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Biofunctionalization of Magnetic Nanomaterials
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Engineered RBC-derived nanovesicles functionalized with tumor-targeting ligands: A comparative study on breast cancer
Fulan Yang1,2, Weilun Pan3, Jin Jiang4
1Department of Breast Surgery, Ganzhou Hospital-Nanfang Hospital, Southern Medical University, Ganzhou, Jiangxi Province, 341000, China.
Open Medicine (Warsaw, Poland)
|November 11, 2025
Summary
Red blood cell nanovesicles (RNVs) were engineered with targeting ligands to improve breast cancer treatment. RNVs modified with cRGD showed the best tumor targeting and accumulation, enhancing drug delivery potential.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Oncology
Background:
- Cell membrane-derived nanovesicles, especially red blood cell nanovesicles (RNVs), show promise for cancer drug delivery due to biocompatibility and immune evasion.
- However, poor tumor targeting and biodistribution limit their clinical application.
Purpose of the Study:
- To functionalize RNVs with various tumor-targeting ligands (cRGD, transferrin, folic acid, GE11, RVG29).
- To compare the tumor-homing efficiency, biodistribution, and biosafety of these engineered RNVs in a breast cancer model.
Main Methods:
- Functionalization of RNVs with cRGD, transferrin (TRF), folic acid (FA), GE11, and RVG29 ligands.
- In vitro and in vivo evaluation of tumor targeting, accumulation, and cellular uptake.
- Biodistribution and biosafety assessment in murine models using fluorescence imaging.
Main Results:
- Engineered RNVs demonstrated significantly enhanced tumor affinity compared to unmodified RNVs.
- RNV@cRGD exhibited the highest intratumoral accumulation and cellular uptake, followed by RNV@GE11, RNV@TRF, RNV@FA, and RNV@RVG29.
- All functionalized RNVs showed good stability, tumor selectivity, and negligible toxicity in vivo.
Conclusions:
- cRGD is identified as the most effective ligand for targeting breast cancer using RNVs.
- This study provides design principles for developing targeted RNV-based drug delivery systems.
- Ligand-engineered RNVs hold significant translational potential for clinical oncology applications.

