Article ; Online: Challenges and opportunities for modeling aging and cancer.
2023 Volume 41, Issue 4, Page(s) 641–645
Abstract: Age is among the main risk factors for cancer, and any cancer study in adults is faced with an aging tissue and organism. Yet, pre-clinical studies are carried out using young mice and are not able to address the impact of aging and associated ... ...
Abstract | Age is among the main risk factors for cancer, and any cancer study in adults is faced with an aging tissue and organism. Yet, pre-clinical studies are carried out using young mice and are not able to address the impact of aging and associated comorbidities on disease biology and treatment outcomes. Here, we discuss the limitations of current mouse cancer models and suggest strategies for developing novel models to address these major gaps in knowledge and experimental approaches. |
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MeSH term(s) | Animals ; Mice ; Aging ; Neoplasms/genetics ; Disease Models, Animal ; Risk Factors |
Language | English |
Publishing date | 2023-03-30 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S. |
ZDB-ID | 2078448-X |
ISSN | 1878-3686 ; 1535-6108 |
ISSN (online) | 1878-3686 |
ISSN | 1535-6108 |
DOI | 10.1016/j.ccell.2023.03.006 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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