Department of Obstetrics and Gynaecology, Shengjing Hospital Affiliated to China Medical University, Liaoning, China; Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Liaoning, China.
Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Life Sci. 2021 Jul 15;277:119461. doi: 10.1016/j.lfs.2021.119461. Epub 2021 Mar 31.
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.
卵巢癌（OC）是最常见的妇科恶性肿瘤，死亡率最高。然而，有效的免疫治疗靶点和生物标志物的鉴定存在许多挑战。CIBERSORT 用于计算 379 个 OC 样本中 22 种免疫细胞类型的丰度，并表明三种免疫细胞类型与不良预后相关。进一步分析表明，有 17 个枢纽基因与这三种细胞类型相关。我们筛选了与临床病理因素相关的差异表达免疫相关预后基因，即 CST4。我们使用临床标本检测 CST4 的表达情况，并确定 CST4 在 OC 患者中高表达，且与不良预后相关。我们的研究结果表明，免疫细胞的浸润影响 OC 患者的生存，为 CST4 等提供了治疗靶点，加深了我们对 OC 免疫微环境的理解，并增强了免疫治疗的理论基础。
