Open Access

Interaction network of immune‑associated genes affecting the prognosis of patients with glioblastoma

  • Authors:
    • Xiaohong Hou
    • Jialin Chen
    • Qiang Zhang
    • Yinchun Fan
    • Chengming Xiang
    • Guiyin Zhou
    • Fang Cao
    • Shengtao Yao
  • View Affiliations

  • Published online on: November 19, 2020     https://doi.org/10.3892/etm.2020.9493
  • Article Number: 61
  • Copyright: © Hou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Glioblastoma multiforme (GBM) is a common malignant tumor type of the nervous system. The purpose of the present study was to establish a regulatory network of immune‑associated genes affecting the prognosis of patients with GBM. The GSE4290, GSE50161 and GSE2223 datasets from the Gene Expression Omnibus database were screened to identify common differentially expressed genes (co‑DEGs). A functional enrichment analysis indicated that the co‑DEGs were mainly enriched in cell communication, regulation of enzyme activity, immune response, nervous system, cytokine signaling in immune system and the AKT signaling pathway. The co‑DEGs accumulated in immune response were then further investigated. For this, the intersection of those co‑DEGs and currently known immune‑regulatory genes was obtained and a differential expression analysis of these overlapping immune‑associated genes was performed. A risk model was established using immune‑regulatory genes that affect the prognosis of patients with GBM. The risk score was significantly associated with the prognosis of patients with GBM and had a significant independent predictive value. The risk model had high accuracy in predicting the prognosis of patients with GBM [area under the receiver operating characteristic curve (AUC)=0.764], which was higher than that of a previously reported model of prognosis‑associated biomarkers (AUC=0.667). Furthermore, an interaction network was constructed by using immune‑regulatory genes and transcription factors affecting the prognosis of patients with GBM and the University of California Santa Cruz database was used to perform a preliminary analysis of the transcription factors and immune genes of interest. The interaction network of immune‑regulatory genes constructed in the present study enhances the current understanding of mechanisms associated with poor prognosis of patients with GBM. The risk score model established in the present study may be used to evaluate the prognosis of patients with GBM.
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January-2021
Volume 21 Issue 1

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Copy and paste a formatted citation
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Spandidos Publications style
Hou X, Chen J, Zhang Q, Fan Y, Xiang C, Zhou G, Cao F and Yao S: Interaction network of immune‑associated genes affecting the prognosis of patients with glioblastoma. Exp Ther Med 21: 61, 2021.
APA
Hou, X., Chen, J., Zhang, Q., Fan, Y., Xiang, C., Zhou, G. ... Yao, S. (2021). Interaction network of immune‑associated genes affecting the prognosis of patients with glioblastoma. Experimental and Therapeutic Medicine, 21, 61. https://doi.org/10.3892/etm.2020.9493
MLA
Hou, X., Chen, J., Zhang, Q., Fan, Y., Xiang, C., Zhou, G., Cao, F., Yao, S."Interaction network of immune‑associated genes affecting the prognosis of patients with glioblastoma". Experimental and Therapeutic Medicine 21.1 (2021): 61.
Chicago
Hou, X., Chen, J., Zhang, Q., Fan, Y., Xiang, C., Zhou, G., Cao, F., Yao, S."Interaction network of immune‑associated genes affecting the prognosis of patients with glioblastoma". Experimental and Therapeutic Medicine 21, no. 1 (2021): 61. https://doi.org/10.3892/etm.2020.9493