肾透明细胞癌
肿瘤科
列线图
危险系数
比例危险模型
内科学
免疫疗法
医学
长非编码RNA
肾细胞癌
癌症
置信区间
生物
基因
核糖核酸
遗传学
作者
Huantao Zong,Anning Li,Yongjin Huang,Xuanyan Che,Yong Zhang,Guikai Ma,Zhongbao Zhou
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI