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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...

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Published in:Nature (London) 2022-11, Vol.611 (7936), p.594-602
Main Authors: 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.
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cited_by cdi_FETCH-LOGICAL-c638t-17878d5fef78f12a252c006ca5a7fa9d6a33045c545c4819143e8e8d8e5e3a63
cites cdi_FETCH-LOGICAL-c638t-17878d5fef78f12a252c006ca5a7fa9d6a33045c545c4819143e8e8d8e5e3a63
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container_issue 7936
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container_title Nature (London)
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creator 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.
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. A workflow centred around base-specific in situ sequencing generates detailed maps of, and can phenotypically characterize, the unique set of subclones of cancers.
doi_str_mv 10.1038/s41586-022-05425-2
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Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>ProQuest Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Genetics Abstracts</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>NORA - Norwegian Open Research Archives</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SWEPUB Stockholms universitet full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Stockholms universitet</collection><collection>SwePub Articles full text</collection><collection>SWEPUB Uppsala universitet full text</collection><collection>SWEPUB Uppsala universitet</collection><jtitle>Nature (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lomakin, Artem</au><au>Svedlund, Jessica</au><au>Strell, Carina</au><au>Gataric, Milana</au><au>Shmatko, Artem</au><au>Rukhovich, Gleb</au><au>Park, Jun Sung</au><au>Ju, Young Seok</au><au>Dentro, Stefan</au><au>Kleshchevnikov, Vitalii</au><au>Vaskivskyi, Vasyl</au><au>Li, Tong</au><au>Bayraktar, Omer Ali</au><au>Pinder, Sarah</au><au>Richardson, Andrea L.</au><au>Santagata, Sandro</au><au>Campbell, Peter J.</au><au>Russnes, Hege</au><au>Gerstung, Moritz</au><au>Nilsson, Mats</au><au>Yates, Lucy R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial genomics maps the structure, nature and evolution of cancer clones</atitle><jtitle>Nature (London)</jtitle><stitle>Nature</stitle><addtitle>Nature</addtitle><date>2022-11-17</date><risdate>2022</risdate><volume>611</volume><issue>7936</issue><spage>594</spage><epage>602</epage><pages>594-602</pages><issn>0028-0836</issn><issn>1476-4687</issn><eissn>1476-4687</eissn><abstract>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. A workflow centred around base-specific in situ sequencing generates detailed maps of, and can phenotypically characterize, the unique set of subclones of cancers.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>36352222</pmid><doi>10.1038/s41586-022-05425-2</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-4080-4965</orcidid><orcidid>https://orcid.org/0000-0001-5221-1094</orcidid><orcidid>https://orcid.org/0000-0003-4519-7794</orcidid><orcidid>https://orcid.org/0000-0002-5514-4189</orcidid><orcidid>https://orcid.org/0000-0002-8240-4476</orcidid><orcidid>https://orcid.org/0000-0002-3921-0510</orcidid><orcidid>https://orcid.org/0000-0001-7149-6769</orcidid><orcidid>https://orcid.org/0000-0001-6055-277X</orcidid><orcidid>https://orcid.org/0000-0003-4167-8910</orcidid><orcidid>https://orcid.org/0000-0002-2184-0856</orcidid><orcidid>https://orcid.org/0000-0001-9985-0387</orcidid><orcidid>https://orcid.org/0000-0002-0478-9729</orcidid><orcidid>https://orcid.org/0000-0001-6709-963X</orcidid><orcidid>https://orcid.org/0000-0002-6568-9668</orcidid><orcidid>https://orcid.org/0000-0002-7528-9668</orcidid><oa>free_for_read</oa></addata></record>
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1476-4687
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source Nature_系列刊; NORA - Norwegian Open Research Archives
subjects 13/1
14/32
45/23
45/91
631/114/1305
631/114/2397
631/208/69
631/67/1347
631/67/69
Algorithms
Breast cancer
Breast Neoplasms - genetics
Breast Neoplasms - pathology
Cancer
Carcinoma, Intraductal, Noninfiltrating - genetics
Carcinoma, Intraductal, Noninfiltrating - pathology
Clonal Evolution - genetics
Clone Cells - metabolism
Clone Cells - pathology
Cloning
Composition
Ecology
Evolution
Experiments
Female
Gene expression
Gene mapping
Gene sequencing
Genomes
Genomics
Genotype & phenotype
Growth patterns
Humanities and Social Sciences
Humans
Lymph nodes
Lymphatic system
Metastases
Microdissection
Microenvironments
Mosaics
multidisciplinary
Mutation
Phylogenetics
Reproducibility of Results
Science
Science (multidisciplinary)
Transcriptome
Transcriptomics
Tumor Microenvironment - genetics
Tumors
Whole Genome Sequencing
Workflow
title Spatial genomics maps the structure, nature and evolution of cancer clones
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