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Identification of Key Genes and Pathways in Osteosarcoma by Bioinformatics Analysis.
Chen, Xiujin; Zhang, Nan; Zheng, Yuanyuan; Tong, Zhichao; Yang, Tuanmin; Kang, Xin; He, Yan; Dong, Liang.
Afiliação
  • Chen X; Department of Orthopaedic Oncology, Hong Hui Hospital of Xi'an Jiaotong University, Xi'an, 710054 Shaanxi Province, China.
  • Zhang N; Department of Pathology, Hong Hui Hospital of Xi'an Jiaotong University, Xi'an, 710054 Shaanxi Province, China.
  • Zheng Y; Geriatric Cardiovascular Department, The Second Affiliated Hospital of Xi'an Jiaotong University (Xibei Hospital), Xi'an, Shaanxi Province, China.
  • Tong Z; Department of Orthopaedic Oncology, Hong Hui Hospital of Xi'an Jiaotong University, Xi'an, 710054 Shaanxi Province, China.
  • Yang T; Department of Orthopaedic Oncology, Hong Hui Hospital of Xi'an Jiaotong University, Xi'an, 710054 Shaanxi Province, China.
  • Kang X; Department of Sports Medicine, Hong Hui Hospital of Xi'an Jiaotong University, Xi'an, 710054 Shaanxi Province, China.
  • He Y; Department of Magnetic Resonance Imaging, Hong Hui Hospital of Xi'an Jiaotong University, Xi'an, 710054 Shaanxi Province, China.
  • Dong L; Department of Cervical Spine Surgery, Hong Hui Hospital of Xi'an Jiaotong University, Xi'an, 710054 Shaanxi Province, China.
Comput Math Methods Med ; 2022: 7549894, 2022.
Article em En | MEDLINE | ID: mdl-35075370
PURPOSE: Osteosarcoma (OS) is the most primary bone malignant tumor in adolescents. Although the treatment of OS has made great progress, patients' prognosis remains poor due to tumor invasion and metastasis. MATERIALS AND METHODS: We downloaded the expression profile GSE12865 from the Gene Expression Omnibus database. We screened differential expressed genes (DEGs) by making use of the R limma software package. Based on Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis, we performed the function and pathway enrichment analyses. Then, we constructed a Protein-Protein Interaction network and screened hub genes through the Search Tool for the Retrieval of Interacting Genes. RESULT: By analyzing the gene expression profile GSE12865, we obtained 703 OS-related DEGs, which contained 166 genes upregulated and 537 genes downregulated. The DEGs were primarily abundant in ribosome, cell adhesion molecules, ubiquitin-ubiquitin ligase activity, and p53 signaling pathway. The hub genes of OS were KDR, CDH5, CD34, CDC42, RBX1, POLR2C, PPP2CA, and RPS2 through PPI network analysis. Finally, GSEA analysis showed that cell adhesion molecules, chemokine signal pathway, transendothelial migration, and focal adhesion were associated with OS. CONCLUSION: In this study, through analyzing microarray technology and bioinformatics analysis, the hub genes and pathways about OS are identified, and the new molecular mechanism of OS is clarified.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ósseas / Osteossarcoma / Redes Reguladoras de Genes Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Comput Math Methods Med Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ósseas / Osteossarcoma / Redes Reguladoras de Genes Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Comput Math Methods Med Ano de publicação: 2022 Tipo de documento: Article