Yue Limin, Zhang Rongguang, Chen Shuaiyin, Duan Guangcai
Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.
Department of Epidemiology, College of Public Health, Hainan Medical University, Haikou, China.
Front Cell Dev Biol. 2022 Mar 31;10:710708. doi: 10.3389/fcell.2022.710708. eCollection 2022.
Gastric cancer (GC) has a high mortality rate. N6-methyladenosine (m6A) is involved in the development of GC. Age and gender are associated with GC incidence and survival. This study aimed to explore the risk score prediction model of prognosis in GC patients by age and gender combined with m6A modification genes. Data on m6A modification gene expression and clinical information downloaded from the Cancer Genome Atlas (TCGA) database were used to construct the risk score prediction model. Cox and least absolute shrinkage and selection operator (LASSO) regression were performed to identify clinical characteristics and m6A modification genes associated with prognosis. A risk score prediction model was established based on multivariate Cox regression analysis. The Gene Expression Omnibus (GEO) database was used to validate this model. Most of the m6A modification genes were upregulated in GC tumor tissues compared with that in normal tissues and were correlated with clinical characteristics including grade, stage status, and T status. The risk score prediction model was established based on age, gender, FTO, and RBM15. GC patients were divided into high- or low-risk groups based on the median risk score. Patients with a high risk score had poor prognosis. Multivariate Cox regression indicated that risk score was an independent prognostic factor for GC patients. The data from GSE84437 verified the predictive value of this model. The risk score prediction model based on age and gender combined with m6A modification genes FTO and RBM15 was an independent prognostic factor for GC patients.
胃癌（GC）死亡率很高。N6-甲基腺苷（m6A）参与胃癌的发生发展。年龄和性别与胃癌的发病率及生存率相关。本研究旨在通过年龄、性别结合m6A修饰基因探索胃癌患者预后的风险评分预测模型。从癌症基因组图谱（TCGA）数据库下载的m6A修饰基因表达数据和临床信息用于构建风险评分预测模型。进行Cox回归和最小绝对收缩选择算子（LASSO）回归以识别与预后相关的临床特征和m6A修饰基因。基于多变量Cox回归分析建立风险评分预测模型。利用基因表达综合数据库（GEO）对该模型进行验证。与正常组织相比，大多数m6A修饰基因在胃癌肿瘤组织中上调，且与包括分级、分期状态和T状态在内的临床特征相关。基于年龄、性别、FTO和RBM15建立风险评分预测模型。根据中位风险评分将胃癌患者分为高风险组或低风险组。高风险评分患者预后较差。多变量Cox回归表明风险评分是胃癌患者的独立预后因素。来自GSE84437的数据验证了该模型的预测价值。基于年龄、性别结合m6A修饰基因FTO和RBM15的风险评分预测模型是胃癌患者的独立预后因素。
