Mouse Models for Cancer Immunotherapy Research
Autor: | Akash Patnaik, Brian Olson, Yadi Li, Yu Lin, Edison T. Liu |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Biomedical Research medicine.medical_treatment Cancer therapy Malignancy Bioinformatics Article Mice 03 medical and health sciences 0302 clinical medicine Immune system Cancer immunotherapy Neoplasms medicine Animals Humans Tumor microenvironment business.industry Cancer Immunotherapy medicine.disease Clinical trial Disease Models Animal 030104 developmental biology Oncology 030220 oncology & carcinogenesis business |
Zdroj: | Cancer Discov |
ISSN: | 2159-8290 2159-8274 |
Popis: | Immunotherapy has revolutionized cancer therapy, largely attributed to the success of immune-checkpoint blockade. However, there are subsets of patients across multiple cancers who have not shown robust responses to these agents. A major impediment to progress in the field is the availability of faithful mouse models that recapitulate the complexity of human malignancy and immune contexture within the tumor microenvironment. These models are urgently needed across all malignancies to interrogate and predict antitumor immune responses and therapeutic efficacy in clinical trials. Herein, we seek to review pros and cons of different cancer mouse models, and how they can be used as platforms to predict efficacy and resistance to cancer immunotherapies. Significance: Although immunotherapy has shown substantial benefit in the treatment of a variety of malignancies, a key hurdle toward the advancement of these therapies is the availability of immunocompetent preclinical mouse models that recapitulate human disease. Here, we review the evolution of preclinical mouse models and their utility as coclinical platforms for mechanistic interrogation of cancer immunotherapies. Cancer Discov; 8(11); 1358–65. ©2018 AACR. |
Databáze: | OpenAIRE |
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