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Bioinformatics analysis of microarray data reveals epithelial-mesenchymal-transition in pediatric ependymoma.
Ma, Quanfeng; Shu, Chang; Wang, Jinhuan.
Afiliação
  • Ma Q; Tianjin Cerebral Vascular and Neural Degenerative Disease Key Laboratory, Tianjin Huanhuu Hospital, Tianjin Neurosurgery Institute, Tianjin, China.
Anticancer Drugs ; 32(4): 437-447, 2021 04 01.
Article em En | MEDLINE | ID: mdl-33595943
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Ependimoma Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Ependimoma Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article