Literature DB >> 27581021

Methods to Evaluate the Antitumor Activity of Immune Checkpoint Inhibitors in Preclinical Studies.

Bertrand Allard1,2, David Allard1,2, John Stagg3,4.   

Abstract

Immune checkpoint inhibitors (ICI) are a new class of drugs characterized by their ability to enhance antitumor immune responses through the blockade of critical cell surface receptors involved in the maintenance of peripheral tolerance. The recent approval of ICI targeting CTLA-4 or PD-1 for the treatment of cancer constitutes a major breakthrough in the field of oncology and demonstrates the potential of immune-mediated therapies in achieving durable cancer remissions. The identification of new immune regulatory pathways that could be targeted to reactivate or boost antitumor immunity is now a very active field of research. In this context, the use of syngeneic mouse models and immune monitoring techniques are the cornerstone of proof-of-concept studies. In this chapter, we describe the general methodology to evaluate antitumor activity of ICI in immunocompetent mice. We outline protocols to reliably establish tumors in mice and generate lung metastasis through tail vein injections with the aim of testing the efficacy of ICI. We also present methods to analyze the composition of the tumor immune-infiltrate by multicolor flow cytometry.

Entities:  

Keywords:  Cancer; Immune-checkpoint; Immuno-oncology; PD-1; PD-L1

Mesh:

Substances:

Year:  2016        PMID: 27581021     DOI: 10.1007/978-1-4939-3801-8_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

Review 1.  Immunometabolic Interplay in the Tumor Microenvironment.

Authors:  Irem Kaymak; Kelsey S Williams; Jason R Cantor; Russell G Jones
Journal:  Cancer Cell       Date:  2020-10-29       Impact factor: 31.743

2.  Effects of a Unique Combination of the Whole-Body Low Dose Radiotherapy with Inactivation of Two Immune Checkpoints and/or a Heat Shock Protein on the Transplantable Lung Cancer in Mice.

Authors:  Ewa M Nowosielska; Aneta Cheda; Mateusz Pociegiel; Lukasz Cheda; Paweł Szymański; Antoni Wiedlocha
Journal:  Int J Mol Sci       Date:  2021-06-11       Impact factor: 5.923

  2 in total

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