ArticleJournal of translational medicine2026
Integrated single-cell and spatial transcriptomic analysis reveals mCAF-SPP1⁺ macrophage-T cell crosstalk shaping immunosuppressive niches in colorectal cancer liver metastasis.
Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Lactate as a Master Regulator of Immune Suppression: From Metabolic Waste to Epigenetic Checkpoint in Colorectal Cancer.International journal of molecular sciences · 2026Review
- Spatial ecotype in tumor immune exclusion: from spatial architecture to therapeutic strategies.Molecular cancer · 2026Review
- The invasive front in hepatocellular carcinoma: toward a tumor-CAF-macrophage metabolic interface.Frontiers in immunology · 2026Article
- Tumour-Derived sEVs Promote Triple-Negative Breast Cancer Progression Associated with HAVCR2 Upregulation in Macrophages.Oncology research · 2026Article
- Multicellular immunosuppressive networks in microsatellite-stable colorectal cancer: CD8+ T cell exclusion, dysfunction, exhaustion, and therapeutic implications.Frontiers in immunology · 2026Review
- Innate immune signaling-driven myeloid remodeling in cancer: inflammatory amplification, immune suppression, and therapeutic targeting.Frontiers in immunology · 2026Review
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Authors and funding
6 authors.
Funding
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Abstract
backgroundColorectal cancer liver metastasis (CRC-LM) carries poor prognosis and responds poorly to current immunotherapies. Liver metastases often display T-cell exclusion, but how stromal and myeloid circuits jointly shape T-cell states across primary and metastatic sites, and how to capture this in robust prognostic markers, remains unclear.
methodsWe integrated multi-cohort single-cell RNA sequencing datasets of primary colorectal cancer and CRC-LM to define tumour-associated macrophages (TAMs), cancer-associated fibroblasts (CAFs) and T-cell subsets, and used CellChat and NicheNet to map ligand–receptor networks and downstream programs. Visium spatial transcriptomics with cell2location deconvolution delineated stromal–immune architectures in CRC-LM. A stromal–myeloid gene signature derived from key populations was evaluated in TCGA-COAD/READ and GSE39582, and a GCC-targeted second-generation CAR-T model was used to test the impact of recombinant SPP1 and MIF on tumour killing.
resultsIn this study, we found that CRC-LM were enriched for stress-response (TSTR) and exhausted (Tex) T cells and featured a recurrent mCAF–SPP1⁺ TAM–Tex/TSTR niche. Spatial analysis revealed a stereotyped three-layer organization at the tumour–stroma interface, with outer mCAF belts, inner SPP1⁺ TAM–rich zones and intervening TSTR/Tex bands. Communication analysis identified SPP1–CD44, FN1–CD44 and MIF/CXCL12 as dominant stromal–myeloid axes promoting T-cell retention, stress and exhaustion. In GCC-directed CAR-T assays, recombinant SPP1 and MIF impaired tumour clearance, and a three-gene stromal–myeloid signature (KLF2, ZBTB20, ARL4C) robustly stratified recurrence and disease-free survival independent of TNM stage.
conclusionsIntegrating single-cell, spatial and functional data, we define a stromal–myeloid niche that underlies immune confinement in CRC-LM and highlight actionable ligand–receptor pathways. The three-gene stromal–myeloid signature provides a concise, mechanism-based tool for risk stratification and patient selection in colorectal cancer.
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