Checkpoint Kinase 1 (CHK1) Functions as Both a Diagnostic Marker and a Regulator of Epithelial-to-Mesenchymal Transition (EMT) in Triple-Negative Breast Cancer.
Hyo-Jin KimBo-Gyeong SeoEun-Chan SeoKwang-Min LeeCheol HwangboPublished in: Current issues in molecular biology (2022)
Triple-negative breast cancer (TNBC) is more difficult to treat and has a higher mortality rate than other subtypes. Although hormone receptor-targeted therapy is an effective treatment to increase survival rate in breast cancer patients, it is not suitable for TNBC patients. To address the issues, differentially expressed genes (DEGs) in TNBC patients from the Gene Expression Omnibus (GEO) database were analyzed. A total of 170 genes were obtained from three Genomic Spatial Events (GSEs) using the intersection of each GSE dataset and 61 DEGs were identified after validation with the gene enrichment analysis. We combined this with the degree scores from the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interaction (PPI) network, of which 7 genes were correlated with survival rate. Finally, a proteomics database revealed that only the CHK1 protein level was differently expressed in basal-like compared with other subtypes. We demonstrated that CHK1 expression was higher in TNBC cell lines compared with non-TNBC cell lines, and CHK1 promotes epithelial to mesenchymal transition (EMT) as well as migration and invasion ability. Our study provides new insight into the TNBC subnetwork that may be useful in the prognosis and treatment of TNBC patients.
Keyphrases
- end stage renal disease
- gene expression
- protein protein
- chronic kidney disease
- ejection fraction
- genome wide
- newly diagnosed
- peritoneal dialysis
- prognostic factors
- small molecule
- dna methylation
- dna damage response
- epithelial mesenchymal transition
- single cell
- type diabetes
- copy number
- cardiovascular disease
- coronary artery disease
- bioinformatics analysis
- tyrosine kinase
- patient reported
- binding protein
- dna repair
- data analysis