Four-miRNA signature as a prognostic tool for lung adenocarcinoma
Authors Lin Y, Lv Y, Liang R, Yuan C, Zhang J, He D, Zheng X, Zhang J
Received 24 October 2017
Accepted for publication 28 November 2017
Published 21 December 2017 Volume 2018:11 Pages 29—36
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Dr Ingrid Espinoza
Yan Lin,1 Yufeng Lv,1 Rong Liang,1 Chunling Yuan,1 Jinyan Zhang,1 Dan He,2 Xiaowen Zheng,2 Jianfeng Zhang2
1Department of Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, 2Department of Emergency, The Second Affiliated Hospital of Guangxi Medical University, Nanning, People’s Republic of China
Purpose: The aim of this study was to generate a novel miRNA expression signature to accurately predict prognosis for patients with lung adenocarcinoma (LUAD).
Patients and methods: 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.
Results: 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 the high-risk group had significantly shorter survival times than those in the low-risk group (P=0.002). A functional enrichment analysis suggested that the target genes of these four miRNAs were involved in protein phosphorylation and the Hippo and sphingolipid signaling pathways.
Conclusion: Taken together, our results suggest that our four-miRNA signature can be used as a prognostic tool for patients with LUAD.
Keywords: lung adenocarcinoma, miRNA, prognosis
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