Bioinformatics analysis of GNG4 and TIMP1 on diagnostic and prognosis significance in colon cancer
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    Abstract:

    Objective:To screen the gene that may be associated with diagnosis and prognosis of colon cancer through bioinformatics. Methods:The cRNA expression profiles data set of GSE37364 and GSE41328 were obtained from the expression omnbus(GEO) and the differentially expressed genes(DEGs) between colon adenocarcinoma tissues and normal colon tissues were screened. STRING online database,Cytoscape,GEPIA online tool and Metascape online software were used to perform the DEG-associated protein-pro-tein-interactions(PPI) network analysis,to screen the hub gene,to perform the prognosis analysis and to perform the pathway analysis,respectively. Results:A total of 18 hub genes were identified(THY1,BMP4,CD44,CXCL8,GNG4,COL1A2,IL1B,SERPINE1,IGF1,SPP1,COL1A1,HGF,POSTN,TIMP1,CXCL12,GCG,IL6 and PTGS2),among which high expression of GNG4 and TIMP1 was pos-sible to have association with poor survival and participate in the regulation of PI3K-AKT,HIF-1 and chemokine. Conclusion:Our study provides some potential target genes for the diagnosis and prognosis of colon cancer and gives a clue to molecular regulation mechanism.

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Liu Meng, Liu Weidong, Zhang Jie, Zhong Baiyun. Bioinformatics analysis of GNG4 and TIMP1 on diagnostic and prognosis significance in colon cancer[J]. Journal of Chongqing Medical University,2021,46(1):15-18

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  • Received:
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  • Online: February 24,2021
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