Title:Identification of Three Differentially Expressed miRNAs as Potential Biomarkers for Lung Adenocarcinoma Prognosis
VOLUME: 23 ISSUE: 2
Author(s):Wei Wang, Bin Liu, Xiaoran Duan, Xiaolei Feng, Tuanwei Wang, Pengpeng Wang, Mingcui Ding, Qiao Zhang, Feifei Feng, Yongjun Wu, Wu Yao, Qi Wang and Yongli Yang*
Affiliation:Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, Department of Toxicology, College of Public Health, Zhengzhou University, Zhengzhou, Department of Toxicology, College of Public Health, Zhengzhou University, Zhengzhou, Department of Toxicology, College of Public Health, Zhengzhou University, Zhengzhou, Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, Department of Occupational Health and Occupational Disease, College of Public Health, Zhengzhou University, Zhengzhou, Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou
Keywords:Lung adenocarcinoma, miRNAs, TCGA, prognosis, biomarkers, computational approaches.
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.
