Title of article :
Identification of CDKN3 and UBE2C mRNAs as Prognostic Biomarkers in Early-Stage Lung Adenocarcinoma Using Bioinformatics Strategy
Author/Authors :
Chen, Qiang Faculty of Life Science and Technology - Kunming University of Science and Technology - Kunming, China , Xu, Lutong Faculty of Life Science and Technology - Kunming University of Science and Technology - Kunming, China , Hu, Jing Faculty of Life Science and Technology - Kunming University of Science and Technology - Kunming, China , Wang, Tonglian Faculty of Life Science and Technology - Kunming University of Science and Technology - Kunming, China , Zhang, Kang Faculty of Life Science and Technology - Kunming University of Science and Technology - Kunming, China , Zhao, Hongbo Kunming Medical University - Kunming, China , Li, Yuanyue Faculty of Life Science and Technology - Kunming University of Science and Technology - Kunming, China , Shou, Tao The First People’s Hospital of Yunnan Province - Kunming, China
Abstract :
Background: Lung adenocarcinoma (LUAD) is the most common histological subtype of non-small cell lung cancer with very poor
5-year overall survival (OS) rate. It is histopathologically difficult to predict clinical outcome in early-stage LUAD. Identifying reliable
prognostic biomarker is absolutely critical to benefit from early additional treatment for early-stage LUAD patients.
Objectives: The purpose of the current study was to identify critical genes as prognostic biomarkers in early-stage LUAD using gene
expression profiles based on the microarray.
Methods: In this bioinformatics-based cross-study, gene expression profiles from early-stage LUAD, including GSE10072 and
GSE19804 genes were integrated using bioinformatics methods, including differentially expressed gene analysis (DEGA), Kyoto Encyclopedia
of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) network construction. Subsequently,
the survival analysis of key genes was performed using The Cancer Genome Atlas (TCGA) database and was validated using
online Gene Expression Profiling Interactive Analysis (GEPIA) database.
Results: A total of 89 up-regulated and 214 down-regulated genes were identified in early-stage LUAD, and the functional changes of
303 differentially expressed genes (DEGs) were mainly related to cell cycle. A PPI network was established by online STRING database
with 207 nodes and 775 edges. Centrality analysis showed that CDKN3 and UBE2C genes were identified as key genes implicated
in early-stage LUAD. Survival analysis revealed that low mRNA expressions of CDKN3 and UBE2C were significantly associated with
longer OS of early-stage LUAD patients.
Conclusions: This cross-study found key dysregulated genes involved in early-stage LUAD, which might provide insights into the
pathogenesis of early-stage LUAD, and identified UBE2C and CDKN3 might serve as potential diagnostic and prognostic biomarkers
and therapeutic targets for early-stage LUAD.
Keywords :
Adenocarcinoma , Bioinformatics , Biomarker , Early , Gene , Lung , Outcome , Prognostic , Stage , Survival
Journal title :
Iranian Red Crescent Medical Journal
