Melanoma models for the next generation of therapies Review


Authors: Patton, E. E.; Mueller, K. L.; Adams, D. J.; Anandasabapathy, N.; Aplin, A. E.; Bertolotto, C.; Bosenberg, M.; Ceol, C. J.; Burd, C. E.; Chi, P.; Herlyn, M.; Holmen, S. L.; Karreth, F. A.; Kaufman, C. K.; Khan, S.; Kobold, S.; Leucci, E.; Levy, C.; Lombard, D. B.; Lund, A. W.; Marie, K. L.; Marine, J. C.; Marais, R.; McMahon, M.; Robles-Espinoza, C. D.; Ronai, Z. A.; Samuels, Y.; Soengas, M. S.; Villanueva, J.; Weeraratna, A. T.; White, R. M.; Yeh, I.; Zhu, J.; Zon, L. I.; Hurlbert, M. S.; Merlino, G.
Review Title: Melanoma models for the next generation of therapies
Abstract: There is a lack of appropriate melanoma models that can be used to evaluate the efficacy of novel therapeutic modalities. Here, we discuss the current state of the art of melanoma models including genetically engineered mouse, patient-derived xenograft, zebrafish, and ex vivo and in vitro models. We also identify five major challenges that can be addressed using such models, including metastasis and tumor dormancy, drug resistance, the melanoma immune response, and the impact of aging and environmental exposures on melanoma progression and drug resistance. Additionally, we discuss the opportunity for building models for rare subtypes of melanomas, which represent an unmet critical need. Finally, we identify key recommendations for melanoma models that may improve accuracy of preclinical testing and predict efficacy in clinical trials, to help usher in the next generation of melanoma therapies. © 2021 Elsevier Inc.
Keywords: melanoma; drug discovery; immunotherapy; targeted therapy; therapeutics; animal models; tumor microenvironment
Journal Title: Cancer Cell
Volume: 39
Issue: 5
ISSN: 1535-6108
Publisher: Cell Press  
Date Published: 2021-05-10
Start Page: 610
End Page: 631
Language: English
DOI: 10.1016/j.ccell.2021.01.011
PUBMED: 33545064
PROVIDER: scopus
PMCID: PMC8378471
DOI/URL:
Notes: Review -- Export Date: 1 June 2021 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Ping Chi
    172 Chi
  2. Richard Mark White
    68 White