Single-cell transcriptomic analysis reveals key cell types and pathogenic genes associated with metastasis in pancreatic adenocarcinoma
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 (LMO7⁺, TOP2A⁺, PIGR⁺), fibroblast (IGKC⁺, RGS5⁺), and M2-like macrophage (APOE⁺, CD14⁺, FOLR2⁺, SPP1⁺) 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-index > 0.85), 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.
Authors
- Shijun Shen
- Zhiqiang Li (ORCID: https://orcid.org/0000-0002-0174-9254)
- Xinwei Zhang (ORCID: https://orcid.org/0000-0001-8304-6669)
- Hong Yang (ORCID: https://orcid.org/0000-0002-1440-3412)
- Gang Chen
- Chengzhou Pa
Institutions
- Kunming Medical University (CN)
- The First Hospital of Kunming (CN)
- Living Independently Now Center (US)
- First Affiliated Hospital of Kunming Medical University (CN)
- Zhejiang Provincial People's Hospital (CN)
- Pingliang People's Hospital (CN)
Publication Details
- Journal
- Clinical and Experimental Medicine
- Published
- 2025-11-29
- DOI
- https://doi.org/10.1007/s10238-025-01974-8
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00