Challenges and opportunities for modeling aging and cancer.

Document Type

Article

Publication Date

4-10-2023

Keywords

JGM, JMG, Animals, Mice, Aging, Neoplasms, Disease Models, Animal, Risk Factors

JAX Source

Cancer Cell. 2023;41(4):641-5.

ISSN

1878-3686

PMID

37001528

DOI

https://doi.org/10.1016/j.ccell.2023.03.006

Grant

The authors are supported by NIH grants P30CA034196 to O.A., K. Palucka, S.A., J.H.C., S.L., G.R., J.J.T., and D.U.; R01CA248317 and R01GM138541 to O.A.; R01CA219880 to K. Palucka; P30AG067988, U54AG075941, and R33 AG061456 to G.A.K.; R35CA197623 to K. Polyak; R01DK126478 and P30CA023168 to T.R.; R01 DK118072, U01AG077925, and R01AG069010 to J.J.T.; P30AG038070 to R.K.; R01CA230031 to J.H.C.; U01CA271830 to S.L.; P30CA069533, U01CA269409, U01CA224012, R01CA169175, and R01CA223150 to L.M.C.; and U01AI165452, R01AI142086, and R13AG069519 to D.U., and by the Susan G. Komen Breast Cancer Foundation, the National Foundation for Cancer Research to L.M.C., and DOD grant WS00358721 to S.S.M. J.J.T. is a scholar of the Leukemia & Lymphoma So- ciety.

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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