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Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort

OBJECTIVES: Evaluate the accuracy of the Breast Cancer Risk Assessment Tool (BCRAT), International Breast Cancer Intervention Study risk evaluation tool (IBIS), Polygenic Risk Scores (PRS) and combined scores (BCRAT+PRS and IBIS +PRS) to predict the occurrence of invasive breast cancers at 5 years i...

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Autores principales: Jantzen, Rodolphe, Payette, Yves, de Malliard, Thibault, Labbé, Catherine, Noisel, Nolwenn, Broët, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047995/
https://www.ncbi.nlm.nih.gov/pubmed/33846154
http://dx.doi.org/10.1136/bmjopen-2020-045078
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author Jantzen, Rodolphe
Payette, Yves
de Malliard, Thibault
Labbé, Catherine
Noisel, Nolwenn
Broët, Philippe
author_facet Jantzen, Rodolphe
Payette, Yves
de Malliard, Thibault
Labbé, Catherine
Noisel, Nolwenn
Broët, Philippe
author_sort Jantzen, Rodolphe
collection PubMed
description OBJECTIVES: Evaluate the accuracy of the Breast Cancer Risk Assessment Tool (BCRAT), International Breast Cancer Intervention Study risk evaluation tool (IBIS), Polygenic Risk Scores (PRS) and combined scores (BCRAT+PRS and IBIS +PRS) to predict the occurrence of invasive breast cancers at 5 years in a French-Canadian population. DESIGN: Population-based cohort study. SETTING: We used the population-based cohort CARTaGENE, composed of 43 037 Quebec residents aged between 40 and 69 years and broadly representative of the population recorded on the Quebec administrative health insurance registries. PARTICIPANTS: 10 200 women recruited in 2009–2010 were included for validating BCRAT and IBIS and 4555 with genetic information for validating the PRS and combined scores. OUTCOME MEASURES: We computed the absolute risks of breast cancer at 5 years using BCRAT, IBIS, four published PRS and combined models. We reported the overall calibration performance, goodness-of-fit test and discriminatory accuracy. RESULTS: 131 (1.28%) women developed a breast cancer at 5 years for validating BCRAT and IBIS and 58 (1.27%) for validating PRS and combined scores. Median follow-up was 5 years. BCRAT and IBIS had an overall expected-to-observed ratio of 1.01 (0.85–1.19) and 1.02 (0.86–1.21) but with significant differences when partitioning by risk groups (p<0.05). IBIS’ c-index was significantly higher than BCRAT (63.42 (59.35–67.49) vs 58.63 (54.05–63.21), p=0.013). PRS scores had a global calibration around 0.82, with a CI including one, and non-significant goodness-of-fit tests. PRS’ c-indexes were non-significantly higher than BCRAT and IBIS, the highest being 64.43 (58.23–70.63). Combined models did not improve the results. CONCLUSIONS: In this French-Canadian population-based cohort, BCRAT and IBIS have good mean calibration that could be improved for risk subgroups, and modest discriminatory accuracy. Despite this modest discriminatory power, these tools can be of interest for primary care physicians for delivering a personalised message to their high-risk patients, regarding screening and lifestyle counselling.
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spelling pubmed-80479952021-04-28 Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort Jantzen, Rodolphe Payette, Yves de Malliard, Thibault Labbé, Catherine Noisel, Nolwenn Broët, Philippe BMJ Open Public Health OBJECTIVES: Evaluate the accuracy of the Breast Cancer Risk Assessment Tool (BCRAT), International Breast Cancer Intervention Study risk evaluation tool (IBIS), Polygenic Risk Scores (PRS) and combined scores (BCRAT+PRS and IBIS +PRS) to predict the occurrence of invasive breast cancers at 5 years in a French-Canadian population. DESIGN: Population-based cohort study. SETTING: We used the population-based cohort CARTaGENE, composed of 43 037 Quebec residents aged between 40 and 69 years and broadly representative of the population recorded on the Quebec administrative health insurance registries. PARTICIPANTS: 10 200 women recruited in 2009–2010 were included for validating BCRAT and IBIS and 4555 with genetic information for validating the PRS and combined scores. OUTCOME MEASURES: We computed the absolute risks of breast cancer at 5 years using BCRAT, IBIS, four published PRS and combined models. We reported the overall calibration performance, goodness-of-fit test and discriminatory accuracy. RESULTS: 131 (1.28%) women developed a breast cancer at 5 years for validating BCRAT and IBIS and 58 (1.27%) for validating PRS and combined scores. Median follow-up was 5 years. BCRAT and IBIS had an overall expected-to-observed ratio of 1.01 (0.85–1.19) and 1.02 (0.86–1.21) but with significant differences when partitioning by risk groups (p<0.05). IBIS’ c-index was significantly higher than BCRAT (63.42 (59.35–67.49) vs 58.63 (54.05–63.21), p=0.013). PRS scores had a global calibration around 0.82, with a CI including one, and non-significant goodness-of-fit tests. PRS’ c-indexes were non-significantly higher than BCRAT and IBIS, the highest being 64.43 (58.23–70.63). Combined models did not improve the results. CONCLUSIONS: In this French-Canadian population-based cohort, BCRAT and IBIS have good mean calibration that could be improved for risk subgroups, and modest discriminatory accuracy. Despite this modest discriminatory power, these tools can be of interest for primary care physicians for delivering a personalised message to their high-risk patients, regarding screening and lifestyle counselling. BMJ Publishing Group 2021-04-12 /pmc/articles/PMC8047995/ /pubmed/33846154 http://dx.doi.org/10.1136/bmjopen-2020-045078 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Jantzen, Rodolphe
Payette, Yves
de Malliard, Thibault
Labbé, Catherine
Noisel, Nolwenn
Broët, Philippe
Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort
title Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort
title_full Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort
title_fullStr Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort
title_full_unstemmed Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort
title_short Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort
title_sort validation of breast cancer risk assessment tools on a french-canadian population-based cohort
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8047995/
https://www.ncbi.nlm.nih.gov/pubmed/33846154
http://dx.doi.org/10.1136/bmjopen-2020-045078
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