Expression of ANLN in Non-Small Cell Lung Cancer Based on Database and the Construction of Prognostic Model
10.11969/j.issn.1673-548X.2025.06.017
- VernacularTitle:基于数据库分析ANLN在非小细胞肺癌中的表达及其相关预后模型的构建
- Author:
Honghua MAI
1
;
Yanrong HAO
;
Xiangyang NONG
Author Information
1. 541000 桂林医科大学研究生院;530021 南宁,广西壮族自治区人民医院肿瘤内科一区
- Publication Type:Journal Article
- Keywords:
Non-small cell lung cancer;
TCGA database;
ANLN;
Prognostic genes;
Prognostic model
- From:
Journal of Medical Research
2025;54(6):92-97
- CountryChina
- Language:Chinese
-
Abstract:
Objective The expression of Anillin actin binding protein(ANLN)in non-small cell lung cancer(NSCLC)was ana-lyzed,and an ANLN-related prognostic model was established to provide a reference for the prognosis and treatment of NSCLC.Methods The clinical data and mRNA expression data of NSCLC were obtained by the cancer genome atlas(TCGA),the relationship between ANLN expression level and the clinical characteristics of NSCLC was analyzed,the ANLN-associated genes were found by GeneMANIA,the prognosis model was constructed by univariate Cox and least absolute shrinkage and selection operator(LASSO)analysis,the model value was evaluated and the model was verified by receiver operation characteristic(ROC)curve,and the nomogram of clinical applica-tion was further constructed.Results There was a significant correlation between the high expression of ANLN in NSCLC and the clinical characteristics(gender,age,etc.)of NSCLC(P＜0.05),and 20genes with similar functions to ANLN were found by gene-gene inter-actions(GGI),and 5 prognostic genes(ANLN,SLC25A24,MTMR8,MTMR2,RTKN2)were obtained after further gene screening.In the prognosis model,the survival curve showed that the mortality rate of the high-risk group of the training and validation cohorts was higher than that of the low-risk group(P＜0.05),and the ROC of the two cohorts at 1,2 and 3 years was greater than 0.6,indicating that the risk model had certain predictive performance.Conclusion The high expression of ANLN in NSCLC tissues and its significant correlation with clinical features have constructed a risk model that can be used to evaluate NSCLC patients,and provide a theoretical basis for subsequent research on NSCLC.
