Research Article

Landscape of Immune Microenvironment in Epithelial Ovarian Cancer and Establishing Risk Model by Machine Learning

Figure 1

High infiltrating immune cells predict favorable clinical outcomes in epithelial ovarian cancer. (a) The distribution of immune score between EOC (N = 10) and normal tissues (N = 5) in GSE105437. Box plot shows that the immune score of EOC is significantly higher than normal tissues (Wilcoxon test, ). (b) In GSE4122 dataset, the immune score was higher in malignant ovarian tissues (Wilcoxon test, ). (c–e) Box plots of immune score in EOC patients from GSE32062, stratified by (c) vital status, (d) grade, and (e) FIGO stage. (f) Top four mutated genes in EOC from TCGA. (g–h) Box plots of immune score in EOC patients, stratified by TMB, CSMD3, MUC16, TP53, and TTN. EOC: epithelial ovarian cancer; TMB: tumor mutation burden.
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