Prognostic model and immune analysis of copper metabolism related genes in lung adenocarcinoma based on bioinformatics
10.3969/j.issn.1005-202X.2024.10.015
- VernacularTitle:基于生物信息学构建铜代谢相关基因肺腺癌预后模型及免疫分析
- Author:
Yuqing DONG
1
;
Haoran LIU
;
Jihong SUN
;
Hanwen ZHANG
;
Pingyu WANG
Author Information
1. 滨州医学院公共卫生学院,山东 烟台 264003
- Keywords:
lung adenocarcinoma;
copper metabolism related gene;
prognostic model;
immune microenvironment;
bioinformatics
- From:
Chinese Journal of Medical Physics
2024;41(10):1296-1306
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct a prognostic risk model for exploring the prognostic value of copper metabolism related genes(CMRGs)in lung adenocarcinoma(LUAD),thereby providing a reference for personalized treatment of LUAD patients.Methods The RNA-seq data of LUAD tissues and adjacent or normal lung tissues were downloaded from the Cancer Genome Atlas(TCGA)database and Genotype-tissue Expression(GTEx)database.The risk scoring model was established using univariate Cox regression analysis,Lasso analysis and multivariate Cox regression analysis,and the receiver operating characteristic(ROC)curves and nomogram were used to evaluate the model performance.The LUAD data in the Gene Expression Omnibus(GEO),the Tumor Immune Single-cell Hub(TISCH)single-cell sequencing analysis,and the Human Protein Atlas(HPA)immunohistochemistry analysis were used for external validation.Additionally,the immune microenvironment and drug sensitivity of high-and low-risk groups were analyzed.Results A risk model consisting of 6 genes was constructed.The overall survival rate of low-risk group was higher than that of high-risk group(P<0.001).ROC analysis showed that the area under curve of the risk model in training set reached 0.729,0.749 and 0.707 at 1-,3-and 5-year,respectively,and the C index of C-index curve was 0.721(95%CI:0.678-0.764).The immune microenvironment differed significantly between high-and low-risk groups(P<0.001),and the drug sensitivity analysis in high-and low-risk groups revealed that there was statistically significant for gemcitabine,gefitinib,crizotinib and savolitinib(P<0.001).Conclusion The risk model constructed with 6 CMRGs enable the prediction of the prognosis of LUAD patients.The immune microenvironment differs in high-and low-risk group,and high-risk patients are more sensitive to drugs such as gemcitabine,gefitinib,crizotinib and savolitinib,which provide a reference for the personalized treatment of LUAD patients.
