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

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

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1003-1009
Number of pages7
JournalBritish journal of cancer
Volume113
Issue number7
DOIs
StatePublished - Sep 29 2015

Keywords

  • bone metastasis; nomogram; ER breast cancer; prediction

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

MD Anderson CCSG core facilities

  • Biostatistics Resource Group
  • Clinical Trials Office

Fingerprint

Dive into the research topics of 'Clinical nomogram to predict bone-only metastasis in patients with early breast carcinoma'. Together they form a unique fingerprint.

Cite this