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Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia
Chronic lymphocytic leukaemia is the most prevalent leukaemia in Western countries. It is an incurable disease characterized by a highly variable clinical course. Chronic lymphocytic leukaemia is an ideal model for studying clonal heterogeneity and dynamics during cancer progression, response to the...
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/PMC6353992/ https://www.ncbi.nlm.nih.gov/pubmed/30700761 http://dx.doi.org/10.1038/s41598-018-37389-7 |
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author | González-Rincón, Julia Gómez, Sagrario Martinez, Nerea Troulé, Kevin Perales-Patón, Javier Derdak, Sophia Beltrán, Sergi Fernández-Cuevas, Belén Pérez-Sanz, Nuria Nova-Gurumeta, Sara Gut, Ivo Al-Shahrour, Fátima Piris, Miguel A. García-Marco, José A. Sánchez-Beato, Margarita |
author_facet | González-Rincón, Julia Gómez, Sagrario Martinez, Nerea Troulé, Kevin Perales-Patón, Javier Derdak, Sophia Beltrán, Sergi Fernández-Cuevas, Belén Pérez-Sanz, Nuria Nova-Gurumeta, Sara Gut, Ivo Al-Shahrour, Fátima Piris, Miguel A. García-Marco, José A. Sánchez-Beato, Margarita |
author_sort | González-Rincón, Julia |
collection | PubMed |
description | Chronic lymphocytic leukaemia is the most prevalent leukaemia in Western countries. It is an incurable disease characterized by a highly variable clinical course. Chronic lymphocytic leukaemia is an ideal model for studying clonal heterogeneity and dynamics during cancer progression, response to therapy and/or relapse because the disease usually develops over several years. Here we report an analysis by deep sequencing of sequential samples taken at different times from the affected organs of two patients with 12- and 7-year disease courses, respectively. One of the patients followed a linear pattern of clonal evolution, acquiring and selecting new mutations in response to salvage therapy and/or allogeneic transplantation, while the other suffered loss of cellular tumoral clones during progression and histological transformation. |
format | Online Article Text |
id | pubmed-6353992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63539922019-02-01 Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia González-Rincón, Julia Gómez, Sagrario Martinez, Nerea Troulé, Kevin Perales-Patón, Javier Derdak, Sophia Beltrán, Sergi Fernández-Cuevas, Belén Pérez-Sanz, Nuria Nova-Gurumeta, Sara Gut, Ivo Al-Shahrour, Fátima Piris, Miguel A. García-Marco, José A. Sánchez-Beato, Margarita Sci Rep Article Chronic lymphocytic leukaemia is the most prevalent leukaemia in Western countries. It is an incurable disease characterized by a highly variable clinical course. Chronic lymphocytic leukaemia is an ideal model for studying clonal heterogeneity and dynamics during cancer progression, response to therapy and/or relapse because the disease usually develops over several years. Here we report an analysis by deep sequencing of sequential samples taken at different times from the affected organs of two patients with 12- and 7-year disease courses, respectively. One of the patients followed a linear pattern of clonal evolution, acquiring and selecting new mutations in response to salvage therapy and/or allogeneic transplantation, while the other suffered loss of cellular tumoral clones during progression and histological transformation. Nature Publishing Group UK 2019-01-30 /pmc/articles/PMC6353992/ /pubmed/30700761 http://dx.doi.org/10.1038/s41598-018-37389-7 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 | Article González-Rincón, Julia Gómez, Sagrario Martinez, Nerea Troulé, Kevin Perales-Patón, Javier Derdak, Sophia Beltrán, Sergi Fernández-Cuevas, Belén Pérez-Sanz, Nuria Nova-Gurumeta, Sara Gut, Ivo Al-Shahrour, Fátima Piris, Miguel A. García-Marco, José A. Sánchez-Beato, Margarita Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia |
title | Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia |
title_full | Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia |
title_fullStr | Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia |
title_full_unstemmed | Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia |
title_short | Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia |
title_sort | clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353992/ https://www.ncbi.nlm.nih.gov/pubmed/30700761 http://dx.doi.org/10.1038/s41598-018-37389-7 |
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