Heterogeneity of Cholangiocarcinoma Immune Biology
Abstract
:1. Introduction
Immune System
2. Innate Immune System
2.1. Monocytes
2.2. Tumor-Associated Macrophages
2.3. Myeloid-Derived Suppressor Cells
2.4. Neutrophils
2.5. Natural Killer Cells
2.6. Dendritic Cells
3. Adaptive Immune System
3.1. T Lymphocytes
3.2. B Lymphocytes
4. The Crosstalk between Immune Cells and Cancer-Associated Fibroblasts
5. The Crosstalk between Immune Cells and Cancer Stem Cells
6. Conclusions and Future Perspectives
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Name | Type of Markers | Expressed Genes | Main Function |
---|---|---|---|
Vascular CAFs (vCAFs) | Microvasculature and inflammatory signatures | CD146 (MCAM), MYH11, GJA4, RGS5, IL-6 and CCL8 | Vascular development |
Matrix CAFs (mCAFs) | Extracellular matrix signatures | Collagen (COL5A1, COL5A2, COL6A3), periostin (POSTN), FN1, LUM, DCN and VCAN | Extracellular matrix |
Inflammatory CAFs (iCAFs) | Inflammatory signatures | FBLN1, IGF1, CXCL1, IGFBP6, SLPI, SAA1 and complement genes (G3 and G7) | Complement activation |
Antigen-presenting CAFs (apCAFs) | Major histocompatibility complex II (MHC-II) signatures | CD74, HLA-DRA and HLA-DRB1 | Antigen presentation |
EMT-like CAFs (eCAFs) | Epithelium specific signatures | KRT19, KRT8 and SAA1 | Epithelial- mesenchymal transition |
Lipofibroblasts | Lipid metabolism signatures | APOA2, FABP1, FABP4 and FRZB | Lipid processing |
Site of Expression | Biomarker | Biological Significance | Prognostic Correlation | |
---|---|---|---|---|
Innate immune system | Monocytes | Angiopoietin 1 [25] | Negative regulator of angiogenesis, binding Tie receptor | Reduced metastatic incidence in hilar CCA patients |
Tie [24,25] | Receptor-binding angiopoietin factors | Low infiltration of Tie-expressing monocytes has been correlated with lower survival and higher levels of CA 19-9 | ||
FcεRI+ [26] | T-cell activation | Better prognosis | ||
Macrophages | CD68+/CD206+ [35] | Tumor-associated macrophage marker | Worse prognosis | |
CD274+ [42] | Modulation of immune response | Worse prognosis | ||
Myeloid-derived suppressor cells | CD11b+CD14-CD15+ [45] | Marker of polymorphonuclear myeloid-derived suppressor cells | PMN-MDSC affects PSC progression into CCA | |
CD11b+CD14+HLA-DR- [45] | Marker of monocytic myeloid-derived suppressor cells | MDSCs promote angiogenesis, metastatic spread and tumor recurrence | ||
Neutrophils | TANs [52,56,57] | Tumor-associated neutrophils that can acquire N1 (antitumorigenic) or N2 (protumorigenic) phenotype | Worse overall survival | |
CD15+ [58] | Marker of mature neutrophils and neutrophil distribution in the tumor microenvironment | Shorter disease-free survival time and worse overall survival | ||
NGAL [59] | Neutrophil gelatinase-associated lipocalin. Initially found in activated neutrophils | Malignant pancreatobiliary cancers | ||
NLR [61,62,63,64] | Neutrophil–lymphocyte ratio | Worse overall survival | ||
(sPLD1) [67] | Immune-checkpoint inhibitor that binds to its receptor PD-1 expressed by T cells and other immune cells to regulate immune responses | Predicts survival in advanced BTC patients receiving palliative chemotherapy | ||
TINs [69] | Tumor-infiltrating neutrophils | Poor prognosis | ||
Natural killer | NKG2D receptor [79] | Activating receptor that is mostly expressed on cells of the cytotoxic arm of the immune system | PSC patients with NKG2D-receptor polymorphisms are more likely to develop CCA | |
NKG2D ligands [80] | Ligands binding to NKG2D receptor | Improved disease-free and overall patient survival | ||
Dendritic cells | CD83+ cDCs [89] | Mature DCs | Better patient outcome | |
pDCs [92] | Plasmacytoid DCs with non-phagocytic function | Higher risk of recurrence and poor overall survival | ||
CD40 [94] | Costimulatory protein found on antigen-presenting cells, required for their activation | Low CD40—poor survival rates | ||
FCGR1A [94] | High affinity immunoglobulin gamma Fc receptor I, which plays a crucial role in the immune response | Better overall survival | ||
Adaptive immune system | B lymphocytes | [111,118] | Favorable overall survival | |
T lymphocytes | CD4+ [101] | Marker of regulatory T cells | High infiltration is correlated with worse prognosis | |
CD8+ [102] | Marker of cytotoxic T cells | High infiltration is correlated with better prognosis | ||
LAIR2 [111] | Marker of T-cell exhaustion | Worse prognosis | ||
Tumor microenvironment | Cancer-associated fibroblasts | [129] | Reduced survival | |
FAP+ [50,133,145] | CAF inflammatory phenotype | Promote iCCA growth | ||
Cancer stem cells | CD133+[166] | Marker of CCA stem cell niche | Metastasis and cancer recurrence | |
CD24+ [167] | Marker of CCA stem cell niche | Metastasis and cancer progression | ||
CD44+ [168] | Marker of CCA stem cell niche | Metastasis, chemotherapy resistance | ||
EpCAM [169] | Marker of CCA stem cell niche | Epithelial–mesenchymal transition, poor prognosis | ||
SOX2 [170] | Marker of CCA stem cell niche | Tumor growth, invasion, metastatic spread, poor prognosis | ||
CD49-f [171] | Marker of CCA stem cell niche | Tumor growth, invasion, poor prognosis | ||
Sca-1 [172] | Marker of CCA stem cell niche | Tumor growth, poor prognosis | ||
CD117+ [153] | Marker of CCA stem cell niche | Tumor growth, poor prognosis |
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Vita, F.; Olaizola, I.; Amato, F.; Rae, C.; Marco, S.; Banales, J.M.; Braconi, C. Heterogeneity of Cholangiocarcinoma Immune Biology. Cells 2023, 12, 846. https://doi.org/10.3390/cells12060846
Vita F, Olaizola I, Amato F, Rae C, Marco S, Banales JM, Braconi C. Heterogeneity of Cholangiocarcinoma Immune Biology. Cells. 2023; 12(6):846. https://doi.org/10.3390/cells12060846
Chicago/Turabian StyleVita, Francesca, Irene Olaizola, Francesco Amato, Colin Rae, Sergi Marco, Jesus M. Banales, and Chiara Braconi. 2023. "Heterogeneity of Cholangiocarcinoma Immune Biology" Cells 12, no. 6: 846. https://doi.org/10.3390/cells12060846
APA StyleVita, F., Olaizola, I., Amato, F., Rae, C., Marco, S., Banales, J. M., & Braconi, C. (2023). Heterogeneity of Cholangiocarcinoma Immune Biology. Cells, 12(6), 846. https://doi.org/10.3390/cells12060846