| Chapter title |
The Tumor Microenvironment
|
|---|---|
| Chapter number | 12 |
| Book title |
The Tumor Microenvironment
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3801-8_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3799-8, 978-1-4939-3801-8
|
| Authors |
Allard, Bertrand, Allard, David, Stagg, John, Bertrand Allard, David Allard, John Stagg |
| Editors |
Josie Ursini-Siegel, Nicole Beauchemin |
| 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. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 26% |
| Student > Master | 4 | 15% |
| Student > Bachelor | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Other | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 6 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 33% |
| Agricultural and Biological Sciences | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Immunology and Microbiology | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 30% |