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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6823362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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