Is Tumor Cell Specificity Distinct from Tumor Selectivity In Vivo?: A Quantitative NIR Molecular Imaging Analysis of

Girgis Obaid1,2, Kimberley Samkoe3, Kenneth Tichauer4

  • 1Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, U.S.

Nano Research
|March 15, 2021
PubMed

Insights

Receptor targeted nanoliposomes (tNLs) show improved in vivo specificity for molecular targets, addressing previous questions about their efficacy. This study quantifies tNL specificity, aiding precision medicine applications.

Area of Science:

  • Nanomedicine
  • Molecular Imaging
  • Oncology

Background:

  • Receptor targeted nanoliposomes (tNLs) efficacy in solid tumors is debated due to poor correlation between tumor accumulation/selectivity and molecular specificity.
  • Existing methods often conflate tumor selectivity with true molecular targeting efficiency.

Purpose of the Study:

  • To quantify the in vivo molecular specificity of tNLs for target receptors using in situ near-infrared (NIR) molecular imaging.
  • To differentiate molecular specificity from tumor selectivity influenced by enhanced permeability and retention (EPR) effects.

Main Methods:

  • Utilized cetuximab and IRDye conjugated tNLs in U251, U87, and 9L tumor models.
  • Employed in situ NIR molecular imaging to quantitate in vivo specificity.
  • Correlated imaging data with in vitro and ex vivo EGFR expression levels.

Main Results:

  • Tumor delivery and selectivity of tNLs did not correlate with EGFR expression, underrepresenting molecular specificity by up to 94.2%.
  • In vivo specificity, measured by tNL-reported tumor EGFR concentration via NIR imaging, positively correlated with EGFR expression (in vitro: r=0.92, ex vivo: r=0.96).

Conclusions:

  • NIR molecular imaging provides accurate in vivo quantitation of tNL molecular specificity, resolving the disconnect between tNL synthesis and in vivo performance.
  • Findings support tNLs as precision medicine platforms, enabling improved synthesis and patient customization for better therapeutic outcomes and safety.

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