title: MIR-142-5p and miR-9 may be involved in squamous lung cancer by regulating cell cycle related genes.
abstract: OBJECTIVE
  To identify key genes associated with squamous lung cancer (SLC) through analyzing gene expression data with bioinformatic tools, which could be potential biomarkers for diagnosis and treatment.
  
  
  METHODS
  Gene expression data set GSE3268 was downloaded from Gene Expression Omnibus, including 5 SLC samples and 5 healthy controls. Data pre-treatment and differential analysis were performed with packages of R. Cluster analysis was done based on gene expression values to globally present the difference between the two states. Differentially expressed genes (DEGs) were divided into up-regulated and down-regulated genes, and then underwent functional enrichment analysis with DAVID tools. WebGestalt was used to retrieve microRNAs for the DEGs and then a regulatory network was constructed. GENECODIS was selected for functional annotation for all the genes in the network.
  
  
  RESULTS
  A total of 537 DEGs were obtained. Functional enrichment analysis revealed that cell cycle was significantly enriched in up-regulated genes. Besides, two microRNAs (miRNAs), MIR-142-5p and miR-9, were retrieved, which were potential tools to regulate the expression of key genes.
  
  
  CONCLUSIONS
  These DEGs may be involved in pathogenesis of SLC and some of them could be potential biomarkers. Besides, MIR-142-5p and miR-9 may be utilized to treat SLC as they could modulate cell cycle.
authors: Department of Thoracic Surgery, Department of Respiratory Medicine, Department of Orthopedics, Department of Cardiovascular Surgery; the Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China. syh1971@163.com  
authors: Y-H
authors: YH
authors: Su
authors: Z
authors: Z
authors: Zhou
authors: K-P
authors: KP
authors: Yang
authors: X-G
authors: XG
authors: Wang
authors: Y
authors: Y
authors: Zhu
authors: X-E
authors: XE
authors: Fa
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D002294:Carcinoma, Squamous Cell / Q000235:genetics* / Q000473:pathology; D016022:Case-Control Studies; D018797:Cell Cycle Proteins / Q000235:genetics*; D016000:Cluster Analysis; D019295:Computational Biology; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods; D015972:Gene Expression Regulation, Neoplastic; D020022:Genetic Predisposition to Disease; D006801:Humans; D008175:Lung Neoplasms / Q000235:genetics* / Q000473:pathology; D035683:MicroRNAs / Q000032:analysis*; D020411:Oligonucleotide Array Sequence Analysis; D010641:Phenotype
chemical_list: D014408:Biomarkers, Tumor; D018797:Cell Cycle Proteins; C555159:MIRN142 microRNA, human; C541874:MIRN92 microRNA, human; D035683:MicroRNAs