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Fig. 5 | Genome Medicine

Fig. 5

From: Application of RNAi-induced gene expression profiles for prognostic prediction in breast cancer

Fig. 5

Prognosis of Hatzis discovery data using RIPSRAD51. a Kaplan–Meier plot comparing survival of high to low cell proliferation patients. Patients with low RIPS (green curve) have significantly higher survival than patients with high RIPS (red curve). b Barplot of the pCR rate within low, intermediate, and high RIPS groups comparing the number of RD patients (gray) to the number of patients achieving pCR (white). The pCR rate is given above each bar. c ROC curve calculating accuracy in classifying pCR patients. Black curve: All patients in Hatzis dataset (AUC = 0.744). Magenta curve: ER+ only Hatzis patients (AUC = 0.667). Cyan curve: ER– only Hatzis patients (AUC = 0.638). d Barplot comparing average AUCs from a random forest model either including RIPSRAD51 with clinical information or not. Mean AUC is given above each bar. Error bars represent standard deviation in the AUC distribution

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