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Breast cancer risk factors and their effects on survival: a Mendelian randomisation study

BACKGROUND: Observational studies have investigated the association of risk factors with breast cancer prognosis. However, the results have been conflicting and it has been challenging to establish causality due to potential residual confounding. Using a Mendelian randomisation (MR) approach, we aim...

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Autores principales: Escala-Garcia, Maria, Morra, Anna, Canisius, Sander, Chang-Claude, Jenny, Kar, Siddhartha, Zheng, Wei, Bojesen, Stig E., Easton, Doug, Pharoah, Paul D. P., Schmidt, Marjanka K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670589/
https://www.ncbi.nlm.nih.gov/pubmed/33198768
http://dx.doi.org/10.1186/s12916-020-01797-2
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author Escala-Garcia, Maria
Morra, Anna
Canisius, Sander
Chang-Claude, Jenny
Kar, Siddhartha
Zheng, Wei
Bojesen, Stig E.
Easton, Doug
Pharoah, Paul D. P.
Schmidt, Marjanka K.
author_facet Escala-Garcia, Maria
Morra, Anna
Canisius, Sander
Chang-Claude, Jenny
Kar, Siddhartha
Zheng, Wei
Bojesen, Stig E.
Easton, Doug
Pharoah, Paul D. P.
Schmidt, Marjanka K.
author_sort Escala-Garcia, Maria
collection PubMed
description BACKGROUND: Observational studies have investigated the association of risk factors with breast cancer prognosis. However, the results have been conflicting and it has been challenging to establish causality due to potential residual confounding. Using a Mendelian randomisation (MR) approach, we aimed to examine the potential causal association between breast cancer-specific survival and nine established risk factors for breast cancer: alcohol consumption, body mass index, height, physical activity, mammographic density, age at menarche or menopause, smoking, and type 2 diabetes mellitus (T2DM). METHODS: We conducted a two-sample MR analysis on data from the Breast Cancer Association Consortium (BCAC) and risk factor summary estimates from the GWAS Catalog. The BCAC data included 86,627 female patients of European ancestry with 7054 breast cancer-specific deaths during 15 years of follow-up. Of these, 59,378 were estrogen receptor (ER)-positive and 13,692 were ER-negative breast cancer patients. For the significant association, we used sensitivity analyses and a multivariable MR model. All risk factor associations were also examined in a model adjusted by other prognostic factors. RESULTS: Increased genetic liability to T2DM was significantly associated with worse breast cancer-specific survival (hazard ratio [HR] = 1.10, 95% confidence interval [CI] = 1.03–1.17, P value [P] = 0.003). There were no significant associations after multiple testing correction for any of the risk factors in the ER-status subtypes. For the reported significant association with T2DM, the sensitivity analyses did not show evidence for violation of the MR assumptions nor that the association was due to increased BMI. The association remained significant when adjusting by other prognostic factors. CONCLUSIONS: This extensive MR analysis suggests that T2DM may be causally associated with worse breast cancer-specific survival and therefore that treating T2DM may improve prognosis.
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spelling pubmed-76705892020-11-17 Breast cancer risk factors and their effects on survival: a Mendelian randomisation study Escala-Garcia, Maria Morra, Anna Canisius, Sander Chang-Claude, Jenny Kar, Siddhartha Zheng, Wei Bojesen, Stig E. Easton, Doug Pharoah, Paul D. P. Schmidt, Marjanka K. BMC Med Research Article BACKGROUND: Observational studies have investigated the association of risk factors with breast cancer prognosis. However, the results have been conflicting and it has been challenging to establish causality due to potential residual confounding. Using a Mendelian randomisation (MR) approach, we aimed to examine the potential causal association between breast cancer-specific survival and nine established risk factors for breast cancer: alcohol consumption, body mass index, height, physical activity, mammographic density, age at menarche or menopause, smoking, and type 2 diabetes mellitus (T2DM). METHODS: We conducted a two-sample MR analysis on data from the Breast Cancer Association Consortium (BCAC) and risk factor summary estimates from the GWAS Catalog. The BCAC data included 86,627 female patients of European ancestry with 7054 breast cancer-specific deaths during 15 years of follow-up. Of these, 59,378 were estrogen receptor (ER)-positive and 13,692 were ER-negative breast cancer patients. For the significant association, we used sensitivity analyses and a multivariable MR model. All risk factor associations were also examined in a model adjusted by other prognostic factors. RESULTS: Increased genetic liability to T2DM was significantly associated with worse breast cancer-specific survival (hazard ratio [HR] = 1.10, 95% confidence interval [CI] = 1.03–1.17, P value [P] = 0.003). There were no significant associations after multiple testing correction for any of the risk factors in the ER-status subtypes. For the reported significant association with T2DM, the sensitivity analyses did not show evidence for violation of the MR assumptions nor that the association was due to increased BMI. The association remained significant when adjusting by other prognostic factors. CONCLUSIONS: This extensive MR analysis suggests that T2DM may be causally associated with worse breast cancer-specific survival and therefore that treating T2DM may improve prognosis. BioMed Central 2020-11-17 /pmc/articles/PMC7670589/ /pubmed/33198768 http://dx.doi.org/10.1186/s12916-020-01797-2 Text en © The Author(s) 2020 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 Research Article
Escala-Garcia, Maria
Morra, Anna
Canisius, Sander
Chang-Claude, Jenny
Kar, Siddhartha
Zheng, Wei
Bojesen, Stig E.
Easton, Doug
Pharoah, Paul D. P.
Schmidt, Marjanka K.
Breast cancer risk factors and their effects on survival: a Mendelian randomisation study
title Breast cancer risk factors and their effects on survival: a Mendelian randomisation study
title_full Breast cancer risk factors and their effects on survival: a Mendelian randomisation study
title_fullStr Breast cancer risk factors and their effects on survival: a Mendelian randomisation study
title_full_unstemmed Breast cancer risk factors and their effects on survival: a Mendelian randomisation study
title_short Breast cancer risk factors and their effects on survival: a Mendelian randomisation study
title_sort breast cancer risk factors and their effects on survival: a mendelian randomisation study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670589/
https://www.ncbi.nlm.nih.gov/pubmed/33198768
http://dx.doi.org/10.1186/s12916-020-01797-2
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