Open Access

Identification of key genes and pathways associated with classical Hodgkin lymphoma by bioinformatics analysis

  • Authors:
    • Zhixing Kuang
    • Li Guo
    • Xun Li
  • View Affiliations

  • Published online on: August 3, 2017     https://doi.org/10.3892/mmr.2017.7158
  • Pages: 4685-4693
  • Copyright: © Kuang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The current study aimed to explore the mechanisms associated with classic Hodgkin lymphoma (cHL) to identify novel diagnostic and therapeutic targets. The GES12453 microarray dataset was downloaded from the Gene Expression Omnibus database; the differentially expressed genes (DEGs) between cHL samples and normal B cell samples by were identified using the limma package. Gene ontology (GO) and pathway enrichment analysis of DEGs gene were performed. Furthermore, construction and analysis of protein‑protein interaction (PPI) network was performed, and co‑expression modules of DEGs were produced. A total of 450 DEGs were identified, comprising 216 upregulated and 234 downregulated genes in cHL compared with normal B cell samples. The DEGs were enriched in biological processes associated with immune response. The upregulated genes were mainly associated with the pathway of transcriptional misregulation in cancer, while downregulated genes were associated with B cell receptor signaling. PPI network analysis demonstrated that IL6 had the highest connectivity degree. Interleukin‑6 (IL6) and signal transducer and activator of transcription 1 (STAT1) were demonstrated to be involved with the response to cytokine GO term in co‑expression module 1. Spleen tyrosine kinase (SYK), B‑cell linker protein (BLNK), CD79B, phospholipase C γ2 (PLCG2) were enriched in the B cell receptor signaling pathway in module 2. Matrix metallopeptidase 9 (MMP9), protein tyrosine phosphatase receptor type C had the highest connectivity degrees in module 3 and module 4, respectively. The results suggested that DEGs, including IL6, STAT1, MMP9, SYK, BLNK, PLCG2 and CD79B, and the pathways of B cell receptor signaling, Epstein‑Barr virus infection and transcriptional misregulation in cancer have strong potential to be useful as targets for diagnosis or treatment of cHL.

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October-2017
Volume 16 Issue 4

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Copy and paste a formatted citation
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Spandidos Publications style
Kuang Z, Guo L and Li X: Identification of key genes and pathways associated with classical Hodgkin lymphoma by bioinformatics analysis. Mol Med Rep 16: 4685-4693, 2017
APA
Kuang, Z., Guo, L., & Li, X. (2017). Identification of key genes and pathways associated with classical Hodgkin lymphoma by bioinformatics analysis. Molecular Medicine Reports, 16, 4685-4693. https://doi.org/10.3892/mmr.2017.7158
MLA
Kuang, Z., Guo, L., Li, X."Identification of key genes and pathways associated with classical Hodgkin lymphoma by bioinformatics analysis". Molecular Medicine Reports 16.4 (2017): 4685-4693.
Chicago
Kuang, Z., Guo, L., Li, X."Identification of key genes and pathways associated with classical Hodgkin lymphoma by bioinformatics analysis". Molecular Medicine Reports 16, no. 4 (2017): 4685-4693. https://doi.org/10.3892/mmr.2017.7158