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Spatial genomics maps the structure, character and evolution of cancer clones

View ORCID ProfileArtem Lomakin, Jessica Svedlund, View ORCID ProfileCarina Strell, View ORCID ProfileMilana Gataric, View ORCID ProfileArtem Shmatko, Jun Sung Park, View ORCID ProfileYoung Seok Ju, View ORCID ProfileStefan Dentro, View ORCID ProfileVitalii Kleshchevnikov, View ORCID ProfileVasyl Vaskivskyi, Tong Li, View ORCID ProfileOmer Ali Bayraktar, View ORCID ProfileLuiza Moore, Sarah Pinder, Andrea L Richardson, Peter J Campbell, View ORCID ProfileMoritz Gerstung, View ORCID ProfileMats Nilsson, View ORCID ProfileLucy R Yates
doi: https://doi.org/10.1101/2021.04.16.439912
Artem Lomakin
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI); Hinxton, UK
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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  • ORCID record for Artem Lomakin
Jessica Svedlund
3Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University; 171 65 Solna, Sweden
4Department of Immunology Genetics, and Pathology, Uppsala University; Uppsala, Sweden
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Carina Strell
3Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University; 171 65 Solna, Sweden
4Department of Immunology Genetics, and Pathology, Uppsala University; Uppsala, Sweden
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Milana Gataric
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI); Hinxton, UK
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  • ORCID record for Milana Gataric
Artem Shmatko
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI); Hinxton, UK
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
5Moscow State University; Moscow, Russia
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Jun Sung Park
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI); Hinxton, UK
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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Young Seok Ju
6Laboratory of Cancer Genomics, GSMSE, KAIST; Daejeon, Korea
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  • ORCID record for Young Seok Ju
Stefan Dentro
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI); Hinxton, UK
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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Vitalii Kleshchevnikov
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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Vasyl Vaskivskyi
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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Tong Li
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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Omer Ali Bayraktar
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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Luiza Moore
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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Sarah Pinder
7Guys and St Thomas’ NHS Trust; London, UK
8Department of Pathology, King’s College London; London, UK
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Andrea L Richardson
9Department of Pathology, Johns Hopkins Medicine; Baltimore, MD, USA
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Peter J Campbell
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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Moritz Gerstung
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL- EBI); Hinxton, UK
10Genome Biology Unit, European Molecular Biology Laboratory; Heidelberg, Germany
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  • For correspondence: ly2@sanger.ac.uk moritz.gerstung@ebi.ac.uk mats.nilsson@scilifelab.se
Mats Nilsson
3Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University; 171 65 Solna, Sweden
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  • For correspondence: ly2@sanger.ac.uk moritz.gerstung@ebi.ac.uk mats.nilsson@scilifelab.se
Lucy R Yates
2Wellcome Sanger Institute; Cambridge, UK, CB10 1SA
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  • ORCID record for Lucy R Yates
  • For correspondence: ly2@sanger.ac.uk moritz.gerstung@ebi.ac.uk mats.nilsson@scilifelab.se
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Abstract

Subclonality is a universal feature of cancers yet how clones grow, are spatially organised, differ phenotypically or influence clinical outcome is unclear. To address this, we developed base specific in situ sequencing (BaSISS). In fixed tissues, transcripts harbouring clone-defining mutations are detected, converted into quantitative clone maps and characterised through multi-layered data integration. Applied to 8 samples from key stages of breast cancer progression BaSISS localised 1.42 million genotype informative transcripts across 4.9cm2 of tissue. Microscopic clonal topographies are shaped by resident tissue architectures. Distinct transcriptional, histological and immunological features distinguish coexistent genetic clones. Spatial lineage tracing temporally orders clone features associated with the emergence of aggressive clinical traits. These results highlight the pivotal role of spatial genomics in deciphering the mechanisms underlying cancer progression.

Competing Interest Statement

CS is co-owner of HistoOne AB, Sweden, and has research contracts with Prelude Dx, CA, US. MN is an advisor to 10X Genomics. JS is now (but was not at the time of contribution to this manuscript) an employee of Spatial Transcriptomics, Part of 10x Genomics, Inc, Sodra Fiskartorpsvagen 15C, 114 33 Stockholm, Sweden. Other authors declare no competing interests.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted April 16, 2021.
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Spatial genomics maps the structure, character and evolution of cancer clones
Artem Lomakin, Jessica Svedlund, Carina Strell, Milana Gataric, Artem Shmatko, Jun Sung Park, Young Seok Ju, Stefan Dentro, Vitalii Kleshchevnikov, Vasyl Vaskivskyi, Tong Li, Omer Ali Bayraktar, Luiza Moore, Sarah Pinder, Andrea L Richardson, Peter J Campbell, Moritz Gerstung, Mats Nilsson, Lucy R Yates
bioRxiv 2021.04.16.439912; doi: https://doi.org/10.1101/2021.04.16.439912
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Spatial genomics maps the structure, character and evolution of cancer clones
Artem Lomakin, Jessica Svedlund, Carina Strell, Milana Gataric, Artem Shmatko, Jun Sung Park, Young Seok Ju, Stefan Dentro, Vitalii Kleshchevnikov, Vasyl Vaskivskyi, Tong Li, Omer Ali Bayraktar, Luiza Moore, Sarah Pinder, Andrea L Richardson, Peter J Campbell, Moritz Gerstung, Mats Nilsson, Lucy R Yates
bioRxiv 2021.04.16.439912; doi: https://doi.org/10.1101/2021.04.16.439912

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