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Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study
Genetic intra-tumour heterogeneity fuels clonal evolution, but our understanding of clinically relevant clonal dynamics remain limited. We investigated spatial and temporal features of clonal diversification in clear cell renal cell carcinoma through a combination of modelling and real tumour analys...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752443/ https://www.ncbi.nlm.nih.gov/pubmed/34949820 http://dx.doi.org/10.1038/s41559-021-01586-x |
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author | Fu, Xiao Zhao, Yue Lopez, Jose I. Rowan, Andrew Au, Lewis Fendler, Annika Hazell, Steve Xu, Hang Horswell, Stuart Shepherd, Scott T. C. Spencer, Charlotte E. Spain, Lavinia Byrne, Fiona Stamp, Gordon O’Brien, Tim Nicol, David Augustine, Marcellus Chandra, Ashish Rudman, Sarah Toncheva, Antonia Furness, Andrew J. S. Pickering, Lisa Kumar, Santosh Koh, Dow-Mu Messiou, Christina Dafydd, Derfel ap Orton, Matthew R. Doran, Simon J. Larkin, James Swanton, Charles Sahai, Erik Litchfield, Kevin Turajlic, Samra Bates, Paul A. |
author_facet | Fu, Xiao Zhao, Yue Lopez, Jose I. Rowan, Andrew Au, Lewis Fendler, Annika Hazell, Steve Xu, Hang Horswell, Stuart Shepherd, Scott T. C. Spencer, Charlotte E. Spain, Lavinia Byrne, Fiona Stamp, Gordon O’Brien, Tim Nicol, David Augustine, Marcellus Chandra, Ashish Rudman, Sarah Toncheva, Antonia Furness, Andrew J. S. Pickering, Lisa Kumar, Santosh Koh, Dow-Mu Messiou, Christina Dafydd, Derfel ap Orton, Matthew R. Doran, Simon J. Larkin, James Swanton, Charles Sahai, Erik Litchfield, Kevin Turajlic, Samra Bates, Paul A. |
author_sort | Fu, Xiao |
collection | PubMed |
description | Genetic intra-tumour heterogeneity fuels clonal evolution, but our understanding of clinically relevant clonal dynamics remain limited. We investigated spatial and temporal features of clonal diversification in clear cell renal cell carcinoma through a combination of modelling and real tumour analysis. We observe that the mode of tumour growth, surface or volume, impacts the extent of subclonal diversification, enabling interpretation of clonal diversity in patient tumours. Specific patterns of proliferation and necrosis explain clonal expansion and emergence of parallel evolution and microdiversity in tumours. In silico time-course studies reveal the appearance of budding structures before detectable subclonal diversification. Intriguingly, we observe radiological evidence of budding structures in early-stage clear cell renal cell carcinoma, indicating that future clonal evolution may be predictable from imaging. Our findings offer a window into the temporal and spatial features of clinically relevant clonal evolution. |
format | Online Article Text |
id | pubmed-8752443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87524432022-01-17 Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study Fu, Xiao Zhao, Yue Lopez, Jose I. Rowan, Andrew Au, Lewis Fendler, Annika Hazell, Steve Xu, Hang Horswell, Stuart Shepherd, Scott T. C. Spencer, Charlotte E. Spain, Lavinia Byrne, Fiona Stamp, Gordon O’Brien, Tim Nicol, David Augustine, Marcellus Chandra, Ashish Rudman, Sarah Toncheva, Antonia Furness, Andrew J. S. Pickering, Lisa Kumar, Santosh Koh, Dow-Mu Messiou, Christina Dafydd, Derfel ap Orton, Matthew R. Doran, Simon J. Larkin, James Swanton, Charles Sahai, Erik Litchfield, Kevin Turajlic, Samra Bates, Paul A. Nat Ecol Evol Article Genetic intra-tumour heterogeneity fuels clonal evolution, but our understanding of clinically relevant clonal dynamics remain limited. We investigated spatial and temporal features of clonal diversification in clear cell renal cell carcinoma through a combination of modelling and real tumour analysis. We observe that the mode of tumour growth, surface or volume, impacts the extent of subclonal diversification, enabling interpretation of clonal diversity in patient tumours. Specific patterns of proliferation and necrosis explain clonal expansion and emergence of parallel evolution and microdiversity in tumours. In silico time-course studies reveal the appearance of budding structures before detectable subclonal diversification. Intriguingly, we observe radiological evidence of budding structures in early-stage clear cell renal cell carcinoma, indicating that future clonal evolution may be predictable from imaging. Our findings offer a window into the temporal and spatial features of clinically relevant clonal evolution. Nature Publishing Group UK 2021-12-23 2022 /pmc/articles/PMC8752443/ /pubmed/34949820 http://dx.doi.org/10.1038/s41559-021-01586-x Text en © The Author(s) 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 Fu, Xiao Zhao, Yue Lopez, Jose I. Rowan, Andrew Au, Lewis Fendler, Annika Hazell, Steve Xu, Hang Horswell, Stuart Shepherd, Scott T. C. Spencer, Charlotte E. Spain, Lavinia Byrne, Fiona Stamp, Gordon O’Brien, Tim Nicol, David Augustine, Marcellus Chandra, Ashish Rudman, Sarah Toncheva, Antonia Furness, Andrew J. S. Pickering, Lisa Kumar, Santosh Koh, Dow-Mu Messiou, Christina Dafydd, Derfel ap Orton, Matthew R. Doran, Simon J. Larkin, James Swanton, Charles Sahai, Erik Litchfield, Kevin Turajlic, Samra Bates, Paul A. Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study |
title | Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study |
title_full | Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study |
title_fullStr | Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study |
title_full_unstemmed | Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study |
title_short | Spatial patterns of tumour growth impact clonal diversification in a computational model and the TRACERx Renal study |
title_sort | spatial patterns of tumour growth impact clonal diversification in a computational model and the tracerx renal study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752443/ https://www.ncbi.nlm.nih.gov/pubmed/34949820 http://dx.doi.org/10.1038/s41559-021-01586-x |
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