胶质瘤中真核生物翻译起始因子4A1的生物信息学分析

Bioinformatics analysis of EIF4A1 in glioma

目的探讨真核生物翻译起始因子4A1(EIF4A1)在胶质瘤中的表达特点及对肿瘤恶性进展的临床意义。方法基于癌症基因组图谱研究网络(TCGA)数据库中具有完整临床病理及随访资料的胶质瘤和正常脑组织病例615例,收集并提取病例的基因测序结果及其对应的临床病理资料,分析EIF4A1在不同组织中的表达特点及其与临床病理参数的关系。应用Kaplan-Meier生存分析EIF4A1表达水平与胶质瘤患者生存时间的关系。建立Cox回归模型,应用单因素及多因素分析EIF4A1表达状态是否是胶质瘤患者预后的独立危险因素。结果胶质瘤中EIF4A1的mRNA表达水平明显高于正常脑组织(P<0.0001),且表达水平与胶质瘤恶性程度显著相关(P<0.0001)。EIF4A1 mRNA表达状态与年龄、病理类型、WHO分级、KI-67表达状态及IDH突变情况密切相关(P<0.001)。Kaplan-Meier生存分析显示EIF4A1 mRNA表达与胶质瘤患者生存时间呈负相关(P<0.001)。Cox回归单因素分析显示,EIF4A1表达状态与患者的生存期明显相关(P=0.001),然而多因素分析显示,EIF4A1表达状态并不是胶质瘤患者生存预后的独立危险因素(P=0.973)。结论EIF4A1基因在人脑胶质瘤中相对高表达,且其表达状态是胶质瘤疾病进展和预后不良的潜在不良因素。

Objective To investigate the expression characteristics and clinical significance for the malignant progression of eukaryotic translation initiation factor 4A1(EIF4A1)in human glioma.Methods Based on 615 cases of glioma and normal brain tissue with complete clinicopathological and follow-up data from The Cancer Genome Atlas Research Network database database,gene sequencing results and corresponding clinicopathological data were collected and extracted to analyze the expression characteristics of EIF4A1 in different tissues and its relationship with clinicopathological parameters.Kaplan-Meier survival analysis was used to analyze the relationship between EIF4A1 expression level and survival time of patients with glioma.Cox regression model was established to analyze whether EIF4A1 expression status was an independent risk factor for prognosis of glioma patients by univariate and multivariate analysis.Results The mRNA expression level of EIF4A1 in glioma was significantly higher than that in normal brain tissue(P<0.0001),and the expression level was significantly correlated with the malignant degree of glioma(P<0.0001).EIF4A1 mRNA expression was closely correlated with age,pathological type,WHO grade,KI-67 expression and IDH mutation(P<0.001).Kaplan-Meier survival analysis showed that EIF4A1 mRNA expression was negatively correlated with the survival time of glioma patients,and the survival time of patients with low EIF4A1 mRNA expression was significantly longer than that of patients with high expression(P<0.001).Cox regression univariate analysis showed that EIF4A1 expression was significantly correlated with survival(P=0.001).However,multivariate analysis showed that EIF4A1 expression status was not an independent risk factor for survival(P=0.973).Conclusion Our study indicated that EIF4A1 gene was significantly highly expressed in human glioma,and its expression status was a potential adverse factor of disease progression and poor prognosis in glioma.