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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-09

AUTHORS

Yann Delpech, Sami I Bashour, Ruben Lousquy, Roman Rouzier, Kenneth Hess, Charles Coutant, Emmanuel Barranger, Francisco J Esteva, Noato T Ueno, Lajos Pusztai, Nuhad K Ibrahim

ABSTRACT

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. More... »

PAGES

1003

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2015.308

DOI

http://dx.doi.org/10.1038/bjc.2015.308

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042027877

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26393887


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