From Bench to Bedside: Advancements in Precision Oncology and Drug Discovery for Osteosarcoma
Simple Summary
Abstract
1. Introduction
Literature Search Strategy
2. Molecular Pathogenesis and Tumour Microenvironment of Osteosarcoma
2.1. The Central Role of TGF-β Signalling in Osteosarcoma Progression
2.2. Epigenetic Regulation and Non-Coding RNA Networks
2.3. Extracellular Vesicle-Mediated Intercellular Communication in Osteosarcoma
3. Mechanisms of Metastasis and Chemoresistance in Osteosarcoma
3.1. Early Dissemination and Lung Tropism
3.2. Molecular Drivers of Metastasis
3.3. Mechanisms of Chemoresistance
4. Current Standard-of-Care Therapies and Their Limitations
5. Targeted Therapies in Osteosarcoma
5.1. Targeting Receptor Tyrosine Kinases and Downstream Pathways
5.2. Targeting TGF-β Signalling
5.3. Targeting Cell-Cycle and DNA Damage-Response Pathways
5.4. Epigenetic Therapies: HDAC and DNMT Inhibitors
5.5. CRISPR-Cas9 Editing: Recent Achievements and Therapeutical Strategies
5.6. Translational Limitations and Future Perspectives of Targeted Therapies in Osteosarcoma
6. Immunotherapy and Immune Modulation in Osteosarcoma
6.1. The Immunological Landscape of Osteosarcoma
6.2. Immune Checkpoint Inhibitors: Clinical Evidence and Biological Limitations
6.3. Macrophage-Targeted Immunotherapy
6.4. CAR-T and CAR-NK Cell Therapies
6.5. Overcoming Immune Resistance in Osteosarcoma: Future Perspectives
7. Nanotechnology-Enabled Therapeutic Strategies for Osteosarcoma Treatment and Bone Reconstruction
7.1. Magnetic Nanoparticles and Magnetic Hyperthermia Therapies
7.2. Mesoporous Bioactive Glasses (MBGs): Ion Release, Drug Delivery, and Bone Regeneration
7.3. Biodegradable Metal-Based Scaffolds Employed for Bone Reconstruction
7.4. Injectable Hydrogels for Local Therapy and Bone Regeneration
7.5. Limitations and Translational Challenges of Nanotechnology-Based Approaches
8. Conclusions and Future Perspectives
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Target/Pathway | Representative Agents | Preclinical Evidence | Clinical Evidence | Main Limitations |
|---|---|---|---|---|
| IGF-1R | Monoclonal antibodies and small-molecule inhibitors | Reduced OS cell proliferation and tumour growth in preclinical models | Limited clinical benefit in early-phase trials | Pathway redundancy and compensatory signalling via insulin receptor |
| VEGFR/PDGFR (multikinase) | Regorafenib, pazopanib, and sorafenib | Anti-angiogenic activity and delayed tumour progression in vivo | Improved progression-free survival in phase II trials | Predominantly cytostatic effects; transient responses |
| PI3K/AKT/mTOR | Everolimus and temsirolimus | Growth inhibition and enhanced chemosensitivity in selected models | Variable and inconsistent activity as monotherapy | Strong pathway redundancy; rapid compensatory signalling; tumour heterogeneity |
| TGF-β/ALK5 | Small-molecule ALK5 inhibitors | Reduced primary tumour growth and metastatic burden; immune modulation | Acceptable safety in early-phase trials | Limited efficacy as single agents; need for rational combinations |
| DNA damage response | PARP inhibitors | Enhanced cytotoxicity when combined with DNA-damaging agents | No clear benefit as monotherapy | Lack of classical homologous recombination deficiency |
| Epigenetic regulators | HDAC and DNMT inhibitors | Reduced viability and clonogenicity; resensitisation to chemotherapy in combination settings | Modest clinical activity as single agents | Systemic toxicity; absence of predictive biomarkers |
| Strategy | Target/Mechanism | Experimental Evidence | Clinical Evidence | Key Challenges |
|---|---|---|---|---|
| Immune checkpoint inhibition | PD-1/PD-L1 and CTLA-4 | Limited immune activation in OS models | Low objective response rates in clinical trials | Immune-suppressed tumour microenvironment; low neoantigen expression |
| Macrophage activation | Mifamurtide (L-MTP-PE) | Enhanced macrophage-mediated antitumour activity | Improved overall survival when combined with chemotherapy | Benefit restricted to selected patient subsets |
| Macrophage reprogramming | CSF-1R inhibition, ATRA, and metabolic modulators | Reduced tumour growth and metastasis in preclinical models | Limited or absent clinical validation in OS | Macrophage plasticity; context-dependent effects |
| Innate immune checkpoint blockade | CD47–SIRPα axis | Increased macrophage-mediated phagocytosis in OS models | No clinical data currently available in OS | Potential hematologic toxicity; target ubiquity |
| CAR-T cell therapy | GD2 and B7-H3 (HER2 in selected settings) | Potent cytotoxicity in vitro and xenograft models | Limited and transient responses in early clinical experience | Antigen heterogeneity; poor persistence and trafficking |
| CAR-NK cell therapy | B7-H3, CD70, and MCAM | Effective tumour suppression in preclinical models | Early developmental stage | Short in vivo lifespan; limited persistence |
| Platform | Primary Function | Experimental Models | Key Advantages | Main Limitations |
|---|---|---|---|---|
| Superparamagnetic iron oxide nanoparticles (SPIONs) | Magnetic hyperthermia and imaging | OS cell lines; murine tumour models | Local heat generation; MRI contrast capability; synergy with chemotherapy | Preferential accumulation in liver and spleen; long-term clearance concerns |
| Mesoporous bioactive glasses (MBGs) | Ion release and drug delivery | In vitro OS models; scaffold implantation | High drug-loading capacity; pH-responsive release; osteogenic ion delivery | Control of degradation kinetics and ion dosage |
| Biodegradable metal-based scaffolds (Mg, Fe, and Zn) | Load-bearing support and local antitumour effects | 2D/3D cultures; rodent bone defect models | Mechanical strength; time-dependent degradation; suitability for large defects | Precise corrosion-rate control; gas formation (Mg); slow degradation (Fe) |
| Injectable hydrogels | Local drug depot and bone regeneration | Murine post-resection OS models | In situ gelation; sustained release (≈14–21 days); combined tumour control and repair | Limited penetration depth; formulation-dependent stability |
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Giacchi, L.; Pucci, E.; Rucci, N. From Bench to Bedside: Advancements in Precision Oncology and Drug Discovery for Osteosarcoma. Cancers 2026, 18, 561. https://doi.org/10.3390/cancers18040561
Giacchi L, Pucci E, Rucci N. From Bench to Bedside: Advancements in Precision Oncology and Drug Discovery for Osteosarcoma. Cancers. 2026; 18(4):561. https://doi.org/10.3390/cancers18040561
Chicago/Turabian StyleGiacchi, Luca, Elisa Pucci, and Nadia Rucci. 2026. "From Bench to Bedside: Advancements in Precision Oncology and Drug Discovery for Osteosarcoma" Cancers 18, no. 4: 561. https://doi.org/10.3390/cancers18040561
APA StyleGiacchi, L., Pucci, E., & Rucci, N. (2026). From Bench to Bedside: Advancements in Precision Oncology and Drug Discovery for Osteosarcoma. Cancers, 18(4), 561. https://doi.org/10.3390/cancers18040561

