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https://doi.org/10.1016/j.ejca.2022.06.011
Title: | Incorporating progesterone receptor expression into the PREDICT breast prognostic model | Authors: | Grootes, Isabelle Keeman, Renske Blows, Fiona M Milne, Roger L Giles, Graham G Swerdlow, Anthony J Fasching, Peter A Abubakar, Mustapha Andrulis, Irene L Anton-Culver, Hoda Beckmann, Matthias W Blomqvist, Carl Bojesen, Stig E Bolla, Manjeet K Bonanni, Bernardo Briceno, Ignacio Burwinkel, Barbara Camp, Nicola J Castelao, Jose E Choi, Ji-Yeob Clarke, Christine L Couch, Fergus J Cox, Angela Cross, Simon S Czene, Kamila Devilee, Peter Dork, Thilo Dunning, Alison M Dwek, Miriam Easton, Douglas F Eccles, Diana M Eriksson, Mikael Ernst, Kristina Evans, D Gareth Figueroa, Jonine D Fink, Visnja Floris, Giuseppe Fox, Stephen Gabrielson, Marike Gago-Dominguez, Manuela Garcia-Saenz, Jose A Gonzalez-Neira, Anna Haeberle, Lothar Haiman, Christopher A Hall, Per Hamann, Ute Harkness, Elaine F Hartman, Mikael Hein, Alexander Hooning, Maartje J Hou, Ming-Feng Howell, Sacha J Ito, Hidemi Jakubowska, Anna Janni, Wolfgang John, Esther M Jung, Audrey Kang, Daehee Kristensen, Vessela N Kwong, Ava Lambrechts, Diether Li, Jingmei Manoochehri, Mehdi Margolin, Sara Matsuo, Keitaro Taib, Nur Aishah Mohd Mulligan, Anna Marie Nevanlinna, Heli Newman, William G Offit, Kenneth Osorio, Ana Park, Sue K Park-Simon, Tjoung-Won Patel, Alpa Presneau, Nadege Pylkas, Katri Rack, Brigitte Radice, Paolo Rennert, Gad Romero, Atocha Saloustros, Emmanouil Sawyer, Elinor J Schneeweiss, Andreas Schochter, Fabienne Schoemaker, Minouk J Shen, Chen-Yang Shibli, Rana Sinn, Peter Tapper, William J Tawfiq, Essa Teo, Soo Hwang Teras, Lauren R Torres, Diana Vachon, Celine M van Deurzen, Carolien HM Wendt, Camilla Williams, Justin A Winqvist, Robert Elwood, Mark Schmidt, Marjanka K Pharoah, Paul DP |
Keywords: | Science & Technology Life Sciences & Biomedicine Oncology Prognosis PREDICT Breast breast cancer Progesterone receptor ADJUVANT TAMOXIFEN ESTROGEN-RECEPTOR CANCER PATIENTS THERAPY |
Issue Date: | Sep-2022 | Publisher: | ELSEVIER SCI LTD | Citation: | Grootes, Isabelle, Keeman, Renske, Blows, Fiona M, Milne, Roger L, Giles, Graham G, Swerdlow, Anthony J, Fasching, Peter A, Abubakar, Mustapha, Andrulis, Irene L, Anton-Culver, Hoda, Beckmann, Matthias W, Blomqvist, Carl, Bojesen, Stig E, Bolla, Manjeet K, Bonanni, Bernardo, Briceno, Ignacio, Burwinkel, Barbara, Camp, Nicola J, Castelao, Jose E, Choi, Ji-Yeob, Clarke, Christine L, Couch, Fergus J, Cox, Angela, Cross, Simon S, Czene, Kamila, Devilee, Peter, Dork, Thilo, Dunning, Alison M, Dwek, Miriam, Easton, Douglas F, Eccles, Diana M, Eriksson, Mikael, Ernst, Kristina, Evans, D Gareth, Figueroa, Jonine D, Fink, Visnja, Floris, Giuseppe, Fox, Stephen, Gabrielson, Marike, Gago-Dominguez, Manuela, Garcia-Saenz, Jose A, Gonzalez-Neira, Anna, Haeberle, Lothar, Haiman, Christopher A, Hall, Per, Hamann, Ute, Harkness, Elaine F, Hartman, Mikael, Hein, Alexander, Hooning, Maartje J, Hou, Ming-Feng, Howell, Sacha J, Ito, Hidemi, Jakubowska, Anna, Janni, Wolfgang, John, Esther M, Jung, Audrey, Kang, Daehee, Kristensen, Vessela N, Kwong, Ava, Lambrechts, Diether, Li, Jingmei, Manoochehri, Mehdi, Margolin, Sara, Matsuo, Keitaro, Taib, Nur Aishah Mohd, Mulligan, Anna Marie, Nevanlinna, Heli, Newman, William G, Offit, Kenneth, Osorio, Ana, Park, Sue K, Park-Simon, Tjoung-Won, Patel, Alpa, Presneau, Nadege, Pylkas, Katri, Rack, Brigitte, Radice, Paolo, Rennert, Gad, Romero, Atocha, Saloustros, Emmanouil, Sawyer, Elinor J, Schneeweiss, Andreas, Schochter, Fabienne, Schoemaker, Minouk J, Shen, Chen-Yang, Shibli, Rana, Sinn, Peter, Tapper, William J, Tawfiq, Essa, Teo, Soo Hwang, Teras, Lauren R, Torres, Diana, Vachon, Celine M, van Deurzen, Carolien HM, Wendt, Camilla, Williams, Justin A, Winqvist, Robert, Elwood, Mark, Schmidt, Marjanka K, Pharoah, Paul DP (2022-09). Incorporating progesterone receptor expression into the PREDICT breast prognostic model. EUROPEAN JOURNAL OF CANCER 173 : 178-193. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejca.2022.06.011 | Abstract: | Background: 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). Method: The prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model performance. Results: Having a PR-positive tumour was associated with a 23% and 28% lower risk of dying from breast cancer for women with oestrogen receptor (ER)-negative and ER-positive breast cancer, respectively. The area under the ROC curve increased with the addition of PR status from 0.807 to 0.809 for patients with ER-negative tumours (p = 0.023) and from 0.898 to 0.902 for patients with ER-positive tumours (p = 2.3 × 10−6) in the New Zealand cohort. Model calibration was modest with 940 observed deaths compared to 1151 predicted. Conclusion: The inclusion of the prognostic effect of PR status to PREDICT Breast has led to an improvement of model performance and more accurate absolute treatment benefit predictions for individual patients. Further studies should determine whether the baseline hazard function requires recalibration. | Source Title: | EUROPEAN JOURNAL OF CANCER | URI: | https://scholarbank.nus.edu.sg/handle/10635/246071 | ISSN: | 0959-8049 1879-0852 |
DOI: | 10.1016/j.ejca.2022.06.011 |
Appears in Collections: | Staff Publications Elements |
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