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Multivalent nanoparticles for personalized theranostics based on tumor receptor distribution behavior.

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Optimizing ligand valency on multivalent magnetic nanoparticles (MMNs) enhances tumor targeting. The ideal valency (Fe-PR4 or Fe-PR8) depends on folate receptor (FR) expression levels and distribution on cancer cells for effective theranostics.

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Area of Science:

  • Nanomedicine
  • Biotechnology
  • Materials Science

Background:

  • Multivalent ligand-modified nanoparticles (MLNs) show promise for targeted cancer therapy.
  • Ligand spatial presentation, determined by valency, is crucial for MLN targeting efficiency.
  • Tumor receptor overexpression varies, necessitating adaptable targeting strategies.

Purpose of the Study:

  • To investigate the impact of ligand valency on MLN targeting of tumors with differing folate receptor (FR) expression levels.
  • To develop and evaluate multivalent magnetic nanoparticles (MMNs) with tunable valency for personalized cancer theranostics.

Main Methods:

  • Conjugation of raltitrexed-modified ligand clusters (PRn, n=2, 4, 8) onto magnetic nanoparticles to create MMNs with varying valencies (Fe-PRn).
  • In vitro evaluation of MMNs against KB (high FR) and HeLa (moderate FR) cancer cells to assess targeting and therapeutic efficacy.
  • In vivo studies including tumor inhibition and targeted magnetic resonance imaging (MRI) in KB and H22 (moderate FR) tumor models.

Main Results:

  • Fe-PR4 demonstrated optimal targeting for high FR-expressing KB cells with decentralized receptors, balancing rebinding and steric hindrance.
  • Fe-PR8 showed superior performance in moderately FR-expressing HeLa cells with clustered receptors, facilitating enhanced statistical rebinding.
  • In vivo studies corroborated in vitro findings, showing valency-dependent tumor inhibition and MRI signal enhancement.

Conclusions:

  • Ligand valency is a critical, tunable parameter for optimizing MMN targeting efficiency in diverse tumor microenvironments.
  • The developed Fe-PRn system offers potential for personalized nanomedicine, adapting to specific tumor receptor profiles for theranostics.
  • Modulating ligand valency based on tumor receptor distribution enables precise targeting and improved therapeutic outcomes.