دورية أكاديمية

PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants.

التفاصيل البيبلوغرافية
العنوان: PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants.
المؤلفون: 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, HEBON investigators, 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 DP, Schmidt, Marjanka K, Blomqvist, Carl, Nevanlinna, Heli
بيانات النشر: Springer Science and Business Media LLC
//dx.doi.org/10.1038/s41523-023-00546-x
NPJ Breast Cancer
سنة النشر: 2023
المجموعة: Apollo - University of Cambridge Repository
مصطلحات موضوعية: HEBON investigators
الوصف: Acknowledgements: We thank all the individuals who took part in these studies and all the researchers, clinicians, technicians and administrative staff who have enabled this work to be carried out. The CIMBA data management and data analysis were supported by Cancer Research – UK grants C12292/A20861, C12292/A11174. BCAC is funded by the European Union Horizon 2020 Research and Innovation Programme (grant number 634935), and the PERSPECTIVE project, funded by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the Ministère de l’Économie et de Innovation du Québec through Genome Québec, the Quebec Breast Cancer Foundation. The EU Horizon 2020 Research and Innovation Programme funding source had no role in study design, data collection, data analysis, data interpretation, or writing of the report. Additional funding for BCAC is provided via the Confluence project which is funded with intramural funds from the National Cancer Institute Intramural Research Program, National Institutes of Health. The BRIDGES panel sequencing was supported by the European Union Horizon 2020 research and innovation program BRIDGES (grant number, 634935) and the Wellcome Trust (v203477/Z/16/Z). HEBCS (T.A.M. and H.Ne.) was funded by the Helsinki University Hospital Research Fund, the Sigrid Jusélius Foundation, and the Cancer Foundation Finland. Detailed acknowledgements of individual studies with funding information are provided in Supplementary Note 1. ; 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 ...
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf; text/xml
اللغة: English
العلاقة: https://www.repository.cam.ac.uk/handle/1810/349851Test
الإتاحة: https://www.repository.cam.ac.uk/handle/1810/349851Test
حقوق: Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.57D2C548
قاعدة البيانات: BASE