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PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2

BACKGROUND: Predict (www.predict.nhs.uk) is an online, breast cancer prognostication and treatment benefit tool. The aim of this study was to incorporate the prognostic effect of HER2 status in a new version (Predict+), and to compare its performance with the original Predict and Adjuvant!. METHODS:...

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Autores principales: Wishart, G C, Bajdik, C D, Dicks, E, Provenzano, E, Schmidt, M K, Sherman, M, Greenberg, D C, Green, A R, Gelmon, K A, Kosma, V-M, Olson, J E, Beckmann, M W, Winqvist, R, Cross, S S, Severi, G, Huntsman, D, Pylkäs, K, Ellis, I, Nielsen, T O, Giles, G, Blomqvist, C, Fasching, P A, Couch, F J, Rakha, E, Foulkes, W D, Blows, F M, Bégin, L R, van't Veer, L J, Southey, M, Nevanlinna, H, Mannermaa, A, Cox, A, Cheang, M, Baglietto, L, Caldas, C, Garcia-Closas, M, Pharoah, P D P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3425970/
https://www.ncbi.nlm.nih.gov/pubmed/22850554
http://dx.doi.org/10.1038/bjc.2012.338
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author Wishart, G C
Bajdik, C D
Dicks, E
Provenzano, E
Schmidt, M K
Sherman, M
Greenberg, D C
Green, A R
Gelmon, K A
Kosma, V-M
Olson, J E
Beckmann, M W
Winqvist, R
Cross, S S
Severi, G
Huntsman, D
Pylkäs, K
Ellis, I
Nielsen, T O
Giles, G
Blomqvist, C
Fasching, P A
Couch, F J
Rakha, E
Foulkes, W D
Blows, F M
Bégin, L R
van't Veer, L J
Southey, M
Nevanlinna, H
Mannermaa, A
Cox, A
Cheang, M
Baglietto, L
Caldas, C
Garcia-Closas, M
Pharoah, P D P
author_facet Wishart, G C
Bajdik, C D
Dicks, E
Provenzano, E
Schmidt, M K
Sherman, M
Greenberg, D C
Green, A R
Gelmon, K A
Kosma, V-M
Olson, J E
Beckmann, M W
Winqvist, R
Cross, S S
Severi, G
Huntsman, D
Pylkäs, K
Ellis, I
Nielsen, T O
Giles, G
Blomqvist, C
Fasching, P A
Couch, F J
Rakha, E
Foulkes, W D
Blows, F M
Bégin, L R
van't Veer, L J
Southey, M
Nevanlinna, H
Mannermaa, A
Cox, A
Cheang, M
Baglietto, L
Caldas, C
Garcia-Closas, M
Pharoah, P D P
author_sort Wishart, G C
collection PubMed
description BACKGROUND: Predict (www.predict.nhs.uk) is an online, breast cancer prognostication and treatment benefit tool. The aim of this study was to incorporate the prognostic effect of HER2 status in a new version (Predict+), and to compare its performance with the original Predict and Adjuvant!. METHODS: The prognostic effect of HER2 status was based on an analysis of data from 10 179 breast cancer patients from 14 studies in the Breast Cancer Association Consortium. The hazard ratio estimates were incorporated into Predict. The validation study was based on 1653 patients with early-stage invasive breast cancer identified from the British Columbia Breast Cancer Outcomes Unit. Predicted overall survival (OS) and breast cancer-specific survival (BCSS) for Predict+, Predict and Adjuvant! were compared with observed outcomes. RESULTS: All three models performed well for both OS and BCSS. Both Predict models provided better BCSS estimates than Adjuvant!. In the subset of patients with HER2-positive tumours, Predict+ performed substantially better than the other two models for both OS and BCSS. CONCLUSION: Predict+ is the first clinical breast cancer prognostication tool that includes tumour HER2 status. Use of the model might lead to more accurate absolute treatment benefit predictions for individual patients.
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spelling pubmed-34259702013-08-21 PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2 Wishart, G C Bajdik, C D Dicks, E Provenzano, E Schmidt, M K Sherman, M Greenberg, D C Green, A R Gelmon, K A Kosma, V-M Olson, J E Beckmann, M W Winqvist, R Cross, S S Severi, G Huntsman, D Pylkäs, K Ellis, I Nielsen, T O Giles, G Blomqvist, C Fasching, P A Couch, F J Rakha, E Foulkes, W D Blows, F M Bégin, L R van't Veer, L J Southey, M Nevanlinna, H Mannermaa, A Cox, A Cheang, M Baglietto, L Caldas, C Garcia-Closas, M Pharoah, P D P Br J Cancer Clinical Study BACKGROUND: Predict (www.predict.nhs.uk) is an online, breast cancer prognostication and treatment benefit tool. The aim of this study was to incorporate the prognostic effect of HER2 status in a new version (Predict+), and to compare its performance with the original Predict and Adjuvant!. METHODS: The prognostic effect of HER2 status was based on an analysis of data from 10 179 breast cancer patients from 14 studies in the Breast Cancer Association Consortium. The hazard ratio estimates were incorporated into Predict. The validation study was based on 1653 patients with early-stage invasive breast cancer identified from the British Columbia Breast Cancer Outcomes Unit. Predicted overall survival (OS) and breast cancer-specific survival (BCSS) for Predict+, Predict and Adjuvant! were compared with observed outcomes. RESULTS: All three models performed well for both OS and BCSS. Both Predict models provided better BCSS estimates than Adjuvant!. In the subset of patients with HER2-positive tumours, Predict+ performed substantially better than the other two models for both OS and BCSS. CONCLUSION: Predict+ is the first clinical breast cancer prognostication tool that includes tumour HER2 status. Use of the model might lead to more accurate absolute treatment benefit predictions for individual patients. Nature Publishing Group 2012-08-21 2012-07-31 /pmc/articles/PMC3425970/ /pubmed/22850554 http://dx.doi.org/10.1038/bjc.2012.338 Text en Copyright © 2012 Cancer Research UK https://creativecommons.org/licenses/by-nc-sa/3.0/From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Clinical Study
Wishart, G C
Bajdik, C D
Dicks, E
Provenzano, E
Schmidt, M K
Sherman, M
Greenberg, D C
Green, A R
Gelmon, K A
Kosma, V-M
Olson, J E
Beckmann, M W
Winqvist, R
Cross, S S
Severi, G
Huntsman, D
Pylkäs, K
Ellis, I
Nielsen, T O
Giles, G
Blomqvist, C
Fasching, P A
Couch, F J
Rakha, E
Foulkes, W D
Blows, F M
Bégin, L R
van't Veer, L J
Southey, M
Nevanlinna, H
Mannermaa, A
Cox, A
Cheang, M
Baglietto, L
Caldas, C
Garcia-Closas, M
Pharoah, P D P
PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2
title PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2
title_full PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2
title_fullStr PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2
title_full_unstemmed PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2
title_short PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2
title_sort predict plus: development and validation of a prognostic model for early breast cancer that includes her2
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3425970/
https://www.ncbi.nlm.nih.gov/pubmed/22850554
http://dx.doi.org/10.1038/bjc.2012.338
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