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Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry

BACKGROUND: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have recently been extended to include polygenic risk scores (PRS). In addition, BOADICEA...

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Autores principales: Pal Choudhury, Parichoy, Brook, Mark N., Hurson, Amber N., Lee, Andrew, Mulder, Charlotta V., Coulson, Penny, Schoemaker, Minouk J., Jones, Michael E., Swerdlow, Anthony J., Chatterjee, Nilanjan, Antoniou, Antonis C., Garcia-Closas, Montserrat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885342/
https://www.ncbi.nlm.nih.gov/pubmed/33588869
http://dx.doi.org/10.1186/s13058-021-01399-7
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author Pal Choudhury, Parichoy
Brook, Mark N.
Hurson, Amber N.
Lee, Andrew
Mulder, Charlotta V.
Coulson, Penny
Schoemaker, Minouk J.
Jones, Michael E.
Swerdlow, Anthony J.
Chatterjee, Nilanjan
Antoniou, Antonis C.
Garcia-Closas, Montserrat
author_facet Pal Choudhury, Parichoy
Brook, Mark N.
Hurson, Amber N.
Lee, Andrew
Mulder, Charlotta V.
Coulson, Penny
Schoemaker, Minouk J.
Jones, Michael E.
Swerdlow, Anthony J.
Chatterjee, Nilanjan
Antoniou, Antonis C.
Garcia-Closas, Montserrat
author_sort Pal Choudhury, Parichoy
collection PubMed
description BACKGROUND: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have recently been extended to include polygenic risk scores (PRS). In addition, BOADICEA has also been extended to include reproductive and lifestyle factors, which were already part of Tyrer-Cuzick model. We conducted a comparative prospective validation of these models after incorporating the recently developed 313-variant PRS. METHODS: Calibration and discrimination of 5-year absolute risk was assessed in a nested case-control sample of 1337 women of European ancestry (619 incident breast cancer cases) aged 23–75 years from the Generations Study. RESULTS: The extended BOADICEA model with reproductive/lifestyle factors and PRS was well calibrated across risk deciles; expected-to-observed ratio (E/O) at the highest risk decile :0.97 (95 % CI 0.51 − 1.86) for women younger than 50 years and 1.09 (0.66 − 1.80) for women 50 years or older. Adding reproductive/lifestyle factors and PRS to the BOADICEA model improved discrimination modestly in younger women (area under the curve (AUC) 69.7 % vs. 69.1%) and substantially in older women (AUC 64.6 % vs. 56.8%). The Tyrer-Cuzick model with PRS showed evidence of overestimation at the highest risk decile: E/O = 1.54(0.81 − 2.92) for younger and 1.73 (1.03 − 2.90) for older women. CONCLUSION: The extended BOADICEA model identified women in a European-ancestry population at elevated breast cancer risk more accurately than the Tyrer-Cuzick model with PRS. With the increasing availability of PRS, these analyses can inform choice of risk models incorporating PRS for risk stratified breast cancer prevention among women of European ancestry. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-021-01399-7.
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spelling pubmed-78853422021-02-17 Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry Pal Choudhury, Parichoy Brook, Mark N. Hurson, Amber N. Lee, Andrew Mulder, Charlotta V. Coulson, Penny Schoemaker, Minouk J. Jones, Michael E. Swerdlow, Anthony J. Chatterjee, Nilanjan Antoniou, Antonis C. Garcia-Closas, Montserrat Breast Cancer Res Short Report BACKGROUND: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) and the Tyrer-Cuzick breast cancer risk prediction models are commonly used in clinical practice and have recently been extended to include polygenic risk scores (PRS). In addition, BOADICEA has also been extended to include reproductive and lifestyle factors, which were already part of Tyrer-Cuzick model. We conducted a comparative prospective validation of these models after incorporating the recently developed 313-variant PRS. METHODS: Calibration and discrimination of 5-year absolute risk was assessed in a nested case-control sample of 1337 women of European ancestry (619 incident breast cancer cases) aged 23–75 years from the Generations Study. RESULTS: The extended BOADICEA model with reproductive/lifestyle factors and PRS was well calibrated across risk deciles; expected-to-observed ratio (E/O) at the highest risk decile :0.97 (95 % CI 0.51 − 1.86) for women younger than 50 years and 1.09 (0.66 − 1.80) for women 50 years or older. Adding reproductive/lifestyle factors and PRS to the BOADICEA model improved discrimination modestly in younger women (area under the curve (AUC) 69.7 % vs. 69.1%) and substantially in older women (AUC 64.6 % vs. 56.8%). The Tyrer-Cuzick model with PRS showed evidence of overestimation at the highest risk decile: E/O = 1.54(0.81 − 2.92) for younger and 1.73 (1.03 − 2.90) for older women. CONCLUSION: The extended BOADICEA model identified women in a European-ancestry population at elevated breast cancer risk more accurately than the Tyrer-Cuzick model with PRS. With the increasing availability of PRS, these analyses can inform choice of risk models incorporating PRS for risk stratified breast cancer prevention among women of European ancestry. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13058-021-01399-7. BioMed Central 2021-02-15 2021 /pmc/articles/PMC7885342/ /pubmed/33588869 http://dx.doi.org/10.1186/s13058-021-01399-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Short Report
Pal Choudhury, Parichoy
Brook, Mark N.
Hurson, Amber N.
Lee, Andrew
Mulder, Charlotta V.
Coulson, Penny
Schoemaker, Minouk J.
Jones, Michael E.
Swerdlow, Anthony J.
Chatterjee, Nilanjan
Antoniou, Antonis C.
Garcia-Closas, Montserrat
Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry
title Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry
title_full Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry
title_fullStr Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry
title_full_unstemmed Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry
title_short Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry
title_sort comparative validation of the boadicea and tyrer-cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of european ancestry
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7885342/
https://www.ncbi.nlm.nih.gov/pubmed/33588869
http://dx.doi.org/10.1186/s13058-021-01399-7
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