Literature DB >> 22742762

A blueprint for staging of murine melanocytic lesions based on the Cdk4 ( R24C/R24C ) ::Tyr- NRAS ( Q ) ( 61K ) model.

Elisabeth M T Wurm1, Lynlee L Lin, Blake Ferguson, Duncan Lambie, Tarl W Prow, Graeme J Walker, H Peter Soyer.   

Abstract

It has been shown that gene mutations which drive the development of malignant melanoma (MM) in humans also lead to emergence of MM when engineered mice. However, little attention has been paid to the clinical and histopathological features of melanocytic lesions and their natural history in a given mouse model. This knowledge is crucial to enable us to understand how engineered mutations influence the initiation and evolution of melanocytic lesions, and/or for the use of mice as a preclinical model to test specific treatments. We recently reported the development of melanocytic proliferations along the spectrum of naevi to MM in a Cdk4 ( R24C/R24C ) ::Tyr- NRAS ( Q ) ( 61K ) mouse model. In this study, we followed the development of lesions over time using digital photography and dermoscopy with the aim to correlate the clinical and histopathological features of lesions developing in this model. We identified two types of lesions. The first are slow-growing dermal MMs that emanate from dermal naevi. The second did not emanate from naevi, grew rapidly, and appeared to be solely confined to the subcutaneous fat. We present a simple staging system for the MMs that progress from naevi, based on depth of extension into the dermis and subcutis. This represents a blueprint for documentation and follow-up of MMs in the live animal, which is critical for the proper use of murine melanoma models.
© 2012 John Wiley & Sons A/S.

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Year:  2012        PMID: 22742762     DOI: 10.1111/j.1600-0625.2012.01543.x

Source DB:  PubMed          Journal:  Exp Dermatol        ISSN: 0906-6705            Impact factor:   3.960


  7 in total

1.  Lack of Evidence From a Transgenic Mouse Model that the Activation and Migration of Melanocytes to the Epidermis after Neonatal UVR Enhances Melanoma Development.

Authors:  Herlina Y Handoko; Mathieu P Rodero; H Konrad Muller; Kiarash Khosrotehrani; Graeme J Walker
Journal:  J Invest Dermatol       Date:  2015-06-02       Impact factor: 8.551

2.  Identifying mouse models for skin cancer using the Mouse Tumor Biology Database.

Authors:  Dale A Begley; Debra M Krupke; Steven B Neuhauser; Joel E Richardson; Paul N Schofield; Carol J Bult; Janan T Eppig; John P Sundberg
Journal:  Exp Dermatol       Date:  2014-10       Impact factor: 3.960

Review 3.  Melanocytic nevi and melanoma: unraveling a complex relationship.

Authors:  W E Damsky; M Bosenberg
Journal:  Oncogene       Date:  2017-06-12       Impact factor: 9.867

4.  Melanoma susceptibility as a complex trait: genetic variation controls all stages of tumor progression.

Authors:  B Ferguson; R Ram; H Y Handoko; P Mukhopadhyay; H K Muller; H P Soyer; G Morahan; G J Walker
Journal:  Oncogene       Date:  2014-08-04       Impact factor: 9.867

5.  Genetic alterations in RAS-regulated pathway in acral lentiginous melanoma.

Authors:  Joan A Puig-Butillé; Celia Badenas; Zighereda Ogbah; Cristina Carrera; Paula Aguilera; Josep Malvehy; Susana Puig
Journal:  Exp Dermatol       Date:  2013-02       Impact factor: 3.960

6.  Classification and Grading of Melanocytic Lesions in a Mouse Model of NRAS-driven Melanomagenesis.

Authors:  Charles-Antoine Assenmacher; Sara F Santagostino; Mark A Oyama; Jean-Christophe Marine; Elise Bonvin; Enrico Radaelli
Journal:  J Histochem Cytochem       Date:  2020-12-07       Impact factor: 2.479

7.  Different genetic mechanisms mediate spontaneous versus UVR-induced malignant melanoma.

Authors:  Blake Ferguson; Herlina Y Handoko; Pamela Mukhopadhyay; Arash Chitsazan; Lois Balmer; Grant Morahan; Graeme J Walker
Journal:  Elife       Date:  2019-01-25       Impact factor: 8.140

  7 in total

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