Department of Gynaecology and Obstetrics, The Second Affiliated Hospital of Xi'an Jiaotong University, 710004 Xi'an, Shaanxi, China.
Department of Gynaecology and Obstetrics, Shangluo Central Hospital, 726000 Shangluo, Shaanxi, China.
Front Biosci (Landmark Ed). 2023 Jan 10;28(1):4. doi: 10.31083/j.fbl2801004.
Ovarian cancer (OV) is a severe and common gynecological disease. Ferroptosis can regulate the progression and invasion of tumors. The immune system is a decisive factor in cancer. The present study aimed to use gene expression data to establish an immunity and ferroptosis-related risk score model as a prognostic biomarker to predict clinical outcomes and the immune microenvironment of OV.
Common gene expression data were searched from the Gene Expression Omnibus and The Cancer Genome Atlas databases. Immunity-related genes and ferroptosis-related genes were searched and downloaded from the ImmPort and FerrDb databases, followed by the analysis of the overall survival of patients with OV and the identification of genes. Subsequently, the status of the infiltration of immune cells and the association between immune checkpoints and risk score were assessed.
A total of 10 prognostic genes (, , , , , , , , , and ) were included in the immunity and ferroptosis-related risk score model. The high-risk group had a higher infiltration of immune cells. The risk score, an independent prognostic feature of OV was negatively associated with each immune checkpoint. The risk score may thus help to predict the response to immunotherapy.
The immunity and ferroptosis-related risk score model is an independent prognostic factor for OV. The established risk score may help to predict the response of patients to immunotherapy.
卵巢癌（OV）是一种严重且常见的妇科疾病。铁死亡可以调节肿瘤的进展和侵袭。免疫系统是癌症的决定性因素。本研究旨在使用基因表达数据建立一个与免疫和铁死亡相关的风险评分模型，作为预测卵巢癌临床结局和免疫微环境的预后生物标志物。
从基因表达综合数据库和癌症基因组图谱数据库中搜索常见的基因表达数据。从 ImmPort 和 FerrDb 数据库中搜索和下载与免疫和铁死亡相关的基因，并分析卵巢癌患者的总生存率和鉴定基因。随后，评估免疫细胞浸润的状态以及免疫检查点与风险评分之间的关联。
共纳入 10 个与免疫和铁死亡相关的预后基因（,,,,,,,,, 和 ），构建了一个风险评分模型。高风险组的免疫细胞浸润程度更高。风险评分是卵巢癌的一个独立预后特征，与每个免疫检查点呈负相关。因此，该评分可能有助于预测免疫治疗的反应。
与免疫和铁死亡相关的风险评分模型是卵巢癌的一个独立预后因素。建立的风险评分可能有助于预测患者对免疫治疗的反应。
