Construction of an HCC recurrence model based on the investigation of immune-related lncRNAs and related mechanisms

免疫系统 计算生物学 医学 生物 癌症研究 免疫学
作者
Xiang-Xu Wang,Lihong Wu,Liping Ai,Wei Pan,Jing-Yi Ren,Qiong Zhang,Hongmei Zhang
出处
期刊:Molecular therapy. Nucleic acids [Cell Press]
卷期号:26: 1387-1400 被引量:10
标识
DOI:10.1016/j.omtn.2021.11.006
摘要

Long noncoding RNAs (lncRNAs) are emerging as critical regulators of gene expression and play fundamental roles in immune regulation. Growing evidence suggests that immune-related genes and lncRNAs can serve as markers to predict the prognosis of patients with cancers, including hepatocellular carcinoma (HCC). This study aimed to contract an immune-related lncRNA (IR-lncRNA) signature for prospective assessment to predict early recurrence of HCC. A total of 319 HCC samples under radical resection were randomly divided into a training cohort (161 samples) and a testing cohort (158 samples). In the training dataset, univariate, lasso, and multivariate Cox regression analyses identified a 9-IR-lncRNA signature closely related to disease-free survival. Kaplan-Meier analysis, principal component analysis, gene set enrichment analysis, and nomogram were used to evaluate the risk model. The results were further confirmed in the testing cohort. Furthermore, we constructed a competitive endogenous RNA regulatory network. The results of the present study indicated that this 9-IR-lncRNA signature has important clinical implications for improving predictive outcomes and guiding individualized treatment in HCC patients. These IR-lncRNAs and regulated genes may be potential biomarkers associated with the prognosis of HCC.
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