[1]张 群,田秋思,唐铖铖,等.基于生物信息学检测NSUN2基因在胶质瘤中的表达及临床意义[J].医学信息,2022,35(04):1-5.[doi:10.3969/j.issn.1006-1959.2022.04.001]
 ZHANG Qun,TIAN Qiu-si,TANG Cheng-cheng,et al.Detection of NSUN2 Gene Expression in Glioma Based on Bioinformatics and its Clinical Significance[J].Medical Information,2022,35(04):1-5.[doi:10.3969/j.issn.1006-1959.2022.04.001]
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基于生物信息学检测NSUN2基因在胶质瘤中的表达及临床意义()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
35卷
期数:
2022年04期
页码:
1-5
栏目:
出版日期:
2022-02-15

文章信息/Info

Title:
Detection of NSUN2 Gene Expression in Glioma Based on Bioinformatics and its Clinical Significance
文章编号:
1006-1959(2022)04-0001-05
作者:
张 群1田秋思2唐铖铖1冯 光1路宏朝1
1.陕西理工大学生物科学与工程学院,陕西 汉中 723000;2.三二〇一医院神经外科,陕西 汉中 723000
Author(s):
ZHANG Qun1TIAN Qiu-si2TANG Cheng-cheng1FENG Guang1LU Hong-chao1
1.School of Biological Science and Engineering,Shaanxi University of Technology,Hanzhong 723000,Shaanxi,China;2.Department of Neurosurgery,3201 Hospital,Hanzhong 723000,Shaanxi,China
关键词:
胶质瘤NSUN2癌症基因组图谱肿瘤标志物
Keywords:
GliomaNSUN2Cancer genome mapTumor markers
分类号:
R737.11
DOI:
10.3969/j.issn.1006-1959.2022.04.001
文献标志码:
A
摘要:
目的 探究NSUN2基因在多形性胶质瘤(GBM)中的表达及临床意义。方法 从TCGA数据库下载正常脑组织和GBM组织测序数据及临床信息,采用R语言分析NSUN2基因的表达差异及其与临床病理特征的关系,利用单因素和多因素Cox回归模型分析GBM发生发展相关风险因素,CSEA软件分析NSUN2基因可能参与的信号通路,实时荧光定量PCR(qPCR)和免疫组织化学(IHC)对胶质瘤组织和癌旁组织进行mRNA和蛋白质表达水平验证分析。结果 GBM组织中NSUN2表达高于正常组织,差异有统计学意义(P<0.05);不同年龄、WHO分级、应答深度及IDH分型的GBM组织中NSUN2表达比较,差异有统计学意义(P<0.05);单因素和多因素Cox回归分析显示,NSUN2基因可作为GBM的独立预后因素。CSEA结果显示,NSUN2高表达与肿瘤相关通路相关;qPCR和IHC实验显示,与癌旁组织相比,胶质瘤组织中NSUN2基因的mRNA和蛋白质表达水平更高,差异有统计学意义(P<0.05)。结论 GBM组织中NSUN2基因高表达且和病理特征相关,可能通过参与蛋白质相关的代谢促进GBM的发展,可作为GBM的预后标志物。
Abstract:
Objective To explore the expression and clinical significance of NSUN2 gene in glioblastoma multiforme(GBM).Methods The sequencing data and clinical information of normal brain tissue and GBM tissue were downloaded from TCGA database. The expression difference of NSUN2 gene and its relationship with clinical pathological characteristics were analyzed by R language. The risk factors related to the occurrence and development of GBM were analyzed by univariate and multivariate Cox regression models. CSEA software was used to analyze the possible signaling pathways involved in NSUN2 gene. Real-time quantitative PCR (qPCR) and immunohistochemistry (IHC) were used to verify and analyze the mRNA and protein expression levels tissues and adjacent tissues..Results The expression of NSUN2 in GBM was higher than that in normal tissues, and the difference was statistically significant (P<0.05). The expression of NSUN2 in GBM tissues with different age, WHO grade, response depth and IDH classification was statistically significant (P<0.05). Univariate and multivariate Cox regression analysis showed that NSUN2 gene was an independent prognostic factor for GBM. CSEA results showed that the high expression of NSUN2 was related to tumor-related pathways; qPCR and IHC experiments showed that the mRNA and protein expression levels of NSUN2 gene in glioma tissues were higher than those in adjacent tissues, and the difference was statistically significant (P<0.05).Conclusion The high expression of NSUN2 gene in GBM tissue is related to pathological characteristics, which may promote the development of GBM by participating in protein-related metabolism and can be used as a prognostic marker of GBM.

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更新日期/Last Update: 1900-01-01