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A histopathological classification system of Tyr:: NRAS Q61K murine melanocytic lesions: A reproducible simplified classification
Author(s) -
Sohier Pierre,
Legrand Léa,
Aktary Zackie,
Grill Christine,
Delmas Véronique,
Bernex Florence,
ReyesGomez Edouard,
Larue Lionel,
Vergier Béatrice
Publication year - 2018
Publication title -
pigment cell and melanoma research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.618
H-Index - 105
eISSN - 1755-148X
pISSN - 1755-1471
DOI - 10.1111/pcmr.12677
Subject(s) - neuroblastoma ras viral oncogene homolog , homogeneous , histopathology , melanoma , reproducibility , kappa , cohen's kappa , pathology , experimental pathology , computational biology , medicine , computer science , biology , mathematics , machine learning , cancer , statistics , cancer research , microbiology and biotechnology , combinatorics , geometry , colorectal cancer , kras , in vivo
Summary Genetically engineered mouse models offer essential opportunities to investigate the mechanisms of initiation and progression in melanoma. Here, we report a new simplified histopathology classification of mouse melanocytic lesions in Tyr:: NRAS Q 61K derived models, using an interactive decision tree that produces homogeneous categories. Reproducibility for this classification system was evaluated on a panel of representative cases of murine melanocytic lesions by pathologists and basic scientists. Reproducibility, measured as inter‐rater agreement between evaluators using a modified Fleiss’ kappa statistic, revealed a very good agreement between observers. Should this new simplified classification be adopted, it would create a robust system of communication between researchers in the field of mouse melanoma models.