Tumor-Associated Immune-Cell-Mediated Tumor-Targeting Mechanism with NIR-II Fluorescence Imaging

Homan Kang1, Md Shamim2, Xiaoran Yin1,3

  • 1Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.

Insights

Structure-inherent tumor targeting (SITT) using cyanine dyes offers a new way to detect cancer. These dyes target immune cells in tumors, enabling early detection of small cancers for improved surgical guidance.

Area of Science:

  • Biomedical Imaging
  • Oncology
  • Materials Science

Background:

  • Structure-inherent tumor targeting (SITT) with cyanine fluorophores is a promising strategy for cancer detection, avoiding chemical conjugation.
  • The precise targeting mechanism of SITT remains incompletely understood.

Purpose of the Study:

  • To elucidate the mechanism of SITT using heptamethine-cyanine fluorophores.
  • To evaluate the tumor targeting and imaging capabilities of these fluorophores in various cancer models.
  • To explore their potential for detecting small tumors and guiding cancer surgery.

Main Methods:

  • Synthesis and characterization of heptamethine-cyanine fluorophores.
  • Evaluation of tumor targeting and imaging in pancreatic, breast, and lung cancer mouse models.
  • Assessment of tumor-to-background ratio (TBR) and detection of small cancerous tissues (<2 mm).

Main Results:

  • Heptamethine-cyanine fluorophores exhibit intrinsic tumor microenvironment targetability without ligands.
  • These fluorophores offer second near-infrared (NIR-II) window imaging with minimal scattering and low autofluorescence.
  • SH1 demonstrated ubiquitous tumor targeting and high TBR (9.5–47) across multiple cancer models.
  • SH1 successfully detected small orthotopic lung tumors (<2 mm).

Conclusions:

  • The SITT mechanism involves targeting immune cells within the tumor microenvironment.
  • SH1 is a potent cancer-targeting agent with excellent imaging properties for early cancer detection.
  • SH1 shows significant potential for intraoperative optical imaging and image-guided cancer surgery.

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