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Breast density and breast cancer-specific survival by detection mode

BACKGROUND: Breast density is known to affect breast cancer risk and screening sensitivity, but it may also be associated with breast cancer survival. The interpretation of results from previous studies on breast density and survival is complicated by the association between detection mode and survi...

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Autores principales: van der Waal, Daniëlle, Verbeek, André L. M., Broeders, Mireille J. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5885304/
https://www.ncbi.nlm.nih.gov/pubmed/29618328
http://dx.doi.org/10.1186/s12885-018-4316-7
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author van der Waal, Daniëlle
Verbeek, André L. M.
Broeders, Mireille J. M.
author_facet van der Waal, Daniëlle
Verbeek, André L. M.
Broeders, Mireille J. M.
author_sort van der Waal, Daniëlle
collection PubMed
description BACKGROUND: Breast density is known to affect breast cancer risk and screening sensitivity, but it may also be associated with breast cancer survival. The interpretation of results from previous studies on breast density and survival is complicated by the association between detection mode and survival. Here, we studied the effect of breast density on breast cancer-specific survival for different detection modes (screen-detected, interval ≤ 24 or > 24 months, non-participant). METHODS: Data from the Nijmegen (Dutch) breast cancer screening programme were used. Women diagnosed with invasive breast cancer between 1975 and 2011 were included. Breast density was assessed visually, based on a dichotomized Wolfe scale: ‘fatty breasts’ (≤25%) and ‘dense breasts’ (> 25%). Cox proportional hazard regression was used to obtain hazard ratios (HR). RESULTS: We identified 2742 eligible women, with a breast pattern available for 2233 women. A diagnosis of interval cancer (HR 2.06, 95% CI 1.62–2.61) led to a significantly increased risk of breast cancer death compared with screen-detected cancer. No significant cause-specific survival difference between women with dense and fatty breasts was observed (HR 0.94, 95% CI 0.77–1.15). The hazard was only higher for women with dense breasts among interval cancers ≤24 m (HR 1.07, 95% CI 0.74–1.56). The hazard appeared to be lower for women with dense breasts than for women with fatty breasts among screen-detected (HR 0.77, 95% CI 0.53–1.11) and interval cancers > 24 m (HR 0.80, 95% CI 0.53–1.20). None of the effects were statistically significant. CONCLUSIONS: Detection mode is strongly associated with breast cancer death. No clear association is apparent between breast density and breast cancer death, regardless of detection mode.
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spelling pubmed-58853042018-04-09 Breast density and breast cancer-specific survival by detection mode van der Waal, Daniëlle Verbeek, André L. M. Broeders, Mireille J. M. BMC Cancer Research Article BACKGROUND: Breast density is known to affect breast cancer risk and screening sensitivity, but it may also be associated with breast cancer survival. The interpretation of results from previous studies on breast density and survival is complicated by the association between detection mode and survival. Here, we studied the effect of breast density on breast cancer-specific survival for different detection modes (screen-detected, interval ≤ 24 or > 24 months, non-participant). METHODS: Data from the Nijmegen (Dutch) breast cancer screening programme were used. Women diagnosed with invasive breast cancer between 1975 and 2011 were included. Breast density was assessed visually, based on a dichotomized Wolfe scale: ‘fatty breasts’ (≤25%) and ‘dense breasts’ (> 25%). Cox proportional hazard regression was used to obtain hazard ratios (HR). RESULTS: We identified 2742 eligible women, with a breast pattern available for 2233 women. A diagnosis of interval cancer (HR 2.06, 95% CI 1.62–2.61) led to a significantly increased risk of breast cancer death compared with screen-detected cancer. No significant cause-specific survival difference between women with dense and fatty breasts was observed (HR 0.94, 95% CI 0.77–1.15). The hazard was only higher for women with dense breasts among interval cancers ≤24 m (HR 1.07, 95% CI 0.74–1.56). The hazard appeared to be lower for women with dense breasts than for women with fatty breasts among screen-detected (HR 0.77, 95% CI 0.53–1.11) and interval cancers > 24 m (HR 0.80, 95% CI 0.53–1.20). None of the effects were statistically significant. CONCLUSIONS: Detection mode is strongly associated with breast cancer death. No clear association is apparent between breast density and breast cancer death, regardless of detection mode. BioMed Central 2018-04-05 /pmc/articles/PMC5885304/ /pubmed/29618328 http://dx.doi.org/10.1186/s12885-018-4316-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
van der Waal, Daniëlle
Verbeek, André L. M.
Broeders, Mireille J. M.
Breast density and breast cancer-specific survival by detection mode
title Breast density and breast cancer-specific survival by detection mode
title_full Breast density and breast cancer-specific survival by detection mode
title_fullStr Breast density and breast cancer-specific survival by detection mode
title_full_unstemmed Breast density and breast cancer-specific survival by detection mode
title_short Breast density and breast cancer-specific survival by detection mode
title_sort breast density and breast cancer-specific survival by detection mode
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5885304/
https://www.ncbi.nlm.nih.gov/pubmed/29618328
http://dx.doi.org/10.1186/s12885-018-4316-7
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