title: Characterizing biomarkers in osteosarcoma metastasis based on an ego-network.
abstract: OBJECTIVE
  To characterize biomarkers that underlie osteosarcoma (OS) metastasis based on an ego-network.
  
  
  RESULTS
  From the microarray data, we obtained 13,326 genes. By combining PPI data and microarray data, 10,520 shared genes were found and constructed into ego-networks. 17 significant ego-networks were identified with p < 0.05. In the pathway enrichment analysis, seven ego-networks were identified with the most significant pathway.
  
  
  CONCLUSIONS
  These significant ego-modules were potential biomarkers that reveal the potential mechanisms in OS metastasis, which may contribute to understanding cancer prognoses and providing new perspectives in the treatment of cancer.
authors.affiliation: Department of Orthopaedics, Heze Municipal Hospital, Caozhou Road, Heze, 274031, Shandong, People's Republic of China.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Liu
authors.affiliation: Department of Orthopaedics, Heze Municipal Hospital, Caozhou Road, Heze, 274031, Shandong, People's Republic of China. songyanmed@yeah.net.
authors.forename: Yan
authors.initials: Y
authors.lastname: Song
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis / Q000235:genetics / Q000378:metabolism; D001859:Bone Neoplasms / Q000235:genetics / Q000378:metabolism / Q000473:pathology; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D012516:Osteosarcoma / Q000235:genetics / Q000378:metabolism / Q000473:pathology; D060066:Protein Interaction Maps / Q000235:genetics*; D059467:Transcriptome / Q000235:genetics*
chemical_list: D014408:Biomarkers, Tumor
keywords: Biomarkers; Ego-network; Metastasis; Osteosarcoma