Bioinformatics analysis of microarray data reveals epithelial-mesenchymal-transition in pediatric ependymoma

Anticancer Drugs. 2021 Apr 1;32(4):437-447. doi: 10.1097/CAD.0000000000001046.

Abstract

The objectives of this study were to explore the possible mechanisms of pediatric ependymoma using bioinformatics methods and provide potential genes and signaling pathways for pediatric ependymoma study. The data of GES74195 from Gene Expression Ominibus was analyzed by R language for pediatric ependymoma study. The differentially expressed genes were explored using gene set enrichment analysis, search tool for the retrieval of interacting genes, Cytoscape as well as other mainstream bioinformatics methods. Extracellular matrix-receptors interaction pathways and focal adhesion pathway were demonstrated as the key signaling pathway for pediatric ependymoma. The potential hub genes enriched in the two signaling pathways were regarded as final hub genes for this microarray analysis. The development and progression of pediatric ependymoma were associated with epithelial-mesenchymal-transition. Various potential hub genes and potential key signaling pathways in order to further explore their values in the diagnosis and treatment of this disease in the future.

MeSH terms

  • Brain Neoplasms / genetics*
  • Brain Neoplasms / metabolism
  • Brain Neoplasms / pathology
  • Child
  • Computational Biology
  • Ependymoma / genetics*
  • Ependymoma / metabolism
  • Ependymoma / pathology
  • Epithelial-Mesenchymal Transition / genetics
  • Gene Ontology
  • Humans
  • Microarray Analysis
  • Retrospective Studies
  • Signal Transduction
  • Spinal Cord Neoplasms / genetics
  • Spinal Cord Neoplasms / metabolism
  • Spinal Cord Neoplasms / pathology
  • Transcriptome