Article(id=1208795424924758724, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1208795418612339683, articleNumber=null, orderNo=null, doi=10.11855/j.issn.0577-7402.2021.10.04, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1611504000000, receivedDateStr=2021-01-25, revisedDate=1621180800000, revisedDateStr=2021-05-17, acceptedDate=null, acceptedDateStr=null, onlineDate=1766128887635, onlineDateStr=2025-12-19, pubDate=1635350400000, pubDateStr=2021-10-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1766128887635, onlineIssueDateStr=2025-12-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1766128887635, creator=13701087609, updateTime=1766128887635, updator=13701087609, issue=Issue{id=1208795418612339683, tenantId=1146029695717560320, journalId=1189873630562394117, year='2021', volume='46', issue='10', pageStart='955', pageEnd='1060', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1766128886129, creator=13701087609, updateTime=1766128956061, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1208795711982924071, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1208795418612339683, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1208795711982924072, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1208795418612339683, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=975, endPage=983, ext={EN=ArticleExt(id=1208795427307123430, articleId=1208795424924758724, tenantId=1146029695717560320, journalId=1189873630562394117, language=EN, title=Expression of GALNT2 in lung adenocarcinoma and its prognostic significance based on data mining, columnId=1190310109000602400, journalTitle=Medical Journal of Chinese People’s Liberation Army, columnName=Clinical Research, runingTitle=null, highlight=null, articleAbstract=
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 survival periods 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, RAB6A, RAB6B,DYNC1H1, DYNC1LI1, 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 tissues, has a high frequency of gene mutation, and may be related to poor prognosis of patients using data mining methods, thus providing a theoretical basis for further research on the role of GALNT2 in the occurrence and progression of LAC.
, correspAuthors=Zhao-Hui Sun, authorNote=null, correspAuthorsNote=
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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。
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Differential expression of GALNT2 in all major cancers (A) and lung adenocarcinomas (B) and their corresponding normal tissues in Oncomine database, figureFileSmall=gTpL1q3FpcuqaE85Pu9CPA==, figureFileBig=J51u3XMeVYdKN8F7CiS8+g==, tableContent=null), ArticleFig(id=1208795436341653558, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208795424924758724, language=CN, label=图1, caption=
Oncomine数据库中GALNT2基因在所有主要肿瘤(A)及肺腺癌(B)中与相应正常组织的差异表达情况红色方格示mRNA表达水平高于正常组织均值,蓝色方格示mRNA水平低于正常组织均值,方格颜色深浅由分析的基因秩百分位数决定,颜色越深,百分位数越小,即差异倍数越大。
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Differential expression of GALNT2 in lung adenocarcinoma and corresponding normal tissues in Oncomine database, figureFileSmall=7fOak/nXPhX4fygJg/d9NQ==, figureFileBig=EbdkU215082IK0TqCpOdFw==, tableContent=null), ArticleFig(id=1208795436706558025, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208795424924758724, language=CN, label=图2, caption=
Oncomine数据库中GALNT2基因在肺腺癌与正常组织中的差异表达情况A-C. 分别为3个不同数据集中的GALNT2 mRNA水平;D. 癌基因组图谱(TCGA)数据库中的GALNT2拷贝数差异
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Expression levels of GALNT2 mRNA in TCGA database grouped according to different clinical characteristics (UALCAN), figureFileSmall=7t7NK4iDzGDAOwSkRqCOLg==, figureFileBig=d0Eg0p7Tt1kOiMN0OeuXAg==, tableContent=null), ArticleFig(id=1208795436891107409, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208795424924758724, language=CN, label=图3, caption=
TCGA数据库中根据不同临床特征分组的GALNT2 mRNA表达水平(UALCAN)A. GALNT2在正常组织与肺腺癌样品中的相对表达水平;B. 不同分期肺腺癌组织与正常组织中GALNT2的表达水平;C. GALNT2在不同淋巴结转移肺腺癌组织与正常组织的相对表达水平;D. GALNT2在正常组织与不同性别肺腺癌患者中的相对表达水平;E. GALNT2在正常组织与不同吸烟习惯肺腺癌患者中的相对表达水平;F. GALNT2在正常组织与不同TP53突变情况肺腺癌患者中的相对表达量。箱线图使用M(Q1,Q3)表示,上下边缘为最大值与最小值。(1)P<0.001;(2)P<0.01;(3)P<0.05。
, figureFileSmall=7t7NK4iDzGDAOwSkRqCOLg==, figureFileBig=d0Eg0p7Tt1kOiMN0OeuXAg==, tableContent=null), ArticleFig(id=1208795436974993493, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208795424924758724, language=EN, label=Fig. 4, caption=
Expression levels of GALNT2 protein in CPTAC database grouped according to different clinical characteristics (UALCAN), figureFileSmall=KSjQfsEekUA7sRM85oTh5g==, figureFileBig=fBcv+FyNh2gwweDDv8PdqQ==, tableContent=null), ArticleFig(id=1208795437050490970, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208795424924758724, language=CN, label=图4, caption=
CPTAC数据库中根据不同临床特征分组的GALNT2 蛋白表达水平(UALCAN)A. GALNT2在正常组织与肺腺癌样本中的蛋白表达水平;B. 不同分期肺腺癌组织与正常组织中GALNT2的蛋白表达水平;C. GALNT2在不同肿瘤分级肺腺癌患者与正常组织中的蛋白表达水平;D. GALNT2在正常组织与不同性别肺腺癌患者中的蛋白表达水平;(1)P<0.001。
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Relationship between GALNT2 expression status and the prognosis of lung adenocarcinoma (KM-plotter), figureFileSmall=Rv+eOxT/YjzgO0ENFdsMAw==, figureFileBig=w7NMAX08kFjqk5nj+80Vfg==, tableContent=null), ArticleFig(id=1208795437239234660, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208795424924758724, language=CN, label=图5, caption=
GALNT2表达水平与肺腺癌患者预后的关系(KM-plotter)A. 总生存率;B. 首次进展时间
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Relationship between GALNT2 gene alteration and the prognosis in lung adenocarcinoma (cBioportal), figureFileSmall=5gwsaORj8CaadY/6WLZE+Q==, figureFileBig=kwVndo/NTMXbJraYx9ujeg==, tableContent=null), ArticleFig(id=1208795437394423918, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208795424924758724, language=CN, label=图6, caption=
肺腺癌中GALNT2基因变异与预后的关系(cBioportal)A. 肺腺癌GALNT2基因在TCGA数据库中的变异情况(不同类型的遗传改变以不同的颜色突出显示);B. GALNT2基因突变位点示意图;C. GALNT2基因变异对总生存时间的影响;D. TCGA数据库中GALNT2表达量对总生存时间的影响
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The protein-protein interaction network of GALNT2 in lung adenocarcinoma (String), figureFileSmall=068cwsf28c4E2juv88+KAQ==, figureFileBig=9R7JOM+/sK/IOJ/6PLrDvQ==, tableContent=null), ArticleFig(id=1208795438635937911, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208795424924758724, language=CN, label=图7, caption=
GALNT2在肺腺癌中的蛋白质-蛋白质相互作用网络(String), figureFileSmall=068cwsf28c4E2juv88+KAQ==, figureFileBig=9R7JOM+/sK/IOJ/6PLrDvQ==, tableContent=null)], attaches=null, journal=Journal(id=1146441329971666965, delFlag=0, nameCn=解放军医学杂志, nameEn=Medical Journal of Chinese People’s Liberation Army, nameHistory1=null, nameHistory2=null, issn=0577-7402, eissn=null, cn=11-1056/R, coden=null, periodic=0, language=CN, oaType=是, ccby=CC BY-NC-ND, superviseOffice=null, ownerOffice=null, pubOffice=null, editorOffice=null, officeType=null, aims=null, clcCode=null, officeProv=null, officeCity=null, officeAddr=null, officeZip=null, officeEmail=null, officePhone=null, editDirector=null, officeDirector=null, officeDirectorPhone=null, officeStaffNum=null, officeEmpNum=null, coverPicUrl=6srot5PcoYX30Oa4xeTmeg==, journalPrice=null, startedYear=null, abbrevIsoEn=null, journalRemark=null, publicationField=null, createdTime=1751262512917, updatedTime=1761735725513, createdBy=18614031015, updatedBy=13701087609, 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