Liu Sifan, Qi Lingyu, Dong Lu, Sun Wenjing, Liu Siying, Li Peng, Zhang Nan
Department of Gastroenterology, State Key Laboratory for Digestive Health, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesions of Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
School of Clinical Medicine, Shandong Second Medical University, Weifang, China.
Microbiol Spectr. 2025 Apr 9;13(5):e0283024. doi: 10.1128/spectrum.02830-24.
Gastric cancer (GC) prognosis is significantly influenced by intratumoral microbiomes, which modulate host-immune interactions. This study analyzed data from the The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases to identify immune genes associated with GC prognosis and conducted prognostic immune subtypes. GC patients were classified into two distinct prognostic immune phenotypes C1 and C2 based on the non-negative matrix factorization consensus clusters. Phenotype C2 exhibited a better prognosis and distinct immune characteristics, including enhanced presence of Th2 and Th17 cells and improved response to chemotherapy. In contrast, phenotype C1 showed higher expression levels of PDCD1LG2 and TLR9, which were critical immune factors involved in immune regulation. Both phenotypes were linked to immune genes influencing intratumoral microbiomes and GC immunotherapy responses. A prediction risk model was constructed using the LASSO regression analysis and showed great prognostic value for GC patients. The key genes were correlated with immune cells and suppressed the function of the host immune system. The intratumoral microbiomes were strongly associated with the hosts' immune infiltration and significantly interacted with host immune genes to influence GC outcomes. plays a significant role in predicting the prognosis of GC patients. This research underscores the pivotal role of intratumoral microbiomes in GC prognosis and supports the development of future personalized therapeutic approaches.IMPORTANCEIncreasing evidence confirms the presence of intratumoral microbiomes. However, the role of the intratumoral microbiomes in the progression of gastric cancer and their relationship with the immune microenvironment remain unclear. Our study classified gastric cancer patients into two immune prognostic subtypes, C1 and C2, using non-negative matrix factorization consensus clusters. The C2 subtype exhibited a better prognosis and more pronounced immune characteristics. Microbiome analyses revealed associations between both subtypes and immune genes that affect intratumoral microbiomes and their responses to immunotherapy. The intratumoral microbiomes were closely linked with host immune infiltration and significantly interacted with immune genes, which influence the prognosis of gastric cancer. Notably, showed a significant prognostic value in gastric cancer patients. Our findings highlight the critical role of the intratumoral microbiomes in affecting gastric cancer prognosis and its interaction with the immune microenvironment, supporting future personalized therapeutic approaches.
胃癌(GC)的预后受到肿瘤内微生物群的显著影响,肿瘤内微生物群可调节宿主与免疫的相互作用。本研究分析了来自癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)的数据,以确定与GC预后相关的免疫基因,并进行预后免疫亚型分析。基于非负矩阵分解一致性聚类,GC患者被分为两种不同的预后免疫表型C1和C2。表型C2预后较好,具有独特的免疫特征,包括Th2和Th17细胞的存在增加以及对化疗的反应改善。相比之下,表型C1显示PDCD1LG2和TLR9的表达水平较高,这是参与免疫调节的关键免疫因子。两种表型均与影响肿瘤内微生物群和GC免疫治疗反应的免疫基因相关。使用套索回归分析构建了一个预测风险模型,该模型对GC患者具有很大的预后价值。关键基因与免疫细胞相关,并抑制宿主免疫系统的功能。肿瘤内微生物群与宿主免疫浸润密切相关,并与宿主免疫基因显著相互作用,从而影响GC的预后。在预测GC患者的预后中起着重要作用。本研究强调了肿瘤内微生物群在GC预后中的关键作用,并支持未来个性化治疗方法的开发。重要性越来越多的证据证实了肿瘤内微生物群的存在。然而,肿瘤内微生物群在胃癌进展中的作用及其与免疫微环境的关系仍不清楚。我们的研究使用非负矩阵分解一致性聚类将胃癌患者分为两种免疫预后亚型,C1和C2。C2亚型预后较好,免疫特征更明显。微生物群分析揭示了两种亚型与影响肿瘤内微生物群及其对免疫治疗反应的免疫基因之间的关联。肿瘤内微生物群与宿主免疫浸润密切相关,并与免疫基因显著相互作用,影响胃癌的预后。值得注意的是,在胃癌患者中显示出显著的预后价值。我们的研究结果突出了肿瘤内微生物群在影响胃癌预后及其与免疫微环境相互作用中的关键作用,支持未来的个性化治疗方法。