Identification of Differentially Expressed Genes under the Regulation of Transcription Factors in Osteosarcoma

Pathol Oncol Res. 2019 Jul;25(3):1091-1102. doi: 10.1007/s12253-018-0519-0. Epub 2018 Nov 8.

Abstract

The present study was to investigate and identify the differentially expressed genes (DEGs) in the transcriptional regulatory network of osteosarcoma (OS). The gene expression dataset from Gene Expression Omnibus (GEO) datasets was downloaded. DEGs were identified and their functional annotation was also conducted. In addition, differentially expressed transcription factors (TFs) and the regulatory genes were identified. The electronic validation was used to verify the expression of selected genes. The integrated analysis led to 932 DEGs. The results of functional annotation indicated that these DEGs significantly enriched in the p53 signaling pathway, Jak-STAT signaling pathway and Wnt signaling pathway. ZNF354C, NFIC, NFATC2, SP2, FOXO3, EGR1, ZEB1, RREB1, EGR2 and SRF were covered by most TFs. The expression levels of NFIC and EGR2 in electronic validation were compatible with our bio-informatics result. In conclusion, the deregulation of these genes may provide valuable information in understanding the underlying molecular mechanism in the OS.

Keywords: Differentialy expressed genes; Microarray dataset; Osteosarcoma; Transcription factors.

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Biomarkers, Tumor / metabolism
  • Bone Neoplasms / genetics*
  • Bone Neoplasms / pathology
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic*
  • Gene Regulatory Networks*
  • Humans
  • Osteosarcoma / genetics*
  • Osteosarcoma / pathology
  • Prognosis
  • Signal Transduction
  • Survival Rate
  • Transcription Factors / genetics
  • Transcription Factors / metabolism*

Substances

  • Biomarkers, Tumor
  • Transcription Factors