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Identification of key genes and pathways associated with resting mast cells in meningioma

Authors
  • Xie, Hui1
  • Yuan, Ce2
  • Ding, Xiao-hui1
  • Li, Jin-jiang3
  • Li, Zhao-yang4
  • Lu, Wei-cheng5
  • 1 College of Basic Medicine, Shenyang Medical College, Shenyang, Liaoning, China , Shenyang (China)
  • 2 University of Minnesota, Minneapolis, USA , Minneapolis (United States)
  • 3 General Hospital of Northern Theater Command, Shenyang, Liaoning, China , Shenyang (China)
  • 4 China Medical University, Shenyang, Liaoning, China , Shenyang (China)
  • 5 First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China , Shenyang (China)
Type
Published Article
Journal
BMC Cancer
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Nov 12, 2021
Volume
21
Issue
1
Identifiers
DOI: 10.1186/s12885-021-08931-0
Source
Springer Nature
Keywords
Disciplines
  • Research
License
Green

Abstract

BackgroundTo identify candidate key genes and pathways related to resting mast cells in meningioma and the underlying molecular mechanisms of meningioma.MethodsGene expression profiles of the used microarray datasets were obtained from the Gene Expression Omnibus (GEO) database. GO and KEGG pathway enrichments of DEGs were analyzed using the ClusterProfiler package in R. The protein-protein interaction network (PPI), and TF-miRNA- mRNA co-expression networks were constructed. Further, the difference in immune infiltration was investigated using the CIBERSORT algorithm.ResultsA total of 1499 DEGs were identified between tumor and normal controls. The analysis of the immune cell infiltration landscape showed that the probability of distribution of memory B cells, regulatory T cells (Tregs), and resting mast cells in tumor samples were significantly higher than those in the controls. Moreover, through WGCNA analysis, the module related to resting mast cells contained 158 DEGs, and KEGG pathway analysis revealed that the DEGs were dominant in the TNF signaling pathway, cytokine-cytokine receptor interaction, and IL-17 signaling pathway. Survival analysis of hub genes related to resting mast cells showed that the risk model was constructed based on 9 key genes. The TF-miRNA- mRNA co-regulation network, including MYC-miR-145-5p, TNFAIP3-miR-29c-3p, and TNFAIP3-hsa-miR-335-3p, were obtained. Further, 36 nodes and 197 interactions in the PPI network were identified.ConclusionThe results of this study revealed candidate key genes, miRNAs, and pathways related to resting mast cells involved in meningioma development, providing potential therapeutic targets for meningioma treatment.

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