Predictive value of ERS-related genes for the prognosis of colorectal cancer patients
10.3969/j.issn.1009-9905.2024.08.003
- VernacularTitle:ERS相关基因对结直肠癌患者预后的预测价值研究
- Author:
Ji-Chang LI
1
;
Shan-Wen CHEN
;
Peng-Yuan WANG
;
Yu-Cun LIU
Author Information
1. 北京大学第一医院 胃肠外科(北京 100034)
- Keywords:
Colorectal cancer;
Endoplasmic reticulum stress;
Prognostic model;
Immune re-sponse
- From:
Chinese Journal of Current Advances in General Surgery
2024;27(8):599-606
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct a prognostic risk prediction model for colorectal cancer(CRC)based on endoplasmic reticulum stress(ERS)-related genes,and to evaluate the value of the model in predicting the prognosis of CRC.Methods:The gene data and clinical information of CRC group were downloaded from the TCGA database,and a prognostic risk prediction model based on ERS-related genes was designed by LASSO regression and multivariate Cox regression analysis.The model was used to predict the prognostic risk and immune response of CRC pa-tients,and the ROC curve was used to evaluate the efficacy of the risk prediction model.Re-sults:A total of 255 ERS-related genes were found in the data of 455 CRC cases,and 11 prognosis-related genes,including HSPA1A,MAGEA3,ATP2A1,DNAJB2,DNAJC3,EIF2B5,FLOT1,GET4,HERPUD2,STC2 and TMUB1,were screened by multivariate Cox regression,and a prognostic risk prediction model was constructed,with risk score=0.151 × HSPA1A+0.240 × MAGEA3+1.715 × ATP2A1+1.162 × DNAJB2-0.563 × DNAJC3+1.127 × EIF2B5+0.653 × FLOT1-1.580 × GET4+1.684 × HERPUD2+0.260 × STC2+0.710 × TMUB1.Higher risk scores were associ-ated with worse prognosis,immune response,drug sensitivity in patients and the lower the TMB score.Compared to traditional TNM staging,the area under the ROC curve(AUC=0.78)and C in-dex of the prognostic risk prediction model were higher.Conclusion:The prognostic risk predic-tion model of ERS-related genes has a good predictive effect on the prognosis of CRCand pro-vides guidance for the application of immunotherapy.
