PARP9 transcript levels were analyzed with TCGA and GEO databases. The clinicopathological information of patients with glioma in the TCGA database and gene expression profiles were analyzed to determine the relationship between the expression of PARP9 and clinicopathologic characteristics. Kaplan-Meier survival analysis, univariate Cox regression analysis, and multivariate Cox regression analysis were used for survival analysis. Gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were used for bioinformatics analysis. Correlation analysis explored the relationships between PARP9, infiltrating inflammatory immune cells, and immune checkpoint molecules.
PARP9 is highly expressed in glioma, and high expression of PARP9 is associated with poor prognosis and advanced clinicopathological features. Bioinformatics analysis showed that some immune-related pathways were closely associated with high expression of PARP9. Correlation analysis indicated that PARP9 was closely related to inflammatory and immune responses, high immune cell infiltration, and immune checkpoint molecules.
PARP9 may serve as an unfavorable prognosis predictor for glioma and a potential immunotherapeutic target.
用TCGA和GEO数据库分析PARP9转录物水平。分析TCGA数据库中胶质瘤患者的临床病理信息和基因表达谱,以确定PARP9的表达与临床病理特征之间的关系。Kaplan-Meier生存分析,单变量Cox回归分析,采用多因素Cox回归分析进行生存分析。采用基因集富集分析(GSEA)和基因集变异分析(GSVA)进行生物信息学分析。相关性分析探讨PARP9与浸润炎症免疫细胞、和免疫检查点分子。
PARP9在神经胶质瘤中高表达,PARP9的高表达与不良预后和晚期临床病理特征有关。生物信息学分析显示,一些免疫相关通路与PARP9的高表达密切相关。相关性分析显示PARP9与炎症和免疫反应密切相关。高免疫细胞浸润,和免疫检查点分子。
PARP9可能作为神经胶质瘤的不良预后预测因子和潜在的免疫治疗靶点。