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Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics
Clonal diversity is a consequence of cancer cell evolution driven by Darwinian selection. Precise characterization of clonal architecture is essential to understand the evolutionary history of tumor development and its association with treatment resistance. Here, using a single-cell DNA sequencing,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577981/ https://www.ncbi.nlm.nih.gov/pubmed/33087716 http://dx.doi.org/10.1038/s41467-020-19119-8 |
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author | Morita, Kiyomi Wang, Feng Jahn, Katharina Hu, Tianyuan Tanaka, Tomoyuki Sasaki, Yuya Kuipers, Jack Loghavi, Sanam Wang, Sa A. Yan, Yuanqing Furudate, Ken Matthews, Jairo Little, Latasha Gumbs, Curtis Zhang, Jianhua Song, Xingzhi Thompson, Erika Patel, Keyur P. Bueso-Ramos, Carlos E. DiNardo, Courtney D. Ravandi, Farhad Jabbour, Elias Andreeff, Michael Cortes, Jorge Bhalla, Kapil Garcia-Manero, Guillermo Kantarjian, Hagop Konopleva, Marina Nakada, Daisuke Navin, Nicholas Beerenwinkel, Niko Futreal, P. Andrew Takahashi, Koichi |
author_facet | Morita, Kiyomi Wang, Feng Jahn, Katharina Hu, Tianyuan Tanaka, Tomoyuki Sasaki, Yuya Kuipers, Jack Loghavi, Sanam Wang, Sa A. Yan, Yuanqing Furudate, Ken Matthews, Jairo Little, Latasha Gumbs, Curtis Zhang, Jianhua Song, Xingzhi Thompson, Erika Patel, Keyur P. Bueso-Ramos, Carlos E. DiNardo, Courtney D. Ravandi, Farhad Jabbour, Elias Andreeff, Michael Cortes, Jorge Bhalla, Kapil Garcia-Manero, Guillermo Kantarjian, Hagop Konopleva, Marina Nakada, Daisuke Navin, Nicholas Beerenwinkel, Niko Futreal, P. Andrew Takahashi, Koichi |
author_sort | Morita, Kiyomi |
collection | PubMed |
description | Clonal diversity is a consequence of cancer cell evolution driven by Darwinian selection. Precise characterization of clonal architecture is essential to understand the evolutionary history of tumor development and its association with treatment resistance. Here, using a single-cell DNA sequencing, we report the clonal architecture and mutational histories of 123 acute myeloid leukemia (AML) patients. The single-cell data reveals cell-level mutation co-occurrence and enables reconstruction of mutational histories characterized by linear and branching patterns of clonal evolution, with the latter including convergent evolution. Through xenotransplantion, we show leukemia initiating capabilities of individual subclones evolving in parallel. Also, by simultaneous single-cell DNA and cell surface protein analysis, we illustrate both genetic and phenotypic evolution in AML. Lastly, single-cell analysis of longitudinal samples reveals underlying evolutionary process of therapeutic resistance. Together, these data unravel clonal diversity and evolution patterns of AML, and highlight their clinical relevance in the era of precision medicine. |
format | Online Article Text |
id | pubmed-7577981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75779812020-10-29 Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics Morita, Kiyomi Wang, Feng Jahn, Katharina Hu, Tianyuan Tanaka, Tomoyuki Sasaki, Yuya Kuipers, Jack Loghavi, Sanam Wang, Sa A. Yan, Yuanqing Furudate, Ken Matthews, Jairo Little, Latasha Gumbs, Curtis Zhang, Jianhua Song, Xingzhi Thompson, Erika Patel, Keyur P. Bueso-Ramos, Carlos E. DiNardo, Courtney D. Ravandi, Farhad Jabbour, Elias Andreeff, Michael Cortes, Jorge Bhalla, Kapil Garcia-Manero, Guillermo Kantarjian, Hagop Konopleva, Marina Nakada, Daisuke Navin, Nicholas Beerenwinkel, Niko Futreal, P. Andrew Takahashi, Koichi Nat Commun Article Clonal diversity is a consequence of cancer cell evolution driven by Darwinian selection. Precise characterization of clonal architecture is essential to understand the evolutionary history of tumor development and its association with treatment resistance. Here, using a single-cell DNA sequencing, we report the clonal architecture and mutational histories of 123 acute myeloid leukemia (AML) patients. The single-cell data reveals cell-level mutation co-occurrence and enables reconstruction of mutational histories characterized by linear and branching patterns of clonal evolution, with the latter including convergent evolution. Through xenotransplantion, we show leukemia initiating capabilities of individual subclones evolving in parallel. Also, by simultaneous single-cell DNA and cell surface protein analysis, we illustrate both genetic and phenotypic evolution in AML. Lastly, single-cell analysis of longitudinal samples reveals underlying evolutionary process of therapeutic resistance. Together, these data unravel clonal diversity and evolution patterns of AML, and highlight their clinical relevance in the era of precision medicine. Nature Publishing Group UK 2020-10-21 /pmc/articles/PMC7577981/ /pubmed/33087716 http://dx.doi.org/10.1038/s41467-020-19119-8 Text en © The Author(s) 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Morita, Kiyomi Wang, Feng Jahn, Katharina Hu, Tianyuan Tanaka, Tomoyuki Sasaki, Yuya Kuipers, Jack Loghavi, Sanam Wang, Sa A. Yan, Yuanqing Furudate, Ken Matthews, Jairo Little, Latasha Gumbs, Curtis Zhang, Jianhua Song, Xingzhi Thompson, Erika Patel, Keyur P. Bueso-Ramos, Carlos E. DiNardo, Courtney D. Ravandi, Farhad Jabbour, Elias Andreeff, Michael Cortes, Jorge Bhalla, Kapil Garcia-Manero, Guillermo Kantarjian, Hagop Konopleva, Marina Nakada, Daisuke Navin, Nicholas Beerenwinkel, Niko Futreal, P. Andrew Takahashi, Koichi Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics |
title | Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics |
title_full | Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics |
title_fullStr | Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics |
title_full_unstemmed | Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics |
title_short | Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics |
title_sort | clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577981/ https://www.ncbi.nlm.nih.gov/pubmed/33087716 http://dx.doi.org/10.1038/s41467-020-19119-8 |
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