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Single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma

Originally described as interpatient variability, tumour heterogeneity has now been demonstrated to occur intrapatiently, within the same lesion, or in different lesions of the same patient. Tumour heterogeneity involves both genetic and epigenetic changes. Intrapatient heterogeneity is responsible...

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Autores principales: Fattore, Luigi, Ruggiero, Ciro Francesco, Liguoro, Domenico, Mancini, Rita, Ciliberto, Gennaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823362/
https://www.ncbi.nlm.nih.gov/pubmed/31672982
http://dx.doi.org/10.1038/s41419-019-2048-5
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author Fattore, Luigi
Ruggiero, Ciro Francesco
Liguoro, Domenico
Mancini, Rita
Ciliberto, Gennaro
author_facet Fattore, Luigi
Ruggiero, Ciro Francesco
Liguoro, Domenico
Mancini, Rita
Ciliberto, Gennaro
author_sort Fattore, Luigi
collection PubMed
description Originally described as interpatient variability, tumour heterogeneity has now been demonstrated to occur intrapatiently, within the same lesion, or in different lesions of the same patient. Tumour heterogeneity involves both genetic and epigenetic changes. Intrapatient heterogeneity is responsible for generating subpopulations of cancer cells which undergo clonal evolution with time. Tumour heterogeneity develops also as a consequence of the selective pressure imposed by the immune system. It has been demonstrated that tumour heterogeneity and different spatiotemporal interactions between all the cellular compontents within the tumour microenvironment lead to cancer adaptation and to therapeutic pressure. In this context, the recent advent of single cell analysis approaches which are able to better study tumour heterogeneity from the genomic, transcriptomic and proteomic standpoint represent a major technological breakthrough. In this review, using metastatic melanoma as a prototypical example, we will focus on applying single cell analyses to the study of clonal trajectories which guide the evolution of drug resistance to targeted therapy.
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spelling pubmed-68233622019-11-01 Single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma Fattore, Luigi Ruggiero, Ciro Francesco Liguoro, Domenico Mancini, Rita Ciliberto, Gennaro Cell Death Dis Review Article Originally described as interpatient variability, tumour heterogeneity has now been demonstrated to occur intrapatiently, within the same lesion, or in different lesions of the same patient. Tumour heterogeneity involves both genetic and epigenetic changes. Intrapatient heterogeneity is responsible for generating subpopulations of cancer cells which undergo clonal evolution with time. Tumour heterogeneity develops also as a consequence of the selective pressure imposed by the immune system. It has been demonstrated that tumour heterogeneity and different spatiotemporal interactions between all the cellular compontents within the tumour microenvironment lead to cancer adaptation and to therapeutic pressure. In this context, the recent advent of single cell analysis approaches which are able to better study tumour heterogeneity from the genomic, transcriptomic and proteomic standpoint represent a major technological breakthrough. In this review, using metastatic melanoma as a prototypical example, we will focus on applying single cell analyses to the study of clonal trajectories which guide the evolution of drug resistance to targeted therapy. Nature Publishing Group UK 2019-10-31 /pmc/articles/PMC6823362/ /pubmed/31672982 http://dx.doi.org/10.1038/s41419-019-2048-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Review Article
Fattore, Luigi
Ruggiero, Ciro Francesco
Liguoro, Domenico
Mancini, Rita
Ciliberto, Gennaro
Single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma
title Single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma
title_full Single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma
title_fullStr Single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma
title_full_unstemmed Single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma
title_short Single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma
title_sort single cell analysis to dissect molecular heterogeneity and disease evolution in metastatic melanoma
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823362/
https://www.ncbi.nlm.nih.gov/pubmed/31672982
http://dx.doi.org/10.1038/s41419-019-2048-5
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