Research Paper Volume 16, Issue 4 pp 3332—3349
Machine learning constructs a T cell-related signature for predicting prognosis and drug sensitivity in ovarian cancer
Figure 5. Dissection of T cell-related signature (TRS)-based tumor microenvironment (TME). (A) Tumor immune landscape in ovarian cancer with high and low-risk score. (B) The TME score difference in different risk score group of ovarian cancer. (C) The correlation between TRS and immune infiltration in ovarian cancer. (D) The level of macrophages M2/M1 proportion in ovarian cancer patients with high and low-risk score in TCGA and GSE140082 cohort. The difference of the score of immune cells (E), immune-related functions (F) and HLA-related genes (G) in different risk score group of ovarian cancer. *p < 0.05, **p < 0.01, ***p < 0.001.