昆明医科大学学报2025，Vol.46Issue(4)：29-35,7.DOI:10.12259/j.issn.2095-610X.S20250405
基于生物信息学识别与肺癌患者预后和免疫微环境相关的铜死亡基因
Bioinformatics-based Identification of Cuproptosis Genes Associated with Prognosis and Immune Microenvironment in Lung Cancer
摘要
Abstract
Objective To identify the cuproptosis genes associated with prognosis and immune microenvironment in lung cancer with the use of bioinformatics.Methods The lung cancer dataset used in this study was obtained from the TCGA database.The cuproptosis-related genes(CRGs)were obtained from the previously reported literature.The R software Deseq2 package was used to identify the differentially expressed genes(DEGs)in lung cancer.The intersection of DEGs and CRGs was taken to obtain the differentially expressed CRGs(DE-CRGs).COX analysis and R software rms package were used to identify DE-CRGs associated with the prognosis of lung cancer.Estimate and Cibersort algorithms were applied to identify the correlation of DE-CRGs with the immune microenvironment.Results Compared to the normal tissues,a total of 5,269 DEGs were present in lung cancer tissues in the TCGA database,and there were 11 shared genes between DEGs and CRGs.The 11 DE-CRGs mainly regulated the energy metabolism,carbon metabolism and amino acid metabolism.In the DE-CRGs,LIPT1 was an independent risk factor for lung cancer,and the column chart constructed with the clinical features(age,TNM staging,and residual tumor)predicted the survival of lung cancer patients in a manner similar to their actual outcomes.LIPT1 showed a positive correlation with the infiltration of M1 and M2 type macrophages,activated natural killer cells cells and CD8+T cells,and showed a significant negative correlation with M0 type macrophages,activated mast cells,neutrophils and Treg cells(P<0.05).Conclusion LIPT1 may serve as a prognostic and immune microenvironment-associated cuproptosis gene,which is a novel biomarker for lung cancer therapy.关键词
肺癌/生物信息学/铜死亡/预后/免疫微环境Key words
Lung cancer/Bioinformatics/Cuproptosis/Prognosis/Immune microenvironment分类
临床医学引用本文复制引用
李杨,江文,刘容,刘朝敏,徐龙玉,张文静..基于生物信息学识别与肺癌患者预后和免疫微环境相关的铜死亡基因[J].昆明医科大学学报,2025,46(4):29-35,7.基金项目
云南省兴滇英才支持计划-青年拔尖人才基金(YNWR-QNBJ-2019-147) （YNWR-QNBJ-2019-147）
云南省血液临床医学中心开放基金(2023YJZX-XY06) （2023YJZX-XY06）
