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Fig. 3 | BMC Medicine

Fig. 3

From: Construction of a risk stratification model integrating ctDNA to predict response and survival in neoadjuvant-treated breast cancer

Fig. 3

Predicting response and DFS combing mutation characteristics and clinical characteristics. A The ROC curve of predictive model in RCB index system. B Nomogram from stepwise logistic regression for predicting pCR in RCB index system. C The ROC curve of predictive model in MP scoring system. D Nomogram from stepwise logistic regression for predicting pCR in MP scoring system. E Predicting DFS combing important mutation and clinical characteristics. F Kaplan–Meier curves for patients in high- and low-risk groups. Response rate refers to the probability of a patient responding to treatment

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