High-density sampling reveals volume growth in human tumours
In growing cell populations such as tumours, mutations can serve as markers that allow tracking the past evolution from current samples. The genomic analyses of bulk samples and samples from multiple regions have shed light on the evolutionary forces acting on tumours. However, little is known empir...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2024-11-01
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| Series: | eLife |
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| Online Access: | https://elifesciences.org/articles/95338 |
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| _version_ | 1846156339154255872 |
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| author | Arman Angaji Michel Owusu Christoph Velling Nicola Dick Donate Weghorn Johannes Berg |
| author_facet | Arman Angaji Michel Owusu Christoph Velling Nicola Dick Donate Weghorn Johannes Berg |
| author_sort | Arman Angaji |
| collection | DOAJ |
| description | In growing cell populations such as tumours, mutations can serve as markers that allow tracking the past evolution from current samples. The genomic analyses of bulk samples and samples from multiple regions have shed light on the evolutionary forces acting on tumours. However, little is known empirically on the spatio-temporal dynamics of tumour evolution. Here, we leverage published data from resected hepatocellular carcinomas, each with several hundred samples taken in two and three dimensions. Using spatial metrics of evolution, we find that tumour cells grow predominantly uniformly within the tumour volume instead of at the surface. We determine how mutations and cells are dispersed throughout the tumour and how cell death contributes to the overall tumour growth. Our methods shed light on the early evolution of tumours in vivo and can be applied to high-resolution data in the emerging field of spatial biology. |
| format | Article |
| id | doaj-art-ac5734ebe7a140aa8fb7d965a3a7ac93 |
| institution | Kabale University |
| issn | 2050-084X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj-art-ac5734ebe7a140aa8fb7d965a3a7ac932024-11-26T07:30:35ZengeLife Sciences Publications LtdeLife2050-084X2024-11-011310.7554/eLife.95338High-density sampling reveals volume growth in human tumoursArman Angaji0Michel Owusu1Christoph Velling2Nicola Dick3Donate Weghorn4https://orcid.org/0000-0001-7722-8618Johannes Berg5https://orcid.org/0000-0001-6569-3061Institute for Biological Physics, University of Cologne, Cologne, GermanyCentre for Genomic Regulation, Barcelona, SpainInstitute for Biological Physics, University of Cologne, Cologne, GermanyCentre for Genomic Regulation, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, SpainCentre for Genomic Regulation, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, SpainInstitute for Biological Physics, University of Cologne, Cologne, GermanyIn growing cell populations such as tumours, mutations can serve as markers that allow tracking the past evolution from current samples. The genomic analyses of bulk samples and samples from multiple regions have shed light on the evolutionary forces acting on tumours. However, little is known empirically on the spatio-temporal dynamics of tumour evolution. Here, we leverage published data from resected hepatocellular carcinomas, each with several hundred samples taken in two and three dimensions. Using spatial metrics of evolution, we find that tumour cells grow predominantly uniformly within the tumour volume instead of at the surface. We determine how mutations and cells are dispersed throughout the tumour and how cell death contributes to the overall tumour growth. Our methods shed light on the early evolution of tumours in vivo and can be applied to high-resolution data in the emerging field of spatial biology.https://elifesciences.org/articles/95338tumour samplesmulti-region tumour samplesspatial genomics |
| spellingShingle | Arman Angaji Michel Owusu Christoph Velling Nicola Dick Donate Weghorn Johannes Berg High-density sampling reveals volume growth in human tumours eLife tumour samples multi-region tumour samples spatial genomics |
| title | High-density sampling reveals volume growth in human tumours |
| title_full | High-density sampling reveals volume growth in human tumours |
| title_fullStr | High-density sampling reveals volume growth in human tumours |
| title_full_unstemmed | High-density sampling reveals volume growth in human tumours |
| title_short | High-density sampling reveals volume growth in human tumours |
| title_sort | high density sampling reveals volume growth in human tumours |
| topic | tumour samples multi-region tumour samples spatial genomics |
| url | https://elifesciences.org/articles/95338 |
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