Pancreatic ductal adenocarcinoma (PAAD) metastasis is driven by complex tumor-microenvironment interactions. Here, we integrated single-cell and bulk transcriptomic analyses of 104,855 cells from 10 patients to delineate the cellular and molecular landscape of primary versus metastatic PAAD. We identified metastasis-associated epithelial (LMO7âº, TOP2Aâº, PIGRâº), fibroblast (IGKCâº, RGS5âº), and M2-like macrophage (APOEâº, CD14âº, FOLR2âº, SPP1âº) subpopulations, validated via bulk deconvolution. Functional analyses revealed upregulated Wnt signaling, epithelial-mesenchymal transition, and angiogenesis in metastatic epithelial and fibroblast compartments. Intercellular communication analysis highlighted SPP1-mediated macrophage-epithelial/fibroblast crosstalk involving key receptor-ligand pairs, contributing to immune suppression and metastatic niche formation. Integrating gene expression and cell proportions, we developed a prognostic model with high predictive accuracy (C-indexâ>â0.85), stratifying patients into risk groups with distinct immune landscapes. Furthermore, PTK6 was identified as a driver of PAAD proliferation, migration, and invasion. Collectively, our study elucidates TME-driven mechanisms of PAAD metastasis, identifies prognostic and therapeutic targets, and provides a framework for precision intervention.
Single-cell transcriptomic analysis reveals key cell types and pathogenic genes associated with metastasis in pancreatic adenocarcinoma.
单细胞转录组分析揭示了与胰腺腺癌转移相关的关键细胞类型和致病基因。
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| 期刊: | Clinical and Experimental Medicine | 影响因子: | 3.500 |
| 时间: | 2025 | 起止号: | 2025 Nov 29; 26(1):61 |
| doi: | 10.1007/s10238-025-01974-8 | ||
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