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Body Mass Index Influences the Prognostic Impact of Combined Nuclear Insulin Receptor and Estrogen Receptor Expression in Primary Breast Cancer
The prognostic importance of tumor-specific nuclear insulin receptor (InsR) expression in breast cancer is unclear, while membrane and cytoplasmic localization of InsR is better characterized. The insulin signaling network is influenced by obesity and may interact with the estrogen receptor α (ERα)...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712344/ https://www.ncbi.nlm.nih.gov/pubmed/29234306 http://dx.doi.org/10.3389/fendo.2017.00332 |
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author | Björner, Sofie Rosendahl, Ann H. Simonsson, Maria Markkula, Andrea Jirström, Karin Borgquist, Signe Rose, Carsten Ingvar, Christian Jernström, Helena |
author_facet | Björner, Sofie Rosendahl, Ann H. Simonsson, Maria Markkula, Andrea Jirström, Karin Borgquist, Signe Rose, Carsten Ingvar, Christian Jernström, Helena |
author_sort | Björner, Sofie |
collection | PubMed |
description | The prognostic importance of tumor-specific nuclear insulin receptor (InsR) expression in breast cancer is unclear, while membrane and cytoplasmic localization of InsR is better characterized. The insulin signaling network is influenced by obesity and may interact with the estrogen receptor α (ERα) signaling. The purpose was to investigate the interplay between nuclear InsR, ER, body mass index (BMI), and prognosis. Tumor-specific expression of nuclear InsR was evaluated by immunohistochemistry in tissue microarrays from 900 patients with primary invasive breast cancer without preoperative treatment, included in a population-based cohort in Sweden (2002–2012) in relation to prognosis. Patients were followed for up to 11 years during which 107 recurrences were observed. Nuclear InsR(+) expression was present in 214 patients (23.8%) and increased with longer time between surgery and staining (P < 0.001). There were significant effect modifications by ER status and BMI in relation to clinical outcomes. Nuclear InsR(+) conferred higher recurrence-risk in patients with ER(+) tumors, but lower risk in patients with ER(−) tumors (P(interaction) = 0.003). Normal-weight patients with nuclear InsR(+) tumors had higher recurrence-risk, while overweight or obese patients had half the recurrence-risk compared to patients with nuclear InsR(−) tumors (P(interaction) = 0.007). Normal-weight patients with a nuclear InsR(−)/ER(+) tumor had the lowest risk for recurrence compared to all other nuclear InsR/ER combinations [HR(adj) 0.50, 95% confidence interval (CI): 0.25–0.97], while overweight or obese patients with nuclear InsR(−)/ER(−) tumors had the worst prognosis (HR(adj) 7.75, 95% CI: 2.04–29.48). Nuclear InsR was more prognostic than ER among chemotherapy-treated patients. In summary, nuclear InsR may have prognostic impact among normal-weight patients with ER(+) tumors and in overweight or obese patients with ER(−) tumors. Normal-weight patients with nuclear InsR(−)/ER(+) tumors may benefit from less treatment than normal-weight patients with other nuclear InsR/ER combinations. Overweight or obese patients with nuclear InsR(−)/ER(−) tumors may benefit from more tailored treatment or weight management. |
format | Online Article Text |
id | pubmed-5712344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57123442017-12-11 Body Mass Index Influences the Prognostic Impact of Combined Nuclear Insulin Receptor and Estrogen Receptor Expression in Primary Breast Cancer Björner, Sofie Rosendahl, Ann H. Simonsson, Maria Markkula, Andrea Jirström, Karin Borgquist, Signe Rose, Carsten Ingvar, Christian Jernström, Helena Front Endocrinol (Lausanne) Endocrinology The prognostic importance of tumor-specific nuclear insulin receptor (InsR) expression in breast cancer is unclear, while membrane and cytoplasmic localization of InsR is better characterized. The insulin signaling network is influenced by obesity and may interact with the estrogen receptor α (ERα) signaling. The purpose was to investigate the interplay between nuclear InsR, ER, body mass index (BMI), and prognosis. Tumor-specific expression of nuclear InsR was evaluated by immunohistochemistry in tissue microarrays from 900 patients with primary invasive breast cancer without preoperative treatment, included in a population-based cohort in Sweden (2002–2012) in relation to prognosis. Patients were followed for up to 11 years during which 107 recurrences were observed. Nuclear InsR(+) expression was present in 214 patients (23.8%) and increased with longer time between surgery and staining (P < 0.001). There were significant effect modifications by ER status and BMI in relation to clinical outcomes. Nuclear InsR(+) conferred higher recurrence-risk in patients with ER(+) tumors, but lower risk in patients with ER(−) tumors (P(interaction) = 0.003). Normal-weight patients with nuclear InsR(+) tumors had higher recurrence-risk, while overweight or obese patients had half the recurrence-risk compared to patients with nuclear InsR(−) tumors (P(interaction) = 0.007). Normal-weight patients with a nuclear InsR(−)/ER(+) tumor had the lowest risk for recurrence compared to all other nuclear InsR/ER combinations [HR(adj) 0.50, 95% confidence interval (CI): 0.25–0.97], while overweight or obese patients with nuclear InsR(−)/ER(−) tumors had the worst prognosis (HR(adj) 7.75, 95% CI: 2.04–29.48). Nuclear InsR was more prognostic than ER among chemotherapy-treated patients. In summary, nuclear InsR may have prognostic impact among normal-weight patients with ER(+) tumors and in overweight or obese patients with ER(−) tumors. Normal-weight patients with nuclear InsR(−)/ER(+) tumors may benefit from less treatment than normal-weight patients with other nuclear InsR/ER combinations. Overweight or obese patients with nuclear InsR(−)/ER(−) tumors may benefit from more tailored treatment or weight management. Frontiers Media S.A. 2017-11-28 /pmc/articles/PMC5712344/ /pubmed/29234306 http://dx.doi.org/10.3389/fendo.2017.00332 Text en Copyright © 2017 Björner, Rosendahl, Simonsson, Markkula, Jirström, Borgquist, Rose, Ingvar and Jernström. http://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) or licensor 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 | Endocrinology Björner, Sofie Rosendahl, Ann H. Simonsson, Maria Markkula, Andrea Jirström, Karin Borgquist, Signe Rose, Carsten Ingvar, Christian Jernström, Helena Body Mass Index Influences the Prognostic Impact of Combined Nuclear Insulin Receptor and Estrogen Receptor Expression in Primary Breast Cancer |
title | Body Mass Index Influences the Prognostic Impact of Combined Nuclear Insulin Receptor and Estrogen Receptor Expression in Primary Breast Cancer |
title_full | Body Mass Index Influences the Prognostic Impact of Combined Nuclear Insulin Receptor and Estrogen Receptor Expression in Primary Breast Cancer |
title_fullStr | Body Mass Index Influences the Prognostic Impact of Combined Nuclear Insulin Receptor and Estrogen Receptor Expression in Primary Breast Cancer |
title_full_unstemmed | Body Mass Index Influences the Prognostic Impact of Combined Nuclear Insulin Receptor and Estrogen Receptor Expression in Primary Breast Cancer |
title_short | Body Mass Index Influences the Prognostic Impact of Combined Nuclear Insulin Receptor and Estrogen Receptor Expression in Primary Breast Cancer |
title_sort | body mass index influences the prognostic impact of combined nuclear insulin receptor and estrogen receptor expression in primary breast cancer |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712344/ https://www.ncbi.nlm.nih.gov/pubmed/29234306 http://dx.doi.org/10.3389/fendo.2017.00332 |
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