The expression of GSTM5 in prostate cancer and its potential mechanism for the progress of prostate cancer
- VernacularTitle:GSTM5在前列腺癌中的表达及其对前列腺癌进展的潜在机制
- Author:
Ying ZHANG
1
;
Na SUN
1
;
Yashou GUO
2
;
Chuandao SHI
1
;
Yixiao LIU
1
Author Information
- Publication Type:Journal Article
- Keywords: GSTM5; prostate cancer; key gene; bioinformatics
- From: Journal of Xi'an Jiaotong University(Medical Sciences) 2023;44(1):100-106
- CountryChina
- Language:Chinese
- Abstract: 【Objective】 To explore the differentially expressed genes in normal prostate and prostate cancer (PCa) tissues based on bioinformatics and screen out potential biomarkers for PCa, so as to provide scientific basis for later clinical medicine. 【Methods】 Three gene chip datasets of GSE55945, GSE46602 and GSE69223 were downloaded from GEO database, and differentially expressed genes (DEGs) were screened by the OmicStudio tools, and protein-protein interaction network (PPI) of DEGs was constructed by STRING. After Cytoscape was imported, CytoHubba plug-in was used to screen the top 30 genes in MCC score as key genes (Hub gene). DAVID was used for GO and KEGG enrichment analysis of Hub gene, and GraphPad Prism software was used to draw ROC curve. GEPIA database was used to verify the key genes, and survival analysis was further carried out. UALCAN was used to verify the correlation between the expression of key genes and Gleason grade of PCa. 【Results】 Three data sets (GSE55945, GSE46602 and GSE69223) obtained 428, 727 and 1285 differentially expressed genes, respectively. The Venn diagram shows that the three datasets contain 105 DEGs. Among 105 PPI networks corresponding to DEGs, the top 30 genes with MCC score were selected as Hub genes. The biological processes involved mainly include the positive regulation of protein kinase B signal, cell differentiation, positive regulation of transcription, negative regulation of transforming growth factor β receptor signaling pathway, positive regulation of cell migration, etc. The pathways involved are adhesion plaque, estrogen signaling pathway, etc. ROC curve results showed that the diagnostic ability of 9 genes in 3 data sets was statistically significant, and 9 Hub genes were CAV1, KDR, CAV2, TGFBR1, SLC7A11, GSTM2, GSTM3, GSTM5 and MYO6. Nine Hub genes were verified by GEPIA website, among which CAV1, KDR, CAV2, TGFBR1, GSTM2, GSTM3 and GSTM5 showed low expression in PCa, while SLC7A11 and MYO6 showed high expression in PCa. Survival analysis suggested that high GSTM5 expression prolonged OS in PCa patients. UALCAN results showed that the expression of GSTM5 gene was significantly correlated with Gleason grade, and the expression of GSTM5 gene decreased with the increase of Gleason score. 【Conclusion】 Hub genes CAV1, KDR, CAV2, TGFBR1, GSTM2, GSTM3 and GSTM5 are low expression in PCa, while SLC7A11 and MYO6 are high expression in PCa. GSTM5 gene is related to the survival rate of PCa. The expression of GSTM5 decreased with the increase of Gleason score, which indicated that GSTM5 may be a potential biomarker for PCa.
