现代医药卫生2024，Vol.40Issue(10)：1621-1626,6.DOI:10.3969/j.issn.1009-5519.2024.10.001
基于TCGA数据库肺腺癌自噬相关基因预后模型的建立与验证
Establishment and validation of a prognostic model for autophagy related genes in lung adenocarcinoma based on TCGA database
摘要
Abstract
Objective To explore autophagy-related genes(ARGs)in lung adenocarcinoma and con-struct a prognostic model for lung adenocarcinoma based on ARGs.Methods RNA high-throughput tran-scriptome data of lung adenocarcinoma were obtained from The Cancer Genome Atlas(TCGA)database and HADb database to acquire ARGs.A prognostic model for lung adenocarcinoma was constructed and validated based on differentially expressed ARGs,followed by the construction of column line graphs and calibration curves to explore the clinical application value of the model.Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed on differentially expressed ARGs.Lasso regression analysis was conducted on differentially expressed ARGs with prognostic significance to construct the prognostic model for lung adenocarcinoma.Kaplan-Meier survival curves were plotted.Results A total of 31 differentially expressed ARGs were obtained,and 10 differentially expressed ARGs with prognostic signifi-cance were selected.Patients in the high-risk group were significantly associated with poorer overall survival,with statistical significance(P<0.05).T stage,N stage and risk score was an independent prognostic factor for patients with lung adenocarcinoma.The global consistency of the calibration curve column line graph was 0.710,indi-cating a high level of agreement between the model's predicted results and actual outcomes.Conclusion The risk model constructed based on differentially expressed ARGs can serve as a prognostic feature for patients with lung ade-nocarcinoma or provide a reference for individualized treatment for patients with lung adenocarcinoma.关键词
肺腺癌/自噬相关基因/预后模型/癌症基因组图谱数据库/计算生物学Key words
Lung adenocarcinoma/Autophagy-related genes/Prognosis model/The Cancer Ge-nome Atlas database/Computational biology分类
医药卫生引用本文复制引用
吴双丽,吴铁成,喻光,徐敬宣,李保健,邢龙..基于TCGA数据库肺腺癌自噬相关基因预后模型的建立与验证[J].现代医药卫生,2024,40(10):1621-1626,6.基金项目
山东省医药卫生科技发展计划项目(202203100054) （202203100054）
青岛西海岸新区2020年度科技惠民项目(2020-44). （2020-44）
