| Objective:The purpose of this article is to screen for glycolysis-related genes that are associated with the prognosis of ovarian cancer,in order to preliminarily reveal the significance of differential genes in the biological behavior of ovarian cancer,and to identify new therapeutic targets for ovarian cancer.This will provide new ideas for improving the quality of life and clinical efficacy of ovarian cancer patients.Methods:In this study,we downloaded transcriptome and clinical data from both TCGA and GTEx databases for ovarian cancer and normal ovarian tissue samples.Glycolysis-related genes were obtained from the MSig DB database.By integrating these genes with clinical data from TCGA ovarian cancer patients,we performed a univariate cox analysis to identify glycolysis-related differentially expressed genes associated with patient prognosis in ovarian cancer.Then,we used relevant R language tools to analyze the expression of these differentially expressed genes in normal ovarian tissue and ovarian cancer.To investigate the association between this gene and the prognosis of ovarian cancer patients,we performed Kaplan-Meier plotter analysis to examine its expression in ovarian cancer tissues and its correlation with OS,PFS,and PPS.In addition,we conducted GO,KEGG,and GSEA to further explore the functional characteristics of this gene and its co-expressed genes.And association of differentially expressed gene with immune cell infiltration and immune checkpoint in ovarian cancer was analyzed by using related R language.Results:There were 326 glycolysis associated genes in ovarian cancer,of which the number of genes with differences was 41(P<0.05).By combining the differential genes with the survival data of ovarian cancer in TCGA database,two differential genes associated with glycolysis in ovarian cancer prognosis were obtained,which were high risk gene ADH1B(HR>1)and low risk gene CXCR4(HR<1).To further investigate the potential prognostic value of glycolysis associated genes in ovarian cancer,the high-risk gene ADH1 B was selected for bioinformatics analysis.ADH1 B was significantly low expressed in ovarian cancer tissues(P<0.05),and the expression of ADH1 B in advanced ovarian cancer tissues was higher than that in early ovarian cancer tissues(P<0.05).Kaplan-Meier Plotter curve analysis showed that the high expression of ADH1 B gene was significantly associated with poor prognosis of OS,PFS and PPS in ovarian cancer patients(P<0.001).Based on TCGA database analysis,ADH1 B co-expressed gene clusters were enriched in several cancer-associated pathways,such as cancer cell motility,cell differentiation,energy metabolism.GSEA functional genes are concentrated in such as cilium movement,external encapsulating structure organization,microtubule based movement.And GSEA pathway genes are concentrated in cytokine-cytokine receptor interaction,ECM-receptor-interaction,focal adhesion,etc.The expression of ADH1 B is related to tumor microenvironment.The difference of ADH1 B expression between B cells naive and B cells memory was analyzed by CIBERSORT method(P<0.05).And in the correlation analysis between ADH1 B and immune cells,monocytes,B cells naive,T cells CD8,mast cells resting were positively regulated with ADH1 B expression,while B cells memory,macrophages M0,mast cells activated were negatively correlated.ADH1 B was significantly correlated with 20 common immune checkpoints(such as CTLA4,CD86,TNFSF4,etc.).Conclusions:The gene ADH1 B related to glucose metabolism,are associated with the prognosis of ovarian cancer patients.Studies have found that the high-risk gene ADH1 B is expressed at lower levels in ovarian cancer than in normal ovarian tissue,but is expressed at higher levels in malignant and late-stage ovarian cancer compared to those with lower malignancy.The particularity of this result may be related to hypoxia in the tumor microenvironment.Further research has shown that high expression of this gene in ovarian cancer tissue is associated with poor patient prognosis,tumor metastasis pathways,and tumor immune cell infiltration.These results suggest that ADH1 B may play an important role in ovarian cancer cell motility,differentiation,energy metabolism,and immune function regulation,indicating that ADH1 B has the potential to become a biomarker for targeted therapy and improving the prognosis of ovarian cancer patients. |
