期刊文献+

基于数据挖掘分析GALNT2基因在肺腺癌中的表达及临床意义 被引量:3

Expression of GALNT2 in lung adenocarcinoma and its prognostic significance based on data mining
下载PDF
导出
摘要 目的基于数据挖掘探索N-乙酰氨基半乳糖转移酶2(GALNT2)基因在肺腺癌中的表达及临床意义。方法利用Oncomine数据库对GALNT2基因在肺腺癌中的表达进行荟萃分析;利用UALCAN平台分析TCGA及CPTAC数据库中肺腺癌和正常组织中GALNT2基因的表达情况及其与临床特征的关系;采用KM-plotter网站对肺腺癌中GALNT2表达量与预后的关系进行分析;利用cBioportal在线分析工具分析GALNT2基因在肺腺癌中的突变情况;使用String数据库构建相关蛋白网络并进行功能富集分析。结果 Oncomine数据库荟萃分析结果显示,肺腺癌组织中GALNT2的mRNA表达及DNA拷贝数变异(CNV)明显高于正常组织(P<0.001)。UALCAN平台分析结果显示,肺腺癌患者肿瘤组织中GALNT2的mRNA及蛋白表达水平明显高于正常组织,但其表达水平与患者临床病理特征不相关。cBioportal在线分析工具结果显示,在503例肺腺癌样本中共有52例样本发生GALNT2基因变异,变异率约为10%。KM-plotter生存曲线分析结果显示,GALNT2高表达组及GALNT2变异组的总体生存期短于GALNT2低表达组及无变异组(P<0.001)。多因素Cox回归分析结果显示,GALNT2高表达是影响肺腺癌患者预后的独立危险因素(HR=1.48,P=0.01)。String数据库分析结果表明,GALNT1、RAB6A、RAB6B、DYNC1H1、DYNC1LI1、DCTNs、CAPZAs及多种黏蛋白与GALNT2具有明显的相互作用,主要参与的生物学过程有蛋白质丝氨酸苏氨酸O型糖基化、细胞器微管运输及白细胞介素-17信号通路。结论数据挖掘结果表明GALNT2在肺腺癌组织中呈高表达,具有较高的基因变异频率,且与患者预后不良相关。 Objective To explore the expression and clinical significance of GALNT2 protein in lung adenocarcinoma(LAC) based on data mining. Methods GALNT2 gene expression in LAC was analyzed using Oncomine database. UALCAN analysis platform was used to analyze the relationship between GALNT2 gene expression in The Cancer Genome Atlas(TCGA) and Clinical Proteomic Tumor Analysis Consortium(CPTAC) datasets and clinical features, and KM-plotter website was used to analyze the relationship between GALNT2 gene expression in LAC and prognosis. The mutations of GALNT2 gene in LAC from TCGA dataset were explored using cBioportal online analysis tools. The related protein networks were constructed for function enrichment analysis by using String database. Results The data in the Oncomine database showed that the mRNA expression and DNA copy number variation(CNV) of GALNT2 in LAC tissues were significantly higher than those in normal tissues(P<0.01). The transcription and protein level of GALNT2 in tumor tissues in LAC patients were significantly higher than that in marching tissues, but its expression level had no correlation with the clinical pathological characteristics of patients. A total of 52 samples of 503 LAC samples had GALNT2 gene mutation, and the mutation rate was about 10%. Survival curve analysis showed that the overall survivalperiods of GALNT2 high expression group and GALNT2 mutation group were shorter than those of GALNT2 low expression group and no mutation group(P<0.01). Multivariate Cox regression analysis showed that the high expression of GALNT2 was an independent risk factor of prognosis in LAC(HR=1.48, P=0.01). String database analysis revealed that GALNT1, RAB6 A, RAB6 B, DYNC1 H1, DYNC1 LI1, DCTNs, CAPZAs and mucins had obvious interactions with GALNT2, and these proteins were mainly involved in minus-end-directed organelle transport along microtubule, protein O-linked glycosylation via serine/threonine, O-glycan processing and IL-17 signaling pathway. Conclusions GALNT2 can be highly expressed in LAC tiss
作者 陈凯锐 童华生 周泉 孙朝晖 Chen Kai-Rui;Tong Hua-Sheng;Zhou Quan;Sun Zhao-Hui(Department of Clinical Laboratory,General Hospital of Southern Theatre Command of Chinese PLA,Guangzhou 510010,China;Department of Critical Care Medicine,General Hospital of Southern Theatre Command of Chinese PLA,Guangzhou 510010,China)
出处 《解放军医学杂志》 CAS CSCD 北大核心 2021年第10期975-983,共9页 Medical Journal of Chinese People's Liberation Army
基金 国家自然科学基金(31901035) 广东省自然科学基金(2020A1515010951) 广州市科技计划项目(202102021265)。
关键词 肺腺癌 基因 GALNT2 数据挖掘 预后 lung adenocarcinoma gene GALNT2 data mining prognosis
  • 相关文献

参考文献4

二级参考文献14

共引文献75

同被引文献12

引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部