Decoding the cholangiocarcinoma tumor microenvironment: from single-cell and spatial atlases to translational therapeutic targeting
Cholangiocarcinoma is a heterogeneous biliary malignancy characterized by late diagnosis, stromal desmoplasia, immune exclusion, and frequent resistance to chemotherapy, immunotherapy, and molecularly targeted therapy. Although genomic stratification has enabled biomarker-directed treatment for selected patients, cancer cell-intrinsic alterations alone do not fully explain disease progression or therapeutic failure. Recent advances in single-cell RNA sequencing, single-cell multi-omics, spatial transcriptomics, spatial proteomics, multiplex imaging, and pathomics have redefined the CCA tumor microenvironment as an active ecosystem composed of malignant cholangiocytes, cancer-associated fibroblasts, tumor-associated macrophages, regulatory T cells, exhausted CD8 + T cells, natural killer cells, B cells/plasma cells, endothelial cells, extracellular matrix, and tertiary lymphoid structures. These approaches have identified clinically relevant cellular states and spatial niches, including CD146 + vascular cancer-associated fibroblasts, LGALS1 + fibroblasts, SPP1 + macrophages, MEOX1 + regulatory T cells, POSTN+ fibroblast-rich invasive fronts, and CAF-TAM-vascular interaction units. Major communication axes such as IL-6/IL-6R, TGF-β/TGFBR, SPP1/CD44, CXCL12/CXCR4, PD-1/PD-L1, VEGF/VEGFR, and POSTN/integrins connect cellular heterogeneity with immune escape, invasion, angiogenesis, and therapy resistance. This review synthesizes current single-cell and spatial atlases of CCA and proposes a conceptual translational framework in which TME-derived cellular states, spatial biomarkers, and druggable communication axes may inform patient stratification and rational combination therapy. Because many proposed TME phenotypes and composite biomarkers remain atlas-derived, correlative, or preclinical, this framework should be viewed as a roadmap for prospective validation rather than as a clinically established classification.
Authors
- Jingnan Xue
- Longhao Zhang
- Haitao Zhao (ORCID: https://orcid.org/0000-0002-3444-8044)
- Yu Wu
- Kai Zhang
- Xin Lu
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Anshun University (CN)
- Guizhou Provincial People's Hospital (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2026-08-03
- DOI
- https://doi.org/10.1186/s12967-026-08750-6
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Beijing Municipality