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Incorporating progesterone receptor expression into the PREDICT breast prognostic model

2022; Elsevier BV; Volume: 173; Linguagem: Inglês

10.1016/j.ejca.2022.06.011

1879-0852

Isabelle Grootes, Renske Keeman, Fiona M. Blows, Roger L. Milne, Graham G. Giles, Anthony J. Swerdlow, Peter A. Fasching, Mustapha Abubakar, Irene L. Andrulis, Hoda Anton‐Culver, Matthias W. Beckmann, Carl Blomqvist, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Ignacio Briceño, Barbara Burwinkel, Nicola J. Camp, Jose E. Castelao, Ji‐Yeob Choi, Christine L. Clarke, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Peter Devilee, Thilo Dörk, Alison M. Dunning, Miriam Dwek, Douglas F. Easton, Diana Eccles, Mikael Eriksson, Kristina Ernst, D. Gareth Evans, Jonine D. Figueroa, Visnja Fink, Giuseppe Floris, Stephen B. Fox, Marike Gabrielson, Manuela Gago‐Dominguez, José Á. García-Sáenz, Anna González‐Neira, Lothar Haeberle, Christopher A. Haiman, Per Hall, Ute Hamann, Elaine F. Harkness, Mikael Hartman, Alexander Hein, Maartje J. Hooning, Ming‐Feng Hou, Sacha J. Howell, Hidemi Ito, Anna Jakubowska, Wolfgang Janni, Esther M. John, Audrey Jung, Daehee Kang, Vessela N. Kristensen, Ava Kwong, Diether Lambrechts, Jingmei Li, Jan Lubiński, Mehdi Manoochehri, Sara Margolin, Keitaro Matsuo, Nur Aishah Mohd Taib, Anna Marie Mulligan, Heli Nevanlinna, William G. Newman, Kenneth Offit, Ana Osório, Sue K. Park, Tjoung‐Won Park‐Simon, Alpa V. Patel, Nadège Presneau, Katri Pylkäs, Brigitte Rack, Paolo Radice, Gad Rennert, Atocha Romero, Emmanouil Saloustros, Elinor J. Sawyer, Andreas Schneeweiß, Fabienne Schochter, Minouk J. Schoemaker, Chen‐Yang Shen, Rana Shibli, Hans‐Peter Sinn, William Tapper, Essa Tawfiq, Soo‐Hwang Teo, Lauren R. Teras, Diana Torres, Celine M. Vachon, Carolien H. M. van Deurzen, Camilla Wendt, Justin A. Williams, Robert Winqvist, Mark Elwood, Marjanka K. Schmidt, Montserrat García‐Closas, Paul D.P. Pharoah,

Breast Lesions and Carcinomas

Predict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).