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Spatial genomics maps the structure, nature and evolution of cancer clones
Genome sequencing of cancers often reveals mosaics of different subclones present in the same tumour(1–3). Although these are believed to arise according to the principles of somatic evolution, the exact spatial growth patterns and underlying mechanisms remain elusive(4,5). Here, to address this nee...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668746/ https://www.ncbi.nlm.nih.gov/pubmed/36352222 http://dx.doi.org/10.1038/s41586-022-05425-2 |
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author | Lomakin, Artem Svedlund, Jessica Strell, Carina Gataric, Milana Shmatko, Artem Rukhovich, Gleb Park, Jun Sung Ju, Young Seok Dentro, Stefan Kleshchevnikov, Vitalii Vaskivskyi, Vasyl Li, Tong Bayraktar, Omer Ali Pinder, Sarah Richardson, Andrea L. Santagata, Sandro Campbell, Peter J. Russnes, Hege Gerstung, Moritz Nilsson, Mats Yates, Lucy R. |
author_facet | Lomakin, Artem Svedlund, Jessica Strell, Carina Gataric, Milana Shmatko, Artem Rukhovich, Gleb Park, Jun Sung Ju, Young Seok Dentro, Stefan Kleshchevnikov, Vitalii Vaskivskyi, Vasyl Li, Tong Bayraktar, Omer Ali Pinder, Sarah Richardson, Andrea L. Santagata, Sandro Campbell, Peter J. Russnes, Hege Gerstung, Moritz Nilsson, Mats Yates, Lucy R. |
author_sort | Lomakin, Artem |
collection | PubMed |
description | Genome sequencing of cancers often reveals mosaics of different subclones present in the same tumour(1–3). Although these are believed to arise according to the principles of somatic evolution, the exact spatial growth patterns and underlying mechanisms remain elusive(4,5). Here, to address this need, we developed a workflow that generates detailed quantitative maps of genetic subclone composition across whole-tumour sections. These provide the basis for studying clonal growth patterns, and the histological characteristics, microanatomy and microenvironmental composition of each clone. The approach rests on whole-genome sequencing, followed by highly multiplexed base-specific in situ sequencing, single-cell resolved transcriptomics and dedicated algorithms to link these layers. Applying the base-specific in situ sequencing workflow to eight tissue sections from two multifocal primary breast cancers revealed intricate subclonal growth patterns that were validated by microdissection. In a case of ductal carcinoma in situ, polyclonal neoplastic expansions occurred at the macroscopic scale but segregated within microanatomical structures. Across the stages of ductal carcinoma in situ, invasive cancer and lymph node metastasis, subclone territories are shown to exhibit distinct transcriptional and histological features and cellular microenvironments. These results provide examples of the benefits afforded by spatial genomics for deciphering the mechanisms underlying cancer evolution and microenvironmental ecology. |
format | Online Article Text |
id | pubmed-9668746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96687462022-11-18 Spatial genomics maps the structure, nature and evolution of cancer clones Lomakin, Artem Svedlund, Jessica Strell, Carina Gataric, Milana Shmatko, Artem Rukhovich, Gleb Park, Jun Sung Ju, Young Seok Dentro, Stefan Kleshchevnikov, Vitalii Vaskivskyi, Vasyl Li, Tong Bayraktar, Omer Ali Pinder, Sarah Richardson, Andrea L. Santagata, Sandro Campbell, Peter J. Russnes, Hege Gerstung, Moritz Nilsson, Mats Yates, Lucy R. Nature Article Genome sequencing of cancers often reveals mosaics of different subclones present in the same tumour(1–3). Although these are believed to arise according to the principles of somatic evolution, the exact spatial growth patterns and underlying mechanisms remain elusive(4,5). Here, to address this need, we developed a workflow that generates detailed quantitative maps of genetic subclone composition across whole-tumour sections. These provide the basis for studying clonal growth patterns, and the histological characteristics, microanatomy and microenvironmental composition of each clone. The approach rests on whole-genome sequencing, followed by highly multiplexed base-specific in situ sequencing, single-cell resolved transcriptomics and dedicated algorithms to link these layers. Applying the base-specific in situ sequencing workflow to eight tissue sections from two multifocal primary breast cancers revealed intricate subclonal growth patterns that were validated by microdissection. In a case of ductal carcinoma in situ, polyclonal neoplastic expansions occurred at the macroscopic scale but segregated within microanatomical structures. Across the stages of ductal carcinoma in situ, invasive cancer and lymph node metastasis, subclone territories are shown to exhibit distinct transcriptional and histological features and cellular microenvironments. These results provide examples of the benefits afforded by spatial genomics for deciphering the mechanisms underlying cancer evolution and microenvironmental ecology. Nature Publishing Group UK 2022-11-09 2022 /pmc/articles/PMC9668746/ /pubmed/36352222 http://dx.doi.org/10.1038/s41586-022-05425-2 Text en © The Author(s) 2022 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 Lomakin, Artem Svedlund, Jessica Strell, Carina Gataric, Milana Shmatko, Artem Rukhovich, Gleb Park, Jun Sung Ju, Young Seok Dentro, Stefan Kleshchevnikov, Vitalii Vaskivskyi, Vasyl Li, Tong Bayraktar, Omer Ali Pinder, Sarah Richardson, Andrea L. Santagata, Sandro Campbell, Peter J. Russnes, Hege Gerstung, Moritz Nilsson, Mats Yates, Lucy R. Spatial genomics maps the structure, nature and evolution of cancer clones |
title | Spatial genomics maps the structure, nature and evolution of cancer clones |
title_full | Spatial genomics maps the structure, nature and evolution of cancer clones |
title_fullStr | Spatial genomics maps the structure, nature and evolution of cancer clones |
title_full_unstemmed | Spatial genomics maps the structure, nature and evolution of cancer clones |
title_short | Spatial genomics maps the structure, nature and evolution of cancer clones |
title_sort | spatial genomics maps the structure, nature and evolution of cancer clones |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668746/ https://www.ncbi.nlm.nih.gov/pubmed/36352222 http://dx.doi.org/10.1038/s41586-022-05425-2 |
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