Wu Hailong, Zhou Yan, Wu Haiyang, Xu Lixia, Yan Yan, Tong Xiaoguang, Yan Hua
Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.
Department of Neurosurgery, Shijiazhuang Third Hospital, Hebei, China.
Front Genet. 2021 Sep 27;12:732376. doi: 10.3389/fgene.2021.732376. eCollection 2021.
Gliomas are the most common intracranial malignant neoplasms and have high recurrence and mortality rates. Recent literatures have reported that centromere protein N (CENPN) participates in tumor development. However, the clinicopathologic significance and biological functions of CENPN in glioma are still unclear. Clinicopathologic data and gene expression profiles of glioma cases downloaded from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases were utilized to determine the associations between the expression of CENPN and clinical features of glioma. Kaplan-Meier and ROC curves were plotted for prognostic analysis. Gene set enrichment analysis (GSEA) and single sample gene set enrichment analysis (ssGSEA) were applied to identify immune-related functions and pathways associated with CENPN' differential expression. experiments were conducted to investigate the impacts of CENPN on human glioma cells. Elevated CENPN expression was associated with unfavorable clinical variables of glioma patients, which was validated in clinical specimens obtained from our institution by immunohistochemical staining (IHC). The GSEA and ssGSEA results revealed that CENPN expression was strongly correlated with inflammatory activities, immune-related signaling pathways and the infiltration of immune cells. Cell experiments showed that CENPN deficiency impaired cell proliferation, migration and invasion ability and increased glioma apoptosis. CENPN could be a promising therapeutic target for glioma.
胶质瘤是最常见的颅内恶性肿瘤,具有高复发率和死亡率。最近的文献报道,着丝粒蛋白N(CENPN)参与肿瘤发展。然而,CENPN在胶质瘤中的临床病理意义和生物学功能仍不清楚。利用从癌症基因组图谱(TCGA)和中国胶质瘤基因组图谱(CGGA)数据库下载的胶质瘤病例的临床病理数据和基因表达谱,确定CENPN表达与胶质瘤临床特征之间的关联。绘制Kaplan-Meier曲线和ROC曲线进行预后分析。应用基因集富集分析(GSEA)和单样本基因集富集分析(ssGSEA)来识别与CENPN差异表达相关的免疫相关功能和途径。进行实验以研究CENPN对人胶质瘤细胞的影响。CENPN表达升高与胶质瘤患者不良临床变量相关,这在我们机构通过免疫组织化学染色(IHC)获得的临床标本中得到验证。GSEA和ssGSEA结果显示,CENPN表达与炎症活动、免疫相关信号通路和免疫细胞浸润密切相关。细胞实验表明,CENPN缺乏会损害细胞增殖、迁移和侵袭能力,并增加胶质瘤细胞凋亡。CENPN可能是胶质瘤一个有前景的治疗靶点。