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Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study
BACKGROUND: Earlier epidemiological studies indicate that associations between obesity and breast cancer risk may not only depend on menopausal status and use of exogenous hormones, but might also differ by tumor subtype. Here, we evaluated whether obesity is differentially associated with the risk...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984403/ https://www.ncbi.nlm.nih.gov/pubmed/29855282 http://dx.doi.org/10.1186/s12885-018-4548-6 |
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author | Nattenmüller, Cina J. Kriegsmann, Mark Sookthai, Disorn Fortner, Renée Turzanski Steffen, Annika Walter, Britta Johnson, Theron Kneisel, Jutta Katzke, Verena Bergmann, Manuela Sinn, Hans Peter Schirmacher, Peter Herpel, Esther Boeing, Heiner Kaaks, Rudolf Kühn, Tilman |
author_facet | Nattenmüller, Cina J. Kriegsmann, Mark Sookthai, Disorn Fortner, Renée Turzanski Steffen, Annika Walter, Britta Johnson, Theron Kneisel, Jutta Katzke, Verena Bergmann, Manuela Sinn, Hans Peter Schirmacher, Peter Herpel, Esther Boeing, Heiner Kaaks, Rudolf Kühn, Tilman |
author_sort | Nattenmüller, Cina J. |
collection | PubMed |
description | BACKGROUND: Earlier epidemiological studies indicate that associations between obesity and breast cancer risk may not only depend on menopausal status and use of exogenous hormones, but might also differ by tumor subtype. Here, we evaluated whether obesity is differentially associated with the risk of breast tumor subtypes, as defined by 6 immunohistochemical markers (ER, PR, HER2, Ki67, Bcl-2 and p53, separately and combined), in the prospective EPIC-Germany Study (n = 27,012). METHODS: Formalin-fixed and paraffin-embedded (FFPE) tumor tissues of 657 incident breast cancer cases were used for histopathological analyses. Associations between BMI and breast cancer risk across subtypes were evaluated by multivariable Cox regression models stratified by menopausal status and hormone therapy (HT) use. RESULTS: Among postmenopausal non-users of HT, higher BMI was significantly associated with an increased risk of less aggressive, i.e. ER+, PR+, HER2-, Ki67(low), Bcl-2+ and p53- tumors (HR per 5 kg/m(2): 1.44 [1.10, 1.90], p = 0.009), but not with risk of more aggressive tumor subtypes. Among postmenopausal users of HT, BMI was significantly inversely associated with less aggressive tumors (HR per 5 kg/m(2): 0.68 [0.50, 0.94], p = 0.018). Finally, among pre- and perimenopausal women, Cox regression models did not reveal significant linear associations between BMI and risk of any tumor subtype, although analyses by BMI tertiles showed a significantly lower risk of less aggressive tumors for women in the highest tertile (HR: 0.55 [0.33, 0.93]). CONCLUSION: Overall, our results suggest that obesity is related to risk of breast tumors with lower aggressiveness, a finding that requires replication in larger-scale analyses of pooled prospective data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4548-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5984403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59844032018-06-07 Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study Nattenmüller, Cina J. Kriegsmann, Mark Sookthai, Disorn Fortner, Renée Turzanski Steffen, Annika Walter, Britta Johnson, Theron Kneisel, Jutta Katzke, Verena Bergmann, Manuela Sinn, Hans Peter Schirmacher, Peter Herpel, Esther Boeing, Heiner Kaaks, Rudolf Kühn, Tilman BMC Cancer Research Article BACKGROUND: Earlier epidemiological studies indicate that associations between obesity and breast cancer risk may not only depend on menopausal status and use of exogenous hormones, but might also differ by tumor subtype. Here, we evaluated whether obesity is differentially associated with the risk of breast tumor subtypes, as defined by 6 immunohistochemical markers (ER, PR, HER2, Ki67, Bcl-2 and p53, separately and combined), in the prospective EPIC-Germany Study (n = 27,012). METHODS: Formalin-fixed and paraffin-embedded (FFPE) tumor tissues of 657 incident breast cancer cases were used for histopathological analyses. Associations between BMI and breast cancer risk across subtypes were evaluated by multivariable Cox regression models stratified by menopausal status and hormone therapy (HT) use. RESULTS: Among postmenopausal non-users of HT, higher BMI was significantly associated with an increased risk of less aggressive, i.e. ER+, PR+, HER2-, Ki67(low), Bcl-2+ and p53- tumors (HR per 5 kg/m(2): 1.44 [1.10, 1.90], p = 0.009), but not with risk of more aggressive tumor subtypes. Among postmenopausal users of HT, BMI was significantly inversely associated with less aggressive tumors (HR per 5 kg/m(2): 0.68 [0.50, 0.94], p = 0.018). Finally, among pre- and perimenopausal women, Cox regression models did not reveal significant linear associations between BMI and risk of any tumor subtype, although analyses by BMI tertiles showed a significantly lower risk of less aggressive tumors for women in the highest tertile (HR: 0.55 [0.33, 0.93]). CONCLUSION: Overall, our results suggest that obesity is related to risk of breast tumors with lower aggressiveness, a finding that requires replication in larger-scale analyses of pooled prospective data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4548-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-31 /pmc/articles/PMC5984403/ /pubmed/29855282 http://dx.doi.org/10.1186/s12885-018-4548-6 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 Nattenmüller, Cina J. Kriegsmann, Mark Sookthai, Disorn Fortner, Renée Turzanski Steffen, Annika Walter, Britta Johnson, Theron Kneisel, Jutta Katzke, Verena Bergmann, Manuela Sinn, Hans Peter Schirmacher, Peter Herpel, Esther Boeing, Heiner Kaaks, Rudolf Kühn, Tilman Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study |
title | Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study |
title_full | Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study |
title_fullStr | Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study |
title_full_unstemmed | Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study |
title_short | Obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study |
title_sort | obesity as risk factor for subtypes of breast cancer: results from a prospective cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984403/ https://www.ncbi.nlm.nih.gov/pubmed/29855282 http://dx.doi.org/10.1186/s12885-018-4548-6 |
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