Gene microarray Analysis of Glucocorticoid resistance-related genes in Acute Lymphoblastic Leukemia based on GEO

doi:10.12092/j.issn.1009-2501.2019.03.006

Abstract

Abstract:

AIM: To detect the differentially expressed genes associated with glucocoticoid resistance by microarray and to analyze the signal transduction pathways in acute lymphoblastic leukemia. METHODS: Downloading the gene chip data from the gene expression omnibus (GEO), R software was used to analyze the differentially expressed genes between glucocorticoid resistance samples and sensitive samples. The function of differential genes was determined by gene ontology (GO) and pathway analysis. Intergene interaction network were constructed to screen key genes. RESULTS: In total, 109 differential genes were screened out, of which 86 genes were up-regulated and 23 genes were down-regulated. GO enrichment analysis revealed that DEGs were mainly involved in biological processes of immune response, blood coagulation, regulation of cell proliferation and apoptosis, cell migration. Pathway analysis showed that DEGs were mostly enriched in Toll like receptor cascade, MAPK pathway, NF-κB-MAP pathway and cell apoptosis. The network analyses identified the hub genes such as FOS, NFKB1, MAP2K1, IRS1, CASP3. CONCLUSION: The glucocrticoid resistance-related ALL shows differentially expressed genes, we screen out the hub genes and signal pathways of glucocrticoid resistance.

Key words: acute lymphoblastic leukemia, glucocorticoid resistance, gene chip, gene function, signal pathway

CLC Number:

R733.71

ZHANG Danyang, DONG Xiaomin, ZHOU Xiaohuan, ZHANG Yue, ZHANG Juan, ZHOU Hebin. Gene microarray Analysis of Glucocorticoid resistance-related genes in Acute Lymphoblastic Leukemia based on GEO[J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2019, 24(3): 272-277.

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