Sun Wenhao, Jiang Zhiwei, Deng Zhengming
Department of General Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Sci Rep. 2025 Sep 15;15(1):32090. doi: 10.1038/s41598-025-13892-6.
The development and metastasis of gastric cancer are complex processes involving the TME (Tumor microenvironment) and the interactions between various cell types. Here, we investigated the molecular mechanisms and biological processes underlying gastric cancer and its metastasis using single cell RNA-sequencing (scRNA-seq) with the aim of identifying new targets and approaches for clinical treatment. R version 4.4.1 and the SeuratV5 package were used to process 20 scRNA-seq samples sourced from the GEO database. Highly variable genes were selected for GO (Gene Ontology), KEGG (Kyoto Encyclopedia of Genes and Genomes) and GSAV (Gene set variation analysis) enrichment analyses. CytoTRACE, CellChat, and Monocle3 analyses were conducted to investigate cell communication and pseudotemporal dynamics in the PM (Peritoneal Metastasis) and GC (Gastric Cancer) groups. Additionally, the prognostic significance of key genes was assessed by integrating data from the TCGA clinical database. A total of 2,626,594 peritoneal metastasis cells and 17,894 gastric cancer cells were identified, revealing 13 distinct cell clusters. Gene enrichment analyses identified high expression in several pathways (P53, Wnt and JAK-STAT3) in TAMs and mast cells. Cell communication was more robust in the GC group than the PM group, with TAMs (Tumor-associated Macrophages) and mast cells showing elevated expression of the CCL5-CCR1 ligand-receptor signaling axis in both groups. Pseudotemporal analysis demonstrated the differentiation potential of TAMs into mast cells, with APOC1, C1QB, FCN1, FTL, S100A9, CD1C, CD1E and FCER1A identified as the top eight genes driving this process. High expression levels of these genes, along with CCL5 and CCR1, were associated with poor long-term survival in cancer patients. scRNA-seq identified the intricate tumor immune microenvironment, highlighting the pivotal roles of TAMs and mast cells in gastric cancer peritoneal metastasis. The CCL5-CCR1 pathway emerged as a potential immune checkpoint, offering novel insights for future immunotherapeutic and targeted therapeutic strategies in the treatment of gastric cancer peritoneal metastasis.
胃癌的发生和转移是复杂的过程,涉及肿瘤微环境(TME)以及各种细胞类型之间的相互作用。在此,我们使用单细胞RNA测序(scRNA-seq)研究了胃癌及其转移背后的分子机制和生物学过程,旨在确定临床治疗的新靶点和新方法。使用R版本4.4.1和SeuratV5软件包处理来自GEO数据库的20个scRNA-seq样本。选择高变基因进行基因本体论(GO)、京都基因与基因组百科全书(KEGG)和基因集变异分析(GSAV)富集分析。进行CytoTRACE、CellChat和Monocle3分析,以研究腹膜转移(PM)组和胃癌(GC)组中的细胞通讯和伪时间动态。此外,通过整合来自TCGA临床数据库的数据评估关键基因的预后意义。共鉴定出2,626,594个腹膜转移细胞和17,894个胃癌细胞,揭示了13个不同的细胞簇。基因富集分析确定了肿瘤相关巨噬细胞(TAM)和肥大细胞中几种途径(P53、Wnt和JAK-STAT3)的高表达。GC组中的细胞通讯比PM组更强,两组中的TAM和肥大细胞均显示CCL5-CCR1配体-受体信号轴的表达升高。伪时间分析证明了TAM向肥大细胞的分化潜力,鉴定出APOC1、C1QB、FCN1、FTL、S100A9、CD1C、CD1E和FCER1A为驱动此过程的前八个基因。这些基因以及CCL5和CCR1的高表达水平与癌症患者的长期生存不良相关。scRNA-seq确定了复杂的肿瘤免疫微环境,突出了TAM和肥大细胞在胃癌腹膜转移中的关键作用。CCL5-CCR1途径成为潜在的免疫检查点,为未来胃癌腹膜转移的免疫治疗和靶向治疗策略提供了新见解。