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Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Esophageal Squamous Cell Carcinoma

GSE203067 Homo sapiens Expression profiling by high throughput sequencing 21 samples 2025/05/08 GPL20795
Summary
We profiled the transcriptome of 85, 263 single cells from ESCC patients with lymph node metastasis (LNM) and clustered 7, 196 myeloid cells into 18 subclusters including nine for macrophage cells, one for neutrophils, two for monocytes, two for mast cells, one for tolerogenic dendritic cells, one for plasmacytoid dendritic cells and two for conventional dendritic cells. In this study, we not only provides a high-resolution landscape of the tumor, immune and stromal compartments in metastatic lymph node, but also highlights metastatic-specific patterns comparing with primary tumor. These findings provide insights that may help to shape the tumor microenvironment and inform the development of new strategies against these pro-metastatic non-tumor components for inhibiting tumor growth and overcoming metastasis.
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NCBI GEO page ↗ Paper (PMID 36709495) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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