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Analyzing the disease module associated with osteosarcoma via a network‑ and pathway‑based approach

  • Authors:
    • Yi Zhang
    • Fei Yang
  • View Affiliations / Copyright

    Affiliations: Department of Orthopaedic Microsurgery, Central Hospital of Zibo, Zibo, Shandong 255000, P.R. China, Department of Orthopedic Joint Surgery, Central Hospital of Zibo, Zibo, Shandong 255000, P.R. China
    Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2584-2592
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    Published online on: July 23, 2018
       https://doi.org/10.3892/etm.2018.6506
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Abstract

Osteosarcoma is the most common type of primary malignant bone tumor observed in children and adolescents. The aim of the present study was to identify an osteosarcoma‑related gene module (OSM) by looking for a dense module following the integration of signals from genome‑wide association studies (GWAS) into the human protein‑protein interaction (PPI) network. A dataset of somatic mutations in osteosarcoma was obtained from the dbGaP database and their testing P‑values were incorporated into the PPI network from a recent study using the dmGWAS bioconductor package. An OSM containing 201 genes (OS genes) and 268 interactions, which were closely associated with immune response, intracellular signal transduction and cell activity was identified. Topological analysis of the OSM identified 11 genes, including APP, APPBP2, ATXN1, HSP90B1, IKZF1, KRTAP10‑1, PAK1, PDPK1, SMAD4, SUZ12 and TP53 as potential diagnostic biomarkers for osteosarcoma. The overall survival analysis of osteosarcoma for those 11 genes based on a dataset from the Cancer Genome Atlas, identified APP, HSP90B1, SUZ12 and IKZF1 as osteosarcoma survival‑related genes. The results of the present study should be helpful in understanding the diagnosis and treatment of osteosarcoma and its underlying mechanisms. In addition, the methodology used in the present study may be suitable for the analysis of other types of disease.
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Copy and paste a formatted citation
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Zhang Y and Yang F: Analyzing the disease module associated with osteosarcoma via a network‑ and pathway‑based approach. Exp Ther Med 16: 2584-2592, 2018.
APA
Zhang, Y., & Yang, F. (2018). Analyzing the disease module associated with osteosarcoma via a network‑ and pathway‑based approach. Experimental and Therapeutic Medicine, 16, 2584-2592. https://doi.org/10.3892/etm.2018.6506
MLA
Zhang, Y., Yang, F."Analyzing the disease module associated with osteosarcoma via a network‑ and pathway‑based approach". Experimental and Therapeutic Medicine 16.3 (2018): 2584-2592.
Chicago
Zhang, Y., Yang, F."Analyzing the disease module associated with osteosarcoma via a network‑ and pathway‑based approach". Experimental and Therapeutic Medicine 16, no. 3 (2018): 2584-2592. https://doi.org/10.3892/etm.2018.6506
Copy and paste a formatted citation
x
Spandidos Publications style
Zhang Y and Yang F: Analyzing the disease module associated with osteosarcoma via a network‑ and pathway‑based approach. Exp Ther Med 16: 2584-2592, 2018.
APA
Zhang, Y., & Yang, F. (2018). Analyzing the disease module associated with osteosarcoma via a network‑ and pathway‑based approach. Experimental and Therapeutic Medicine, 16, 2584-2592. https://doi.org/10.3892/etm.2018.6506
MLA
Zhang, Y., Yang, F."Analyzing the disease module associated with osteosarcoma via a network‑ and pathway‑based approach". Experimental and Therapeutic Medicine 16.3 (2018): 2584-2592.
Chicago
Zhang, Y., Yang, F."Analyzing the disease module associated with osteosarcoma via a network‑ and pathway‑based approach". Experimental and Therapeutic Medicine 16, no. 3 (2018): 2584-2592. https://doi.org/10.3892/etm.2018.6506
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