Construction of a pancreatic cancer prognosis model based on immune-related genes and its application in immune microenvironment
10.3969/j.issn.1009-9905.2025.07.005
- VernacularTitle:基于免疫相关基因的胰腺癌预后模型构建及其在免疫微环境中的应用
- Author:
Yan-jie XU
1
;
Yang-dong WU
;
Qiang WANG
;
Cun-ying ZHOU
;
Xia TIAN
;
Xiao HU
Author Information
1. 日照市中心医院 肝胆胰脾外科(山东 日照 276800);青岛大学青岛医学院(山东 青岛 266000)
- Publication Type:Journal Article
- Keywords:
Immune infiltration;
Tumor microenvironment;
Pancreatic carcinoma;
Prognosis
- From:
Chinese Journal of Current Advances in General Surgery
2025;28(7):530-537
- CountryChina
- Language:Chinese
-
Abstract:
Objective:It is of great significance to analyze the expression characteristics of immune-related genes in pancreatic cancer and their relationship with prognosis,construct and verify a reliable prognostic model,and explore prognostic methods of pancreatic cancer from the perspective of immune microenvironment.Methods:GSEA enrich-ment analysis of differentially expressed genes in pancreatic cancer was performed to identify key immune-related pathways and genes.The genes involved in the immune pathway were screened through the STRING database and combined with univariate Cox regression and LASSO regression analysis.Three key genes,RIPK2,IRAK2 and CXCL11,were finally identified to construct the prognostic model.The accuracy of the model was evaluated using ROC curves and calibration curves,and verified in an independent verification set(GSE57495).At the same time,the expression pat-terns of key genes in the immune microenvironment were analyzed by single-cell RNA sequencing,and the expression levels of these genes were verified in pancreatic cancer cell lines by RT-qPCR.Results:The expressions of RIPK2,IRAK2 and CXCL11 in pancreatic cancer cell lines were higher than those in normal pancreatic cancer cells(P<0.05).The model based on these three genes divided the patients into a high-risk group(n=87)and a low-risk group(n=89),and the difference in survival time between the high-risk group and the low-risk group was statistically significant(P<0.001).Risk score was correlated with G stage,N stage and tumor residue(P<0.01).Single-cell analysis showed that the ex-pression of these genes was highest in tumor-associated macrophages(mean>0.5)and correlated with regulatory T cells and macrophage infiltration(P<0.05).Multivariate analysis showed that risk score was correlated with overall sur-vival after adjusting for clinical factors(P=0.0014).Conclusion:Based on three key immune-related genes(RIPK2,IRAK2 and CXCL11),we successfully constructed a model to accurately predict the prognosis of pancreatic cancer pa-tients,revealing the important role of these genes in the tumor immune microenvironment,and providing new insights and theoretical basis for pancreatic cancer prognosis assessment and immunotherapy research.
