Single-cell data revealed the regulatory mechanism of TNK cell heterogeneity in liver metastasis from gastric cancer DOI Creative Commons
Jun Gao, Yujuan Liu, Tao Lu

et al.

Discover Oncology, Journal Year: 2024, Volume and Issue: 15(1)

Published: Nov. 16, 2024

The present work set out to classify cell subpopulations related liver metastasis from gastric cancer (GC) and the mechanisms of their interactions with other immune subpopulations. GC is characterized by a high degree heterogeneity metastasis. Exploring mechanism perspective tumor microenvironment (TME) might help improve efficacy treatment. Based on cellular subpopulation characteristics metastasis, regulatory contributing progression were analyzed, special focuses roles signaling pathways, transcription factors (TFs) ligand–receptor pairs. GSE163558 dataset was downloaded Gene Expression Omnibus (GEO) database collect single-cell transcriptomic data patients groups for clustering relevant analyses. Differentially expressed genes (DEGs) in screened subjected Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) enrichment analysis. SCENIC analysis used mine TFs that affected during GC. relative expression levels determined using qRT-PCR. Transwell wound healing assays utilized verify regulation migration invasion cells. Interaction network between developed applying CellChat. Single-cell performed group six major subpopulations, namely, Myeloid cells, B Mast Epithelial Fibroblasts, TNK among which number cells significantly increased group. enriched pathways mainly included IL-17 Pi3k–Akt pathways. subsets could be further categorized into CD8 T Exhausted NK NKT Treg showing more FOS JUNB marker contributed lines. Significant differences communication pairs existed groups. This study revealed critical role transcriptomics findings provided an important theoretical basis developing novel therapies inhibit

Language: Английский

Molecular Mechanism for Malignant Progression of Gastric Cancer within the Tumor Microenvironment DOI Open Access
Tasuku Matsuoka, Masakazu Yashiro

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(21), P. 11735 - 11735

Published: Oct. 31, 2024

Gastric cancer (GC) is one of the most common cancers worldwide. Most patients are diagnosed at progressive stage GC, and progress in development effective anti-GC drugs has been insufficient. The tumor microenvironment (TME) regulates various functions cells, interactions between cellular molecular components TME-e.g., inflammatory fibroblasts, vasculature innate adaptive immune cells-promote aggressiveness cells dissemination to distant organs. This review summarizes roles TME molecules regulating malignant progression metastasis GC. We also address important signaling pathways mediating interaction different GC TME. Finally, we discuss implications these mechanisms for developing novel therapies targeting control

Language: Английский

Citations

4
Single-cell data revealed the regulatory mechanism of TNK cell heterogeneity in liver metastasis from gastric cancer DOI Creative Commons
Jun Gao, Yujuan Liu, Tao Lu

et al.

Discover Oncology, Journal Year: 2024, Volume and Issue: 15(1)

Published: Nov. 16, 2024

The present work set out to classify cell subpopulations related liver metastasis from gastric cancer (GC) and the mechanisms of their interactions with other immune subpopulations. GC is characterized by a high degree heterogeneity metastasis. Exploring mechanism perspective tumor microenvironment (TME) might help improve efficacy treatment. Based on cellular subpopulation characteristics metastasis, regulatory contributing progression were analyzed, special focuses roles signaling pathways, transcription factors (TFs) ligand–receptor pairs. GSE163558 dataset was downloaded Gene Expression Omnibus (GEO) database collect single-cell transcriptomic data patients groups for clustering relevant analyses. Differentially expressed genes (DEGs) in screened subjected Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) enrichment analysis. SCENIC analysis used mine TFs that affected during GC. relative expression levels determined using qRT-PCR. Transwell wound healing assays utilized verify regulation migration invasion cells. Interaction network between developed applying CellChat. Single-cell performed group six major subpopulations, namely, Myeloid cells, B Mast Epithelial Fibroblasts, TNK among which number cells significantly increased group. enriched pathways mainly included IL-17 Pi3k–Akt pathways. subsets could be further categorized into CD8 T Exhausted NK NKT Treg showing more FOS JUNB marker contributed lines. Significant differences communication pairs existed groups. This study revealed critical role transcriptomics findings provided an important theoretical basis developing novel therapies inhibit

Language: Английский

Citations

0