title: Bioinformatics approach reveals systematic mechanism underlying lung adenocarcinoma.
abstract: BACKGROUND
  The purpose of this work was to explore the systematic molecular mechanism of lung adenocarcinoma and gain a deeper insight into it.
  
  
  METHODS
  Comprehensive bioinformatics methods were applied. Initially, significant differentially expressed genes (DEGs) were analyzed from the Affymetrix microarray data (GSE27262) deposited in the Gene Expression Omnibus (GEO). Subsequently, gene ontology (GO) analysis was performed using online Database for Annotation, Visualization and Integration Discovery (DAVID) software. Finally, significant pathway crosstalk was investigated based on the information derived from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.
  
  
  RESULTS
  According to our results, the N-terminal globular domain of the type X collagen (COL10A1) gene and transmembrane protein 100 (TMEM100) gene were identified to be the most significant DEGs in tumor tissue compared with the adjacent normal tissues. The main GO categories were biological process, cellular component and molecular function. In addition, the crosstalk was significantly different between non-small cell lung cancer pathways and inositol phosphate metabolism pathway, focal adhesion signal pathway, vascular smooth muscle contraction signal pathway, peroxisome proliferator-activated receptor (PPAR) signaling pathway and calcium signaling pathway in tumor.
  
  
  CONCLUSIONS
  Dysfunctional genes and pathways may play key roles in the progression and development of lung adenocarcinoma. Our data provide a systematic perspective for understanding this mechanism and may be helpful in discovering an effective treatment for lung adenocarcinoma.
authors.affiliation: 1 Department of Respiratory Medicine, The First Hospital of Nanchang University, Nanchang, Jiangxi - PR China.
authors.forename: Xiya
authors.initials: X
authors.lastname: Wu
authors.forename: Wei
authors.initials: W
authors.lastname: Zhang
authors.forename: Yunhua
authors.initials: Y
authors.lastname: Hu
authors.forename: Xianghua
authors.initials: X
authors.lastname: Yi
mesh_terms: D000230:Adenocarcinoma / Q000235:genetics* / Q000378:metabolism*; D000077192:Adenocarcinoma of Lung; D002118:Calcium / Q000378:metabolism; D024121:Collagen Type X / Q000235:genetics / Q000378:metabolism; D019295:Computational Biology; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D063990:Gene Ontology; D006801:Humans; D008175:Lung Neoplasms / Q000235:genetics* / Q000378:metabolism*; D008565:Membrane Proteins / Q000235:genetics / Q000378:metabolism; D047492:Peroxisome Proliferator-Activated Receptors / Q000235:genetics / Q000378:metabolism; D040081:Protein Array Analysis; D020239:Receptor Cross-Talk; D015398:Signal Transduction; D012984:Software
chemical_list: D024121:Collagen Type X; D008565:Membrane Proteins; D047492:Peroxisome Proliferator-Activated Receptors; C584320:TMEM100 protein, human; D002118:Calcium