High resolution combined molecular and structural optical imaging of colorectal cancer in a xenograft mouse model

Fabio Feroldi1, Mariska Verlaan2, Helene Knaus1

  • 1Department of Physics and Astronomy, LaserLaB Amsterdam, VU University Amsterdam, de Boelelaan 1081, 1081HV, Amsterdam, The Netherlands.

Insights

This study introduces a novel combined imaging technique for visualizing the tumor microenvironment (TME). The method integrates near-infrared immunofluorescence (immuno-NIRF) and optical coherence tomography (OCT) for detailed, non-invasive cancer diagnostics.

Area of Science:

  • Biomedical Imaging
  • Optical Imaging
  • Cancer Research

Background:

  • Immunotherapies require detailed visualization of the tumor microenvironment (TME) for efficacy prediction.
  • Current nuclear imaging lacks spatial resolution, while near-infrared immunofluorescence (immuno-NIRF) and optical coherence tomography (OCT) offer complementary information.

Purpose of the Study:

  • To demonstrate the combined use of immuno-NIRF and OCT for high-resolution, in situ imaging of the TME.
  • To develop novel imaging tools for enhanced cancer diagnostics and research.

Main Methods:

  • Combined immuno-NIRF and OCT imaging targeting specific membrane receptors with fluorescently labeled monoclonal antibodies (mAb).
  • Utilized a xenograft mouse model of human colorectal cancer.
  • Developed a handheld scanner for ex vivo and an endoscope for in vivo imaging.

Main Results:

  • Achieved molecular and structural contrast at ~15 µm resolution, revealing unprecedented TME details.
  • Successfully demonstrated in situ imaging of colorectal cancer in a mouse model.
  • Presented functional handheld and endoscopic imaging devices.

Conclusions:

  • Combined immuno-NIRF and OCT provides detailed visualization of the TME, complementing nuclear imaging.
  • This technique can aid in diagnosing cancer invasiveness, determining tumor margins, and studying antibody biodistribution.
  • The developed imaging systems offer promising applications for preclinical and clinical cancer research.

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