摘要
Abstract
Objective To explore the expression of GAS2L3 in liver cancer and its potential mechanism.Methods The expression difference of GAS2L3 in normal liver tissue and liver cancer tissue was detected by qRT-PCR,and verified by Cancer Genome Atlas(TCGA)database and integrated gene expression database(GEO).ROC curve was used to evaluate the accuracy of GAS2L3 in the diagnosis of liver cancer.Kaplan-Meier method,Univariate and multivariate COX regression analysis was performed to analyze the relationship between GAS2L3 expression and prognosis of liver cancer.GEO database was used to verify the survival relationship.A column graph was constructed using GAS2L3 and clinical variables.The correlation between GAS2L3 and immune infiltration was analyzed by using ESTIMATE,CIBERSORT and TIMER databases.Results After bioinformatics analysis and experimental verification,it was found that the expression of GAS2L3 in liver cancer tissues was higher than that of normal tissues,and its expression was closely related to the T-stage,clinical pathological stage and liver cancer grading of liver cancer.The AUC for the diagnosis of liver cancer by GAS2L3 was 0.827.At the same time,survival analysis showed that patients with high GAS2L3 had poor prognosis,and single-and multi-factor COX analysis showed that highly expressed GAS2L3 could serve as an independent biomarker for liver cancer.In addition,GO,KEGG and GSEA enrichment points suggested that GAS2L3 might be involved in nuclear division and meiotic cell cycle processes,mainly enriched in cell cycle,neuroactive ligand-receptor interactions and nicotine addiction pathways.GAS2L3 expression correlates with tumor purity and immune infiltration.Conclusion GAS2L3 is highly expressed in liver cancer,and GAS2L3 up-regulation in liver cancer is significantly associated with low survival rate and immune infiltration.GAS2L3 can be used as a potential biomarker and immunotherapy target for liver cancer prognosis.关键词
肝癌/GAS2L3/生物信息学/TCGA数据库/GEO数据库Key words
Liver cancer/GAS2L3/Bioinformatics/TCGA database/GEO database分类
临床医学
