A Meta-analysis on the Effectiveness of Extracellular Vesicles as Nanosystems for Targeted Delivery of Anticancer

Suleiman Alhaji Muhammad1, Mohammed Sani Jaafaru2, Sulaiman Rabiu1

  • 1Department of Biochemistry & Molecular Biology, Usmanu Danfodiyo University, 840104 Sokoto, Nigeria.

Molecular Pharmaceutics
|January 3, 2023
PubMed

Insights

Extracellular vesicles (EVs) loaded with anticancer drugs and nucleic acid, protein, and virus (NPV) significantly inhibit tumor growth and improve survival compared to free drugs. EVs serve as effective nanoplatforms for targeted cancer therapy.

Area of Science:

  • Oncology
  • Nanotechnology
  • Pharmacology

Background:

  • Anticancer drug efficacy is limited by poor bioavailability and systemic toxicity.
  • Extracellular vesicles (EVs) are natural nanovesicles with potential for targeted drug delivery.
  • Uncertainty exists regarding the efficacy of EVs for controlled drug release in tumor therapy.

Approach:

  • A meta-analysis was conducted on studies evaluating EVs as nanosystems for delivering drugs and NPVs to tumors.
  • Searches were performed across major databases (Cochrane, PubMed, Scopus, Science Direct, Clinical Trials Registry) up to September 2022.
  • Random-effects model was used to pool data on tumor growth inhibition, survival, and tumor targeting.

Key Points:

  • Drug-loaded EVs demonstrated superior efficacy in reducing tumor volume (SMD: -1.99) and weight (SMD: -2.12) compared to free drugs.
  • EV-delivered NPVs also significantly reduced tumor volume (SMD: -2.30) and weight (SMD: -2.05).
  • EV-based treatments significantly improved survival (HR: 0.15) and enhanced drug concentration at tumor sites (SMD: -2.73).

Conclusions:

  • EV-loaded drugs and NPVs show significantly better tumor growth inhibition and survival rates than conventional anticancer agents.
  • Extracellular vesicles represent promising and safe nanoplatforms for targeted tumor therapy.
  • Further clinical studies are warranted to fully elucidate the therapeutic potential of EVs.