antoniou
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Breast cancer ,Second primary cancer ,Risk ,Incidence ,Treatment ,Pathology ,Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: Second primary cancers (SPCs) after breast cancer (BC) present an increasing public health burden, with little existing research on socio-demographic, tumour, and treatment effects. We addressed this in the largest BC survivor cohort to date, using a novel linkage of National Disease Registration Service datasets. Methods: The cohort included 581,403 female and 3562 male BC survivors diagnosed between 1995 and 2019. We estimated standardized incidence ratios (SIRs) for combined and site-specific SPCs using incidences for England, overall and by age at BC and socioeconomic status. We estimated incidences and Kaplan–Meier cumulative risks stratified by age at BC, and assessed risk variation by socio-demographic, tumour, and treatment characteristics using Cox regression. Findings: Both genders were at elevated contralateral breast (SIR: 2.02 (95% CI: 1.99–2.06) females; 55.4 (35.5–82.4) males) and non-breast (1.10 (1.09–1.11) females, 1.10 (1.00–1.20) males) SPC risks. Non-breast SPC risks were higher for females younger at BC diagnosis (SIR: 1.34 (1.31–1.38)
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- 2024
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23. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations
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Minta Thomas, Yu-Ru Su, Elisabeth A. Rosenthal, Lori C. Sakoda, Stephanie L. Schmit, Maria N. Timofeeva, Zhishan Chen, Ceres Fernandez-Rozadilla, Philip J. Law, Neil Murphy, Robert Carreras-Torres, Virginia Diez-Obrero, Franzel J. B. van Duijnhoven, Shangqing Jiang, Aesun Shin, Alicja Wolk, Amanda I. Phipps, Andrea Burnett-Hartman, Andrea Gsur, Andrew T. Chan, Ann G. Zauber, Anna H. Wu, Annika Lindblom, Caroline Y. Um, Catherine M. Tangen, Chris Gignoux, Christina Newton, Christopher A. Haiman, Conghui Qu, D. Timothy Bishop, Daniel D. Buchanan, David R. Crosslin, David V. Conti, Dong-Hyun Kim, Elizabeth Hauser, Emily White, Erin Siegel, Fredrick R. Schumacher, Gad Rennert, Graham G. Giles, Heather Hampel, Hermann Brenner, Isao Oze, Jae Hwan Oh, Jeffrey K. Lee, Jennifer L. Schneider, Jenny Chang-Claude, Jeongseon Kim, Jeroen R. Huyghe, Jiayin Zheng, Jochen Hampe, Joel Greenson, John L. Hopper, Julie R. Palmer, Kala Visvanathan, Keitaro Matsuo, Koichi Matsuda, Keum Ji Jung, Li Li, Loic Le Marchand, Ludmila Vodickova, Luis Bujanda, Marc J. Gunter, Marco Matejcic, Mark A. Jenkins, Martha L. Slattery, Mauro D’Amato, Meilin Wang, Michael Hoffmeister, Michael O. Woods, Michelle Kim, Mingyang Song, Motoki Iwasaki, Mulong Du, Natalia Udaltsova, Norie Sawada, Pavel Vodicka, Peter T. Campbell, Polly A. Newcomb, Qiuyin Cai, Rachel Pearlman, Rish K. Pai, Robert E. Schoen, Robert S. Steinfelder, Robert W. Haile, Rosita Vandenputtelaar, Ross L. Prentice, Sébastien Küry, Sergi Castellví-Bel, Shoichiro Tsugane, Sonja I. Berndt, Soo Chin Lee, Stefanie Brezina, Stephanie J. Weinstein, Stephen J. Chanock, Sun Ha Jee, Sun-Seog Kweon, Susan Vadaparampil, Tabitha A. Harrison, Taiki Yamaji, Temitope O. Keku, Veronika Vymetalkova, Volker Arndt, Wei-Hua Jia, Xiao-Ou Shu, Yi Lin, Yoon-Ok Ahn, Zsofia K. Stadler, Bethany Van Guelpen, Cornelia M. Ulrich, Elizabeth A. Platz, John D. Potter, Christopher I. Li, Reinier Meester, Victor Moreno, Jane C. Figueiredo, Graham Casey, Iris Lansdorp Vogelaar, Malcolm G. Dunlop, Stephen B. Gruber, Richard B. Hayes, Paul D. P. Pharoah, Richard S. Houlston, Gail P. Jarvik, Ian P. Tomlinson, Wei Zheng, Douglas A. Corley, Ulrike Peters, and Li Hsu
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Science - Abstract
Abstract Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values
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- 2023
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24. Probing the diabetes and colorectal cancer relationship using gene – environment interaction analyses
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Dimou, Niki, Kim, Andre E., Flanagan, Orlagh, Murphy, Neil, Diez-Obrero, Virginia, Shcherbina, Anna, Aglago, Elom K., Bouras, Emmanouil, Campbell, Peter T., Casey, Graham, Gallinger, Steven, Gruber, Stephen B., Jenkins, Mark A., Lin, Yi, Moreno, Victor, Ruiz-Narvaez, Edward, Stern, Mariana C., Tian, Yu, Tsilidis, Kostas K., Arndt, Volker, Barry, Elizabeth L., Baurley, James W., Berndt, Sonja I., Bézieau, Stéphane, Bien, Stephanie A., Bishop, D. Timothy, Brenner, Hermann, Budiarto, Arif, Carreras-Torres, Robert, Cenggoro, Tjeng Wawan, Chan, Andrew T., Chang-Claude, Jenny, Chanock, Stephen J., Chen, Xuechen, Conti, David V., Dampier, Christopher H., Devall, Matthew, Drew, David A., Figueiredo, Jane C., Giles, Graham G., Gsur, Andrea, Harrison, Tabitha A., Hidaka, Akihisa, Hoffmeister, Michael, Huyghe, Jeroen R., Jordahl, Kristina, Kawaguchi, Eric, Keku, Temitope O., Larsson, Susanna C., Le Marchand, Loic, Lewinger, Juan Pablo, Li, Li, Mahesworo, Bharuno, Morrison, John, Newcomb, Polly A., Newton, Christina C., Obon-Santacana, Mireia, Ose, Jennifer, Pai, Rish K., Palmer, Julie R., Papadimitriou, Nikos, Pardamean, Bens, Peoples, Anita R., Pharoah, Paul D. P., Platz, Elizabeth A., Potter, John D., Rennert, Gad, Scacheri, Peter C., Schoen, Robert E., Su, Yu-Ru, Tangen, Catherine M., Thibodeau, Stephen N., Thomas, Duncan C., Ulrich, Cornelia M., Um, Caroline Y., van Duijnhoven, Franzel J. B., Visvanathan, Kala, Vodicka, Pavel, Vodickova, Ludmila, White, Emily, Wolk, Alicja, Woods, Michael O., Qu, Conghui, Kundaje, Anshul, Hsu, Li, Gauderman, W. James, Gunter, Marc J., and Peters, Ulrike
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- 2023
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25. Genetically proxied glucose-lowering drug target perturbation and risk of cancer: a Mendelian randomisation analysis
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Yarmolinsky, James, Bouras, Emmanouil, Constantinescu, Andrei, Burrows, Kimberley, Bull, Caroline J., Vincent, Emma E., Martin, Richard M., Dimopoulou, Olympia, Lewis, Sarah J., Moreno, Victor, Vujkovic, Marijana, Chang, Kyong-Mi, Voight, Benjamin F., Tsao, Philip S., Gunter, Marc J., Hampe, Jochen, Pellatt, Andrew J., Pharoah, Paul D. P., Schoen, Robert E., Gallinger, Steven, Jenkins, Mark A., Pai, Rish K., Gill, Dipender, and Tsilidis, Kostas K.
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- 2023
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26. FANCM missense variants and breast cancer risk: a case-control association study of 75,156 European women
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Figlioli, Gisella, Billaud, Amandine, Ahearn, Thomas U., Antonenkova, Natalia N., Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blok, Marinus J., Bogdanova, Natalia V., Bonanni, Bernardo, Burwinkel, Barbara, Camp, Nicola J., Campbell, Archie, Castelao, Jose E., Cessna, Melissa H., Chanock, Stephen J., Czene, Kamila, Devilee, Peter, Dörk, Thilo, Engel, Christoph, Eriksson, Mikael, Fasching, Peter A., Figueroa, Jonine D., Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, González-Neira, Anna, Grassmann, Felix, Guénel, Pascal, Gündert, Melanie, Hadjisavvas, Andreas, Hahnen, Eric, Hall, Per, Hamann, Ute, Harrington, Patricia A., He, Wei, Hillemanns, Peter, Hollestelle, Antoinette, Hooning, Maartje J., Hoppe, Reiner, Howell, Anthony, Humphreys, Keith, Jager, Agnes, Jakubowska, Anna, Khusnutdinova, Elza K., Ko, Yon-Dschun, Kristensen, Vessela N., Lindblom, Annika, Lissowska, Jolanta, Lubiński, Jan, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Mavroudis, Dimitrios, Newman, William G., Obi, Nadia, Panayiotidis, Mihalis I., Rashid, Muhammad U., Rhenius, Valerie, Rookus, Matti A., Saloustros, Emmanouil, Sawyer, Elinor J., Schmutzler, Rita K., Shah, Mitul, Sironen, Reijo, Southey, Melissa C., Suvanto, Maija, Tollenaar, Rob A. E. M., Tomlinson, Ian, Truong, Thérèse, van der Kolk, Lizet E., van Veen, Elke M., Wappenschmidt, Barbara, Yang, Xiaohong R., Bolla, Manjeet K., Dennis, Joe, Dunning, Alison M., Easton, Douglas F., Lush, Michael, Michailidou, Kyriaki, Pharoah, Paul D. P., Wang, Qin, Adank, Muriel A., Schmidt, Marjanka K., Andrulis, Irene L., Chang-Claude, Jenny, Nevanlinna, Heli, Chenevix-Trench, Georgia, Evans, D. Gareth, Milne, Roger L., Radice, Paolo, and Peterlongo, Paolo
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- 2023
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27. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer‐specific survival
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Anna Morra, Maartje A. C. Schreurs, Irene L. Andrulis, Hoda Anton‐Culver, Annelie Augustinsson, Matthias W. Beckmann, Sabine Behrens, Stig E. Bojesen, Manjeet K. Bolla, Hiltrud Brauch, Annegien Broeks, Saundra S. Buys, Nicola J. Camp, Jose E. Castelao, Melissa H. Cessna, Jenny Chang‐Claude, Wendy K. Chung, NBCS Collaborators, Sarah V. Colonna, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Joe Dennis, Peter Devilee, Thilo Dörk, Alison M. Dunning, Miriam Dwek, Douglas F. Easton, Diana M. Eccles, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Tanja N. Fehm, Jonine D. Figueroa, Henrik Flyger, Marike Gabrielson, Manuela Gago‐Dominguez, Montserrat García‐Closas, José A. García‐Sáenz, Jeanine Genkinger, Felix Grassmann, Melanie Gündert, Eric Hahnen, Christopher A. Haiman, Ute Hamann, Patricia A. Harrington, Jaana M. Hartikainen, Reiner Hoppe, John L. Hopper, Richard S. Houlston, Anthony Howell, ABCTB Investigators, kConFab Investigators, Anna Jakubowska, Wolfgang Janni, Helena Jernström, Esther M. John, Nichola Johnson, Michael E. Jones, Vessela N. Kristensen, Allison W. Kurian, Diether Lambrechts, Loic Le Marchand, Annika Lindblom, Jan Lubiński, Michael P. Lux, Arto Mannermaa, Dimitrios Mavroudis, Anna Marie Mulligan, Taru A. Muranen, Heli Nevanlinna, Ines Nevelsteen, Patrick Neven, William G. Newman, Nadia Obi, Kenneth Offit, Andrew F. Olshan, Tjoung‐Won Park‐Simon, Alpa V. Patel, Paolo Peterlongo, Kelly‐Anne Phillips, Dijana Plaseska‐Karanfilska, Eric C. Polley, Nadege Presneau, Katri Pylkäs, Brigitte Rack, Paolo Radice, Muhammad U. Rashid, Valerie Rhenius, Mark Robson, Atocha Romero, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Sabine Schuetze, Christopher Scott, Mitul Shah, Snezhana Smichkoska, Melissa C. Southey, William J. Tapper, Lauren R. Teras, Rob A. E. M. Tollenaar, Katarzyna Tomczyk, Ian Tomlinson, Melissa A. Troester, Celine M. Vachon, Elke M. vanVeen, Qin Wang, Camilla Wendt, Hans Wildiers, Robert Winqvist, Argyrios Ziogas, Per Hall, Paul D. P. Pharoah, Muriel A. Adank, Antoinette Hollestelle, Marjanka K. Schmidt, and Maartje J. Hooning
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CHEK2 c.1100delC germline genetic variant ,contralateral breast cancer risk ,radiotherapy ,survival ,systemic treatment ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC‐specific survival (BCSS) compared to non‐carriers. Aim To assessed the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS. Methods Analyses were based on 82,701 women diagnosed with a first primary invasive BC including 963 CHEK2 c.1100delC carriers; median follow‐up was 9.1 years. Differential associations with treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi‐state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death. Results There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status. The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR (95% CI): 0.66 (0.55–0.78)]. No association was observed with radiotherapy. Results from the multi‐state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non‐carriers also after accounting for CBC occurrence [HR (95% CI): 1.30 (1.09–1.56)]. Conclusion Systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk.
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- 2023
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28. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry
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Pooja Middha, Xiaoliang Wang, Sabine Behrens, Manjeet K. Bolla, Qin Wang, Joe Dennis, Kyriaki Michailidou, Thomas U. Ahearn, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Kristan J. Aronson, Paul L. Auer, Annelie Augustinsson, Thaïs Baert, Laura E. Beane Freeman, Heiko Becher, Matthias W. Beckmann, Javier Benitez, Stig E. Bojesen, Hiltrud Brauch, Hermann Brenner, Angela Brooks-Wilson, Daniele Campa, Federico Canzian, Angel Carracedo, Jose E. Castelao, Stephen J. Chanock, Georgia Chenevix-Trench, CTS Consortium, Emilie Cordina-Duverger, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Laure Dossus, Pierre-Antoine Dugué, A. Heather Eliassen, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Jonine D. Figueroa, Olivia Fletcher, Henrik Flyger, Marike Gabrielson, Manuela Gago-Dominguez, Graham G. Giles, Anna González-Neira, Felix Grassmann, Anne Grundy, Pascal Guénel, Christopher A. Haiman, Niclas Håkansson, Per Hall, Ute Hamann, Susan E. Hankinson, Elaine F. Harkness, Bernd Holleczek, Reiner Hoppe, John L. Hopper, Richard S. Houlston, Anthony Howell, David J. Hunter, Christian Ingvar, ABCTB Investigators, kConFab Investigators, Karolin Isaksson, Helena Jernström, Esther M. John, Michael E. Jones, Rudolf Kaaks, Renske Keeman, Cari M. Kitahara, Yon-Dschun Ko, Stella Koutros, Allison W. Kurian, James V. Lacey, Diether Lambrechts, Nicole L. Larson, Susanna Larsson, Loic Le Marchand, Flavio Lejbkowicz, Shuai Li, Martha Linet, Jolanta Lissowska, Maria Elena Martinez, Tabea Maurer, Anna Marie Mulligan, Claire Mulot, Rachel A. Murphy, William G. Newman, Sune F. Nielsen, Børge G. Nordestgaard, Aaron Norman, Katie M. O’Brien, Janet E. Olson, Alpa V. Patel, Ross Prentice, Erika Rees-Punia, Gad Rennert, Valerie Rhenius, Kathryn J. Ruddy, Dale P. Sandler, Christopher G. Scott, Mitul Shah, Xiao-Ou Shu, Ann Smeets, Melissa C. Southey, Jennifer Stone, Rulla M. Tamimi, Jack A. Taylor, Lauren R. Teras, Katarzyna Tomczyk, Melissa A. Troester, Thérèse Truong, Celine M. Vachon, Sophia S. Wang, Clarice R. Weinberg, Hans Wildiers, Walter Willett, Stacey J. Winham, Alicja Wolk, Xiaohong R. Yang, M. Pilar Zamora, Wei Zheng, Argyrios Ziogas, Alison M. Dunning, Paul D. P. Pharoah, Montserrat García-Closas, Marjanka K. Schmidt, Peter Kraft, Roger L. Milne, Sara Lindström, Douglas F. Easton, and Jenny Chang-Claude
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Breast cancer ,Gene-environment interactions ,Genetic epidemiology ,European ancestry ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Genome-wide studies of gene–environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer. Methods Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene–environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs. Results Assuming a 1 × 10–5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability
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29. PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants
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Taru A. Muranen, Anna Morra, Sofia Khan, Daniel R. Barnes, Manjeet K. Bolla, Joe Dennis, Renske Keeman, Goska Leslie, Michael T. Parsons, Qin Wang, Thomas U. Ahearn, Kristiina Aittomäki, Irene L. Andrulis, Banu K. Arun, Sabine Behrens, Katarzyna Bialkowska, Stig E. Bojesen, Nicola J. Camp, Jenny Chang-Claude, Kamila Czene, Peter Devilee, HEBON investigators, Susan M. Domchek, Alison M. Dunning, Christoph Engel, D. Gareth Evans, Manuela Gago-Dominguez, Montserrat García-Closas, Anne-Marie Gerdes, Gord Glendon, Pascal Guénel, Eric Hahnen, Ute Hamann, Helen Hanson, Maartje J. Hooning, Reiner Hoppe, Louise Izatt, Anna Jakubowska, Paul A. James, Vessela N. Kristensen, Fiona Lalloo, Geoffrey J. Lindeman, Arto Mannermaa, Sara Margolin, Susan L. Neuhausen, William G. Newman, Paolo Peterlongo, Kelly-Anne Phillips, Miquel Angel Pujana, Johanna Rantala, Karina Rønlund, Emmanouil Saloustros, Rita K. Schmutzler, Andreas Schneeweiss, Christian F. Singer, Maija Suvanto, Yen Yen Tan, Manuel R. Teixeira, Mads Thomassen, Marc Tischkowitz, Vishakha Tripathi, Barbara Wappenschmidt, Emily Zhao, Douglas F. Easton, Antonis C. Antoniou, Georgia Chenevix-Trench, Paul D. P. Pharoah, Marjanka K. Schmidt, Carl Blomqvist, and Heli Nevanlinna
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract We assessed the PREDICT v 2.2 for prognosis of breast cancer patients with pathogenic germline BRCA1 and BRCA2 variants, using follow-up data from 5453 BRCA1/2 carriers from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC). PREDICT for estrogen receptor (ER)-negative breast cancer had modest discrimination for BRCA1 carrier patients overall (Gönen & Heller unbiased concordance 0.65 in CIMBA, 0.64 in BCAC), but it distinguished clearly the high-mortality group from lower risk categories. In an analysis of low to high risk categories by PREDICT score percentiles, the observed mortality was consistently lower than the expected mortality, but the confidence intervals always included the calibration slope. Altogether, our results encourage the use of the PREDICT ER-negative model in management of breast cancer patients with germline BRCA1 variants. For the PREDICT ER-positive model, the discrimination was slightly lower in BRCA2 variant carriers (concordance 0.60 in CIMBA, 0.65 in BCAC). Especially, inclusion of the tumor grade distorted the prognostic estimates. The breast cancer mortality of BRCA2 carriers was underestimated at the low end of the PREDICT score distribution, whereas at the high end, the mortality was overestimated. These data suggest that BRCA2 status should also be taken into consideration with tumor characteristics, when estimating the prognosis of ER-positive breast cancer patients.
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- 2023
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30. p53 and ovarian carcinoma survival: an Ovarian Tumor Tissue Analysis consortium study
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Martin Köbel, Eun‐Young Kang, Ashley Weir, Peter F Rambau, Cheng‐Han Lee, Gregg S Nelson, Prafull Ghatage, Nicola S Meagher, Marjorie J Riggan, Jennifer Alsop, Michael S Anglesio, Matthias W Beckmann, Christiani Bisinotto, Michelle Boisen, Jessica Boros, Alison H Brand, Angela Brooks‐Wilson, Michael E Carney, Penny Coulson, Madeleine Courtney‐Brooks, Kara L Cushing‐Haugen, Cezary Cybulski, Suha Deen, Mona A El‐Bahrawy, Esther Elishaev, Ramona Erber, Sian Fereday, AOCS Group, Anna Fischer, Simon A Gayther, Arantzazu Barquin‐Garcia, Aleksandra Gentry‐Maharaj, C Blake Gilks, Helena Gronwald, Marcel Grube, Paul R Harnett, Holly R Harris, Andreas D Hartkopf, Arndt Hartmann, Alexander Hein, Joy Hendley, Brenda Y Hernandez, Yajue Huang, Anna Jakubowska, Mercedes Jimenez‐Linan, Michael E Jones, Catherine J Kennedy, Tomasz Kluz, Jennifer M Koziak, Jaime Lesnock, Jenny Lester, Jan Lubiński, Teri A Longacre, Maria Lycke, Constantina Mateoiu, Bryan M McCauley, Valerie McGuire, Britta Ney, Alexander Olawaiye, Sandra Orsulic, Ana Osorio, Luis Paz‐Ares, Teresa Ramón y Cajal, Joseph H Rothstein, Matthias Ruebner, Minouk J Schoemaker, Mitul Shah, Raghwa Sharma, Mark E Sherman, Yurii B Shvetsov, Naveena Singh, Helen Steed, Sarah J Storr, Aline Talhouk, Nadia Traficante, Chen Wang, Alice S Whittemore, Martin Widschwendter, Lynne R Wilkens, Stacey J Winham, Javier Benitez, Andrew Berchuck, David D Bowtell, Francisco J Candido dos Reis, Ian Campbell, Linda S Cook, Anna DeFazio, Jennifer A Doherty, Peter A Fasching, Renée T Fortner, María J García, Marc T Goodman, Ellen L Goode, Jacek Gronwald, David G Huntsman, Beth Y Karlan, Linda E Kelemen, Stefan Kommoss, Nhu D Le, Stewart G Martin, Usha Menon, Francesmary Modugno, Paul DP Pharoah, Joellen M Schildkraut, Weiva Sieh, Annette Staebler, Karin Sundfeldt, Anthony J Swerdlow, Susan J Ramus, and James D Brenton
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ovarian cancer ,high‐grade serous carcinoma ,endometrioid ,clear cell ,TP53 ,p53 ,Pathology ,RB1-214 - Abstract
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.
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- 2023
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31. Increased FOXJ1 protein expression is associated with improved overall survival in high-grade serous ovarian carcinoma: an Ovarian Tumor Tissue Analysis Consortium Study
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Weir, Ashley, Kang, Eun-Young, Meagher, Nicola S., Nelson, Gregg S., Ghatage, Prafull, Lee, Cheng-Han, Riggan, Marjorie J., Gentry-Maharaj, Aleksandra, Ryan, Andy, Singh, Naveena, Widschwendter, Martin, Alsop, Jennifer, Anglesio, Michael S., Beckmann, Matthias W., Berger, Jessica, Bisinotto, Christiani, Boros, Jessica, Brand, Alison H., Brenton, James D., Brooks-Wilson, Angela, Carney, Michael E., Cunningham, Julie M., Cushing-Haugen, Kara L., Cybulski, Cezary, Elishaev, Esther, Erber, Ramona, Fereday, Sian, Fischer, Anna, Paz-Ares, Luis, Gayarre, Javier, Gilks, Blake C., Grube, Marcel, Harnett, Paul R., Harris, Holly R., Hartmann, Arndt, Hein, Alexander, Hendley, Joy, Hernandez, Brenda Y., Heublein, Sabine, Huang, Yajue, Huzarski, Tomasz, Jakubowska, Anna, Jimenez-Linan, Mercedes, Kennedy, Catherine J., Kommoss, Felix K. F., Koziak, Jennifer M., Kraemer, Bernhard, Le, Nhu D., Lesnock, Jaime, Lester, Jenny, Lubiński, Jan, Menkiszak, Janusz, Ney, Britta, Olawaiye, Alexander, Orsulic, Sandra, Osorio, Ana, Robles-Díaz, Luis, Ruebner, Matthias, Shah, Mitul, Sharma, Raghwa, Shvetsov, Yurii B., Steed, Helen, Talhouk, Aline, Taylor, Sarah E., Traficante, Nadia, Vierkant, Robert A., Wang, Chen, Wilkens, Lynne R., Winham, Stacey J., Benitez, Javier, Berchuck, Andrew, Bowtell, David D., Candido dos Reis, Francisco J., Cook, Linda S., DeFazio, Anna, Doherty, Jennifer A., Fasching, Peter A., García, María J., Goode, Ellen L., Goodman, Marc T., Gronwald, Jacek, Huntsman, David G., Karlan, Beth Y., Kommoss, Stefan, Modugno, Francesmary, Schildkraut, Joellen M., Sinn, Hans-Peter, Staebler, Annette, Kelemen, Linda E., Ford, Caroline E., Menon, Usha, Pharoah, Paul D. P., Köbel, Martin, and Ramus, Susan J.
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- 2023
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32. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries
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Fernandez-Rozadilla, Ceres, Timofeeva, Maria, Chen, Zhishan, Law, Philip, Thomas, Minta, Schmit, Stephanie, Díez-Obrero, Virginia, Hsu, Li, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah, Svinti, Victoria, Donnelly, Kevin, Farrington, Susan, Blackmur, James, Vaughan-Shaw, Peter, Shu, Xiao-ou, Long, Jirong, Cai, Qiuyin, Guo, Xingyi, Lu, Yingchang, Broderick, Peter, Studd, James, Huyghe, Jeroen, Harrison, Tabitha, Conti, David, Dampier, Christopher, Devall, Mathew, Schumacher, Fredrick, Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Moratalla-Navarro, Ferran, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John, Jenkins, Mark, Win, Aung Ko, Pai, Rish, Figueiredo, Jane, Haile, Robert, Gallinger, Steven, Woods, Michael, Newcomb, Polly, Duggan, David, Cheadle, Jeremy, Kaplan, Richard, Maughan, Timothy, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Lukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri, Rissanen, Harri, Pukkala, Eero, Eriksson, Johan, Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Zanke, Brent, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie, Ruiz-Narvaez, Edward, Palmer, Julie, Buchanan, Daniel, Platz, Elizabeth, Visvanathan, Kala, Ulrich, Cornelia, Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter, Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha, Potter, John, Tsilidis, Konstantinos, Schulze, Matthias, Gunter, Marc, Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Stern, Mariana, Pardamean, Bens, Bishop, Timothy, Giles, Graham, Southey, Melissa, Idos, Gregory, McDonnell, Kevin, Abu-Ful, Zomoroda, Greenson, Joel, Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope, van Guelpen, Bethany, Hudson, Thomas, Hampel, Heather, Pearlman, Rachel, Berndt, Sonja, Hayes, Richard, Martinez, Marie Elena, Thomas, Sushma, Corley, Douglas, Pharoah, Paul, Larsson, Susanna, Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly, Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew, Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David, Joshi, Amit, Schafmayer, Clemens, Scacheri, Peter, Kundaje, Anshul, Nickerson, Deborah, Schoen, Robert, Hampe, Jochen, Stadler, Zsofia, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Papadopoulos, Nickolas, Edlund, Chistopher, Gauderman, William, Thomas, Duncan, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen, van Duijnhoven, Franzel, Feskens, Edith, Sakoda, Lori, Gago-Dominguez, Manuela, Wolk, Alicja, Naccarati, Alessio, Pardini, Barbara, FitzGerald, Liesel, Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie, Kooperberg, Charles, Li, Christopher, Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Tangen, Catherine, Mardis, Elaine, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Haiman, Christopher, Le Marchand, Loic, Wu, Anna, Qu, Chenxu, McNeil, Caroline, Coetzee, Gerhard, Hayward, Caroline, Deary, Ian, Harris, Sarah, Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Moreno, Victor, Casey, Graham, Gruber, Stephen, Tomlinson, Ian, Zheng, Wei, Dunlop, Malcolm, Houlston, Richard, and Peters, Ulrike
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- 2023
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33. The genomic and immune landscape of long-term survivors of high-grade serous ovarian cancer
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Garsed, Dale W., Pandey, Ahwan, Fereday, Sian, Kennedy, Catherine J., Takahashi, Kazuaki, Alsop, Kathryn, Hamilton, Phineas T., Hendley, Joy, Chiew, Yoke-Eng, Traficante, Nadia, Provan, Pamela, Ariyaratne, Dinuka, Au-Yeung, George, Bateman, Nicholas W., Bowes, Leanne, Brand, Alison, Christie, Elizabeth L., Cunningham, Julie M., Friedlander, Michael, Grout, Bronwyn, Harnett, Paul, Hung, Jillian, McCauley, Bryan, McNally, Orla, Piskorz, Anna M., Saner, Flurina A. M., Vierkant, Robert A., Wang, Chen, Winham, Stacey J., Pharoah, Paul D. P., Brenton, James D., Conrads, Thomas P., Maxwell, George L., Ramus, Susan J., Pearce, Celeste Leigh, Pike, Malcolm C., Nelson, Brad H., Goode, Ellen L., DeFazio, Anna, and Bowtell, David D. L.
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- 2022
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34. Smoke Alarms for Informal Settlements: Monitoring and Challenges from a Large-Scale Community Rollout in Cape Town, South Africa
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Pharoah, Robyn, Zweig, Patricia, Walls, Richard, and Eksteen, Rodney
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- 2022
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35. 2 Pathways to detection of non-infectious childhood uveitis in the UK: findings from the UNICORN cohort study
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A Reddy, S Sharma, A Kumar, J Choi, J Williams, E Hughes, R Knowles, K Bush, AL Solebo, K Falzon, A Connor, J Rahi, V Tadic, E McLoone, R Pilling, P Watts, A Ritchie, V Long, A Dick, H Petrushkin, K Warrior, S Anwar, J Ashworth, E Millar, C Schmoll, N Puvanachandra, J Gonzalez-Martin, S Kellett, E Agorogiannis, A Injarie, A Shafi, A Pradeep, B Muthusamy, J Benzimra, D Pharoah, and U O’Colmain
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Ophthalmology ,RE1-994 - Published
- 2023
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36. Evaluation and comparison of different breast cancer prognosis scores based on gene expression data
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Avirup Chowdhury, Paul D. Pharoah, and Oscar M. Rueda
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PREDICT ,Breast cancer ,Prognosis ,Genomic score ,Chemotherapy ,Calibration ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Breast cancer is one of the three most common cancers worldwide and is the most common malignancy in women. Treatment approaches for breast cancer are diverse and varied. Clinicians must balance risks and benefits when deciding treatments, and models have been developed to support this decision-making. Genomic risk scores (GRSs) may offer greater clinical value than standard clinicopathological models, but there is limited evidence as to whether these models perform better than the current clinical standard of care. Methods PREDICT and GRSs were adapted using data from the original papers. Univariable Cox proportional hazards models were produced with breast cancer-specific survival (BCSS) as the outcome. Independent predictors of BCSS were used to build multivariable models with PREDICT. Signatures which provided independent prognostic information in multivariable models were incorporated into the PREDICT algorithm and assessed for calibration, discrimination and reclassification. Results EndoPredict, MammaPrint and Prosigna demonstrated prognostic power independent of PREDICT in multivariable models for ER-positive patients; no score predicted BCSS in ER-negative patients. Incorporating these models into PREDICT had only a modest impact upon calibration (with absolute improvements of 0.2–0.8%), discrimination (with no statistically significant c-index improvements) and reclassification (with 4–10% of patients being reclassified). Conclusion Addition of GRSs to PREDICT had limited impact on model fit or treatment received. This analysis does not support widespread adoption of current GRSs based on our implementations of commercial products.
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- 2023
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37. Risks of second non-breast primaries following breast cancer in women: a systematic review and meta-analysis
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Isaac Allen, Hend Hassan, Eleni Sofianopoulou, Diana Eccles, Clare Turnbull, Marc Tischkowitz, Paul Pharoah, and Antonis C. Antoniou
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Breast neoplasms ,Second primary ,Second cancer ,Multiple primary ,Multiple cancer ,Risk ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Second primary cancer incidence is rising among breast cancer survivors. We examined the risks of non-breast second primaries, in combination and at specific cancer sites, through a systematic review and meta-analysis. Methods We conducted a systematic search of PubMed, Embase, and Web of Science, seeking studies published by March 2022. We included studies that reported standardized incidence ratios (SIRs), with associated standard errors, assessing the combined risk of second non-breast primaries following breast cancer. We performed meta-analyses of combined second primary risks, stratifying by age, follow-up duration, and geographic region. We also assessed second primary risks at several specific sites, stratifying by age. The inverse variance method with DerSimonian–Laird estimators was used in all meta-analyses, assuming a random-effects model. Associated biases and study quality were evaluated using the Newcastle–Ottawa scale. Results One prospective and twenty-seven retrospective cohort studies were identified. SIRs for second non-breast primaries combined ranged from 0.84 to 1.84. The summary SIR estimate was 1.24 (95% CI 1.14–1.36, I 2: 99%). This varied by age: the estimate was 1.59 (95% CI 1.36–1.85) when breast cancer was diagnosed before age 50, which was significantly higher than in women first diagnosed at 50 or over (SIR: 1.13, 95% CI 1.01–1.36, p for difference:
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- 2023
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38. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry
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Stefanie H. Mueller, Alvina G. Lai, Maria Valkovskaya, Kyriaki Michailidou, Manjeet K. Bolla, Qin Wang, Joe Dennis, Michael Lush, Zomoruda Abu-Ful, Thomas U. Ahearn, Irene L. Andrulis, Hoda Anton-Culver, Natalia N. Antonenkova, Volker Arndt, Kristan J. Aronson, Annelie Augustinsson, Thais Baert, Laura E. Beane Freeman, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Carl Blomqvist, Natalia V. Bogdanova, Stig E. Bojesen, Bernardo Bonanni, Hermann Brenner, Sara Y. Brucker, Saundra S. Buys, Jose E. Castelao, Tsun L. Chan, Jenny Chang-Claude, Stephen J. Chanock, Ji-Yeob Choi, Wendy K. Chung, NBCS Collaborators, Sarah V. Colonna, CTS Consortium, Sten Cornelissen, Fergus J. Couch, Kamila Czene, Mary B. Daly, Peter Devilee, Thilo Dörk, Laure Dossus, Miriam Dwek, Diana M. Eccles, Arif B. Ekici, A. Heather Eliassen, Christoph Engel, D. Gareth Evans, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Manuela Gago-Dominguez, Yu-Tang Gao, Montserrat García-Closas, José A. García-Sáenz, Jeanine Genkinger, Aleksandra Gentry-Maharaj, Felix Grassmann, Pascal Guénel, Melanie Gündert, Lothar Haeberle, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Elaine F. Harkness, Patricia A. Harrington, Jaana M. Hartikainen, Mikael Hartman, Alexander Hein, Weang-Kee Ho, Maartje J. Hooning, Reiner Hoppe, John L. Hopper, Richard S. Houlston, Anthony Howell, David J. Hunter, Dezheng Huo, ABCTB Investigators, Hidemi Ito, Motoki Iwasaki, Anna Jakubowska, Wolfgang Janni, Esther M. John, Michael E. Jones, Audrey Jung, Rudolf Kaaks, Daehee Kang, Elza K. Khusnutdinova, Sung-Won Kim, Cari M. Kitahara, Stella Koutros, Peter Kraft, Vessela N. Kristensen, Katerina Kubelka-Sabit, Allison W. Kurian, Ava Kwong, James V. Lacey, Diether Lambrechts, Loic Le Marchand, Jingmei Li, Martha Linet, Wing-Yee Lo, Jirong Long, Artitaya Lophatananon, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Keitaro Matsuo, Dimitrios Mavroudis, Usha Menon, Kenneth Muir, Rachel A. Murphy, Heli Nevanlinna, William G. Newman, Dieter Niederacher, Katie M. O’Brien, Nadia Obi, Kenneth Offit, Olufunmilayo I. Olopade, Andrew F. Olshan, Håkan Olsson, Sue K. Park, Alpa V. Patel, Achal Patel, Charles M. Perou, Julian Peto, Paul D. P. Pharoah, Dijana Plaseska-Karanfilska, Nadege Presneau, Brigitte Rack, Paolo Radice, Dhanya Ramachandran, Muhammad U. Rashid, Gad Rennert, Atocha Romero, Kathryn J. Ruddy, Matthias Ruebner, Emmanouil Saloustros, Dale P. Sandler, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Michael O. Schneider, Christopher Scott, Mitul Shah, Priyanka Sharma, Chen-Yang Shen, Xiao-Ou Shu, Jacques Simard, Harald Surowy, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Soo Hwang Teo, Lauren R. Teras, Amanda E. Toland, Rob A. E. M. Tollenaar, Diana Torres, Gabriela Torres-Mejía, Melissa A. Troester, Thérèse Truong, Celine M. Vachon, Joseph Vijai, Clarice R. Weinberg, Camilla Wendt, Robert Winqvist, Alicja Wolk, Anna H. Wu, Taiki Yamaji, Xiaohong R. Yang, Jyh-Cherng Yu, Wei Zheng, Argyrios Ziogas, Elad Ziv, Alison M. Dunning, Douglas F. Easton, Harry Hemingway, Ute Hamann, and Karoline B. Kuchenbaecker
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Breast cancer susceptibility ,Diverse ancestry ,Rare variants ,Gene regulation ,Genome-wide association study ,Medicine ,Genetics ,QH426-470 - Abstract
Abstract Background Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. Methods We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes’ coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. Results In European ancestry samples, 14 genes were significantly associated (q
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- 2023
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39. Risk of developing a second primary cancer in male breast cancer survivors: a systematic review and meta-analysis
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Allen, Isaac, Hassan, Hend, Sofianopoulou, Eleni, Eccles, Diana, Turnbull, Clare, Tischkowitz, Marc, Pharoah, Paul, and Antoniou, Antonis C.
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- 2022
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40. Relevance of the MHC region for breast cancer susceptibility in Asians
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Ho, Peh Joo, Khng, Alexis Jiaying, Tan, Benita Kiat-Tee, Tan, Ern Yu, Tan, Su-Ming, Tan, Veronique Kiak Mien, Lim, Geok Hoon, Aronson, Kristan J., Chan, Tsun L., Choi, Ji-Yeob, Dennis, Joe, Ho, Weang-Kee, Hou, Ming-Feng, Ito, Hidemi, Iwasaki, Motoki, John, Esther M., Kang, Daehee, Kim, Sung-Won, Kurian, Allison W., Kwong, Ava, Lophatananon, Artitaya, Matsuo, Keitaro, Mohd-Taib, Nur Aishah, Muir, Kenneth, Murphy, Rachel A., Park, Sue K., Shen, Chen-Yang, Shu, Xiao-Ou, Teo, Soo Hwang, Wang, Qin, Yamaji, Taiki, Zheng, Wei, Bolla, Manjeet K., Dunning, Alison M., Easton, Douglas F., Pharoah, Paul D. P., Hartman, Mikael, and Li, Jingmei
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- 2022
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41. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients
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Daniele Giardiello, Maartje J. Hooning, Michael Hauptmann, Renske Keeman, B. A. M. Heemskerk-Gerritsen, Heiko Becher, Carl Blomqvist, Stig E. Bojesen, Manjeet K. Bolla, Nicola J. Camp, Kamila Czene, Peter Devilee, Diana M. Eccles, Peter A. Fasching, Jonine D. Figueroa, Henrik Flyger, Montserrat García-Closas, Christopher A. Haiman, Ute Hamann, John L. Hopper, Anna Jakubowska, Floor E. Leeuwen, Annika Lindblom, Jan Lubiński, Sara Margolin, Maria Elena Martinez, Heli Nevanlinna, Ines Nevelsteen, Saskia Pelders, Paul D. P. Pharoah, Sabine Siesling, Melissa C. Southey, Annemieke H. van der Hout, Liselotte P. van Hest, Jenny Chang-Claude, Per Hall, Douglas F. Easton, Ewout W. Steyerberg, and Marjanka K. Schmidt
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Contralateral breast cancer ,Risk prediction ,Contralateral preventive mastectomy ,Clinical decision-making ,Breast cancer genetic predisposition ,Breast Cancer Association Consortium ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors. Methods We included data from 207,510 invasive breast cancer patients participating in 23 studies. In total, 8225 CBC events occurred over a median follow-up of 10.2 years. In addition to the previously included risk factors, PredictCBC-2.0 included CHEK2 c.1100delC, a 313 variant polygenic risk score (PRS-313), body mass index (BMI), and parity. Fine and Gray regression was used to fit the model. Calibration and a time-dependent area under the curve (AUC) at 5 and 10 years were assessed to determine the performance of the models. Decision curve analysis was performed to evaluate the net benefit of PredictCBC-2.0 and previous PredictCBC models. Results The discrimination of PredictCBC-2.0 at 10 years was higher than PredictCBC with an AUC of 0.65 (95% prediction intervals (PI) 0.56–0.74) versus 0.63 (95%PI 0.54–0.71). PredictCBC-2.0 was well calibrated with an observed/expected ratio at 10 years of 0.92 (95%PI 0.34–2.54). Decision curve analysis for contralateral preventive mastectomy (CPM) showed the potential clinical utility of PredictCBC-2.0 between thresholds of 4 and 12% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers. Conclusions Additional genetic information beyond BRCA1/2 germline mutations improved CBC risk prediction and might help tailor clinical decision-making toward CPM or alternative preventive strategies. Identifying patients who benefit from CPM, especially in the general breast cancer population, remains challenging.
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- 2022
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42. Hydropersulfides (RSSH) attenuate doxorubicin-induced cardiotoxicity while boosting its anticancer action
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Blaze M. Pharoah, Chengximeng Zhang, Vinayak S. Khodade, Gizem Keceli, Christopher McGinity, Nazareno Paolocci, and John P. Toscano
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Hydropersulfides ,Doxorubicin-induced cardiotoxicity ,Cytoprotection ,Nrf2 ,PGC-1α ,Reductive stress ,Medicine (General) ,R5-920 ,Biology (General) ,QH301-705.5 - Abstract
Cardiotoxicity is a frequent and often lethal complication of doxorubicin (DOX)-based chemotherapy. Here, we report that hydropersulfides (RSSH) are the most effective reactive sulfur species in conferring protection against DOX-induced toxicity in H9c2 cardiac cells. Mechanistically, RSSH supplementation alleviates the DOX-evoked surge in reactive oxygen species (ROS), activating nuclear factor erythroid 2-related factor 2 (Nrf2)-dependent pathways, thus boosting endogenous antioxidant defenses. Simultaneously, RSSH turns on peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α), a master regulator of mitochondrial function, while decreasing caspase-3 activity to inhibit apoptosis. Of note, we find that RSSH potentiate anticancer DOX effects in three different cancer cell lines, with evidence that suggests this occurs via induction of reductive stress. Indeed, cancer cells already exhibit much higher basal hydrogen sulfide (H2S), sulfane sulfur, and reducing equivalents compared to cardiac cells. Thus, RSSH may represent a new promising avenue to fend off DOX-induced cardiotoxicity while boosting its anticancer effects.
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- 2023
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43. MCM3 is a novel proliferation marker associated with longer survival for patients with tubo-ovarian high-grade serous carcinoma
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Kang, Eun Young, Millstein, Joshua, Popovic, Gordana, Meagher, Nicola S., Bolithon, Adelyn, Talhouk, Aline, Chiu, Derek S., Anglesio, Michael S., Leung, Betty, Tang, Katrina, Lambie, Neil, Pavanello, Marina, Da-anoy, Annalyn, Lambrechts, Diether, Loverix, Liselore, Olbrecht, Siel, Bisinotto, Christiani, Garcia-Donas, Jesus, Ruiz-Llorente, Sergio, Yagüe-Fernandez, Monica, Edwards, Robert P., Elishaev, Esther, Olawaiye, Alexander, Taylor, Sarah, Ataseven, Beyhan, du Bois, Andreas, Harter, Philipp, Lester, Jenny, Høgdall, Claus K., Armasu, Sebastian M., Huang, Yajue, Vierkant, Robert A., Wang, Chen, Winham, Stacey J., Heublein, Sabine, Kommoss, Felix K. F., Cramer, Daniel W., Sasamoto, Naoko, van-Wagensveld, Lilian, Lycke, Maria, Mateoiu, Constantina, Joseph, Janine, Pike, Malcolm C., Odunsi, Kunle, Tseng, Chiu-Chen, Pearce, Celeste L., Bilic, Sanela, Conrads, Thomas P., Hartmann, Arndt, Hein, Alexander, Jones, Michael E., Leung, Yee, Beckmann, Matthias W., Ruebner, Matthias, Schoemaker, Minouk J., Terry, Kathryn L., El-Bahrawy, Mona A., Coulson, Penny, Etter, John L., LaVigne-Mager, Katherine, Andress, Juergen, Grube, Marcel, Fischer, Anna, Neudeck, Nina, Robertson, Greg, Farrell, Rhonda, Barlow, Ellen, Quinn, Carmel, Hettiaratchi, Anusha, Casablanca, Yovanni, Erber, Ramona, Stewart, Colin J. R., Tan, Adeline, Yu, Yu, Boros, Jessica, Brand, Alison H., Harnett, Paul R., Kennedy, Catherine J., Nevins, Nikilyn, Morgan, Terry, Fasching, Peter A., Vergote, Ignace, Swerdlow, Anthony J., Candido dos Reis, Francisco J., Maxwell, G. Larry, Neuhausen, Susan L., Barquin-Garcia, Arantzazu, Modugno, Francesmary, Moysich, Kirsten B., Crowe, Philip J., Hirasawa, Akira, Heitz, Florian, Karlan, Beth Y., Goode, Ellen L., Sinn, Peter, Horlings, Hugo M., Høgdall, Estrid, Sundfeldt, Karin, Kommoss, Stefan, Staebler, Annette, Wu, Anna H., Cohen, Paul A., DeFazio, Anna, Lee, Cheng-Han, Steed, Helen, Le, Nhu D., Gayther, Simon A., Lawrenson, Kate, Pharoah, Paul D. P., Konecny, Gottfried, Cook, Linda S., Ramus, Susan J., Kelemen, Linda E., and Köbel, Martin
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- 2022
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44. Polygenic risk modeling for prediction of epithelial ovarian cancer risk
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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.
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- 2022
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45. Rare germline copy number variants (CNVs) and breast cancer risk
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Dennis, Joe, Tyrer, Jonathan P., Walker, Logan C., Michailidou, Kyriaki, Dorling, Leila, Bolla, Manjeet K., Wang, Qin, Ahearn, Thomas U., Andrulis, Irene L., Anton-Culver, Hoda, Antonenkova, Natalia N., Arndt, Volker, Aronson, Kristan J., Freeman, Laura E. Beane, Beckmann, Matthias W., Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Bogdanova, Natalia V., Bojesen, Stig E., Brenner, Hermann, Castelao, Jose E., Chang-Claude, Jenny, Chenevix-Trench, Georgia, Clarke, Christine L., Collée, J. Margriet, Couch, Fergus J., Cox, Angela, Cross, Simon S., Czene, Kamila, Devilee, Peter, Dörk, Thilo, Dossus, Laure, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine, Fletcher, Olivia, Flyger, Henrik, Fritschi, Lin, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Giles, Graham G., González-Neira, Anna, Guénel, Pascal, Hahnen, Eric, Haiman, Christopher A., Hall, Per, Hollestelle, Antoinette, Hoppe, Reiner, Hopper, John L., Howell, Anthony, Jager, Agnes, Jakubowska, Anna, John, Esther M., Johnson, Nichola, Jones, Michael E., Jung, Audrey, Kaaks, Rudolf, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M., Ko, Yon-Dschun, Kosma, Veli-Matti, Koutros, Stella, Kraft, Peter, Kristensen, Vessela N., Kubelka-Sabit, Katerina, Kurian, Allison W., Lacey, James V., Lambrechts, Diether, Larson, Nicole L., Linet, Martha, Ogrodniczak, Alicja, Mannermaa, Arto, Manoukian, Siranoush, Margolin, Sara, Mavroudis, Dimitrios, Milne, Roger L., Muranen, Taru A., Murphy, Rachel A., Nevanlinna, Heli, Olson, Janet E., Olsson, Håkan, Park-Simon, Tjoung-Won, Perou, Charles M., Peterlongo, Paolo, Plaseska-Karanfilska, Dijana, Pylkäs, Katri, Rennert, Gad, Saloustros, Emmanouil, Sandler, Dale P., Sawyer, Elinor J., Schmidt, Marjanka K., Schmutzler, Rita K., Shibli, Rana, Smeets, Ann, Soucy, Penny, Southey, Melissa C., Swerdlow, Anthony J., Tamimi, Rulla M., Taylor, Jack A., Teras, Lauren R., Terry, Mary Beth, Tomlinson, Ian, Troester, Melissa A., Truong, Thérèse, Vachon, Celine M., Wendt, Camilla, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R., Zheng, Wei, Ziogas, Argyrios, Simard, Jacques, Dunning, Alison M., Pharoah, Paul D. P., and Easton, Douglas F.
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- 2022
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46. Breast cancer risks associated with missense variants in breast cancer susceptibility genes
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Dorling, Leila, Carvalho, Sara, Allen, Jamie, Parsons, Michael T., Fortuno, Cristina, González-Neira, Anna, Heijl, Stephan M., Adank, Muriel A., Ahearn, Thomas U., Andrulis, Irene L., Auvinen, Päivi, Becher, Heiko, Beckmann, Matthias W., Behrens, Sabine, Bermisheva, Marina, Bogdanova, Natalia V., Bojesen, Stig E., Bolla, Manjeet K., Bremer, Michael, Briceno, Ignacio, Camp, Nicola J., Campbell, Archie, Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Chenevix-Trench, Georgia, Collée, J. Margriet, Czene, Kamila, Dennis, Joe, Dörk, Thilo, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine, Flyger, Henrik, Gabrielson, Marike, Gago-Dominguez, Manuela, García-Closas, Montserrat, Giles, Graham G., Glendon, Gord, Guénel, Pascal, Gündert, Melanie, Hadjisavvas, Andreas, Hahnen, Eric, Hall, Per, Hamann, Ute, Harkness, Elaine F., Hartman, Mikael, Hogervorst, Frans B. L., Hollestelle, Antoinette, Hoppe, Reiner, Howell, Anthony, Jakubowska, Anna, Jung, Audrey, Khusnutdinova, Elza, Kim, Sung-Won, Ko, Yon-Dschun, Kristensen, Vessela N., Lakeman, Inge M. M., Li, Jingmei, Lindblom, Annika, Loizidou, Maria A., Lophatananon, Artitaya, Lubiński, Jan, Luccarini, Craig, Madsen, Michael J., Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Mavroudis, Dimitrios, Milne, Roger L., Mohd Taib, Nur Aishah, Muir, Kenneth, Nevanlinna, Heli, Newman, William G., Oosterwijk, Jan C., Park, Sue K., Peterlongo, Paolo, Radice, Paolo, Saloustros, Emmanouil, Sawyer, Elinor J., Schmutzler, Rita K., Shah, Mitul, Sim, Xueling, Southey, Melissa C., Surowy, Harald, Suvanto, Maija, Tomlinson, Ian, Torres, Diana, Truong, Thérèse, van Asperen, Christi J., Waltes, Regina, Wang, Qin, Yang, Xiaohong R., Pharoah, Paul D. P., Schmidt, Marjanka K., Benitez, Javier, Vroling, Bas, Dunning, Alison M., Teo, Soo Hwang, Kvist, Anders, de la Hoya, Miguel, Devilee, Peter, Spurdle, Amanda B., Vreeswijk, Maaike P. G., and Easton, Douglas F.
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- 2022
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47. Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci
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Chen, Hongjie, Fan, Shaoqi, Stone, Jennifer, Thompson, Deborah J., Douglas, Julie, Li, Shuai, Scott, Christopher, Bolla, Manjeet K., Wang, Qin, Dennis, Joe, Michailidou, Kyriaki, Li, Christopher, Peters, Ulrike, Hopper, John L., Southey, Melissa C., Nguyen-Dumont, Tu, Nguyen, Tuong L., Fasching, Peter A., Behrens, Annika, Cadby, Gemma, Murphy, Rachel A., Aronson, Kristan, Howell, Anthony, Astley, Susan, Couch, Fergus, Olson, Janet, Milne, Roger L., Giles, Graham G., Haiman, Christopher A., Maskarinec, Gertraud, Winham, Stacey, John, Esther M., Kurian, Allison, Eliassen, Heather, Andrulis, Irene, Evans, D. Gareth, Newman, William G., Hall, Per, Czene, Kamila, Swerdlow, Anthony, Jones, Michael, Pollan, Marina, Fernandez-Navarro, Pablo, McConnell, Daniel S., Kristensen, Vessela N., Rothstein, Joseph H., Wang, Pei, Habel, Laurel A., Sieh, Weiva, Dunning, Alison M., Pharoah, Paul D. P., Easton, Douglas F., Gierach, Gretchen L., Tamimi, Rulla M., Vachon, Celine M., and Lindström, Sara
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- 2022
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48. Common variants in breast cancer risk loci predispose to distinct tumor subtypes
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Ahearn, Thomas U., Zhang, Haoyu, Michailidou, Kyriaki, Milne, Roger L., Bolla, Manjeet K., Dennis, Joe, Dunning, Alison M., Lush, Michael, Wang, Qin, Andrulis, Irene L., Anton-Culver, Hoda, Arndt, Volker, Aronson, Kristan J., Auer, Paul L., Augustinsson, Annelie, Baten, Adinda, Becher, Heiko, Behrens, Sabine, Benitez, Javier, Bermisheva, Marina, Blomqvist, Carl, Bojesen, Stig E., Bonanni, Bernardo, Børresen-Dale, Anne-Lise, Brauch, Hiltrud, Brenner, Hermann, Brooks-Wilson, Angela, Brüning, Thomas, Burwinkel, Barbara, Buys, Saundra S., Canzian, Federico, Castelao, Jose E., Chang-Claude, Jenny, Chanock, Stephen J., Chenevix-Trench, Georgia, Clarke, Christine L., Collée, J. Margriet, Cox, Angela, Cross, Simon S., Czene, Kamila, Daly, Mary B., Devilee, Peter, Dörk, Thilo, Dwek, Miriam, Eccles, Diana M., Evans, D. Gareth, Fasching, Peter A., Figueroa, Jonine, Floris, Giuseppe, Gago-Dominguez, Manuela, Gapstur, Susan M., García-Sáenz, José A., Gaudet, Mia M., Giles, Graham G., Goldberg, Mark S., González-Neira, Anna, Alnæs, Grethe I. Grenaker, Grip, Mervi, Guénel, Pascal, Haiman, Christopher A., Hall, Per, Hamann, Ute, Harkness, Elaine F., Heemskerk-Gerritsen, Bernadette A. M., Holleczek, Bernd, Hollestelle, Antoinette, Hooning, Maartje J., Hoover, Robert N., Hopper, John L., Howell, Anthony, Jakimovska, Milena, Jakubowska, Anna, John, Esther M., Jones, Michael E., Jung, Audrey, Kaaks, Rudolf, Kauppila, Saila, Keeman, Renske, Khusnutdinova, Elza, Kitahara, Cari M., Ko, Yon-Dschun, Koutros, Stella, Kristensen, Vessela N., Krüger, Ute, Kubelka-Sabit, Katerina, Kurian, Allison W., Kyriacou, Kyriacos, Lambrechts, Diether, Lee, Derrick G., Lindblom, Annika, Linet, Martha, Lissowska, Jolanta, Llaneza, Ana, Lo, Wing-Yee, MacInnis, Robert J., Mannermaa, Arto, Manoochehri, Mehdi, Margolin, Sara, Martinez, Maria Elena, McLean, Catriona, Meindl, Alfons, Menon, Usha, Nevanlinna, Heli, Newman, William G., Nodora, Jesse, Offit, Kenneth, Olsson, Håkan, Orr, Nick, Park-Simon, Tjoung-Won, Patel, Alpa V., Peto, Julian, Pita, Guillermo, Plaseska-Karanfilska, Dijana, Prentice, Ross, Punie, Kevin, Pylkäs, Katri, Radice, Paolo, Rennert, Gad, Romero, Atocha, Rüdiger, Thomas, Saloustros, Emmanouil, Sampson, Sarah, Sandler, Dale P., Sawyer, Elinor J., Schmutzler, Rita K., Schoemaker, Minouk J., Schöttker, Ben, Sherman, Mark E., Shu, Xiao-Ou, Smichkoska, Snezhana, Southey, Melissa C., Spinelli, John J., Swerdlow, Anthony J., Tamimi, Rulla M., Tapper, William J., Taylor, Jack A., Teras, Lauren R., Terry, Mary Beth, Torres, Diana, Troester, Melissa A., Vachon, Celine M., van Deurzen, Carolien H. M., van Veen, Elke M., Wagner, Philippe, Weinberg, Clarice R., Wendt, Camilla, Wesseling, Jelle, Winqvist, Robert, Wolk, Alicja, Yang, Xiaohong R., Zheng, Wei, Couch, Fergus J., Simard, Jacques, Kraft, Peter, Easton, Douglas F., Pharoah, Paul D. P., Schmidt, Marjanka K., García-Closas, Montserrat, and Chatterjee, Nilanjan
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- 2022
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49. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients
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Giardiello, Daniele, Hooning, Maartje J., Hauptmann, Michael, Keeman, Renske, Heemskerk-Gerritsen, B. A. M., Becher, Heiko, Blomqvist, Carl, Bojesen, Stig E., Bolla, Manjeet K., Camp, Nicola J., Czene, Kamila, Devilee, Peter, Eccles, Diana M., Fasching, Peter A., Figueroa, Jonine D., Flyger, Henrik, García-Closas, Montserrat, Haiman, Christopher A., Hamann, Ute, Hopper, John L., Jakubowska, Anna, Leeuwen, Floor E., Lindblom, Annika, Lubiński, Jan, Margolin, Sara, Martinez, Maria Elena, Nevanlinna, Heli, Nevelsteen, Ines, Pelders, Saskia, Pharoah, Paul D. P., Siesling, Sabine, Southey, Melissa C., van der Hout, Annemieke H., van Hest, Liselotte P., Chang-Claude, Jenny, Hall, Per, Easton, Douglas F., Steyerberg, Ewout W., and Schmidt, Marjanka K.
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- 2022
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50. Breast cancer risks associated with missense variants in breast cancer susceptibility genes
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Leila Dorling, Sara Carvalho, Jamie Allen, Michael T. Parsons, Cristina Fortuno, Anna González-Neira, Stephan M. Heijl, Muriel A. Adank, Thomas U. Ahearn, Irene L. Andrulis, Päivi Auvinen, Heiko Becher, Matthias W. Beckmann, Sabine Behrens, Marina Bermisheva, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Michael Bremer, Ignacio Briceno, Nicola J. Camp, Archie Campbell, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Georgia Chenevix-Trench, NBCS Collaborators, J. Margriet Collée, Kamila Czene, Joe Dennis, Thilo Dörk, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Jonine Figueroa, Henrik Flyger, Marike Gabrielson, Manuela Gago-Dominguez, Montserrat García-Closas, Graham G. Giles, Gord Glendon, Pascal Guénel, Melanie Gündert, Andreas Hadjisavvas, Eric Hahnen, Per Hall, Ute Hamann, Elaine F. Harkness, Mikael Hartman, Frans B. L. Hogervorst, Antoinette Hollestelle, Reiner Hoppe, Anthony Howell, kConFab Investigators, SGBCC Investigators, Anna Jakubowska, Audrey Jung, Elza Khusnutdinova, Sung-Won Kim, Yon-Dschun Ko, Vessela N. Kristensen, Inge M. M. Lakeman, Jingmei Li, Annika Lindblom, Maria A. Loizidou, Artitaya Lophatananon, Jan Lubiński, Craig Luccarini, Michael J. Madsen, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Dimitrios Mavroudis, Roger L. Milne, Nur Aishah Mohd Taib, Kenneth Muir, Heli Nevanlinna, William G. Newman, Jan C. Oosterwijk, Sue K. Park, Paolo Peterlongo, Paolo Radice, Emmanouil Saloustros, Elinor J. Sawyer, Rita K. Schmutzler, Mitul Shah, Xueling Sim, Melissa C. Southey, Harald Surowy, Maija Suvanto, Ian Tomlinson, Diana Torres, Thérèse Truong, Christi J. van Asperen, Regina Waltes, Qin Wang, Xiaohong R. Yang, Paul D. P. Pharoah, Marjanka K. Schmidt, Javier Benitez, Bas Vroling, Alison M. Dunning, Soo Hwang Teo, Anders Kvist, Miguel de la Hoya, Peter Devilee, Amanda B. Spurdle, Maaike P. G. Vreeswijk, and Douglas F. Easton
- Subjects
Breast cancer ,Genetic epidemiology ,Risk prediction ,Missense variants ,Medicine ,Genetics ,QH426-470 - Abstract
Abstract Background Protein truncating variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 are associated with increased breast cancer risk, but risks associated with missense variants in these genes are uncertain. Methods We analyzed data on 59,639 breast cancer cases and 53,165 controls from studies participating in the Breast Cancer Association Consortium BRIDGES project. We sampled training (80%) and validation (20%) sets to analyze rare missense variants in ATM (1146 training variants), BRCA1 (644), BRCA2 (1425), CHEK2 (325), and PALB2 (472). We evaluated breast cancer risks according to five in silico prediction-of-deleteriousness algorithms, functional protein domain, and frequency, using logistic regression models and also mixture models in which a subset of variants was assumed to be risk-associated. Results The most predictive in silico algorithms were Helix (BRCA1, BRCA2 and CHEK2) and CADD (ATM). Increased risks appeared restricted to functional protein domains for ATM (FAT and PIK domains) and BRCA1 (RING and BRCT domains). For ATM, BRCA1, and BRCA2, data were compatible with small subsets (approximately 7%, 2%, and 0.6%, respectively) of rare missense variants giving similar risk to those of protein truncating variants in the same gene. For CHEK2, data were more consistent with a large fraction (approximately 60%) of rare missense variants giving a lower risk (OR 1.75, 95% CI (1.47–2.08)) than CHEK2 protein truncating variants. There was little evidence for an association with risk for missense variants in PALB2. The best fitting models were well calibrated in the validation set. Conclusions These results will inform risk prediction models and the selection of candidate variants for functional assays and could contribute to the clinical reporting of gene panel testing for breast cancer susceptibility.
- Published
- 2022
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