To investigate the effect of radiation therapy on differential expression of genes in tumor-associated fibroblasts and prognosis of patients.Methods: The tumor-associated fibroblast gene expression profile data chip GSE37318 after radiotherapy treatment was retrieved from the GEO database, and the differentially expressed genes were screened using the limma R software package; GO and KEGG pathway enrichment analysis was performed using the DAVID tool; Protein interaction networks was built by String and Cytoscape software and core genes were obtained; GEPIA was used for prognostic value analysis; Immunohistochemistry was used to detect the expression of the top 5 hub genes in tumor tissues of patients in the radiotherapy and non-radiotherapy groups.Results: 144 genes were up-regulated and 54 genes were down-regulated, which were mainly enriched in functional pathways such as cell stress, DNA damage, cell cycle, aging, apoptosis, oxidative stress, and p53 signaling pathway. The protein interaction network was constructed and the top 20 hub genes were obtained. Prognostic analysis showed that: Expression of up-regulated PCNA and hub genes that were down-regulated after irradiation, such as MCM10, DLGAP5, FANCI, CENPA, CDC6, FBXO5, NCAPG, and DTL, has a negative correlation with the overall survival time of lung cancer patients (p <0.05). Immunohistochemical results showed that PCNA gene expression was up-regulated in patients with radiotherapy compared with patients without radiotherapy. The test results are consistent with the results of the biochemical analysis.Conclusion: Radiotherapy can induce differential expression of genes in tumor-associated fibroblasts, and these differentially expressed genes can be used as potential molecular markers for tumor radiotherapy effect and patient prognosis.