检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:彭宝相 王云[1] 徐从娥 PENG Baoxiang;WANG Yun;XU Cong′e(Department of Pathogenic Biology,School of Basic Medicine,Qingdao University,Qingdao 266071,China)
机构地区:[1]青岛大学基础医学院病原生物学系,山东青岛266071 [2]临沂市肿瘤医院
出 处:《青岛大学学报(医学版)》2024年第2期227-232,共6页Journal of Qingdao University(Medical Sciences)
基 金:山东省医药卫生科技发展计划项目(2017WS834)。
摘 要:目的基于癌症基因组图谱(TCGA)数据库多组学数据构建肺腺癌TP53突变人群的预后模型,探讨核内不均一核糖核蛋白A2/B1(HNRNPA2B1)与肺腺癌TP53突变之间的相关性。方法通过生物信息学方法搜集TCGA和基因表达数据库(GEO)中的突变数据,分析TP53突变对肺腺癌病人HNRNPA2B1表达及预后的影响;将病人随机分为训练集和验证集(7∶3),筛选潜在的受HNRNPA2B1调控的miRNAs构建模型、绘制ROC曲线,并通过列线图可视化。结果HNRNPA2B1在TP53突变肺腺癌中显著高表达(P<0.001),且高表达病人预后不良(P=0.031)。筛选出9个受HNRNPA2B1调控且与预后相关的miRNAs构建预后模型,结果表明列线图对预后模型具有较好的区分度和准确度(χ^(2)=9.443,P=0.306)。结论HNRNPA2B1与肺腺癌TP53突变存在正相关,基于HNRNPA2B1调控的miRNAs可建立预测TP53突变肺腺癌病人预后的良好模型。Objective To construct a prognostic model of TP53-mutated lung adenocarcinoma based on multi-omics data from The Cancer Genome Atlas(TCGA)database,and to investigate the correlation between heterogeneous nuclear ribonucleoprotein A2/B1(HNRNPA2B1)and TP53-mutated lung adenocarcinoma.Methods We employed bioinformatics methods to collect the mutation data fromTCGA and the Gene Expression Omnibus to analyze the effects of TP53 mutation on the expression of HNRNPA2B1 and prognosis of patients with lung adenocarcinoma.The patients were randomly divided into training and validation sets(7∶3).Potential HNRNPA2B1-regulated miRNAs were selectedfor modeling,generating a receiver operating characteristic(ROC)curve,and creating a nomogram for visualization.Results HNRNPA2B1 was significantly over expressed in TP53-mutated lung adenocarcinoma(P<0.001),and was significantly associated with a poor prognosis(P=0.031).Nine miRNAs re-gulated by HNRNPA2B1 and associated with prognosis were includedin the prognostic model,and the constructed nomogram had good discrimination and accuracy for the prognostic model(χ^(2)=9.443,P=0.306).ConclusionHNRNPA2B1 is positively associated with TP53 mutation in lung adenocarcinoma.HNRNPA2B1-regulated miRNAs can be used to predict the prognosis of patients with TP53-mutated lung adenocarcinoma.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.7