Construction and Validation of A Prognostic Model of Lung Adenocarcinoma Based on m5C Modification-Related Genes
10.3971/j.issn.1000-8578.2025.24.0992
- VernacularTitle:基于m5C修饰相关基因的肺腺癌预后模型的建立与验证
- Author:
Fan YANG
1
;
Nongyan WANG
1
;
Meng FANG
1
;
Yingjiao ZHANG
1
;
Haiyan HU
1
;
Peng FANG
1
Author Information
1. 310012 杭州,联勤保障部队第九〇三医院(杭州医学院附属西湖医院)全科医学科
- Publication Type:Journal Article
- Keywords:
Lung adenocarcinoma;
Methylation modification;
m5C;
Prognosis model;
Risk score;
Nomo-gram
- From:
Cancer Research on Prevention and Treatment
2025;52(3):208-216
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct a prognostic model of lung adenocarcinoma(LUAD)based on m5C modification-related genes and to explore its clinical value.Methods Based on the LUAD data in TCGA,GSE30219,GSE31210,and GSE50081 cohorts,prognosis-related m5C modification-related genes were screened,and the prognostic model was constructed by using univariate Cox,Lasso,and multivariate Cox regression analyses.Kaplan-Meier curve,ROC curve,and Cox regression were used to observe the robustness and prognostic performance of the model.The correlation between the prognostic model and clinico-pathologic features was further explored.Results A prognostic model consisting of eight m5C modifi-cation-related genes,including CDK1,CDKN1A,NOP2,RRM2,TCL6,TLR8,TRDMT1,and YTHDF2,was constructed.Risk score was an independent risk factor for the prognosis of patients with LUAD,and it is combined with age,T stage,and N stage to constitute a nomogram which can accurately predict the prognosis of patients.The infiltration of macrophages and CD4+/CD8+T cells was significantly reduced in high-risk patients.The risk score in LUAD tissues was significantly higher than that in normal tissues and was positively correlated with T stage and N stage.The risk score of smoking and EGFR wild-type patients was higher than that of non-smoking and EGFR-mutant patients.Conclusion The prognostic model constructed based on m5C modification-related genes has shown good accuracy and stability in predicting the prognosis of patients with LUAD,and it is closely related to clinical features,driver gene mutations,and immune infiltration,which can provide a potential basis for the treatment and prognostic assessment of LUAD.
