Xing Chaoqun, Yin Huiming, Yao Zhi-Yong, Xing Xiao-Liang
School of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China.
The First Affiliated Hospital of Hunan University of Medicine, Huaihua, China.
Front Oncol. 2022 Jan 11;11:774558. doi: 10.3389/fonc.2021.774558. eCollection 2021.
Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) are among the most common malignancies of the female genital tract. Ferroptosis and immunity regulate each other and play important roles in the progression of CESC. The present study aimed to screen ferroptosis- and immune-related differentially expressed genes (FI-DEGs) to identify suitable prognostic signatures for patients with CESC. We downloaded the RNAseq count data and corresponding clinical information of CESC patients from The Cancer Genome Atlas database; obtained recognized ferroptosis- and immune-related genes from the FerrDb and ImmPort databases, respectively; and screened for suitable prognostic signatures using a series of bioinformatics analyses. We identified eight FI-DEGs (, , , , , , , and ) that were independently correlated with the overall survival of patients with CESC. The prediction model constructed using these eight FI-DEGs was also independently correlated with overall survival. Both the sensitivity and specificity of the prediction model constructed using these eight signatures were over 60%. The comprehensive index of ferroptosis and immune status was significantly correlated with the immunity of patients with CESC. In conclusion, the risk assessment model constructed with these eight FI-DEGs predicted the CESC outcomes. Therefore, these eight FI-DEGs could serve as prognostic signatures for CESC.
宫颈鳞状细胞癌和宫颈管腺癌（CESC）是女性生殖道最常见的恶性肿瘤之一。铁死亡与免疫相互调节，在CESC进展中发挥重要作用。本研究旨在筛选铁死亡和免疫相关差异表达基因（FI-DEGs），以确定CESC患者合适的预后标志物。我们从癌症基因组图谱数据库下载了CESC患者的RNAseq计数数据及相应临床信息；分别从FerrDb和ImmPort数据库获取公认的铁死亡和免疫相关基因；并通过一系列生物信息学分析筛选合适的预后标志物。我们鉴定出8个FI-DEGs（此处原文缺失具体基因名称），它们与CESC患者的总生存期独立相关。使用这8个FI-DEGs构建的预测模型也与总生存期独立相关。使用这8个标志物构建的预测模型的敏感性和特异性均超过60%。铁死亡和免疫状态的综合指数与CESC患者的免疫显著相关。总之，用这8个FI-DEGs构建的风险评估模型可预测CESC的预后。因此，这8个FI-DEGs可作为CESC的预后标志物。
