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The Expression Of PTTG1 In Liver Cancer Was Analyzed Based On Data Mining And Its Effect On Biological Function Of HepG2 Cells

Posted on:2024-09-25Degree:MasterType:Thesis
Country:ChinaCandidate:X H WangFull Text:PDF
GTID:2544307148480534Subject:Surgery
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Objective:1.The expression of pituitary tumor transforming gene-1(PTTG1)in hepatocellular carcinoma(HCC)tissues and Hep G2 cells was investigated,and pituitary tumor transforming gene-1(PTTG1)was performed and the effects of PTTG1 on proliferation,migration and cell cycle of Hep G2 cells.2.To explore the possible molecular pathway of PTTG1 and evaluate its prognostic value in HCC patients.Methods:1.Download GSE57957,GSE76427 and GSE84402 data sets from GEO database,and select 39,52 and 14 pairs of HCC and corresponding normal liver tissue gene microarray expression matrix,respectively.Differentially expressed genes(DEGs)between HCC and normal liver tissues were analyzed by GEO2 R.After constructing the protein-protein interaction(PPI)network of DEGs using String online analysis tool.Key genes in HCC were selected by Cytoscape software and Venn diagram.2.R language was used to analyze the difference in the expression of key genes in HCC and normal liver tissues in the TCGA database,and to evaluate the effect of their high expression on the prognosis of HCC patients.The expression differences of key genes in HCC and normal liver tissues were retrieved from UALCAN and GEPIA databases,and their prognostic value in HCC patients was evaluated.The immunohistochemical staining of PTTG1 protein in HCC and normal liver tissues was observed using HPA database.UALCAN database was used to search the relationship between PTTG1 m RNA expression level and clinical stage and pathological grade of HCC patients.KEGG pathway enrichment analysis of key genes involved in the pathway and PTTG1 possible regulatory genes.3.Quantitative real-time polymerase chain reaction(RT-q PCR)was used to detect the relative expression levels of PTTG1 m RNA and ESPL1 m RNA in Hep G2 and LO2 cells.After transient transfection of small interfering RNA into Hep G2 cells to knock down PTTG1,RT-q PCR was used to verify the transfection efficiency and detect the expression changes of ESPL1 m RNA in Hep G2 cells.The effects of low expression of PTTG1 on proliferation,migration and cell distribution of Hep G2 cells were detected by CCK-8,plate clonal formation assay,scratch assay and cell cycle assay.Results:1.3 series numbers were downloaded and analyzed.The intersection of the selected series obtained 151 differentially expressed genes(DEGs),entially expressed 29 and 121 genes were up-regulated and down-regulated,respectively.Three key genes(PTTG1,PRC1 and CDC20)were selected by four Cytoscape algorithms and Venn diagram.Results from UALCAN,GEPIA and TCGA databases showed that PTTG1,CDC20 and PRC1 were highly expressed in HCC tissues compared with normal liver tissues,and the prognosis of patients with high expression was worse.The results of HPA database showed that the expression level of PTTG1 protein in HCC tissues was higher than that in normal liver tissues.UALCAN database results suggest that PTTG1 is highly expressed in HCC tissues compared with normal liver tissues,and is positively correlated with clinical stage and tumor grade of patients.2.KEGG pathway enrichment analysis showed that PTTG1 and CDC20 were mainly enriched in cell cycle pathway.PTTG1 and ESPL1 may have a regulatory relationship.3.Compared with LO2 cells,PTTG1 m RNA was highly expressed in Hep G2 cells,while ESPL1 m RNA was low.Compared with the si-NC group,the expression of PTTG1 m RNA was decreased and ESPL1 m RNA was increased in the si-PTTG1-157 group.4.After transfection,Hep G2 cell proliferation,colony formation and migration in si-PTTG1-157 group were decreased compared with si-NC group,and the proportion of cells in G1 phase was increased.Conclusion:1.The progression of hepatocellular carcinoma is related to the high expression of PTTG1.2.PTTG1 may affect the biological function of hepatoma cells by regulating the expression of ESPL1.
Keywords/Search Tags:PTTG1, Liver cancer, Bioinformatics analysis, Prognosis, Biological function
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