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

Author

Listed:
  • Artem Lomakin

    (European Bioinformatics Institute (EMBL-EBI)
    Wellcome Sanger Institute
    German Cancer Research Centre DKFZ)

  • Jessica Svedlund

    (Stockholm University)

  • Carina Strell

    (Stockholm University
    Uppsala University)

  • Milana Gataric

    (European Bioinformatics Institute (EMBL-EBI)
    Wellcome Sanger Institute)

  • Artem Shmatko

    (German Cancer Research Centre DKFZ)

  • Gleb Rukhovich

    (Wellcome Sanger Institute
    German Cancer Research Centre DKFZ)

  • Jun Sung Park

    (European Bioinformatics Institute (EMBL-EBI)
    Wellcome Sanger Institute
    German Cancer Research Centre DKFZ)

  • Young Seok Ju

    (GSMSE, KAIST)

  • Stefan Dentro

    (European Bioinformatics Institute (EMBL-EBI)
    Wellcome Sanger Institute
    German Cancer Research Centre DKFZ)

  • Vitalii Kleshchevnikov

    (Wellcome Sanger Institute)

  • Vasyl Vaskivskyi

    (Wellcome Sanger Institute)

  • Tong Li

    (Wellcome Sanger Institute)

  • Omer Ali Bayraktar

    (Wellcome Sanger Institute)

  • Sarah Pinder

    (Guys and St Thomas’ NHS Trust
    King’s College London)

  • Andrea L. Richardson

    (John Hopkins Medicine)

  • Sandro Santagata

    (Harvard Medical School
    Harvard Program in Therapeutic Science
    Harvard Medical School)

  • Peter J. Campbell

    (Wellcome Sanger Institute)

  • Hege Russnes

    (Oslo University Hospital
    University of Oslo)

  • Moritz Gerstung

    (European Bioinformatics Institute (EMBL-EBI)
    German Cancer Research Centre DKFZ)

  • Mats Nilsson

    (Stockholm University)

  • Lucy R. Yates

    (Wellcome Sanger Institute)

Abstract

Genome sequencing of cancers often reveals mosaics of different subclones present in the same tumour1–3. Although these are believed to arise according to the principles of somatic evolution, the exact spatial growth patterns and underlying mechanisms remain elusive4,5. 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.

Suggested Citation

  • Artem Lomakin & Jessica Svedlund & Carina Strell & Milana Gataric & Artem Shmatko & Gleb Rukhovich & Jun Sung Park & Young Seok Ju & Stefan Dentro & Vitalii Kleshchevnikov & Vasyl Vaskivskyi & Tong Li, 2022. "Spatial genomics maps the structure, nature and evolution of cancer clones," Nature, Nature, vol. 611(7936), pages 594-602, November.
  • Handle: RePEc:nat:nature:v:611:y:2022:i:7936:d:10.1038_s41586-022-05425-2
    DOI: 10.1038/s41586-022-05425-2
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    Cited by:

    1. Young Min Park & De-Chen Lin, 2023. "Moving closer towards a comprehensive view of tumor biology and microarchitecture using spatial transcriptomics," Nature Communications, Nature, vol. 14(1), pages 1-3, December.

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