Be Active or Not: the Relative Contribution of Active and Passive Tumor Targeting of Nanomaterials

Rui Li1, Ke Zheng2, Cai Yuan2

  • 1Key Laboratory of Animal Immunology of the Ministry of Agriculture, Henan Provincial Key Laboratory of Animal Immunology, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, China.

Nanotheranostics
|October 27, 2017
PubMed

Insights

Nanomaterials (NMs) target tumors via passive enhanced permeability and retention (EPR) effect and active receptor-mediated targeting. Active targeting becomes more significant over time, contributing more to NM accumulation in tumors than passive EPR effects.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Oncology

Background:

  • Malignant tumors (cancer) represent a significant global health challenge.
  • Nanomaterials (NMs) are investigated for cancer diagnosis and therapy.
  • NMs can accumulate in tumors via passive enhanced permeability and retention (EPR) effect and active receptor-mediated targeting.

Purpose of the Study:

  • To clarify the relative contributions of EPR effect and receptor-mediated targeting to NM accumulation in tumors.
  • To review the mechanisms of NM tumor targeting and circulation to tumors.
  • To analyze the temporal dynamics of active versus passive NM targeting in tumor tissues.

Main Methods:

  • Comprehensive review of existing studies on NM tumor targeting strategies.
  • Analysis of NM accumulation in tumors based on passive (EPR) and active (receptor-mediated) mechanisms.
  • Comparison of the time-dependent contributions of active and passive targeting.

Main Results:

  • The relative contributions of active and passive targeting to NM accumulation in tumors vary over time.
  • Receptor-mediated targeting demonstrates a greater contribution than the EPR effect over time.
  • A specific example shows active targeting (uPAR-mediated) contributing 3 times more than passive EPR (HSA-mediated) accumulation.

Conclusions:

  • The dynamics of active and passive targeting are crucial for understanding NM accumulation at tumor sites.
  • This review provides insights into the temporal interplay between different NM targeting strategies.
  • Findings are valuable for optimizing the design of NMs for improved cancer diagnosis and treatment.