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Clinical characteristics and risk factors for developing bone metastases in patients with breast cancer
The risk factors for predicting bone metastases in patients with breast cancer are still controversial. Here, a total of 2133 patients with breast cancer, including 327 with bone metastases (15.33%) and 1806 without bone metastases (84.67%) were retrospective reviewed from January 2005 to December 2...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595860/ https://www.ncbi.nlm.nih.gov/pubmed/28900285 http://dx.doi.org/10.1038/s41598-017-11700-4 |
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author | Chen, Wen-Zhao Shen, Jun-Feng Zhou, Yang Chen, Xuan-Yin Liu, Jia-Ming Liu, Zhi-Li |
author_facet | Chen, Wen-Zhao Shen, Jun-Feng Zhou, Yang Chen, Xuan-Yin Liu, Jia-Ming Liu, Zhi-Li |
author_sort | Chen, Wen-Zhao |
collection | PubMed |
description | The risk factors for predicting bone metastases in patients with breast cancer are still controversial. Here, a total of 2133 patients with breast cancer, including 327 with bone metastases (15.33%) and 1806 without bone metastases (84.67%) were retrospective reviewed from January 2005 to December 2015. The spine was found to be the most common site for bone metastases, followed by ribs (57.5%), pelvis (54.1%) and sternum (44.3%). The results indicated that axillary lymph node metastases and the concentrations of CA125, CA153, ALP and hemoglobin were the independent risk factors for bone metastases in patients with breast cancer. The receiver operating characteristics (ROC) curves showed that combined axillary lymph node metastases, high CA153 and ALP, with low hemoglobin were the most accurate biomarkers for predicting bone metastases in breast cancer [area under the curve = 0.900], and the sensitivity and specificity for the prediction were 78.5% and 87.8%, respectively. Therefore, breast cancer patients with more axillary lymph node metastases, high serum concentrations of CA125, CA153, ALP and low level of hemoglobin were closely related to bone metastases. Combined axillary lymph node metastases, CA153, ALP with hemoglobin have the highest predictive accuracy for bone metastases in breast cancer. |
format | Online Article Text |
id | pubmed-5595860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55958602017-09-14 Clinical characteristics and risk factors for developing bone metastases in patients with breast cancer Chen, Wen-Zhao Shen, Jun-Feng Zhou, Yang Chen, Xuan-Yin Liu, Jia-Ming Liu, Zhi-Li Sci Rep Article The risk factors for predicting bone metastases in patients with breast cancer are still controversial. Here, a total of 2133 patients with breast cancer, including 327 with bone metastases (15.33%) and 1806 without bone metastases (84.67%) were retrospective reviewed from January 2005 to December 2015. The spine was found to be the most common site for bone metastases, followed by ribs (57.5%), pelvis (54.1%) and sternum (44.3%). The results indicated that axillary lymph node metastases and the concentrations of CA125, CA153, ALP and hemoglobin were the independent risk factors for bone metastases in patients with breast cancer. The receiver operating characteristics (ROC) curves showed that combined axillary lymph node metastases, high CA153 and ALP, with low hemoglobin were the most accurate biomarkers for predicting bone metastases in breast cancer [area under the curve = 0.900], and the sensitivity and specificity for the prediction were 78.5% and 87.8%, respectively. Therefore, breast cancer patients with more axillary lymph node metastases, high serum concentrations of CA125, CA153, ALP and low level of hemoglobin were closely related to bone metastases. Combined axillary lymph node metastases, CA153, ALP with hemoglobin have the highest predictive accuracy for bone metastases in breast cancer. Nature Publishing Group UK 2017-09-12 /pmc/articles/PMC5595860/ /pubmed/28900285 http://dx.doi.org/10.1038/s41598-017-11700-4 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Chen, Wen-Zhao Shen, Jun-Feng Zhou, Yang Chen, Xuan-Yin Liu, Jia-Ming Liu, Zhi-Li Clinical characteristics and risk factors for developing bone metastases in patients with breast cancer |
title | Clinical characteristics and risk factors for developing bone metastases in patients with breast cancer |
title_full | Clinical characteristics and risk factors for developing bone metastases in patients with breast cancer |
title_fullStr | Clinical characteristics and risk factors for developing bone metastases in patients with breast cancer |
title_full_unstemmed | Clinical characteristics and risk factors for developing bone metastases in patients with breast cancer |
title_short | Clinical characteristics and risk factors for developing bone metastases in patients with breast cancer |
title_sort | clinical characteristics and risk factors for developing bone metastases in patients with breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5595860/ https://www.ncbi.nlm.nih.gov/pubmed/28900285 http://dx.doi.org/10.1038/s41598-017-11700-4 |
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