Extracellular Vesicles in Cancer: Mechanistic Insights and Clinical Applications
Simple Summary
Abstract
1. Introduction
2. Biology of Extracellular Vesicles (EVs)
3. Sources of EVs
4. Biogenesis of EVs
5. Methods of Isolation and Purification of EVs
6. Characterization of EVs
7. Cargo of EVs
8. Effects of EVs in TME
8.1. Role of EVs in Angiogenesis
8.2. Effect of EVs on Fibroblasts
8.3. Effects of EVs on Endothelial Cells
8.4. EVs in Epithelial to Mesenchymal Transition
8.5. Role of EVs in the Creation of New Pre-Metastatic Niche
8.6. EVs in Metastasis
8.7. EVs and Immunomodulation
8.8. Role of EVs in ECM Remodeling
9. EVs as Biomarkers of Metastatic Diseases
10. Therapeutic Applications of EVs in Cancer Management
10.1. EVs as Therapeutic Vehicles to Deliver Bioactive Molecules
10.2. EVs as Therapeutic Targets for Cancer Treatment
10.3. EVs in Immunotherapy
10.4. EVs in Overcoming Resistance
11. EVs as Vaccine
12. Engineering EVs for Precision Delivery
13. Challenges for Implying EVs in Clinical Investigations
13.1. Standardization of Characterization and Isolation Procedures
13.2. Heterogeneity
13.3. Current Limitations in Deciphering EV Biogenesis and Activity
13.4. Complexities in Molecular Cargo Profiling of EVs
13.5. Challenges in the Clinical and Regulatory Pathway of EV-Based Application
13.6. Storage and Stability Issues
13.7. Ethical and Regulatory Challenges Associated with EV-Based Therapeutics
14. Role of EVs Beyond Metastasis
15. Tumor Type Specific Roles of EVs Across Various Cancers
15.1. Breast Cancer
15.2. Gastric Cancer
15.3. Pancreatic Cancer
15.4. Liver Cancer
15.5. Melanoma
15.6. Lung Cancer
15.7. Prostate Cancer
15.8. CRCs
15.9. OSCCs
16. Functional Roles of Extracellular Vesicle Subtypes in Tumor Progression and Metastasis
17. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| A2780 cells | Human ovarian cancer cell line |
| A2780/DDP | Cisplatin-resistant derivative of human ovarian cancer cell line |
| ARF6 | ADP-ribosylation factor 6 |
| ARG1 | Arginase-1 |
| BBB | Blood–brain barrier |
| BM-MSCs | Bone marrow mesenchymal stem cells |
| CAFs | Cancer-associated fibroblasts |
| CagA | Cytotoxin-associated gene A |
| Cav-1 | Caveolin-1 |
| CD3 | Cluster of differentiation 3 |
| CD39 | Cluster of Differentiation 39 |
| CD73 | Cluster of Differentiation 73 (also known as Ecto-5′-nucleotidase) |
| CD133+ | Cluster of Differentiation 133 (positive expression) |
| CNS | Central nervous system |
| COX-2 | Cyclooxygenase-2 |
| CRC | Colorectal cancer |
| CTL | Cytotoxic T lymphocytes |
| CTLA-4 | Cytotoxic T-Lymphocyte Associated Protein 4 |
| DCs | Dendritic cells |
| DEX | Dendritic cell-derived exosomes |
| DLS | Dynamic light scattering |
| ECM | Extracellular matrix component |
| EMT | Epithelial–mesenchymal transition |
| EPCAM+ | Epithelial Cell Adhesion Molecule (positive expression) |
| EVELC-M5 | Extracellular Vesicle Early Lung Cancer membrane protein 5 |
| EVs | Extracellular vesicles |
| EVX-M+P | Extracellular vesicles-based combined mRNA and protein vaccine platform |
| Fas | Fas receptor (also known as CD95) |
| FasL | Fas ligand (also known as CD95L) |
| GBM | Glioblastoma |
| GAG | Group-specific antigen |
| GC | Gastric cancer |
| gDNA | Genomic DNA |
| GET | Gene editing tools |
| GLIPR1 | Glioma Pathogenesis-Related Protein 1 |
| ILVs | Intraluminal vesicles |
| LBR | Lamin B Receptor |
| LC | Lung cancer |
| LCMV | Lymphocytic choriomeningitis virus |
| Lung-Exos | Lung-derived exosomes |
| lncRNAs | Long non-coding RNAs |
| MDSCs | Myeloid-derived suppressor cells |
| MDV | Marek’s disease virus |
| MIF | Migration inhibitory factor |
| miR-25 | MicroRNA-25 |
| miR-125b | MicroRNA-125b |
| miR-205 | MicroRNA-205 |
| MMP | Matrix metalloproteinases |
| mRNA | Messenger RNA |
| miRNA | Micro RNA |
| MSCs | Mesenchymal stem cells |
| MVs | Microvesicles |
| MSC-EVs | Mesenchymal stem cell-derived stem cells |
| MVBs | Multivesicular bodies |
| nSMase2 | Neutral sphingomyelinase 2 |
| OSCC | Oral squamous cell carcinoma |
| OX40L | OX40 Ligand (also known as CD252) |
| OVA-Pulsed DEXs | Ovalbumin-pulsed dendritic cell-derived exosomes |
| PDACs | Pancreatic ductal adeno-carcinomas |
| PD-L1 | Programmed death-ligand 1 |
| PD-1 | Programmed death-1 receptor |
| PEG | Polyethylene glycol |
| PMN | Pre-metastatic niche |
| PPIA | Peptidyl-prolyl cis-trans isomerase A (also known as Cyclophilin A) |
| PRRSV | Porcine reproductive and respiratory syndrome virus |
| Rab GD1 | Rab GDP-dissociation inhibitor 1 |
| RCC | Renal cell carcinoma |
| S100A9 | S100 calcium-binding protein A9 |
| SACC | Salivary Adenoid Cystic Carcinoma |
| SC | Skin cancer |
| SCLC | Small cell lung cancer |
| SFTPA1: | Surfactant Protein A1 |
| S-Lipo | Spike mRNA-loaded liposomes |
| STAT3 | Signal transducer and activator of transcription 3 |
| T-EVs | Tumor-derived extracellular vesicles |
| TGFβ | Transforming Growth Factor-beta |
| TME | Tumor microenvironment |
| Tregs | Regulatory T cells |
| tRNAs | Transfer RNAs |
| VacA | Vacuolating cytotoxin A |
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| Mechanisms | Extracellular Vesicles Source and Cargo (miRNA/Protein) | Target/Effect | Implications | References |
|---|---|---|---|---|
| Angiogenesis | Tumor derived exosomal matrix metalloproteinases (MMP-2, MMP-9, MT1-MMP) | Local extracellular matrix (ECM) degradation, supports angiogenesis and tissue remodeling | Role in angiogenesis, wound repair, tumor invasion, potential therapeutic targeting | [61] |
| Immunomodulation | Plasma derived carrying ARG1/CD3/PD-L1/PD-L2 | Stronger antitumor immunity microenvironmental characteristics, such as more activated CD8+ T/NK cells, a greater TH1/TH2 ratio, and higher expressions of IFN-γ/perforin/granzymes, were represented in a high EV-score | While EV-score < 1 GC might have benefited more from ICIs combining HER2-targeted therapy, EV-score ≥ 1 GC obtained more therapeutic benefits from ICIs | [62] |
| Fibroblast modulation/ECM remodeling | Exosomes derived from fibroblasts carrying tumor-targeting proteins, microRNAs (miRs) | Highly efficient for pancreatic cancer | Improving personalized therapeutics and tumor targeting drug delivery vehicles | [63] |
| Fibroblasts modulation and immunomodulation | GLUT1 inhibitor | Tumor glycolysis, fibrotic ECM stiffness, Programmed death-ligand 1/Programmed death-1 Receptor (PD-L1/PD-1) immune check point, enhanced tumor localization and matrix penetration | Suppress tumor glucose metabolism, remodel fibrotic ECM, enhance response to PD-L1 immunotherapy, | [64] |
| Immunomodulation | Endothelial cells derived from endothelial cells carrying pro-inflammatory molecules | EVs increased monocyte penetration of the endothelium and encouraged monocyte accumulation. The inflammatory polarization of macrophages from the M2 to the M1 phenotype was triggered by these EVs | EVs contribute to early-stage atherosclerosis, MAPK inhibition may offer targeted therapeutic intervention | [65] |
| Immunomodulation | Vascular endothelial cells derived and carrying pro-inflammatory molecules, adhesion molecules, and signaling mediators | Induce proinflammatory activation in HUVECs and mixed response in monocytes, promote adhesion and migration | Enhancement of vascular inflammation, contributing to vascular diseases and immune driven pathology | [66] |
| Diagnostic biomarker | Endothelial cells derived and having EV surface protein, endothelial dysfunction-related biomarkers | Reflects endothelial cell health, used as a circulating foot print for INOCA | Potential non-invasive marker for diagnosing INOCA and distinguishing its endotypes, may streamlines diagnostic algorithms | [67] |
| Clinical translational aspect/Therapeutic application | Allogenic adipose mesenchymal stromal cells derived and carrying anti-inflammatory and regulatory molecules including protein, RNAs, lipids | By reducing lung inflammation and histopathological severity, nebulizing haMSC-EVs increased the survival rate | Preclinical efficacy in models of lung injury/ARDS, clinical safety shown in early trials with nebulized EVs, suggests strong potentials for cell-free therapy in respiratory diseases including ARDS and possibly COVID-19 | [68] |
| Pre-metastatic niche | Melanoma-derived exosomes enriched for receptor tyrosine-kinase | Reprogram bone marrow progenitors to a pro-vasculogenic, pro-metastatic phenotype | Systemic niche priming that accelerates metastasis | [69] |
| Organotropic metastasis | Exosomal integrins α6β4 and α6β1 linked to lung metastasis, exosomal integrin αvβ5 linked to liver metastasis | Engage organ-specific resident cells (e.g., fibroblasts/epithelial cells; liver Kupffer cells), activate Src/S100 pathways | Organ-specific metastases could be predicted using exosomal integrins | [70] |
| Pre-mechanistic niche | Melanoma-derived exosomes enriched in CD3-associated proteins and metabolic regulators | Reprograming distant stromal and bone marrow-derived cells to support metastatic dissemination | Tumor-permissive pre-metastatic niche via CD36. | [71] |
| Metabolic reprograming | Breast cancer exosomal miR-122 | Suppresses glucose uptake in niche cells | Enhance metastatic colonization | [72] |
| Vascular barrier disruption | Breast cancer exosomal miR-105 | Targets ZO-1 in endothelial cells, breaks tight junction, increases permeability | Facilitates intravasion/Extravsion and metastasis | [73] |
| Immunosuppression | Tumor-derived PD-L1 | Triggers the immunological checkpoint response by interacting with T cells’ programmed death-1 (PD-1) receptor | The amount of circulating exosomal PD-L1 in patients with metastatic melanoma varies throughout anti-PD-1 therapy and has a favorable correlation with that of IFN-γ | [74] |
| ECM remodeling | EVs derived from bone marrow mesenchymal stem cells (BM-MSCs) carrying Pro-regenerative and proteolytic signals, procrine modulators like proteins, lipids, RNAs | Reducing the proteolytic activity and providing benefits for the regeneration of elastic matrix in an aneurysmal setting | An explanation of the significance localized, rupture-prone aortic aneurysms (AAAs) are caused by the enzymatic breakdown of elastic fibers, which reduces the aorta’s wall flexibility | [75] |
| Metastasis (Epithelial–mesenchymal transition or EMT induction) | Melanoma cell–derived exosomes carrying miR-191 and let-7a | Through paracrine/autocrine signaling, exosomes produced from melanoma cells encourage phenotypic flipping in primary melanocytes | Exosomes encourage the tumor microenvironment’s EMT-like process | [76] |
| Cancer Type | EVs Source | Key Cargo | Clinical Utility | Reference |
|---|---|---|---|---|
| NSCLC | Plasma | Immunosupressive molecules e.g., CD39, CD73, PD-1, PD-L1, CTLA-4, TGFβ, Fas, FasL, and COX-2; Immunostimulatory protein “OX40L’ | Pre-therapy plasma-derived small EVs (sEV) may be helpful as non-invasive biomarkers of clinical outcome and therapy response in NSCLC. | [119] |
| Early lung cancer | Plasma | CD81, PD-L1, GLIPR1, LBR, SFTPA1, EVELC-M5 | According to this study, EVELC-M5 has a lot of potential for clinical application and is a useful diagnostic tool for identifying early lung cancer. | [120] |
| NSCLC | Plasma | CD9, CD63, CD81, Surface proteins | With just 10 µL of unpurified plasma, the EV array analysis was able to identify and characterize exosomes in every sample. | [121] |
| Liver fibrosis | Serum | miR-34c, -151-3p, -483-5p or -532-5p | Serum EVs from healthy, normal people are naturally anti-fibrogenic and anti-fibrotic. They also contain microRNAs that can help recover injured hepatocytes or activated HSC. | [122] |
| Hepatocellular carcinoma | Plasma | mRNAs, circRNAs, lncRNAs | This study found that human plasma had a large amount of extracellular vesicle long RNA (exLR) and discovered a variety of distinct indicators that may be helpful in the detection of cancer. | [123] |
| Oral squamous cell carcinoma (OSCC) | Plasma | CD63, CAV-1 | A longer life expectancy for OSCC patients was associated with decreased levels of plasmatic exosomes both prior to and following surgery. | [124] |
| OSCC | Saliva | PPlA, MMP-9, S1A009, Myosin, Rab GD1 | The study shows that saliva-derived EVs carry proteins that differ significantly between OSCC patients and healthy controls. | [125] |
| Prostate cancer | Plasma | CD63, Prostrate-specific membrane antigen (PSMA), caveolin-1 | Plasma exosomal PSMA and caveo-lin-1 serve as liquid biopsy biomarkers for diagnosis and prognosis of aggressive prostate cancer | [126] |
| Prostate cancer | Urine | MiR-19b, miR-25, miR-125b, and miR-205 | The 100%/93% and 95%/79% specificity/sensitivity of miR-19b against miR-16 detection in total vesicles and exosome-enriched fractions, respectively, demonstrates the difficulty in differentiating cancer patients from healthy persons. | [127] |
| Brain metastasis | Plasma | Pd-L1, pSTAT3α | Patients with brain metastases from melanoma are identified by plasma circulating sEVs showing elevated PD-L1 and decreased STAT3 activity. | [128] |
| Clear cell renal cell carcinoma (ccRCC) | Plasma | TIMP-1 mRNA, TIMP-2 mRNA, MMP-1 mRNA | For ccRCC, EV-derived TIMP-1 mRNA might be a promising predictive biomarker candidate. | [129] |
| ccRCCs | Urine | CD63, CD9, and CD81, CA9 | Because exosomes carry lipids, RNA, and tumor proteins, they have emerged as a significant source for liquid biopsies. The most practical biological liquid for exosome sampling is urine. | [130] |
| Melanoma | Plasma | BRAFV600E | Mutant DNA interacts either directly with the peptide or with the outside side of the EV membrane, leaving it mostly vulnerable to nuclease digestion. | [131] |
| Melanoma | Plasma | Proteins (APOC4, PRG4, PLG, TNC, VWF and SERPIND1) and metabolites (lyso PC a C18:2, PC ae C44:3) | The ability of coupled proteo-metabolomic signatures to distinguish across disease phases may offer important information about prognosis, early detection, and individualized therapy plans. | [132] |
| Gastric cancer | Gastric juice | CagA, VacA proteins | They can cause macrophages to produce interleukin (IL)-6 and IL-1β, gastric epithelial cells to produce IL-8, and tumor necrosis factor-α to be produced. | [133] |
| Gastric cancer | Plasma | ARG1, CD3, PD-L1, PD-L2 | High EV-score links to stronger antitumor immunity and better clinical benefit. | [134] |
| CRC | Plasma | CD133+, EPCAM+ | Compared to healthy controls, patients with advanced colorectal cancer have greater blood levels of total, CD133+, and EPCAM+ EVs, suggesting that the tumor-induced phenotypic alterations are responsible for this rise. | [135] |
| CRC | Stool | Bacterial taxa profile | Microbe-derived EV profiling might provide a new biomarker for identifying and forecasting the prognosis of colorectal cancer. | [136] |
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Alhumaydhi, F.A.; Anwar, S. Extracellular Vesicles in Cancer: Mechanistic Insights and Clinical Applications. Cancers 2026, 18, 537. https://doi.org/10.3390/cancers18030537
Alhumaydhi FA, Anwar S. Extracellular Vesicles in Cancer: Mechanistic Insights and Clinical Applications. Cancers. 2026; 18(3):537. https://doi.org/10.3390/cancers18030537
Chicago/Turabian StyleAlhumaydhi, Fahad A., and Shehwaz Anwar. 2026. "Extracellular Vesicles in Cancer: Mechanistic Insights and Clinical Applications" Cancers 18, no. 3: 537. https://doi.org/10.3390/cancers18030537
APA StyleAlhumaydhi, F. A., & Anwar, S. (2026). Extracellular Vesicles in Cancer: Mechanistic Insights and Clinical Applications. Cancers, 18(3), 537. https://doi.org/10.3390/cancers18030537
