Aims

The prognoses of patients with gastric cancer(GC) vary in different stages, which is mainly due to the great differences in tumor and tumor microenvironment. This study is aimed to explore the specific differences.

Main methods

Based on RNAseq-based expression data from The Cancer Genome Atlas database and GSE15459 and the latest biological process genelist, stage-related biological processes in gastric cancer were screened out. GSVA, LASSO-COX, univariate and multivariate Cox regression analysis, Kaplan-Meier survival analysis, and pearson correlation analysis were performed for prediction model construction, verification and functional annotation.

Key findings

The immune system process was enriched at advanced stages of gastric cancer. The tumor immune microenvironment-based prognostic risk score could be used to predict the overall survival and disease-free survival of patients with gastric cancer. The prognostic risk score was significantly associated with gastric cancer subtypes, inflammatory factors, and immune processes and a higher risk score indicated stronger tumor immunosuppression.

Significance

We found immune system processes were significantly elevated in advanced gastric cancer and established an immune-based prognostic predictive risk model for gastric cancer, which could reflect the degree of tumor immunosuppression and might be beneficial for clinical decision-making.

中文翻译：

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建立基于免疫微环境的胃癌预后预测模型。

目的

胃癌（GC）患者的预后在不同阶段有所不同，这主要是由于肿瘤和肿瘤微环境的巨大差异。本研究旨在探讨具体差异。

主要方法

基于来自癌症基因组图谱数据库和GSE15459的基于RNAseq的表达数据以及最新的生物学过程基因表，筛选出了胃癌中与阶段相关的生物学过程。进行了GSVA，LASSO-COX，单变量和多变量Cox回归分析，Kaplan-Meier生存分析和Pearson相关分析，以进行预测模型的构建，验证和功能注释。

主要发现

在胃癌的晚期，免疫系统过程得以丰富。基于肿瘤免疫微环境的预后风险评分可用于预测胃癌患者的总体生存期和无病生存期。预后风险评分与胃癌亚型，炎性因子和免疫过程显着相关，较高的风险评分指示更强的肿瘤免疫抑制作用。

意义

我们发现晚期胃癌的免疫系统过程显着升高，并建立了基于免疫的胃癌预后预测风险模型，该模型可以反映肿瘤免疫抑制的程度，可能对临床决策有益。