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Predicting brain metastases of breast cancer based on serum S100B and serum HER2

Brain metastases are a major cause of morbidity and mortality in breast cancer. The aim of the current study was to evaluate the prediction of brain metastases based on serum S100B and human epidermal growth factor receptor 2 (HER2). A total of 107 breast cancer patients were included in the current...

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Autores principales: BECHMANN, TROELS, MADSEN, JONNA SKOV, BRANDSLUND, IVAN, LUND, ERIK DALSGAARD, ORMSTRUP, TINA, JAKOBSEN, ERIK HUGGER, JYLLING, ANNE MARIE BAK, STEFFENSEN, KARINA DAHL, JAKOBSEN, ANDERS
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3813762/
https://www.ncbi.nlm.nih.gov/pubmed/24179506
http://dx.doi.org/10.3892/ol.2013.1536
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author BECHMANN, TROELS
MADSEN, JONNA SKOV
BRANDSLUND, IVAN
LUND, ERIK DALSGAARD
ORMSTRUP, TINA
JAKOBSEN, ERIK HUGGER
JYLLING, ANNE MARIE BAK
STEFFENSEN, KARINA DAHL
JAKOBSEN, ANDERS
author_facet BECHMANN, TROELS
MADSEN, JONNA SKOV
BRANDSLUND, IVAN
LUND, ERIK DALSGAARD
ORMSTRUP, TINA
JAKOBSEN, ERIK HUGGER
JYLLING, ANNE MARIE BAK
STEFFENSEN, KARINA DAHL
JAKOBSEN, ANDERS
author_sort BECHMANN, TROELS
collection PubMed
description Brain metastases are a major cause of morbidity and mortality in breast cancer. The aim of the current study was to evaluate the prediction of brain metastases based on serum S100B and human epidermal growth factor receptor 2 (HER2). A total of 107 breast cancer patients were included in the current study from two prospective cohort studies with either elevated serum HER2 levels >15 ng/ml or brain metastases verified by magnetic resonance imaging (MRI) or computer tomography (CT). Following the exclusion of six patients, the remaining 101 patients were divided into two groups: Group 0 (n=55), patients with normal MRI results; and group 1 (n=46), patients with brain metastases. The levels of serum S100B and HER2 in the two groups were analyzed prior to MRI or CT of the brain, and no significant differences were identified in the serum HER2 (P=0.060) or S100B levels (P=0.623) between the groups. The univariate analysis of prognostic factors for brain metastases showed a significant correlation with systemic disease (P<0.001), axillary lymph node metastases (P=0.001) and serum HER2 >30 ng/ml (P=0.002). Only systemic disease (P<0.001) remained statistically significant in the multivariate analysis. In conclusion, serum levels of S100B and HER2 did not predict the risk of brain metastases. In the multivariate analysis, brain metastases were only found to correlate with systemic disease. However, in the univariate analysis, serum HER2 levels >30 ng/ml were identified to correlate with increased risk of brain metastases, which calls for further investigation.
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spelling pubmed-38137622013-10-31 Predicting brain metastases of breast cancer based on serum S100B and serum HER2 BECHMANN, TROELS MADSEN, JONNA SKOV BRANDSLUND, IVAN LUND, ERIK DALSGAARD ORMSTRUP, TINA JAKOBSEN, ERIK HUGGER JYLLING, ANNE MARIE BAK STEFFENSEN, KARINA DAHL JAKOBSEN, ANDERS Oncol Lett Articles Brain metastases are a major cause of morbidity and mortality in breast cancer. The aim of the current study was to evaluate the prediction of brain metastases based on serum S100B and human epidermal growth factor receptor 2 (HER2). A total of 107 breast cancer patients were included in the current study from two prospective cohort studies with either elevated serum HER2 levels >15 ng/ml or brain metastases verified by magnetic resonance imaging (MRI) or computer tomography (CT). Following the exclusion of six patients, the remaining 101 patients were divided into two groups: Group 0 (n=55), patients with normal MRI results; and group 1 (n=46), patients with brain metastases. The levels of serum S100B and HER2 in the two groups were analyzed prior to MRI or CT of the brain, and no significant differences were identified in the serum HER2 (P=0.060) or S100B levels (P=0.623) between the groups. The univariate analysis of prognostic factors for brain metastases showed a significant correlation with systemic disease (P<0.001), axillary lymph node metastases (P=0.001) and serum HER2 >30 ng/ml (P=0.002). Only systemic disease (P<0.001) remained statistically significant in the multivariate analysis. In conclusion, serum levels of S100B and HER2 did not predict the risk of brain metastases. In the multivariate analysis, brain metastases were only found to correlate with systemic disease. However, in the univariate analysis, serum HER2 levels >30 ng/ml were identified to correlate with increased risk of brain metastases, which calls for further investigation. D.A. Spandidos 2013-11 2013-08-19 /pmc/articles/PMC3813762/ /pubmed/24179506 http://dx.doi.org/10.3892/ol.2013.1536 Text en Copyright © 2013, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Articles
BECHMANN, TROELS
MADSEN, JONNA SKOV
BRANDSLUND, IVAN
LUND, ERIK DALSGAARD
ORMSTRUP, TINA
JAKOBSEN, ERIK HUGGER
JYLLING, ANNE MARIE BAK
STEFFENSEN, KARINA DAHL
JAKOBSEN, ANDERS
Predicting brain metastases of breast cancer based on serum S100B and serum HER2
title Predicting brain metastases of breast cancer based on serum S100B and serum HER2
title_full Predicting brain metastases of breast cancer based on serum S100B and serum HER2
title_fullStr Predicting brain metastases of breast cancer based on serum S100B and serum HER2
title_full_unstemmed Predicting brain metastases of breast cancer based on serum S100B and serum HER2
title_short Predicting brain metastases of breast cancer based on serum S100B and serum HER2
title_sort predicting brain metastases of breast cancer based on serum s100b and serum her2
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3813762/
https://www.ncbi.nlm.nih.gov/pubmed/24179506
http://dx.doi.org/10.3892/ol.2013.1536
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