Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Department of Gastrointestinal Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Front Immunol. 2024 May 22;15:1370367. doi: 10.3389/fimmu.2024.1370367. eCollection 2024.
Because of the considerable tumor heterogeneity in gastric cancer (GC), only a limited group of patients experiences positive outcomes from immunotherapy. Herein, we aim to develop predictive models related to glycosylation genes to provide a more comprehensive understanding of immunotherapy for GC. RNA sequencing (RNA-seq) data and corresponding clinical outcomes were obtained from GEO and TCGA databases, and glycosylation-related genes were obtained from GlycoGene DataBase. We identified 48 differentially expressed glycosylation-related genes and established a prognostic model (seven prognosis genes including ) based on these glycosylation-related genes using the results from Cox regression analysis. We found that these glycosylation-related genes revealed a robust correlation with the abundance of Tumor Infiltrating Lymphocytes (TILs), especially the GLT8D2 which is associated with many TILs. Finally, we employed immunohistochemistry and Multiplex Immunohistochemical to discover that GLT8D2 serves as a valuable prognostic biomarker in GC and is closely associated with macrophage-related markers. Collectively, we established a prognostic model based on glycosylation-related genes to provide a more comprehensive understanding of prediction for GC prognosis, and identified that GLT8D2 is closely correlated with adverse prognosis and may underscore its role in regulating immune cell infiltration in GC patients.
由于胃癌（GC）存在相当大的肿瘤异质性，只有有限的一部分患者能从免疫治疗中获得阳性结果。在此，我们旨在开发与糖基化基因相关的预测模型，为 GC 的免疫治疗提供更全面的认识。从 GEO 和 TCGA 数据库中获取 RNA 测序（RNA-seq）数据和相应的临床结果，并从 GlycoGene DataBase 中获取糖基化相关基因。我们鉴定了 48 个差异表达的糖基化相关基因，并基于这些糖基化相关基因使用 Cox 回归分析的结果建立了一个预后模型（包括 7 个预后基因）。我们发现这些糖基化相关基因与肿瘤浸润淋巴细胞（TILs）的丰度之间存在稳健的相关性，特别是与多种 TILs 相关的 GLT8D2。最后，我们采用免疫组织化学和多重免疫组织化学发现 GLT8D2 是 GC 中一个有价值的预后生物标志物，与巨噬细胞相关标志物密切相关。总的来说，我们基于糖基化相关基因建立了一个预后模型，为 GC 预后的预测提供了更全面的认识，并确定 GLT8D2 与不良预后密切相关，可能强调其在调节 GC 患者免疫细胞浸润中的作用。
