细胞质lncRNA在ceRNA网络中对肝癌的预后作用
Prognostic Effect of Cytoplasmic LncRNAs on Hepatocarcinoma in CeRNA Network
盖智敏 1陈颖丽 1刘姝含 1杨佳宏1
作者信息
- 1. 内蒙古大学物理科学与技术学院,呼和浩特 010021
- 折叠
摘要
长链非编码RNA(long non-coding RNA,lncRNA)的异常表达对肝癌(HCC)的发生和发展起着至关重要的作用,并且lncRNA的特定功能与其细胞内定位是密切相关的.lncRNA广泛存在于细胞质和细胞核中,而竞争性内源RNA(ceRNA)主要在细胞质中发挥作用,因而挑选出位于细胞质中的lncRNA进行研究.从癌症基因组图谱(TCGA)中获得了 374例HCC组织和50例正常组织中lncRNA、microRNA(miRNA)和信使RNA(mRNA)的表达谱,并鉴定出差异表达基因.构建了一个HCC相关的ceRNA网络,随后通过建立LASSO Cox模型和多因素Cox回归分析,构建了基于5个lncRNA基因的预后模型,将肝癌样本分为高、低风险组,KM生存分析显示高风险组患者预后较差.通过单因素和多因素分析发现,该模型可能是预测肝癌患者的独立因素.研究结论显示,找到了一些参与HCC进展的潜在预后细胞质lncRNA.
Abstract
Abnormal expression of long non-coding RNAs(lncRNAs)plays a crucial role in the occurrence and development of liver cancer(HCC).Moreover,the specific function of lncRNAs is closely related to their intracellular localizations.LncRNAs are widely located in cytoplasm and nucleus,but competitive endogenous RNAs(ceRNAs)mainly act in cytoplasm,lncRNAs located in cytoplasm are selected.The expression profiles of lncRNAs,microRNAs(miRNAs)and messenger RNAs(mRNAs)in 374 HCC tissues and 50 normal tissues are obtained from the Cancer Genome Atlas(TCGA),and the differentially expressed genes are identified.A ceRNA network associated with HCC is constructed,and then a prognosis model based on five lncRNA genes is constructed by establishing LASSO Cox model and multivariate Cox regression analysis.HCC samples are divided into high and low risk groups,and KM survival analysis shows that patients in the high risk group have a poor prognosis.Through univariate and multifactorial analysis,it is found that this model may be an independent factor in predicting liver cancer patients.The conclusions suggest that some potential prognostic cytoplasmic lncRNAs involved in HCC progression have been identified.
关键词
ceRNA/肝细胞癌/lncRNA/总生存率/风险评分Key words
ceRNA/hepatocellular carcinoma/lncRNA/overall survival/risk score引用本文复制引用
基金项目
国家自然科学基金(62361047)
国家自然科学基金(32160216)
出版年
2024
NETL
NSTL
万方数据