Modulating active targeting nanoparticle design according to tumor progressions

Huifang Nie1, Rong Huang1, Guangwei Jiang1

  • 1School of Pharmacy, Key Laboratory of Smart Drug Delivery (Ministry of Education), Minhang Hospital, Fudan University, Shanghai 201203, China.

PubMed

Insights

This study reveals how nanoparticle size impacts cancer drug delivery. Smaller nanoparticles work best in early-stage tumors, while larger ones are more effective in advanced cancers due to specific receptor interactions.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Oncology

Background:

  • Nanoparticle-based drug delivery systems show promise for cancer diagnosis and treatment.
  • The influence of tumor progression on nanoparticle accumulation, particularly for active targeting nanoparticles, is not well understood.

Purpose of the Study:

  • To investigate the accumulation and penetration of RGD-modified gold nanoparticles (active AuNPs) of varying sizes in orthotopic breast cancer models with different tumor progressions.
  • To elucidate the relationship between nanoparticle size, tumor progression, and targeting efficiency.

Main Methods:

  • Utilized RGD-modified gold nanoparticles (AuNPs) of different sizes.
  • Investigated nanoparticle accumulation and penetration in orthotopic breast cancer models at various stages of progression.
  • Analyzed the effects of tumor extracellular matrix properties and receptor expression on nanoparticle behavior.

Main Results:

  • Smaller active AuNPs demonstrated superior accumulation and penetration in early-stage tumors, attributed to favorable tumor microenvironment characteristics (looser matrix, larger gaps, lower pressure).
  • Larger active AuNPs showed enhanced accumulation and penetration in late-stage tumors, driven by multivalent interactions with highly expressed integrin αvβ3 receptors.
  • Mid-stage tumors exhibited accumulation influenced by both size effects and multivalent interactions, with 7 nm and 90 nm active AuNPs showing significant accumulation.

Conclusions:

  • Nanoparticle size plays a critical role in optimizing accumulation and penetration in tumors, with the optimal size dependent on tumor progression.
  • Understanding the interplay between nanoparticle size, tumor microenvironment, and target receptor expression is crucial for designing effective targeted cancer therapies.
  • This research provides guidance for the rational design of active targeting nanoparticles to improve cancer diagnosis and treatment outcomes based on tumor progression.

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