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单细胞数据揭示了胃癌肝转移中 TNK 细胞异质性的调控机制

英文原题:Single-cell data revealed the regulatory mechanism of TNK cell heterogeneity in liver metastasis from gastric cancer.

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Single-cell data revealed the regulatory mechanism of TNK cell heterogeneity in liver metastasis from gastric cancer.

PubMed 2024/11/16(内容时间) Discov Oncol Q3 · IF 2.8(JCR 2025)

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研究概要

本研究通过单细胞转录组学分析揭示了 TNK 细胞亚群在胃癌肝转移中的关键作用。这些发现为开发抑制胃癌肝转移的新疗法提供了重要的理论依据。

研究思路结论见上方概要

GC 具有高度异质性和肝转移的特征。从肿瘤微环境(TME)异质性的角度探索 GC 肝转移的机制,可能有助于提高 GC 治疗的疗效。

本研究旨在对胃癌(GC)肝转移相关的细胞亚群及其与其他免疫细胞亚群相互作用的机制进行分类。基于胃癌肝转移的细胞亚群特征,分析了促进胃癌进展的调控机制,特别关注信号通路、转录因子(TFs)和配体-受体对的作用。

从Gene Expression Omnibus (GEO)数据库下载GSE163558数据集,收集GC患者及其转移组的单细胞转录组数据,用于细胞聚类及相关分析。筛选GC和GC肝转移组中的差异表达基因(DEGs),并进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。采用SCENIC分析挖掘在GC肝转移过程中影响细胞亚群的TFs。使用qRT-PCR测定GC中TFs的相对表达水平。利用Transwell和伤口愈合实验验证TFs对GC细胞迁移和侵袭的调控。应用CellChat构建细胞亚群之间的相互作用网络。

单细胞聚类将六大主要细胞亚群分组,即髓系细胞、B细胞、肥大细胞、上皮细胞、成纤维细胞和TNK细胞,其中TNK细胞数量在GC肝转移组中显著增加。GC与GC肝转移组之间TNK细胞的差异富集通路主要包括IL-17和Pi3k-Akt信号通路。TNK细胞亚群可进一步分为CD8 T细胞、耗竭T细胞、NK细胞、NKT细胞和Treg细胞,其中GC肝转移组的CD8 T细胞和NKT细胞显著增多。FOS和JUNB是TNK细胞标记基因的转录因子,促进了GC向肝转移以及GC细胞系的侵袭和迁移。GC与GC肝转移组之间在免疫细胞通讯配体-受体对方面存在显著差异。

展开英文摘要原文

GC is characterized by a high degree of heterogeneity and liver metastasis. Exploring the mechanism of liver metastasis of GC from the perspective of heterogeneity of the tumor microenvironment (TME) might help improve the efficacy of GC treatment.

Based on the cellular subpopulation characteristics of GC with liver metastasis, the regulatory mechanisms contributing to GC progression were analyzed, with special focuses on the roles of signaling pathways, transcription factors (TFs) and ligand-receptor pairs.

The GSE163558 dataset was downloaded from the Gene Expression Omnibus (GEO) database to collect single-cell transcriptomic data of GC patients and their metastasis groups for cell clustering and relevant analyses. Differentially expressed genes (DEGs) in the GC and GC liver metastasis groups were screened and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. SCENIC analysis was used to mine TFs that affected cellular subpopulations during liver metastasis from GC. The relative expression levels of TFs in GC were determined using qRT-PCR. Transwell and wound healing assays were utilized to verify the regulation of the TFs on the migration and invasion of GC cells. Interaction network between the cellular subpopulations was developed applying CellChat.

Single-cell clustering was performed to group six major cell subpopulations, namely, Myeloid cells, B cells, Mast cells, Epithelial cells, Fibroblasts, and TNK cells, among which the number of TNK cells was significantly increased in the GC liver metastasis group. Differentially enriched pathways of TNK cells between GC and GC liver metastasis groups mainly included IL-17 and Pi3k-Akt signaling pathways. TNK cell subsets could be further categorized into CD8 T cells, Exhausted T cells, NK cells, NKT cells, and Treg cells, with the GC liver metastasis group showing significantly more CD8 T cells and NKT cells. FOS and JUNB were the TFs of TNK cell marker genes that contributed to liver metastasis from GC and the invasion and migration of GC cell lines. Significant differences in immune cell communication ligand-receptor pairs existed between the GC and GC liver metastasis groups.

This study revealed the critical role of TNK cell subsets in GC with liver metastasis applying single-cell transcriptomics analysis. The findings provided an important theoretical basis for developing novel therapies to inhibit liver metastasis from GC.

论文信息

作者
Gao J、Liu Y、Tao L、Zeng P、Ye G、Zheng Y、Zhang N
第一作者单位
Department of Gastrointestinal Surgery, Jiangxi Province Hospital of Integrated Chinese and Western Medicine, Nanchang, 330003, China.China
通讯作者单位
Department of Emergency, Jiangxi Province Hospital of Integrated Chinese and Western Medicine, Nanchang, 330003, China. zhangnai_nz@163.com.China
期刊
Discover oncology2024 Nov 16
原文标识
PubMed 39549183 · DOI 10.1007/s12672-024-01528-6