Abstract
Ovarian cancer (OC) is the most common gynecological malignant tumor with the highest mortality rate. However, identification of effective immune therapeutic targets and biomarkers are beset by many challenges. CIBERSORT was used to calculate the abundance of 22 immune cell types in 379 OC samples, and indicated that three immune cell types were associated with poor prognoses. Further analysis revealed that 17 hub genes were associated with these three cell types. We screened differentially expressed immune-related prognostic gene associated with clinicopathological factors, which was CST4. We used clinical specimens to detect the expression of CST4, and determined that CST4 was both highly expressed in OC patients and associated with poor prognoses. Our findings indicated that infiltration of immune cells affected the survival of patients with OC, provided therapeutic targets represented by CST4, deepened our understanding of the immune microenvironment of OC, and enhanced the theoretical basis of immunotherapy.