Bioinformatics screening and prognostic value analysis of differentially expressed genes in lung adenocarcinoma
10.11904/j.issn.1002-3070.2025.03.009
- VernacularTitle:肺腺癌差异表达基因的生物信息学筛选及预后价值分析
- Author:
Lixin JIANG
1
;
Zhuo CHEN
Author Information
1. 哈尔滨医科大学附属肿瘤医院病案统计室(哈尔滨 150081)
- Publication Type:Journal Article
- Keywords:
Lung adenocarcinoma;
Key genes;
Bioinformatics;
Centrosome associated kinase 2;
Holliday junction recognition protein
- From:
Practical Oncology Journal
2025;(3):235-244
- CountryChina
- Language:Chinese
-
Abstract:
Objective The objective of this study was to identify prognostic molecular biomarkers in lung adenocarcinoma(LUAD)through bioinformatics methods.Methods The gene expression profile data of LUAD were obtained from the Cancer Ge-nome Atlas(TCGA)to analyze the distribution of tumor-infiltrating immune cells using the CIBERSORT algorithm.The Log-rank method was used to screen immune infiltrating cells associated related to overall survival(OS)in patients.The"limma"package was employed to identify differentially expressed genes(DEGs)in OS-related immune cells at high and low levels.The STRING method was used to construct a protein-protein interaction(PPI)network of DEGs.Based on the node scores of the MCC algorithm in the cyto-Hubba plugin,the top 30 genes were selected.The Kaplan-Meier survival curve and Cox proportional regression analysis were used to screen for genes related to LUAD patient OS,and gene expression was validated using the GEPIA2 database.Results The OS of LU-AD patients with high levels of monocytes and eosinophils was significantly higher than those of the low level patients(P<0.05).Based on the high and low level groups of immune infiltrating cells mentioned above,a total of 365 DEGs were screened,and 30 hub genes were identified through the constructed PPI network.Among them,NEK2 and HJURP were regarded as key genes affecting the OS of LUAD patients(P<0.05),which their levels in cancer tissues were higher than those in normal tissues(P<0.05).Conclusion NEK2 and HJURP are key immune infiltration related genes that affect the prognosis of LUAD patients and can serve as potential biomarkers for prognostic prediction of LUAD patients.
