Advancements in melanoma cancer metastasis models

Advancements in melanoma cancer metastasis models

Metastatic melanoma is a complex and deadly disease. Due to its complexity, the development of novel therapeutic strategies to inhibit metastatic melanoma remains an outstanding challenge. Our ability to study metastasis is advanced with the development of in vitro and in vivo models that better mim...

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Bibliographic Details
Published in:Pigment cell and melanoma research Vol. 36; no. 2; pp. 206 - 223
Main Authors: Nascentes Melo, Luiza Martins, Kumar, Suresh, Riess, Valeria, Szylo, Krystina J., Eisenburger, Robin, Schadendorf, Dirk, Ubellacker, Jessalyn M., Tasdogan, Alpaslan
Format: Journal Article
Language:English
Published: England Wiley Subscription Services, Inc 01-03-2023
Subjects:
Cancer
Complexity
Humans
immunotherapy
In vivo methods and tests
Melanoma
Melanoma - pathology
melanoma metastasis
Metastases
Metastatic seeding
Neoplasm Metastasis
preclinical models
tumor heterogeneity
Tumor Microenvironment
melanoma metastasis
preclinical models
tumor microenvironment
immunotherapy
tumor heterogeneity
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Summary:Metastatic melanoma is a complex and deadly disease. Due to its complexity, the development of novel therapeutic strategies to inhibit metastatic melanoma remains an outstanding challenge. Our ability to study metastasis is advanced with the development of in vitro and in vivo models that better mimic the different steps of the metastatic cascade beginning from primary tumor initiation to final metastatic seeding. In this review, we provide a comprehensive summary of in vitro models, in vivo models, and in silico platforms to study the individual steps of melanoma metastasis. Furthermore, we highlight the advantages and limitations of each model and discuss the challenges of how to improve current models to enhance translation for melanoma cancer patients and future therapies.
Bibliography:Luiza Martins Nascentes Melo and Suresh Kumar contributed equally.
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:1755-1471
1755-148X
DOI:10.1111/pcmr.13078