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Functional heterogeneity of lymphocytic patterns in primary melanoma dissected through single-cell multiplexing

In melanoma, the lymphocytic infiltrate is a prognostic parameter classified morphologically into ‘brisk’, ‘non-brisk’ and ‘absent’ entailing a functional association that has never been proved. Recently, it has been shown that lymphocytic populations can be very heterogeneous, and that anti-PD-1 im...

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Detalles Bibliográficos
Autores principales: Bosisio, Francesca Maria, Antoranz, Asier, van Herck, Yannick, Bolognesi, Maddalena Maria, Marcelis, Lukas, Chinello, Clizia, Wouters, Jasper, Magni, Fulvio, Alexopoulos, Leonidas, Stas, Marguerite, Boecxstaens, Veerle, Bechter, Oliver, Cattoretti, Giorgio, van den Oord, Joost
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053517/
https://www.ncbi.nlm.nih.gov/pubmed/32057296
http://dx.doi.org/10.7554/eLife.53008
Descripción
Sumario:In melanoma, the lymphocytic infiltrate is a prognostic parameter classified morphologically into ‘brisk’, ‘non-brisk’ and ‘absent’ entailing a functional association that has never been proved. Recently, it has been shown that lymphocytic populations can be very heterogeneous, and that anti-PD-1 immunotherapy supports activated T cells. Here, we characterize the immune landscape in primary melanoma by high-dimensional single-cell multiplex analysis in tissue sections (MILAN technique) followed by image analysis, RT-PCR and shotgun proteomics. We observed that the brisk and non-brisk patterns are heterogeneous functional categories that can be further sub-classified into active, transitional or exhausted. The classification of primary melanomas based on the functional paradigm also shows correlation with spontaneous regression, and an improved prognostic value when compared to that of the brisk classification. Finally, the main inflammatory cell subpopulations that are present in the microenvironment associated with activation and exhaustion and their spatial relationships are described using neighbourhood analysis.