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

Br J Cancer. 2015 Sep 29;113(7):1003-9. doi: 10.1038/bjc.2015.308. Epub 2015 Sep 22.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Bone Neoplasms / pathology
  • Bone Neoplasms / secondary*
  • Breast Neoplasms / pathology*
  • Early Detection of Cancer
  • Female
  • Humans
  • Middle Aged
  • Nomograms*
  • Proportional Hazards Models
  • Retrospective Studies
  • Young Adult