Research Article

Nomogram Models Based on the Gene Expression in Prediction of Breast Cancer Bone Metastasis

Table 2

Cox regression analysis of the GESBN models and clinical variables in the training cohort.

Overall survival
VariablesUnivariate analysisMultivariate analysis
HR (95% CI) valueHR (95% CI) value

PR status0.552 (0.363–0.838)0.0050.660 (0.398–1.094)0.107
PES0.644 (0.403–1.029)0.0660.649 (0.405–1.040)0.073
Stage1.006 (0.656–1.543)0.9791.214 (0.673–2.192)0.519
Risk score2.719 (1.663–4.447)<0.0012.289 (1.253–4.180)0.007

Progression-free survival
PR status0.598 (0.420–0.853)0.0040.807 (0.531–1.228)0.317
PES0.600 (0.395–0.912)0.0170.657 (0.424–1.016)0.059
Stage0.750 (0.517–1.088)0.1291.006 (0.604–1.674)0.983
Risk score2.710 (1.920–3.824)<0.0012.624 (1.757–3.919)<0.001

abrAbbreviations: GESBN, gene expression signature-based nomogram; HR, hazard ratio; 95% CI, 95% confidence interval; PR status, progesterone receptor status; PES, prior endocrine sensitivity.