Four-miRNA signature as a prognostic tool for lung adenocarcinoma

OncoTargets and Therapy
Yan LinJianfeng Zhang

Abstract

The aim of this study was to generate a novel miRNA expression signature to accurately predict prognosis for patients with lung adenocarcinoma (LUAD). Using expression profiles downloaded from The Cancer Genome Atlas database, we identified multiple miRNAs with differential expression between LUAD and paired healthy tissues. We then evaluated the prognostic values of the differentially expressed miRNAs using univariate/multivariate Cox regression analysis. This analysis was ultimately used to construct a four-miRNA signature that effectively predicted patient survival. Finally, we analyzed potential functional roles of the target genes for these four miRNAs using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. Based on our cutoff criteria (P<0.05 and |log2FC| >1.0), we identified a total of 187 differentially expressed miRNAs, including 148 that were upregulated in LUAD tissues and 39 that were downregulated. Four miRNAs (miR-148a-5p, miR-31-5p, miR-548v, and miR-550a-5p) were independently associated with survival based on Kaplan-Meier analysis. We generated a signature index based on the expression of these four miRNAs and stratified patients into low- and high-risk groups. Patients in t...Continue Reading

Citations

Apr 19, 2019·Journal of Cellular Physiology·Bing HanLianfeng Zhang
Jan 10, 2019·BMC Cancer·Chathura SiriwardhanaYouping Deng
Aug 5, 2020·Combinatorial Chemistry & High Throughput Screening·Zhichao ChenWenhao Wei

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BETA
surgical resection

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R
TargetScan
limma
clusterProfiler
SPSS

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