TY - JOUR AB - Increasing evidence has indicated that the abnormal expressions of certain genes serve important roles in tumorigenesis, progression and metastasis. The aim of the present study was to explore the key differentially expressed genes (DEGs) between non‑small cell lung cancer (NSCLC) and matched normal lung tissues by analyzing 4 different mRNA microarray datasets downloaded from the Gene Expression Omnibus (GEO) database. In improving the reliability of the bioinformatics analysis, the DEGs in each dataset that met the cut‑off criteria (adjust P‑value <0.05 and |log2fold‑change (FC)|>1) were intersected with each other, from which 195 were identified (consisting of 57 upregulated and 138 downregulated DEGs). The GO analysis results revealed that the upregulated DEGs were significantly enriched in various biological processes (BP), including cell cycle, mitosis and cell proliferation while the downregulated DEGs were significantly enriched in angiogenesis and response to drug and cell adhesion. The hub genes, including CCNB1, CCNA2, CEP55, PBK and HMMR, were identified based on the protein‑protein interaction (PPI) network. The Kaplan‑Meier survival analysis indicated that the high expression level of each of these hub genes correlates with poorer overall survival in all patients with NSCLC, which indicates that they may serve important roles in the progression of NSCLC. In conclusion, the DEGs and hub genes identified in the present study may contribute to the comprehensive understanding of the molecular mechanisms of NSCLC and may be used as diagnostic and prognostic biomarkers as well as molecular targets for the treatment of NSCLC. AD - Chongqing Productivity Promotion Center for The Modernization of Chinese Traditional Medicine, School of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P.R. China Chongqing Key Laboratory of Catalysis and Functional Organic Molecules, College of Environment and Resource, Chongqing Technology and Business University, Chongqing 400067, P.R. China Biomedical Analysis Center, Third Military Medical University, Chongqing 400715, P.R. China Department of Respiratory Medicine, Southwest Hospital, Third Military Medical University, Chongqing 400715, P.R. China AU - Xiao,Yubo AU - Feng,Min AU - Ran,Haiying AU - Han,Xiao AU - Li,Xuegang DA - 2018/05/01 DO - 10.3892/mmr.2018.8726 EP - 6386 IS - 5 JO - Mol Med Rep KW - non‑small cell lung cancer microarray differentially expressed genes bioinformatics analysis hub genes PY - 2018 SN - 1791-2997 1791-3004 SP - 6379 ST - Identification of key differentially expressed genes associated with non‑small cell lung cancer by bioinformatics analyses T2 - Molecular Medicine Reports TI - Identification of key differentially expressed genes associated with non‑small cell lung cancer by bioinformatics analyses UR - https://doi.org/10.3892/mmr.2018.8726 VL - 17 ER -