Fig. 5: Survival analysis according to pCR and model predictions. | npj Breast Cancer

Fig. 5: Survival analysis according to pCR and model predictions.

From: Accessible model predicts response in hormone receptor positive HER2 negative breast cancer receiving neoadjuvant chemotherapy

Fig. 5

a Kaplan-Meier curves of DFS according to pCR in the whole internal cohort. There were 169 events in pCR No group and 14 events in pCR Yes group. b Kaplan-Meier curves of OS according to pCR in the whole internal cohort. There were 126 events in the pCR No group and 8 events in pCR Yes group. c Kaplan-Meier curves of DFS according to pCR prediction in the internal validation cohort. Predictions were based on the threshold value obtained using MSRS. There were 32 events (57%) in the predicted pCR No group and 12 events (24%) in the predicted pCR Yes group. Since a violation of proportional hazard was graphically suspected and confirmed with Schoenfeld’s test, an exploratory analysis using the p-value for RSMT differences was reported. d Kaplan-Meier curves of OS according to pCR prediction in the internal validation cohort. Predictions were based on the threshold value obtained using MSRS. There were 23 events (40%) in the predicted pCR No group and 9 events (18%) in the predicted pCR Yes group. Again, since a violation of proportional hazard was graphically suspected and confirmed with Schoenfeld’s test, an exploratory analysis using the p-value for RSMT differences was reported. e Kaplan-Meier curves of DFS according to pCR stratified for pCR prediction in patients without pCR in the internal validation cohort. Predictions were based on the threshold value obtained using MSRS. f Kaplan-Meier curves of OS according to pCR stratified for pCR prediction in patients without pCR in the internal validation cohort. Predictions were based on the threshold value obtained using MSRS. MSRS maximally selected rank statistics. RSMT restricted mean survival time.

Back to article page