| Objective:Bioinformatics was used to analyze the prognostic influence of Galectin1(Gal-1)on Ovarian Cancer(OC)patients,as well as to explore the developmental biological function and related mechanisms of Gal-1 in OC,providing evidence for OC targeted therapy.Methods:Based on the GEO database,the 5 datasets met the inclusion criteria were downloaded,and the expression differential of Gal-1 between the OC group and control group was analyzed.Gal-1 protein expression and the methylation levels were confirmed using the Disease Meth database and the HPA database.The Kaplan-Meier survival curve was used to assess the impact of Gal-1 on overall survival(OS)and progression free survival(PFS)in patients with serous OC.From the TCGA(The Cancer Genome Atlas)public database,Gal-1 expression and clinicopathological characteristics of OC patients were obtained.Integration analysis screened out the differentially expressed genes(DEGs)between the high expression group and the low expression group of Gal-1,and performed their functional annotation and pathway enrichment.The candidate genes were verified by GEO and Disease Meth databases and their prognostic value in patients with serous OC was analyzed by Kaplan-Meier survival.GSEA explores the biological function and signaling pathway of Gal-1 in OC.The correlation between Gal-1 tumor immune infiltration level and immune cell markers was evaluated by TIMER database.Results:1.Gal-1 m RNA was highly expressed in OC tissue,was hypomethylated,and stained moderately.The high expression of Gal-1 m RNA in OC patients revealed statistically significant differences in tumor stage,lymphatic metastasis,and surgical residual lesions.Kaplan-Meier survival analysis showed that Gal-1 m RNA expression was negatively correlated with OS and PFS in serous OC.2.208 DEGs were filtered in this work,including 83 up-regulated genes and 125down-regulated genes.3.GO analysis showed that upregulated DEGs were mainly involved in biological processes such as extracellular matrix organization,collagen fiber organization and cell-matrix adhesion.KEGG analysis involved protein digestion and absorption,PI3K-Akt signaling pathway,ECM receptor interaction and focal adhesion pathway.These results were confirmed by the GSEA enriched gene set,also enriched in cytochemokines,leukocyte,lymphocyte,and macrophage migration,as well as for macrophage activation and T cell and lymphocyte mediated immunity.4.Cellular Adhesion Molecules(CAMs)-FN1,ITGA11,GREM1,COL1A1,COL3A1,POSTN were positively correlated with the expression of Gal-1.CAMs are highly expressed and hypomethylated in OC.Patients with serous OC with high CAMs expression had significantly shortened OS and PFS.5.Multiple immune cell infiltration levels,as well as the expression of tumorassociated macrophage,M2-type macrophage,and Treg surface markers,were positively connected with Gal-1.Conclusion:Gal-1 is highly expressed in ovarian cancer tissues,and its level of expression is correlated with advanced stage,lymphatic metastasis,and surgical residual lesions,which indicates that patients with this disease have a poor prognosis.Gal-1 may contribute to the development of ovarian cancer by regulating cell adhesion related mechanisms.Gal-1 may affect the prognosis of OC patients by controlling the immune infiltration process. |
PDF Full Text Request