Cell–Cell Interactome-Based Pathogenesis and Therapies for Osteosarcoma
Highlights
- The review systematically summarizes how tumor–microenvironment interactions, involving endothelial cells, fibroblasts, stromal cells, immune populations, and osteoclasts, drive osteosarcoma metastasis, therapy resistance, and tumor progression.
- Key molecular and cellular mechanisms, including exosome communication, signaling pathway activation, immune evasion, and vascular remodeling, are identified as central contributors to osteosarcoma aggressiveness.
- Understanding these cellular crosstalk mechanisms provides a foundation for developing targeted therapies, immunomodulatory strategies, and microenvironment-focused interventions to overcome therapy resistance and metastatic spread.
- The integrated insights from this review support precision medicine approaches, highlight actionable molecular targets, and guide future research to improve the clinical management of osteosarcoma.
Abstract
1. Introduction
2. Role of Cell–Cell Interactions During OS Progression
2.1. Mesenchymal Lineage Cell–OS Crosstalk
2.1.1. Endothelial Cell–OS
2.1.2. Fibroblast–OS
2.1.3. Stromal Cell–OS
2.2. Immune Cell–OS Crosstalk
2.2.1. Neutrophil–OS
2.2.2. Macrophage–OS
2.2.3. Lymphocytes
2.3. Osteoclasts
3. Resistance to Treatment
3.1. ECs
3.2. Fibroblasts
3.3. Stromal Cells
3.4. Neutrophils
3.5. Macrophages
3.6. Lymphocytes
3.7. Osteoclasts
4. Metastatic Dissemination of OS
4.1. ECs
4.2. Fibroblasts
4.3. Stromal Cells
4.4. Neutrophils
4.5. Macrophages
4.6. Lymphocytes
4.7. Osteoclasts
5. Integrated Molecular Signaling Pathways and Non-Coding RNA Regulation of the Osteosarcoma Tumor Microenvironment
6. Therapeutic Approaches to Osteosarcoma
6.1. Diagnostic-Based Precision Therapies
6.2. Mechanism-Based Therapies
6.3. Potential Future Therapies
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| MDPI | Multidisciplinary Digital Publishing Institute |
| DOAJ | Directory of open access journals |
| TLA | Three-letter acronym |
| LD | Linear dichroism |
| TME | Tumor microenvironment |
| EV | Extracellular Vesicles |
| HUVECs | Exosomes derived from human umbilical vein ECs |
| CAFs | Cancer-Associated Fibroblasts |
| ECM | Extracellular Matrix |
| MATs | Mesenchymal–Amoeboid Transitions |
| MSCs | Mesenchymal Stromal Cells |
| BDNF | Brain-Derived Neurotrophic Factors |
| OSDCs | Osteosarcoma Derived Stromal Cells |
| CSC | Cancer Stem Cells |
| FD | Femoral Diaphysis |
| FE | Femoral Metaphysis |
| TANs | Tumor-Associated Neutrophils |
| NETs | Neutrophil Extracellular Traps |
| NLR | Neutrophil-to-Lymphocyte Ratio |
| TAMs | Tumor-Associated Macrophages |
| IGF1 | Insulin-like Growth Factor |
| EMT | Epithelial–Mesenchymal Transition |
| Tregs | Regulatory CD4+ T cells |
| lncRNA | Long noncoding RNAs |
| PLEK | Pleckstrin |
| PLR | Platelet-to-Lymphocyte ratio |
| CAR | C-reactive protein-to-albumin ratio |
| ICD | Immunogenic Cell Death |
| MDSCs | Myeloid-Derived Suppressor Cells |
| EPCs | Endothelial Progenitor Cells |
| CTCs | Circulating Tumor Cells |
| ELA2 | Neutrophil Elastase |
Appendix A
| Category | Target/Strategy | Mechanism/Notes |
|---|---|---|
| Precision Medicine | Genomic and transcriptomic profiling | Tailor therapy to tumor-specific features; predict response |
| Targeted Therapy | TKIs | Block growth signaling; dual VEGF/mTOR inhibition promising |
| Targeted Therapy | PI3K/AKT/mTOR inhibitors | Inhibit OS proliferation; often combined with other agents |
| Immunotherapy | Checkpoint inhibitors | Enhance anti-tumor immune activity |
| Immunotherapy | CAR-T cells | Redirect T cells to target OS cells |
| Immunotherapy | Macrophage reprogramming | Convert immunosuppressive macrophages to anti-tumor |
| Immunotherapy | TIGIT inhibition | Restore T cell cytotoxicity, effective in combinations |
| Nanotechnology | Liposomes/nanoparticles | Improve tumor-specific drug delivery; reduce toxicity |
| Autophagy Modulation | Autophagy enhancers/inhibitors | Alter OS survival under treatment stress; combine with chemo/targeted therapy |
| Metabolic Targeting | BCL-2 family + kinase inhibitors | Exploit tumor metabolic dependencies; improve survival in metastatic models |
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Neelam, S.; Hakeem, A.; Yang, Y.; Yang, S. Cell–Cell Interactome-Based Pathogenesis and Therapies for Osteosarcoma. Cells 2026, 15, 570. https://doi.org/10.3390/cells15060570
Neelam S, Hakeem A, Yang Y, Yang S. Cell–Cell Interactome-Based Pathogenesis and Therapies for Osteosarcoma. Cells. 2026; 15(6):570. https://doi.org/10.3390/cells15060570
Chicago/Turabian StyleNeelam, Sriya, Abdulaziz Hakeem, Yang Yang, and Shuying Yang. 2026. "Cell–Cell Interactome-Based Pathogenesis and Therapies for Osteosarcoma" Cells 15, no. 6: 570. https://doi.org/10.3390/cells15060570
APA StyleNeelam, S., Hakeem, A., Yang, Y., & Yang, S. (2026). Cell–Cell Interactome-Based Pathogenesis and Therapies for Osteosarcoma. Cells, 15(6), 570. https://doi.org/10.3390/cells15060570

