Quantitative molecular phenotyping with topically applied SERS nanoparticles for intraoperative guidance of breast

Yu Wang1, Soyoung Kang1, Altaz Khan2

  • 1Department of Mechanical Engineering, University of Washington, Seattle, WA 98195, USA.

Scientific Reports
|February 17, 2016
PubMed

Insights

This study introduces a rapid molecular imaging technique using targeted nanoparticles to identify residual cancer in excised tissues. This quantitative molecular phenotyping (QMP) method aids surgeons in achieving complete tumor removal during surgery.

Area of Science:

  • Biomedical Engineering
  • Molecular Imaging
  • Nanotechnology

Background:

  • Accurate tumor margin identification is crucial for complete cancer removal during surgery.
  • Current methods struggle with tumor heterogeneity and require time-consuming analysis.
  • Molecular imaging of cell-surface receptors offers a sensitive and specific diagnostic approach.

Purpose of the Study:

  • To develop a rapid, quantitative molecular imaging technique for assessing excised tumor margins.
  • To enable multiplexed detection of cancer biomarkers for improved diagnostic accuracy.
  • To provide intraoperative guidance for complete tumor resection.

Main Methods:

  • Topical application of a multiplexed cocktail of receptor-targeted surface-enhanced Raman scattering (SERS) nanoparticles (NPs).
  • Quantitative molecular phenotyping (QMP) using a ratiometric method to distinguish specific from nonspecific NP binding.
  • Validation using human tumor cell lines, xenografts, and fresh human breast tissue specimens.

Main Results:

  • Demonstrated rapid (under 15 minutes) quantitative molecular phenotyping of excised tissue surfaces.
  • QMP imaging results showed strong agreement with established techniques like flow cytometry and immunohistochemistry.
  • The ratiometric method effectively mitigated ambiguity from nonspecific binding and uneven NP delivery.

Conclusions:

  • Topical application of multiplexed SERS nanoparticles enables rapid QMP of excised tissues.
  • This technique accurately identifies disease presence at tumor margins, potentially guiding intraoperative surgical decisions.
  • The developed method shows promise for enhancing the efficacy of breast-conserving surgeries.

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