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Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma

BACKGROUND: Bone is one of the most common sites of distant metastasis in breast cancer. The purpose of this study was to combine selected clinical and pathologic variables to develop a nomogram that can predict the likelihood of bone-only metastasis (BOM) as the first site of recurrence in patients...

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Autores principales: Delpech, Yann, Bashour, Sami I, Lousquy, Ruben, Rouzier, Roman, Hess, Kenneth, Coutant, Charles, Barranger, Emmanuel, Esteva, Francisco J, Ueno, Noato T, Pusztai, Lajos, Ibrahim, Nuhad K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4651124/
https://www.ncbi.nlm.nih.gov/pubmed/26393887
http://dx.doi.org/10.1038/bjc.2015.308
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author Delpech, Yann
Bashour, Sami I
Lousquy, Ruben
Rouzier, Roman
Hess, Kenneth
Coutant, Charles
Barranger, Emmanuel
Esteva, Francisco J
Ueno, Noato T
Pusztai, Lajos
Ibrahim, Nuhad K
author_facet Delpech, Yann
Bashour, Sami I
Lousquy, Ruben
Rouzier, Roman
Hess, Kenneth
Coutant, Charles
Barranger, Emmanuel
Esteva, Francisco J
Ueno, Noato T
Pusztai, Lajos
Ibrahim, Nuhad K
author_sort Delpech, Yann
collection PubMed
description BACKGROUND: Bone is one of the most common sites of distant metastasis in breast cancer. The purpose of this study was to combine selected clinical and pathologic variables to develop a nomogram that can predict the likelihood of bone-only metastasis (BOM) as the first site of recurrence in patients with early breast cancer. METHODS: Medical records of patients with non-metastatic breast cancer were retrospectively collected. On the basis of the analysis of patient and tumour characteristics using the Cox proportional hazards regression model, a nomogram to predict BOM was constructed for a 4175-patient-training cohort. The nomogram was validated in an independent cohort of 579 patients. RESULTS: Among 4175 patients with non-metastatic breast cancer, 314 developed subsequent BOM. Age, T classification, lymph node status, lymphovascular space invasion, and hormone receptor status were significantly and independently associated with subsequent BOM. The nomogram had a concordance index of 0.69 in the training set and 0.73 in the validation set. CONCLUSIONS: We have developed a clinical nomogram to predict subsequent BOM in patients with non-metastatic breast cancer. Selection of a patient population at high risk for BOM could facilitate research of more specific staging approaches or the selective use of bone-targeted therapy.
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spelling pubmed-46511242016-09-29 Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma Delpech, Yann Bashour, Sami I Lousquy, Ruben Rouzier, Roman Hess, Kenneth Coutant, Charles Barranger, Emmanuel Esteva, Francisco J Ueno, Noato T Pusztai, Lajos Ibrahim, Nuhad K Br J Cancer Clinical Study BACKGROUND: Bone is one of the most common sites of distant metastasis in breast cancer. The purpose of this study was to combine selected clinical and pathologic variables to develop a nomogram that can predict the likelihood of bone-only metastasis (BOM) as the first site of recurrence in patients with early breast cancer. METHODS: Medical records of patients with non-metastatic breast cancer were retrospectively collected. On the basis of the analysis of patient and tumour characteristics using the Cox proportional hazards regression model, a nomogram to predict BOM was constructed for a 4175-patient-training cohort. The nomogram was validated in an independent cohort of 579 patients. RESULTS: Among 4175 patients with non-metastatic breast cancer, 314 developed subsequent BOM. Age, T classification, lymph node status, lymphovascular space invasion, and hormone receptor status were significantly and independently associated with subsequent BOM. The nomogram had a concordance index of 0.69 in the training set and 0.73 in the validation set. CONCLUSIONS: We have developed a clinical nomogram to predict subsequent BOM in patients with non-metastatic breast cancer. Selection of a patient population at high risk for BOM could facilitate research of more specific staging approaches or the selective use of bone-targeted therapy. Nature Publishing Group 2015-09-29 2015-09-22 /pmc/articles/PMC4651124/ /pubmed/26393887 http://dx.doi.org/10.1038/bjc.2015.308 Text en Copyright © 2015 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/4.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Clinical Study
Delpech, Yann
Bashour, Sami I
Lousquy, Ruben
Rouzier, Roman
Hess, Kenneth
Coutant, Charles
Barranger, Emmanuel
Esteva, Francisco J
Ueno, Noato T
Pusztai, Lajos
Ibrahim, Nuhad K
Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
title Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
title_full Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
title_fullStr Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
title_full_unstemmed Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
title_short Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
title_sort clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4651124/
https://www.ncbi.nlm.nih.gov/pubmed/26393887
http://dx.doi.org/10.1038/bjc.2015.308
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