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An enhanced genetic model of relapsed IGH-translocated multiple myeloma evolutionary dynamics
Most patients with multiple myeloma (MM) die from progressive disease after relapse. To advance our understanding of MM evolution mechanisms, we performed whole-genome sequencing of 80 IGH-translocated tumour-normal newly diagnosed pairs and 24 matched relapsed tumours from the Myeloma XI trial. We...
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/PMC7560599/ https://www.ncbi.nlm.nih.gov/pubmed/33057009 http://dx.doi.org/10.1038/s41408-020-00367-2 |
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author | Hoang, Phuc H. Cornish, Alex J. Sherborne, Amy L. Chubb, Daniel Kimber, Scott Jackson, Graham Morgan, Gareth J. Cook, Gordon Kinnersley, Ben Kaiser, Martin Houlston, Richard S. |
author_facet | Hoang, Phuc H. Cornish, Alex J. Sherborne, Amy L. Chubb, Daniel Kimber, Scott Jackson, Graham Morgan, Gareth J. Cook, Gordon Kinnersley, Ben Kaiser, Martin Houlston, Richard S. |
author_sort | Hoang, Phuc H. |
collection | PubMed |
description | Most patients with multiple myeloma (MM) die from progressive disease after relapse. To advance our understanding of MM evolution mechanisms, we performed whole-genome sequencing of 80 IGH-translocated tumour-normal newly diagnosed pairs and 24 matched relapsed tumours from the Myeloma XI trial. We identify multiple events as potentially important for survival and therapy-resistance at relapse including driver point mutations (e.g., TET2), translocations (MAP3K14), lengthened telomeres, and increased genomic instability (e.g., 17p deletions). Despite heterogeneous mutational processes contributing to relapsed mutations across MM subtypes, increased AID/APOBEC activity is particularly associated with shorter progression time to relapse, and contributes to higher mutational burden at relapse. In addition, we identify three enhanced major clonal evolution patterns of MM relapse, independent of treatment strategies and molecular karyotypes, questioning the viability of “evolutionary herding” approach in treating drug-resistant MM. Our data show that MM relapse is associated with acquisition of new mutations and clonal selection, and suggest APOBEC enzymes among potential targets for therapy-resistant MM. |
format | Online Article Text |
id | pubmed-7560599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75605992020-10-19 An enhanced genetic model of relapsed IGH-translocated multiple myeloma evolutionary dynamics Hoang, Phuc H. Cornish, Alex J. Sherborne, Amy L. Chubb, Daniel Kimber, Scott Jackson, Graham Morgan, Gareth J. Cook, Gordon Kinnersley, Ben Kaiser, Martin Houlston, Richard S. Blood Cancer J Article Most patients with multiple myeloma (MM) die from progressive disease after relapse. To advance our understanding of MM evolution mechanisms, we performed whole-genome sequencing of 80 IGH-translocated tumour-normal newly diagnosed pairs and 24 matched relapsed tumours from the Myeloma XI trial. We identify multiple events as potentially important for survival and therapy-resistance at relapse including driver point mutations (e.g., TET2), translocations (MAP3K14), lengthened telomeres, and increased genomic instability (e.g., 17p deletions). Despite heterogeneous mutational processes contributing to relapsed mutations across MM subtypes, increased AID/APOBEC activity is particularly associated with shorter progression time to relapse, and contributes to higher mutational burden at relapse. In addition, we identify three enhanced major clonal evolution patterns of MM relapse, independent of treatment strategies and molecular karyotypes, questioning the viability of “evolutionary herding” approach in treating drug-resistant MM. Our data show that MM relapse is associated with acquisition of new mutations and clonal selection, and suggest APOBEC enzymes among potential targets for therapy-resistant MM. Nature Publishing Group UK 2020-10-14 /pmc/articles/PMC7560599/ /pubmed/33057009 http://dx.doi.org/10.1038/s41408-020-00367-2 Text en © The Author(s) 2020 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 Hoang, Phuc H. Cornish, Alex J. Sherborne, Amy L. Chubb, Daniel Kimber, Scott Jackson, Graham Morgan, Gareth J. Cook, Gordon Kinnersley, Ben Kaiser, Martin Houlston, Richard S. An enhanced genetic model of relapsed IGH-translocated multiple myeloma evolutionary dynamics |
title | An enhanced genetic model of relapsed IGH-translocated multiple myeloma evolutionary dynamics |
title_full | An enhanced genetic model of relapsed IGH-translocated multiple myeloma evolutionary dynamics |
title_fullStr | An enhanced genetic model of relapsed IGH-translocated multiple myeloma evolutionary dynamics |
title_full_unstemmed | An enhanced genetic model of relapsed IGH-translocated multiple myeloma evolutionary dynamics |
title_short | An enhanced genetic model of relapsed IGH-translocated multiple myeloma evolutionary dynamics |
title_sort | enhanced genetic model of relapsed igh-translocated multiple myeloma evolutionary dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560599/ https://www.ncbi.nlm.nih.gov/pubmed/33057009 http://dx.doi.org/10.1038/s41408-020-00367-2 |
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