胃癌（GC）中谷氨酰胺代谢的重编程可以显着影响肿瘤免疫微环境和免疫治疗。本研究探讨谷氨酰胺代谢在胃癌微环境和预后中的作用。我们从TCGA数据库中获取了患者的基因表达数据和临床信息。根据一致性聚类，将患者分为两种代谢亚型。使用 Lasso-Cox 开发了包含三个谷氨酰胺代谢相关基因 (GMRG) 的预后风险模型。它得到了 GEO 验证队列的验证。此外，还使用 ​​ESTIMATE、CIBERSORT 和 ssGSEA 评估了高风险组和低风险组的免疫微环境组成。使用“oncoPredict”R 软件包进行药物敏感性分析。我们概述了两种亚型的独特临床特征并开发了预后风险模型。由于免疫检查点表达增加和免疫抑制细胞浸润，高危人群预后较差。我们的分析包括 Cox 风险回归、ROC 曲线和列线图，证明该风险模型是一个独立的预后因素。高风险组的 TIDE 评分高于低风险组。此外，高危人群对化疗药物治疗反应不佳。这项研究表明，谷氨酰胺代谢建模是胃癌预后和免疫治疗疗效的良好预测因子。因此，我们可以更好地了解谷氨酰胺代谢在癌症发展中的作用，并利用这些见解来开发更有针对性和更有效的治疗方法。版权所有© Bentham Science Publishers；如有任何疑问，请发送电子邮件至 epub@benthamscience.net。

Reprogramming of glutamine metabolism in Gastric Cancer (GC) can significantly affect the tumor immune microenvironment and immunotherapy. This study examines the role of glutamine metabolism in the microenvironment and prognosis of gastric cancer.We obtained gene expression data and clinical information of patients from the TCGA database. The patients were divided into two metabolic subtypes based on consistent clustering. A prognostic risk model containing three glutamine metabolism-related genes (GMRGs) was developed using Lasso-Cox. It was validated by the GEO validation cohort. Additionally, the immune microenvironment composition of the highand low-risk groups was assessed using ESTIMATE, CIBERSORT, and ssGSEA. Drug sensitivity analysis was conducted using the "oncoPredict" R package.We outlined the distinct clinical characteristics of two subtypes and developed a prognostic risk model. The high-risk group has a poorer prognosis due to an increased expression of immune checkpoints and immunosuppressive cellular infiltration. Our analysis, which included Cox risk regression, ROC curves, and nomogram, demonstrated that this risk model is an independent prognostic factor. The TIDE score was higher in the high-risk group than in the low-risk group. Additionally, the high-risk group did not respond well to chemotherapeutic drug treatment.This study shows that modelling glutamine metabolism is a good predictor of prognosis and immunotherapy efficacy in gastric cancer. Thus, we can better understand the role of glutamine metabolism in the development of cancer and use these insights to develop more targeted and effective treatments.Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.