蚌埠医学院学报2024,Vol.49Issue(6) :745-749,753.DOI:10.13898/j.cnki.issn.1000-2200.2024.06.010

基于TCGA数据库角蛋白家族基因对肺腺癌病人预后的预测价值

Prognostic analysis of keratin family genes in patients with lung adenocarcinoma based on TCGA database

刘霞 朱行洲 李晓彤 芮艳 黄礼年
蚌埠医学院学报2024,Vol.49Issue(6) :745-749,753.DOI:10.13898/j.cnki.issn.1000-2200.2024.06.010

基于TCGA数据库角蛋白家族基因对肺腺癌病人预后的预测价值

Prognostic analysis of keratin family genes in patients with lung adenocarcinoma based on TCGA database

刘霞 1朱行洲 1李晓彤 1芮艳 1黄礼年1
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作者信息

  • 1. 蚌埠医科大学第一附属医院呼吸与危重症医学科,安徽蚌埠 233004
  • 折叠

摘要

目的:探讨角蛋白(KRT)家族基因对肺腺癌(LUAD)病人预后的预测价值.方法:RNA测序数据来自LUAD肿瘤和配对正常组织的癌症基因组图谱(TCGA)数据库.采用多变量COX比例风险回归分析评估KRT家族成员基因的预后价值.分析筛选变量以构建风险评分,时间相关ROC曲线评估预测结果.采用使用Nomogram评估个体化预后风险.结果:从差异表达基因中筛选出14个在LUAD肿瘤及癌旁组织中存在显著失衡的KRT基因.ROC曲线分析证实,该14个KRT基因可以作为LUAD诊断的潜在诊断标志物.6个KRT基因与肺癌预后相关,结果显示KRT8和KRT6A是影响LUAD预后的独立危险因素.结论:KRT8和KRT6A可作为LUAD的预后指标,KRT8和KRT6A高表达表明LUAD病人的预后较差.

Abstract

Objective:To explore the predictive value of keratin(KRT)family genes on the prognosis of lung adenocarcinoma(LUAD)patients.Methods:RNA sequencing data was obtained from the Cancer Genome Atlas(TCGA)database of LUAD tumors and paired normal tissues.Multivariate COX proportional hazards regression analysis was used to evaluate the prognostic value of KRT family member genes.Variables were analyzed and screened to construct a risk score,and the predictive results were evaluated using a time related ROC curve.Individualized prognostic risk was assessed using Nomogram.Results:Fourteen KRT genes with significant imbalance in LUAD tumors and adjacent tissues were screened out from differentially expressed genes.ROC curve analysis confirmed that these 14 KRT genes could serve as potential diagnostic markers for LUAD diagnosis.Six KRT genes were associated with the prognosis of lung cancer,and the results showed that KRT8 and KRT6A were independent risk factors affecting the prognosis of LUAD.Conclusions:KRT8 and KRT6A can serve as prognostic indicators for LUAD.The high expression of KRT8 and KRT6A indicates a poor prognosis in LUAD patients.

关键词

肺肿瘤/角蛋白/癌症基因组图谱

Key words

lung neoplasms/keratin/the Cancer Genome Atlas

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基金项目

安徽省自然科学基金资助项目(2008085QH414)

出版年

2024
蚌埠医学院学报
蚌埠医学院

蚌埠医学院学报

CSTPCD
影响因子:0.917
ISSN:1000-2200
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