Analysis of expression and prognostic value of SGOL1 in lung adenocarcinoma based on bioinformatics
Objective To study expression and prognostic value of Shugoshin-1(SGOL1)in lung adenocarcinoma by bioinformatics method.Methods Expression profile data and clinical data of lung adenocarcinoma and normal tissues were downloaded from The Cancer Genome Atlas database,and expression difference and clinical correlation analysis of SGOL1 were performed.R package"pROC"was used to plot receiver operator characteristic(ROC)curves to evaluate accuracy of SGOL1 expression in predicting clinical diagnosis in lung adenocarcinoma patients.Effects of SGOL1 expression on prognosis of lung adenocarcinoma patients were evaluated by R package"survival","survminer"and univariate and multivariate Cox regression analysis.By searching Tumor Immune Single-Cell Hub and TIMER2.0 databases,expression distribution of SGOL1 in lung adenocarcinoma and its relationship with immune cell infiltration were analyzed,functional enrichment analysis of SGOL1 and its co-expression was performed by using LinkedOmics database.Search tool for the retrieval of interaction gene/proteins was used to construct a protein-protein interaction network for SGOL1.Results Compared with normal tissues,expression level of SGOL1 in tumor tissues was significantly upregulated(P<0.001).Compared with paracancer tissues,expression level of SGOL1 in tumor tissues was significantly upregulated(P<0.001).In different clinical and pathological stages of lung adenocarcinoma,compared with stage Ⅰ,expression levels of SGOL1 in stages Ⅱ,Ⅲ and Ⅳ were significantly higher(P<0.05).ROC curve showed that SGOL1 had a good diagnostic efficiency in lung adenocarcinom patients,with area under the curve of 0.959(95%CI:0.942-0.975).Overall survival,disease specific survival,disease-free survival and progression free interval of high expression group of SGOL1 were significantly shorter than those of low expression group of SGOL1(P<0.05).Univariate and multivariate Cox regression analysis showed that clinical stage(HR=1.629,P<0.001)and SGOL1 expression level(HR=1.447,P=0.002)were associated with poor prognosis in lung adenocarcinoma patients.It can be used as an independent risk factor for the prognosis of lung adenocarcinoma patients.Expression level of SGOL1 was negatively correlated with infiltration level of B cells,CD4+T cells and dendritic cells(P<0.05).Expression level of SGOL1 was positively correlated with infiltration level of macrophages,CD8+T cells and neutrophils(P<0.05).Enrichment analysis showed that SGOL1 may play role in mitosis,cell cycle,p53 signaling pathway and amino acid metabolism pathways.Analysis of protein-protein interaction network suggests that SGOL1 was closely related to multiple molecules such as CBX1,PPP2CA,PPP2R5C,CDCA8,ESPL1,PPP2R1A,BUB1,PPP2R5A,SGO2,CDC20,etc.Conclusion SGOL1 is highly expressed in lung adenocarcinoma tissues,and it is associated with poorer prognosis in lung adenocarcinoma patients.SGOL1 can be used as one of prognostic biomarkers for lung adenocarcinoma patients.
万方数据
维普
