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Pan-cancer whole-genome analyses of metastatic solid tumours
Metastatic cancer is a major cause of death and is associated with poor treatment efficacy. A better understanding of the characteristics of late-stage cancer is required to help adapt personalized treatments, reduce overtreatment and improve outcomes. Here we describe the largest, to our knowledge,...
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/PMC6872491/ https://www.ncbi.nlm.nih.gov/pubmed/31645765 http://dx.doi.org/10.1038/s41586-019-1689-y |
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author | Priestley, Peter Baber, Jonathan Lolkema, Martijn P. Steeghs, Neeltje de Bruijn, Ewart Shale, Charles Duyvesteyn, Korneel Haidari, Susan van Hoeck, Arne Onstenk, Wendy Roepman, Paul Voda, Mircea Bloemendal, Haiko J. Tjan-Heijnen, Vivianne C. G. van Herpen, Carla M. L. Labots, Mariette Witteveen, Petronella O. Smit, Egbert F. Sleijfer, Stefan Voest, Emile E. Cuppen, Edwin |
author_facet | Priestley, Peter Baber, Jonathan Lolkema, Martijn P. Steeghs, Neeltje de Bruijn, Ewart Shale, Charles Duyvesteyn, Korneel Haidari, Susan van Hoeck, Arne Onstenk, Wendy Roepman, Paul Voda, Mircea Bloemendal, Haiko J. Tjan-Heijnen, Vivianne C. G. van Herpen, Carla M. L. Labots, Mariette Witteveen, Petronella O. Smit, Egbert F. Sleijfer, Stefan Voest, Emile E. Cuppen, Edwin |
author_sort | Priestley, Peter |
collection | PubMed |
description | Metastatic cancer is a major cause of death and is associated with poor treatment efficacy. A better understanding of the characteristics of late-stage cancer is required to help adapt personalized treatments, reduce overtreatment and improve outcomes. Here we describe the largest, to our knowledge, pan-cancer study of metastatic solid tumour genomes, including whole-genome sequencing data for 2,520 pairs of tumour and normal tissue, analysed at median depths of 106× and 38×, respectively, and surveying more than 70 million somatic variants. The characteristic mutations of metastatic lesions varied widely, with mutations that reflect those of the primary tumour types, and with high rates of whole-genome duplication events (56%). Individual metastatic lesions were relatively homogeneous, with the vast majority (96%) of driver mutations being clonal and up to 80% of tumour-suppressor genes being inactivated bi-allelically by different mutational mechanisms. Although metastatic tumour genomes showed similar mutational landscape and driver genes to primary tumours, we find characteristics that could contribute to responsiveness to therapy or resistance in individual patients. We implement an approach for the review of clinically relevant associations and their potential for actionability. For 62% of patients, we identify genetic variants that may be used to stratify patients towards therapies that either have been approved or are in clinical trials. This demonstrates the importance of comprehensive genomic tumour profiling for precision medicine in cancer. |
format | Online Article Text |
id | pubmed-6872491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68724912019-11-25 Pan-cancer whole-genome analyses of metastatic solid tumours Priestley, Peter Baber, Jonathan Lolkema, Martijn P. Steeghs, Neeltje de Bruijn, Ewart Shale, Charles Duyvesteyn, Korneel Haidari, Susan van Hoeck, Arne Onstenk, Wendy Roepman, Paul Voda, Mircea Bloemendal, Haiko J. Tjan-Heijnen, Vivianne C. G. van Herpen, Carla M. L. Labots, Mariette Witteveen, Petronella O. Smit, Egbert F. Sleijfer, Stefan Voest, Emile E. Cuppen, Edwin Nature Article Metastatic cancer is a major cause of death and is associated with poor treatment efficacy. A better understanding of the characteristics of late-stage cancer is required to help adapt personalized treatments, reduce overtreatment and improve outcomes. Here we describe the largest, to our knowledge, pan-cancer study of metastatic solid tumour genomes, including whole-genome sequencing data for 2,520 pairs of tumour and normal tissue, analysed at median depths of 106× and 38×, respectively, and surveying more than 70 million somatic variants. The characteristic mutations of metastatic lesions varied widely, with mutations that reflect those of the primary tumour types, and with high rates of whole-genome duplication events (56%). Individual metastatic lesions were relatively homogeneous, with the vast majority (96%) of driver mutations being clonal and up to 80% of tumour-suppressor genes being inactivated bi-allelically by different mutational mechanisms. Although metastatic tumour genomes showed similar mutational landscape and driver genes to primary tumours, we find characteristics that could contribute to responsiveness to therapy or resistance in individual patients. We implement an approach for the review of clinically relevant associations and their potential for actionability. For 62% of patients, we identify genetic variants that may be used to stratify patients towards therapies that either have been approved or are in clinical trials. This demonstrates the importance of comprehensive genomic tumour profiling for precision medicine in cancer. Nature Publishing Group UK 2019-10-23 2019 /pmc/articles/PMC6872491/ /pubmed/31645765 http://dx.doi.org/10.1038/s41586-019-1689-y 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 Priestley, Peter Baber, Jonathan Lolkema, Martijn P. Steeghs, Neeltje de Bruijn, Ewart Shale, Charles Duyvesteyn, Korneel Haidari, Susan van Hoeck, Arne Onstenk, Wendy Roepman, Paul Voda, Mircea Bloemendal, Haiko J. Tjan-Heijnen, Vivianne C. G. van Herpen, Carla M. L. Labots, Mariette Witteveen, Petronella O. Smit, Egbert F. Sleijfer, Stefan Voest, Emile E. Cuppen, Edwin Pan-cancer whole-genome analyses of metastatic solid tumours |
title | Pan-cancer whole-genome analyses of metastatic solid tumours |
title_full | Pan-cancer whole-genome analyses of metastatic solid tumours |
title_fullStr | Pan-cancer whole-genome analyses of metastatic solid tumours |
title_full_unstemmed | Pan-cancer whole-genome analyses of metastatic solid tumours |
title_short | Pan-cancer whole-genome analyses of metastatic solid tumours |
title_sort | pan-cancer whole-genome analyses of metastatic solid tumours |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6872491/ https://www.ncbi.nlm.nih.gov/pubmed/31645765 http://dx.doi.org/10.1038/s41586-019-1689-y |
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