Qin Aijun, Qian Qiaoxia, Cui Xiaopei, Bai Wenling
Shanghai Huaota Biopharmaceutical Co., Ltd., Shanghai, China.
School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, China.
Ann Transl Med. 2023 Feb 15;11(3):151. doi: 10.21037/atm-22-6659. Epub 2023 Feb 10.
Endometrial cancer (EC) is a kind of common gynecological tumor. Further study on the markers related to the prognosis of endometrial cancer is important for women worldwide.
The Cancer Genome Atlas (TCGA) database was used to obtain the transcriptome profiling and clinical data. A model was built using packages based on R software. Immune-related databases were employed to analyze the infiltration of immunocytes. Quantitative real-time PCR (qRT-PCR), cell counting kit-8 (CCK-8), and transwell assays were utilized to investigate the role of CFAP58-DT in EC.
Following Cox regression analysis, 1,731 ferroptosis-related long non-coding RNA (lncRNA) were screened, and a 9-related lncRNA prognostic model was constructed. Patients were classified as high- and low-risk according to their expression spectrum. Kaplan-Meier (KM) analysis showed that the prognosis of low-risk patients was poor. Operating characteristic curves, decision curve analysis, and a nomogram suggested the model could independently guide prognostic evaluation, with higher sensitivity, specificity, and efficiency than other common clinical characteristics. Gene Set Enrichment Analysis (GSEA) was conducted to determine the enriched pathways among the two groups and evaluation of the immune-infiltrating conditions were performed to help improve immune therapy. Finally, we conducted cytological studies on the model's most important indicators.
Overall, we identified a prognostic ferroptosis-related lncRNA model based on CFAP58-DT for predicting the prognosis and immune-infiltrating conditions in EC. We concluded that the potential oncogenic role of CFAP58-DT can further guide immunotherapy and chemotherapy.
子宫内膜癌（EC）是一种常见的妇科肿瘤。进一步研究与子宫内膜癌预后相关的标志物对全球女性而言至关重要。
利用癌症基因组图谱（TCGA）数据库获取转录组图谱和临床数据。使用基于R软件的程序包构建模型。利用免疫相关数据库分析免疫细胞浸润情况。采用定量实时聚合酶链反应（qRT-PCR）、细胞计数试剂盒-8（CCK-8）和Transwell实验研究CFAP58-DT在子宫内膜癌中的作用。
经过Cox回归分析，筛选出1731个与铁死亡相关的长链非编码RNA（lncRNA），并构建了一个包含9个lncRNA的预后模型。根据患者的表达谱将其分为高风险和低风险组。Kaplan-Meier（KM）分析显示低风险患者的预后较差。操作特征曲线、决策曲线分析和列线图表明该模型能够独立指导预后评估，其敏感性、特异性和效率均高于其他常见临床特征。进行基因集富集分析（GSEA）以确定两组之间的富集通路，并评估免疫浸润情况以助力改善免疫治疗。最后，我们对该模型最重要的指标进行了细胞学研究。
总体而言，我们基于CFAP58-DT鉴定了一个与铁死亡相关的lncRNA预后模型，用于预测子宫内膜癌的预后和免疫浸润情况。我们得出结论，CFAP58-DT的潜在致癌作用可进一步指导免疫治疗和化疗。
