当涉及侵略性和预后时，免疫细胞在胃癌（GC）微环境中发挥重要作用。目前，尚没有确切的证据表明免疫状态分类可作为胃癌预后工具的可靠性。本研究旨在开发一个基于免疫状态分类的遗传标记，以分层胃癌危险风险。TCGA数据用于基因表达和临床特征分析。应用ssGSEA算法对胃癌队列进行分类。进行多变量和单变量Cox回归和Lasso回归，以确定哪些基因与胃癌预后相关。最终，我们利用免疫相关基因生成了一个6基因预后预测模型。进一步分析表明，预后预测模型与GC患者的预后密切相关。结合遗传标记和危险因素的刻度结果更好。风险评分和胃癌T分期之间的关系也与与特定免疫细胞亚群相关的多个免疫标记显著相关。根据这些结果，患者的结果和肿瘤免疫细胞浸润与风险评分相关。此外，免疫细胞为基础的遗传标记可有助于改善胃癌的风险分层。这些特征可指导免疫治疗和后续随访的临床决策。版权所有©2023冯江和马琪龙。

When it comes to aggressiveness and prognosis, immune cells play an important role in the microenvironment of gastric cancer (GC). Currently, there is no well-established evidence that immune status typing is reliable as a prognostic tool for gastric cancer. This study aimed to develop a genetic signature based on immune status typing for the stratification of gastric cancer risk. TCGA data were used for gene expression and clinical characteristics analysis. A ssGSEA algorithm was applied to type the gastric cancer cohorts. A multivariate and univariate Cox regression and a lasso regression were conducted to determine which genes are associated with gastric cancer prognosis. Finally, we were able to produce a 6-gene prognostic prediction model using immune-related genes. Further analysis revealed that the prognostic prediction model is closely related to the prognosis of patients with GC. Nomograms incorporating genetic signatures and risk factors produced better calibration results. The relationship between the risk score and gastric cancer T stage was also significantly correlated with multiple immune markers related to specific immune cell subsets. According to these results, patients' outcomes and tumor immune cell infiltration correlate with risk scores. In addition, immune cellular-based genetic signatures can contribute to improved risk stratification for gastric cancer. Clinical decisions regarding immunotherapy and followup can be guided by these features.Copyright © 2023 Feng Jiang and Qilong Ma.