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Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density

BACKGROUND: Mammographic breast density is one of the strongest risk factors for breast cancer, but molecular understanding of how breast density relates to cancer risk is less complete. Studies of proteins in blood plasma, possibly associated with mammographic density, are well-suited as these allo...

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Autores principales: Byström, Sanna, Eklund, Martin, Hong, Mun-Gwan, Fredolini, Claudia, Eriksson, Mikael, Czene, Kamila, Hall, Per, Schwenk, Jochen M., Gabrielson, Marike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5813412/
https://www.ncbi.nlm.nih.gov/pubmed/29444691
http://dx.doi.org/10.1186/s13058-018-0940-z
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author Byström, Sanna
Eklund, Martin
Hong, Mun-Gwan
Fredolini, Claudia
Eriksson, Mikael
Czene, Kamila
Hall, Per
Schwenk, Jochen M.
Gabrielson, Marike
author_facet Byström, Sanna
Eklund, Martin
Hong, Mun-Gwan
Fredolini, Claudia
Eriksson, Mikael
Czene, Kamila
Hall, Per
Schwenk, Jochen M.
Gabrielson, Marike
author_sort Byström, Sanna
collection PubMed
description BACKGROUND: Mammographic breast density is one of the strongest risk factors for breast cancer, but molecular understanding of how breast density relates to cancer risk is less complete. Studies of proteins in blood plasma, possibly associated with mammographic density, are well-suited as these allow large-scale analyses and might shed light on the association between breast cancer and breast density. METHODS: Plasma samples from 1329 women in the Swedish KARMA project, without prior history of breast cancer, were profiled with antibody suspension bead array (SBA) assays. Two sample sets comprising 729 and 600 women were screened by two different SBAs targeting a total number of 357 proteins. Protein targets were selected through searching the literature, for either being related to breast cancer or for being linked to the extracellular matrix. Association between proteins and absolute area-based breast density (AD) was assessed by quantile regression, adjusting for age and body mass index (BMI). RESULTS: Plasma profiling revealed linear association between 20 proteins and AD, concordant in the two sets of samples (p < 0.05). Plasma levels of seven proteins were positively associated and 13 proteins negatively associated with AD. For eleven of these proteins evidence for gene expression in breast tissue existed. Among these, ABCC11, TNFRSF10D, F11R and ERRF were positively associated with AD, and SHC1, CFLAR, ACOX2, ITGB6, RASSF1, FANCD2 and IRX5 were negatively associated with AD. CONCLUSIONS: Screening proteins in plasma indicates associations between breast density and processes of tissue homeostasis, DNA repair, cancer development and/or progression in breast cancer. Further validation and follow-up studies of the shortlisted protein candidates in independent cohorts will be needed to infer their role in breast density and its progression in premenopausal and postmenopausal women. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0940-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-58134122018-02-16 Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density Byström, Sanna Eklund, Martin Hong, Mun-Gwan Fredolini, Claudia Eriksson, Mikael Czene, Kamila Hall, Per Schwenk, Jochen M. Gabrielson, Marike Breast Cancer Res Research Article BACKGROUND: Mammographic breast density is one of the strongest risk factors for breast cancer, but molecular understanding of how breast density relates to cancer risk is less complete. Studies of proteins in blood plasma, possibly associated with mammographic density, are well-suited as these allow large-scale analyses and might shed light on the association between breast cancer and breast density. METHODS: Plasma samples from 1329 women in the Swedish KARMA project, without prior history of breast cancer, were profiled with antibody suspension bead array (SBA) assays. Two sample sets comprising 729 and 600 women were screened by two different SBAs targeting a total number of 357 proteins. Protein targets were selected through searching the literature, for either being related to breast cancer or for being linked to the extracellular matrix. Association between proteins and absolute area-based breast density (AD) was assessed by quantile regression, adjusting for age and body mass index (BMI). RESULTS: Plasma profiling revealed linear association between 20 proteins and AD, concordant in the two sets of samples (p < 0.05). Plasma levels of seven proteins were positively associated and 13 proteins negatively associated with AD. For eleven of these proteins evidence for gene expression in breast tissue existed. Among these, ABCC11, TNFRSF10D, F11R and ERRF were positively associated with AD, and SHC1, CFLAR, ACOX2, ITGB6, RASSF1, FANCD2 and IRX5 were negatively associated with AD. CONCLUSIONS: Screening proteins in plasma indicates associations between breast density and processes of tissue homeostasis, DNA repair, cancer development and/or progression in breast cancer. Further validation and follow-up studies of the shortlisted protein candidates in independent cohorts will be needed to infer their role in breast density and its progression in premenopausal and postmenopausal women. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0940-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-14 2018 /pmc/articles/PMC5813412/ /pubmed/29444691 http://dx.doi.org/10.1186/s13058-018-0940-z 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
Byström, Sanna
Eklund, Martin
Hong, Mun-Gwan
Fredolini, Claudia
Eriksson, Mikael
Czene, Kamila
Hall, Per
Schwenk, Jochen M.
Gabrielson, Marike
Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density
title Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density
title_full Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density
title_fullStr Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density
title_full_unstemmed Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density
title_short Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density
title_sort affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5813412/
https://www.ncbi.nlm.nih.gov/pubmed/29444691
http://dx.doi.org/10.1186/s13058-018-0940-z
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