Fig. 3

Predictive model for therapeutic efficacy based on key serum metabolites. a Heatmap revealed baseline metabolites significantly correlated with response (R) to NACT (P < 0.05; Two-sided Student T test). b Pathway enrichment analysis (P < 0.05; Hypergeometric test). c Lasso regression for the selection of key metabolites. d Selected key metabolites and breast cancer subtype for the logistic regression model to predict the chances of R. e The sensitivity and specificity of the prediction model with a risk score of 0.5 (R: n = 18; NR: n = 32). f Receiver operating characteristic curve of the logistic regression model