Assessing the Efficacy of Immune Checkpoint Inhibitors in Preclinical Tumor Models

Celia Jacoberger-Foissac1,2, Bertrand Allard1, David Allard1,2

  • 1Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Institut du Cancer de Montréal, Montréal, QC, Canada.

Insights

This study details methods for generating preclinical cancer models to test immunotherapies. Researchers can now better evaluate treatment efficacy and immune responses in subcutaneous tumors and lung metastases.

Area of Science:

  • Oncology
  • Immunology
  • Preclinical Cancer Research

Background:

  • Identifying novel immune targets is crucial for cancer immunotherapy.
  • Syngeneic tumor models are essential for preclinical immunotherapy development.
  • Evaluating immunotherapy efficacy requires robust preclinical models.

Purpose of the Study:

  • To provide practical procedures for generating subcutaneous tumors and lung metastases.
  • To describe methods for quantifying lung metastasis burden using imaging.
  • To present a protocol for studying spontaneous metastases and neoadjuvant immunotherapy.

Main Methods:

  • Generation of subcutaneous tumors and experimental lung metastases in syngeneic models.
  • Quantification of contrasted lung metastasis burden via imaging techniques.
  • Orthotopic injection of breast tumor cells followed by tumor resection for metastasis study.

Main Results:

  • Established protocols for creating reliable preclinical cancer models.
  • Demonstrated a method for quantitative assessment of lung metastasis.
  • Provided a framework for evaluating neoadjuvant immunotherapy strategies.

Conclusions:

  • The presented methods facilitate the preclinical evaluation of immunotherapies.
  • Accurate quantification of metastasis burden aids in assessing treatment effectiveness.
  • These protocols support the advancement of cancer immunotherapy research.

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