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pmid:34285553
Bioinformatics Analysis of Neuroblastoma miRNA Based on GEO Data.
Jiandong Shi · Piaoyan Zhang · Huarong Su · Lingyi Cai · Liang Zhao · Haixia Zhou
Pharmacogenomics and personalized medicine · 2021 doi:10.2147/PGPM.S312171
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Experiment
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Data
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Analysis
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Execution
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Complete file
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The key genes were identified and verified in the TCGA database.\nRESULTS: A total of 34 differentially expressed miRNAs were screened out. Among them, 22 up-regulated miRNAs predicted 1163 target genes and 12 down-regulated miRNAs predicted 1474 target genes. Target genes were enriched and analyzed by KEGG to find the FOXO signal pathway, mTOR signal pathway, AMPK signal pathway, and other signal pathways. After GO analysis, axon formation, regulation of chemical synaptic transmitters, regulation of nerve synapses, regulation of cross-synaptic signals, and other physiological processes were assessed. A total of 16 key genes were obtained by PPI analysis, and the survival analysis of TP53 and ATM genes verified in the TCGA database showed statistical significance.\nCONCLUSION: The 34 differential miRNAs may be related to the occurrence and development of NB. TP53 and ATM are related to the prognosis of NB. 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