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 4. Dissection of PI3K/Akt pathway related signature (PRS)-based tumor microenvironment (TME). (A) Tumor immune landscape in ovarian cancer with high and low risk score. (B) Correlation between PRS and immune infiltration in ovarian cancer. (C) The TME score difference in different risk score group of ovarian cancer. The difference of the score of immune cells (D), immune-related functions (E), immune checkpoint (F), HLA-related genes (G) in different risk score group of ovarian cancer. *p<0.05, **p<0.01, ***p<0.001.