Decoupling Individual Host Response and Immune Cell Engager Cytotoxic Potency

Cristina Gonzàlez Gutierrez1, Adrien Aimard2, Martine Biarnes-Pélicot1

  • 1Aix-Marseille Univ., CNRS, INSERM, LAI, Centuri Living Systems, 13009 Marseille, France.

ACS Nano
|January 10, 2025
PubMed

Insights

This study introduces a model to understand how bispecific antibodies (bsAbs) engage Natural Killer (NK) cells to kill cancer. The model shows that the density of bsAbs connecting cells is key to triggering cancer cell death.

Area of Science:

  • Immunology
  • Biotechnology
  • Cancer Research

Background:

  • Immune cell engagers, often antibody-based, are crucial for cancer immunotherapy.
  • Understanding the influence of molecular and cellular factors on engager efficiency is limited.
  • Disentangling host immune cell roles and engager biophysical properties is vital for improved design.

Purpose of the Study:

  • To investigate the efficiency of bispecific antibodies (bsAbs) in harnessing Natural Killer (NK) cell-mediated cytotoxicity against cancer.
  • To develop a model that rationalizes the dose-response of bsAbs based on molecular and cellular parameters.
  • To decouple donor-specific responses from immune engager characteristics for optimized design.

Main Methods:

  • Evaluated 6 novel bispecific antibodies (bsAbs) combining anti-HER2 and anti-CD16 nanobodies.
  • Collected in vitro cytotoxicity data using primary human NK cells against target cell lines with varying HER2 antigen densities.
  • Developed a multiscale model linking bsAb density to cytotoxic response.

Main Results:

  • Observed a wide range of bsAb dose responses in cytotoxicity assays.
  • The model identified bsAb density bridging immune and target cells as the primary trigger for cytotoxicity.
  • Introduced 'surface cooperativity' and 'bridge density threshold' parameters to rank antibodies and predict potency.

Conclusions:

  • The developed model provides a framework to understand and predict the efficacy of bsAbs in NK cell-mediated cancer immunotherapy.
  • The model successfully decouples donor-dependent responses from immune engager properties.
  • This approach aids in rationalizing the design of more efficient immune engagers for cancer treatment.

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