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鉴定三个差异表达的 miRNA 作为肺腺癌预后的潜在生物标志物。

Identification of Three Differentially Expressed miRNAs as Potential Biomarkers for Lung Adenocarcinoma Prognosis.

机构信息

Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, China.

The Key Laboratory of Nanomedicine and Health Inspection of Zhengzhou, Zhengzhou, China.

出版信息

Comb Chem High Throughput Screen. 2020;23(2):148-156. doi: 10.2174/1386207323666200124123103.

DOI:10.2174/1386207323666200124123103

PMID:31976830

Abstract

OBJECTIVE

The aim of this study areto screen MicroRNAs (miRNAs) related to the prognosis of lung adenocarcinoma (LUAD) and to explore the possible molecular mechanisms.

METHODS

The data for a total of 535 patients with LUAD data were downloaded from The Cancer Genome Atlas (TCGA) database. The miRNAs for LUAD prognosis were screened by both Cox risk proportional regression model and Last Absolute Shrinkage and Selection Operator (LASSO) regression model. The performances of the models were verified by time-dependent Receiver Operating Characteristic (ROC) curve. The possible biological processes linked to the miRNAs' target genes were analyzed by Gene Ontology (GO), Kyoto gene and genome encyclopedia (KEGG).

RESULTS

Among 127 differentially expressed miRNAs identified from the screening analysis, there are 111 up-regulated and 16 down-regulated miRNAs. Three of them, hsa-miR-1293, hsa-miR-490 and hsa-miR- 5571, were also significantly associated with the survival of the LUAD patients. The targets of the three miRNAs are significantly enriched in systemic lupus erythematosus pathways.

CONCLUSION

Hsa-miR-1293, hsa-miR-490 and hsa-miR-5571 can be potentially used as novel biomarkers for the prognosis prediction of LUAD.

摘要

目的

本研究旨在筛选与肺腺癌（LUAD）预后相关的 microRNAs（miRNAs），并探讨其可能的分子机制。

方法

从癌症基因组图谱（TCGA）数据库中下载了 535 例 LUAD 患者的数据。通过 Cox 风险比例回归模型和最小绝对收缩和选择算子（LASSO）回归模型筛选 LUAD 预后相关的 miRNAs。通过时间依赖性接收者操作特征（ROC）曲线验证模型的性能。通过基因本体论（GO）、京都基因和基因组百科全书（KEGG）分析与 miRNAs 靶基因相关的可能生物学过程。