Research Paper Volume 15, Issue 20 pp 11162—11183
Machine learning developed a PI3K/Akt pathway-related signature for predicting prognosis and drug sensitivity in ovarian cancer
Figure 5. PI3K/Akt pathway related signature (PRS)-based treatment strategy for ovarian cancer. The level of immune surveillance score (A), immune escape (B), TIDE score (C), T cell exclusion score (D), and immunophenoscore (E) in ovarian cancer patients with high and low risk score. The risk score in CR/PR and SD/PD group and corresponding ROC curve in GSE91061 dataset (F). The OS curve and corresponding ROC curve in patients with high and low risk score in GSE91061 dataset (G). The risk score in CR/PR and SD/PD group and corresponding ROC curve in IMvigor210 dataset (H). The OS curve and corresponding ROC curve in patients with high and low risk score in IMvigor210 dataset (I). **p<0.01, ***p<0.001.