Prognosis and immune correlation analysis of m1A/m5C/m6A/m7G regulated genes in gastric cancer
10.3969/j.issn.1006-5725.2024.09.009
- VernacularTitle:m1A/m5C/m6A/m7G调控基因预测胃癌预后及免疫关联性
- Author:
Xiaomei CHEN
1
;
Anqi WANG
;
Jizhen YANG
;
Miao YU
Author Information
1. 甘肃省人民医院国家胃肠肿瘤诊治重点实验室(兰州 730000);甘肃省人民医院临床研究与转化医学研究所(兰州 730000)
- Keywords:
m1A;
m5C;
m6A;
m7G;
gastric cancer;
prognosis;
immune infiltration
- From:
The Journal of Practical Medicine
2024;40(9):1230-1237
- CountryChina
- Language:Chinese
-
Abstract:
Objective This study aims to develop a prognostic risk prediction model for gastric cancer based on m1A/m5C/m6A/m7G regulated genes and to investigate the relationship between this model and immunology.Methods The Cancer Genome Atlas(TCGA)gastric cancer dataset was utilized to identify m1A/m5C/m6A/m7G regulated genes with significant expression differences.A prognostic risk score(RS)model was constructed using univariate Cox regression analysis and the LASSO algorithm.The RS model was validated using the Kaplan-Meier(K-M)statistic and cell lines for RT-qPCR biological validation.A nomogram model was created using univariate and multivariate Cox regression analyses.The CIBERSORT algorithm and ESTIMATE package were employed to conduct immune correlation analysis.Results A prognostic RS model based on eight methylation regulated genes was developed to classify patients with gastric cancer as high-risk or low-risk.These eight genes showed significant expression in gastric cancer cell lines(P＜0.05).The TCGA-gastric cancer training set and GSE62254-validation set showed a substantial connection(P＜0.001)between overall survival rate(OS)and grouping status.The nomogram survival models accurately predicted 1-year(C-index = 0.703),3-year(C-index = 0.729),and 5-year(C-index = 0.734)survival rates.Immune correlation analysis showed that compared to the low-risk group,the high-risk group had higher immune scores and higher expression of immune checkpoint-related genes(P＜0.05).Conclusion We created a reliable prognostic RS model based on m1A/m5C/m6A/m7G regulated genes that can predict gastric cancer prognosis and guide individualized immunotherapy decisions.
