基于HNRNPA2B1及其调控miRNAs构建肺腺癌TP53突变人群的预后模型
A prognostic model of TP53-mutated lung adenocarcinoma based on HNRNPA2B1 and its target miRNAs
彭宝相 1王云 2徐从娥3
作者信息
- 1. 青岛大学基础医学院病原生物学系,山东青岛 266071;临沂市肿瘤医院
- 2. 青岛大学基础医学院病原生物学系,山东青岛 266071
- 3. 临沂市肿瘤医院
- 折叠
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(x2=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.
Abstract
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 ribonucleo-protein 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 valida-tion sets(7∶3).Potential HNRNPA2B1-regulated miRNAs were selectedfor modeling,generating a receiver operating characteris-tic(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(X2=9.443,P=0.306).Conclusion HNRNPA2B1 is positively as-sociated with TP53 mutation in lung adenocarcinoma.HNRNPA2B1-regulated miRNAs can be used to predict the prognosis of pa-tients with TP53-mutated lung adenocarcinoma.
关键词
肺腺癌/基因,p53/核不均一核糖核蛋白A-B组/微RNAs/预后模型Key words
adenocarcinoma of lung/genes,p53/heterogeneous-nuclear ribonucleoprotein group A-B/microRNAs/prog-nosis model引用本文复制引用
基金项目
山东省医药卫生科技发展计划(2017WS834)
出版年
2024
国家科技期刊平台
NSTL
万方数据