Cargando…

Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo

BACKGROUND: Breast density and exposure to sex steroids are major risk factors for breast cancer. The local microenvironment plays an essential role in progression of breast cancer. Metabolic adaption is a major hallmark of cancer. Whether proteins from the extracellular space regulating metabolism...

Descripción completa

Detalles Bibliográficos
Autores principales: Ekstrand, Jimmy, Abrahamsson, Annelie, Lundberg, Peter, Dabrosin, Charlotta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090464/
https://www.ncbi.nlm.nih.gov/pubmed/37064098
http://dx.doi.org/10.3389/fonc.2023.1128318
_version_ 1785022965646098432
author Ekstrand, Jimmy
Abrahamsson, Annelie
Lundberg, Peter
Dabrosin, Charlotta
author_facet Ekstrand, Jimmy
Abrahamsson, Annelie
Lundberg, Peter
Dabrosin, Charlotta
author_sort Ekstrand, Jimmy
collection PubMed
description BACKGROUND: Breast density and exposure to sex steroids are major risk factors for breast cancer. The local microenvironment plays an essential role in progression of breast cancer. Metabolic adaption is a major hallmark of cancer. Whether proteins from the extracellular space regulating metabolism are affected in breast cancer, dense breasts or by estrogen exposure are not yet fully elucidated. METHODS: Women with breast cancer, postmenopausal women with normal breast tissue with varying breast density or premenopausal women with breasts exposed to high levels of estradiol were included in the study. Microdialysis was used to collect proteins from the extracellular space in vivo in 73 women; 12 with breast cancer, 42 healthy postmenopausal women with different breast densities, and 19 healthy premenopausal women. Breast density was determined as lean tissue fraction (LTF) using magnetic resonance imaging. Data were evaluated in a murine breast cancer model. We quantified a panel of 92 key proteins regulating metabolism using proximity extension assay. RESULTS: We report that 29 proteins were upregulated in human breast cancer. In dense breasts 37 proteins were upregulated and 17 of these were similarly regulated as in breast cancer. 32 proteins correlated with LTF. In premenopausal breasts 19 proteins were up-regulated and 9 down-regulated. Of these, 27 correlated to estradiol, a result that was confirmed for most proteins in experimental breast cancer. Only two proteins, pro-cathepsin H and galanin peptide, were similarly regulated in breast cancer, dense- and estrogen exposed breasts. CONCLUSIONS: Metabolic proteins may be targetable for breast cancer prevention. Depending on risk factor, this may, however, require different approaches as breast density and estradiol induce distinct different expression patterns in the breast. Additionally, metabolic proteins from the extracellular space may indeed be further explored as therapeutic targets for breast cancer treatment.
format Online
Article
Text
id pubmed-10090464
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-100904642023-04-13 Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo Ekstrand, Jimmy Abrahamsson, Annelie Lundberg, Peter Dabrosin, Charlotta Front Oncol Oncology BACKGROUND: Breast density and exposure to sex steroids are major risk factors for breast cancer. The local microenvironment plays an essential role in progression of breast cancer. Metabolic adaption is a major hallmark of cancer. Whether proteins from the extracellular space regulating metabolism are affected in breast cancer, dense breasts or by estrogen exposure are not yet fully elucidated. METHODS: Women with breast cancer, postmenopausal women with normal breast tissue with varying breast density or premenopausal women with breasts exposed to high levels of estradiol were included in the study. Microdialysis was used to collect proteins from the extracellular space in vivo in 73 women; 12 with breast cancer, 42 healthy postmenopausal women with different breast densities, and 19 healthy premenopausal women. Breast density was determined as lean tissue fraction (LTF) using magnetic resonance imaging. Data were evaluated in a murine breast cancer model. We quantified a panel of 92 key proteins regulating metabolism using proximity extension assay. RESULTS: We report that 29 proteins were upregulated in human breast cancer. In dense breasts 37 proteins were upregulated and 17 of these were similarly regulated as in breast cancer. 32 proteins correlated with LTF. In premenopausal breasts 19 proteins were up-regulated and 9 down-regulated. Of these, 27 correlated to estradiol, a result that was confirmed for most proteins in experimental breast cancer. Only two proteins, pro-cathepsin H and galanin peptide, were similarly regulated in breast cancer, dense- and estrogen exposed breasts. CONCLUSIONS: Metabolic proteins may be targetable for breast cancer prevention. Depending on risk factor, this may, however, require different approaches as breast density and estradiol induce distinct different expression patterns in the breast. Additionally, metabolic proteins from the extracellular space may indeed be further explored as therapeutic targets for breast cancer treatment. Frontiers Media S.A. 2023-03-29 /pmc/articles/PMC10090464/ /pubmed/37064098 http://dx.doi.org/10.3389/fonc.2023.1128318 Text en Copyright © 2023 Ekstrand, Abrahamsson, Lundberg and Dabrosin https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Ekstrand, Jimmy
Abrahamsson, Annelie
Lundberg, Peter
Dabrosin, Charlotta
Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo
title Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo
title_full Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo
title_fullStr Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo
title_full_unstemmed Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo
title_short Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo
title_sort breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090464/
https://www.ncbi.nlm.nih.gov/pubmed/37064098
http://dx.doi.org/10.3389/fonc.2023.1128318
work_keys_str_mv AT ekstrandjimmy breastdensityandestradiolareassociatedwithdistinctdifferentexpressionpatternsofmetabolicproteinsinnormalhumanbreasttissueinvivo
AT abrahamssonannelie breastdensityandestradiolareassociatedwithdistinctdifferentexpressionpatternsofmetabolicproteinsinnormalhumanbreasttissueinvivo
AT lundbergpeter breastdensityandestradiolareassociatedwithdistinctdifferentexpressionpatternsofmetabolicproteinsinnormalhumanbreasttissueinvivo
AT dabrosincharlotta breastdensityandestradiolareassociatedwithdistinctdifferentexpressionpatternsofmetabolicproteinsinnormalhumanbreasttissueinvivo