Development of Galectin-7-Specific Nanobodies: Implications for Immunotherapy and Molecular Imaging in Cancer

Rita Nehmé1, Marlène Fortier1, Myriam Létourneau1

  • 1INRS─Centre Armand-Frappier Santé Biotechnologie, Laval, Québec H7 V 1B7, Canada.

PubMed

Insights

Researchers developed novel galectin-7 specific nanobodies (Nbs) that inhibit T-cell apoptosis and enable PET imaging for triple-negative breast cancer (TNBC). These tools aid in cancer immunotherapy by identifying responsive patients.

Area of Science:

  • Immunology
  • Oncology
  • Radiochemistry

Background:

  • Galectins are key regulators of immune responses and present challenges in cancer immunotherapy.
  • Developing galectin inhibitors is difficult due to structural similarities and a lack of imaging tools to identify responsive patients.

Purpose of the Study:

  • To develop galectin-7 specific inhibitors using nanobodies (Nbs).
  • To create a PET imaging tracer for identifying patients responsive to galectin-targeted therapies.
  • To investigate the role of galectin-7 in triple-negative breast cancer (TNBC) immune evasion.

Main Methods:

  • Developed 12 galectin-7 specific nanobodies (Nbs), identifying G7N8 as the lead.
  • Conjugated G7N8 with NOTA chelator and labeled with copper-64 ([64Cu]Cu) for PET imaging.
  • Evaluated Nb affinity, specificity, and inhibitory function in vitro and in a TNBC mouse model.

Main Results:

  • Nbs showed high affinity and specificity for galectin-7, inhibiting T-cell glycoreceptor binding and reducing apoptosis.
  • [64Cu]Cu-NOTA-G7N8 PET imaging demonstrated selective radiotracer accumulation in TNBC models.
  • The developed Nbs effectively target galectin-7 and can be used for non-invasive imaging.

Conclusions:

  • Galectin-7 specific nanobodies offer a dual approach for inhibiting T-cell apoptosis and enabling PET imaging in TNBC.
  • These novel tools can advance the understanding of immune regulation in cancer.
  • The findings provide new avenues for enhancing cancer immunotherapy by identifying patient populations likely to respond to treatment.