Identification of miRNA profiling in prediction of tumor recurrence and progress and bioinformatics analysis for patients with primary esophageal cancer: Study based on TCGA database
Identification of miRNA profiling in prediction of tumor recurrence and progress and bioinformatics analysis for patients with primary esophageal cancer: Study based on TCGA database
复制标题
原发性食管癌患者的miRNA谱分析预测肿瘤复发进展及生物信息学分析：基于TCGA数据库的研究
DOI：
10.1016/j.prp.2018.10.009
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发表时间：
2018-12-01
影响因子：
2.8
通讯作者：
Yan, Hong
中科院分区：
文献类型：
--
作者：
Chen, Fangyao;Zhou, Hui;Yan, Hong
目的探讨食管癌预后mirna对肿瘤复发及进展的预测作用。方法：从TCGA数据库下载食管癌患者的MiRNA谱和临床特征。进行单因素分析以选择潜在的预后mirna和协变量。采用基于LASSO的逻辑回归来确定给定协变量的预后mirna。生物信息学分析包括基因本体、疾病本体和途径富集分析。基于多变量逻辑回归生成了一个nomogram，以说明所鉴定的mirna与肿瘤复发和进展风险之间的关联。结果：从TCGA数据库中共获得1881个mirna和10个临床特征。最终鉴定出18个mirna，其中6个是首次鉴定出与食管癌复发和进展相关的mirna。生物信息学分析表明，鉴定的mirna与食管癌的复发和进展有关。鉴定的mirna与肿瘤复发和进展风险之间的关联以图形式呈现。结论：新发现的6个mirna可能是预测食管癌复发和进展的潜在生物标志物。
Object This study focused on the identification of prognostic miRNAs for the prediction of tumor recurrence and progress in esophageal cancer.Methods: MiRNA profiling and clinical characteristics of esophageal cancer patients was downloaded from the TCGA database. Univariate analysis was performed to select potential prognostic miRNAs and covariates. LASSO based logistic regression was conducted to identify the prognostic miRNAs given covariates. Bioinformatics analysis including gene ontology, disease ontology and pathway enrichment analysis were performed. A nomogram was generated based on multivariate logistic regression to illustrate the association between the identified miRNAs and the risk of tumor recurrence and progress.Results: A total of 1881 miRNAs and 10 clinical characteristics were obtained from TCGA database. 18 miRNAs were finally identified in which 6 miRNAs were identified for the first time to be associated with the tumor recurrence and progress of esophageal cancer given covariates. Bioinformatics analysis suggested that the identified miRNAs were associated with the tumor recurrence and progress of esophageal cancer. The association between identified miRNAs and risk of tumor recurrence and progress were presented in a nomogram.Conclusion: The 6 newly identified miRNAs may be potential biomarkers for the prediction of tumor recurrence and progress of esophageal cancer.