Clinical Value of lncRNA LUCAT1 Expression in Liver Cancer and its Potential Pathways
Clinical Value of lncRNA LUCAT1 Expression in Liver Cancer and its Potential Pathways
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DOI：
10.15403/jgld-356
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发表时间：
2019-12-01
影响因子：
2.1
通讯作者：
Liu, Yahui
中科院分区：
文献类型：
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作者：
Jiao, Yan;Li, Yanqing;Liu, Yahui
背景和目标：新兴的研究表明，长链非编码RNA（lncRNA）在许多癌症（包括肝癌）中起着预后标志物的作用。在这里，我们专注于lncRNA肺癌相关的转录本1（LUCAT 1）肝癌pregnancy.Methods：RNA-seq和表型数据从癌症基因组图谱（TCGA）下载。采用卡方检验评估LUCAT 1表达与临床特征之间的相关性。采用生存分析和考克斯回归分析比较不同LUCAT 1表达组（ROC确定的最佳截止值）。使用对数秩检验计算Kaplan-Meier曲线的p值。采用ROC曲线评价其诊断价值。结果：对371例患者的TCGA -肝细胞癌（LIHC）RNA-seq数据的数据挖掘显示LUCAT 1在癌组织中过表达。LUCAT 1高表达与年龄（p=0.007）、组织学分级（p=0.009）、T分类（p=0.022）和生存状态（p=0.002）相关。高LUCAT 1患者的总生存率和无复发生存率低于低LUCAT 1患者。多变量分析确定LUCAT 1是生存不良的独立危险因素。ROC曲线显示中等诊断性能。结论：LUCAT 1高表达是肝癌的独立预后因子。
Background & Aims: Emerging studies indicate that long noncoding RNAs (lncRNAs) play a role as prognostic markers in many cancers, including liver cancer. Here, we focused on the lncRNA lung cancer-associated transcript 1 (LUCAT1) for liver cancer prognosis.Methods: RNA-seq and phenotype data were downloaded from the Cancer Genome Atlas (TCGA). Chi- square tests were used to evaluate the correlations between LUCAT1 expression and clinical features. Survival analysis and Cox regression analysis were used to compare different LUCAT1 expression groups (optimal cutoff value determined by ROC). The log-rank test was used to calculate the p-value of the Kaplan-Meier curves. A ROC curve was used to evaluate the diagnostic value. Gene Set Enrichment Analysis (GSEA) was performed, and competing endogenous RNA (ceRNA) networks were constructed to explore the potential mechanism.Results: Data mining of the TCGA -Liver Hepatocellular Carcinoma (LIHC) RNA-seq data of 371 patients showed the overexpression of LUCAT1 in cancerous tissue. High LUCAT1 expression was associated with age (p=0.007), histologic grade (p=0.009), T classification (p=0.022), and survival status (p=0.002). High LUCAT1 patients had a poorer overall survival and relapse-free survival than low LUCAT1 patients. Multivariate analysis identified LUCAT1 as an independent risk factor for poor survival. The ROC curve indicated modest diagnostic performance. GSEA revealed the related signaling pathways, and the ceRNA network uncovered the underlying mechanism.Conclusion: High LUCAT1 expression is an independent prognostic factor for liver cancer.