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2017 ; 16
(1
): 523-532
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Investigating critical genes and gene interaction networks that mediate
cyclophosphamide sensitivity in chronic myelogenous leukemia
#MMPMID28560425
He X
; Deng Y
; Yue W
Mol Med Rep
2017[Jul]; 16
(1
): 523-532
PMID28560425
show ga
Drug resistance is an obstacle in the treatment of chronic myelogenous leukemia
(CML), and is a common reason for treatment failure or disease progression.
However, the underlying mechanisms of cyclophosphamide resistance remain poorly
defined. In the present study, microarray data concerning
cyclophosphamide?sensitive and ?resistant chronic myelogenous leukemia cell lines
were analyzed. A total of 258 differentially?expressed genes (DEGs) were
identified between these two groups, from which 139 DEGs were upregulated and 119
were downregulated. Several candidate genes that were associated with
cyclophosphamide resistance were also identified. These DEGs were subsequently
classified using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG)
enrichment pathway analysis. A total of 487 biological processes and 17 KEGG
pathways were revealed to be enriched. Furthermore, an interaction network was
established to identify the core genes that regulated cyclophosphamide
resistance. Signal transducer and activator of transcription 5A (STAT5A), FYN
proto?oncogene, Src family tyrosine kinase and spleen associated tyrosine kinase
were revealed to be the hub genes in multiple enriched biological processes and
signaling pathways, indicating that these were involved in mediating
cyclophosphamide sensitivity in CML cells. The expression levels of 5 DEGs were
also confirmed in two human CML cell lines (K?562 and KU812) by reverse
transcription?quantitative polymerase chain reaction. Furthermore, selective
knockdown of STAT5A and S100 calcium binding protein A4 (S100A4) recovered
cyclophosphamide sensitivity in K?562 cells, suggesting their involvement in drug
resistance. The present study identified several potential genes and pathways
contributing to cyclophosphamide resistance, and confirmed the involvement of
STAT5A and S100A4 in drug resistance. These results enable improved understanding
of the mechanisms underlying drug resistance in CML cells.
|*Epistasis, Genetic
[MESH]
|*Gene Expression Profiling
[MESH]
|*Gene Regulatory Networks
[MESH]
|Antineoplastic Agents/*pharmacology/therapeutic use
[MESH]
|Cell Line, Tumor
[MESH]
|Computational Biology/methods
[MESH]
|Cyclophosphamide/*pharmacology/therapeutic use
[MESH]