Department of Urology, Beijing TianTan Hospital, Capital Medical University, Beijing, China.
Department of Thoracic Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, China.
J Biochem Mol Toxicol. 2023 Nov;37(11):e23464. doi: 10.1002/jbt.23464. Epub 2023 Jul 21.
Ferroptosis is a novel kind of iron- and reactive oxygen-induced cell death, investigation into ferroptosis-associated long noncoding RNAs (FALs) in clear cell renal cell carcinoma (ccRCC) is scarce. The goal of the research was to look at FALs' possible predictive significance, as well as their interaction with the immune microenvironment and therapeutic responsiveness of ccRCC. The Cancer Genome Atlas database was employed to retrieve RNA sequencing data from 530 individuals with ccRCC. Patients with ccRCC were randomly assigned to one of two groups: training or testing. Pearson's correlation analysis through the identified ferroptosis-related genes was implemented to screen for FALs. Finally, a FALs signature composed of eight lncRNAs was discovered for predicting survival outcomes in ccRCC patients. ccRCC patients in the training, testing, and overall cohorts were separated into low-risk and high-risk groups based on their risk score. The FALs signature was identified to be an independent factor for overall survival in the multivariate Cox analysis (hazard ratio = 1.013, 95% confidence interval = 1.008-1.018, p < 0.001). A clinically prognostic nomogram was created depending on the FALs signature and clinical characteristics. The nomogram provides greater clinical practicability and may reliably estimate patients' overall survival. The FALs signature may additionally precisely represent ccRCC's immunological environment, immunotherapy reaction, and drug sensitivity. The eight FALs and their signature provide precise and reliable methods for evaluating the clinical effects of in ccRCC patients, and they could be biological markers and targets for therapy.
铁死亡是一种新型的铁和活性氧诱导的细胞死亡,关于透明细胞肾细胞癌 (ccRCC) 中与铁死亡相关的长非编码 RNA (FAL) 的研究还很缺乏。本研究旨在探讨 FALs 的潜在预测意义,以及它们与 ccRCC 免疫微环境和治疗反应的相互作用。研究从 530 名 ccRCC 患者中提取了癌症基因组图谱数据库的 RNA 测序数据。将 ccRCC 患者随机分配到训练组或测试组。通过鉴定的铁死亡相关基因进行 Pearson 相关性分析,筛选 FALs。最后,发现了一个由 8 个 lncRNAs 组成的 FALs 特征,用于预测 ccRCC 患者的生存结果。根据风险评分,将训练、测试和总体队列中的 ccRCC 患者分为低风险和高风险组。多因素 Cox 分析表明,FALs 特征是 ccRCC 患者总生存期的独立因素(危险比=1.013,95%置信区间=1.008-1.018,p<0.001)。根据 FALs 特征和临床特征创建了临床预后列线图。该列线图提供了更大的临床实用性,可以可靠地估计患者的总生存期。FALs 特征还可以更准确地代表 ccRCC 的免疫环境、免疫治疗反应和药物敏感性。这 8 个 FALs 及其特征为评估 ccRCC 患者的临床效果提供了精确和可靠的方法,它们可能成为生物标志物和治疗靶点。