Longitudinal immune characterization of syngeneic tumor models to enable model selection for immune oncology drug discovery.
J Immunother Cancer
; 7(1): 328, 2019 11 28.
Article
en En
| MEDLINE
| ID: mdl-31779705
BACKGROUND: The ability to modulate immune-inhibitory pathways using checkpoint blockade antibodies such as αPD-1, αPD-L1, and αCTLA-4 represents a significant breakthrough in cancer therapy in recent years. This has driven interest in identifying small-molecule-immunotherapy combinations to increase the proportion of responses. Murine syngeneic models, which have a functional immune system, represent an essential tool for pre-clinical evaluation of new immunotherapies. However, immune response varies widely between models and the translational relevance of each model is not fully understood, making selection of an appropriate pre-clinical model for drug target validation challenging. METHODS: Using flow cytometry, O-link protein analysis, RT-PCR, and RNAseq we have characterized kinetic changes in immune-cell populations over the course of tumor development in commonly used syngeneic models. RESULTS: This longitudinal profiling of syngeneic models enables pharmacodynamic time point selection within each model, dependent on the immune population of interest. Additionally, we have characterized the changes in immune populations in each of these models after treatment with the combination of α-PD-L1 and α-CTLA-4 antibodies, enabling benchmarking to known immune modulating treatments within each model. CONCLUSIONS: Taken together, this dataset will provide a framework for characterization and enable the selection of the optimal models for immunotherapy combinations and generate potential biomarkers for clinical evaluation in identifying responders and non-responders to immunotherapy combinations.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Ensayos de Selección de Medicamentos Antitumorales
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Descubrimiento de Drogas
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Inmunomodulación
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Antineoplásicos Inmunológicos
Límite:
Animals
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Humans
Idioma:
En
Revista:
J Immunother Cancer
Año:
2019
Tipo del documento:
Article
Pais de publicación:
Reino Unido