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Signatures of copy number alterations in human cancer

Author

Listed:
  • Christopher D. Steele

    (Cancer Institute, University College London)

  • Ammal Abbasi

    (UC San Diego
    UC San Diego
    UC San Diego)

  • S. M. Ashiqul Islam

    (UC San Diego
    UC San Diego
    UC San Diego)

  • Amy L. Bowes

    (Cancer Institute, University College London
    The Francis Crick Institute)

  • Azhar Khandekar

    (UC San Diego
    UC San Diego
    UC San Diego)

  • Kerstin Haase

    (The Francis Crick Institute)

  • Shadi Hames-Fathi

    (Cancer Institute, University College London)

  • Dolapo Ajayi

    (Cancer Institute, University College London)

  • Annelien Verfaillie

    (The Francis Crick Institute)

  • Pawan Dhami

    (CRUK–UCL Cancer Institute Translational Technology Platform (Genomics))

  • Alex McLatchie

    (CRUK–UCL Cancer Institute Translational Technology Platform (Genomics))

  • Matt Lechner

    (UCL Cancer Institute)

  • Nicholas Light

    (The Hospital for Sick Children
    University of Toronto)

  • Adam Shlien

    (University of Toronto
    University of Toronto
    The Hospital for Sick Children)

  • David Malkin

    (The Hospital for Sick Children
    The Hospital for Sick Children
    University of Toronto)

  • Andrew Feber

    (Institute of Cancer Research
    Royal Marsden NHS Trust)

  • Paula Proszek

    (Institute of Cancer Research
    Royal Marsden NHS Trust)

  • Tom Lesluyes

    (The Francis Crick Institute)

  • Fredrik Mertens

    (Lund University
    Division of Laboratory Medicine)

  • Adrienne M. Flanagan

    (Cancer Institute, University College London
    Royal National Orthopaedic Hospital NHS Trust)

  • Maxime Tarabichi

    (The Francis Crick Institute
    Université Libre de Bruxelles)

  • Peter Loo

    (The Francis Crick Institute)

  • Ludmil B. Alexandrov

    (UC San Diego
    UC San Diego
    UC San Diego)

  • Nischalan Pillay

    (Cancer Institute, University College London
    Royal National Orthopaedic Hospital NHS Trust)

Abstract

Gains and losses of DNA are prevalent in cancer and emerge as a consequence of inter-related processes of replication stress, mitotic errors, spindle multipolarity and breakage–fusion–bridge cycles, among others, which may lead to chromosomal instability and aneuploidy1,2. These copy number alterations contribute to cancer initiation, progression and therapeutic resistance3–5. Here we present a conceptual framework to examine the patterns of copy number alterations in human cancer that is widely applicable to diverse data types, including whole-genome sequencing, whole-exome sequencing, reduced representation bisulfite sequencing, single-cell DNA sequencing and SNP6 microarray data. Deploying this framework to 9,873 cancers representing 33 human cancer types from The Cancer Genome Atlas6 revealed a set of 21 copy number signatures that explain the copy number patterns of 97% of samples. Seventeen copy number signatures were attributed to biological phenomena of whole-genome doubling, aneuploidy, loss of heterozygosity, homologous recombination deficiency, chromothripsis and haploidization. The aetiologies of four copy number signatures remain unexplained. Some cancer types harbour amplicon signatures associated with extrachromosomal DNA, disease-specific survival and proto-oncogene gains such as MDM2. In contrast to base-scale mutational signatures, no copy number signature was associated with many known exogenous cancer risk factors. Our results synthesize the global landscape of copy number alterations in human cancer by revealing a diversity of mutational processes that give rise to these alterations.

Suggested Citation

  • Christopher D. Steele & Ammal Abbasi & S. M. Ashiqul Islam & Amy L. Bowes & Azhar Khandekar & Kerstin Haase & Shadi Hames-Fathi & Dolapo Ajayi & Annelien Verfaillie & Pawan Dhami & Alex McLatchie & Ma, 2022. "Signatures of copy number alterations in human cancer," Nature, Nature, vol. 606(7916), pages 984-991, June.
  • Handle: RePEc:nat:nature:v:606:y:2022:i:7916:d:10.1038_s41586-022-04738-6
    DOI: 10.1038/s41586-022-04738-6
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    Cited by:

    1. Shixiang Wang & Chen-Yi Wu & Ming-Ming He & Jia-Xin Yong & Yan-Xing Chen & Li-Mei Qian & Jin-Ling Zhang & Zhao-Lei Zeng & Rui-Hua Xu & Feng Wang & Qi Zhao, 2024. "Machine learning-based extrachromosomal DNA identification in large-scale cohorts reveals its clinical implications in cancer," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Heather E. Machado & Nina F. Øbro & Nicholas Williams & Shengjiang Tan & Ahmed Z. Boukerrou & Megan Davies & Miriam Belmonte & Emily Mitchell & E. Joanna Baxter & Nicole Mende & Anna Clay & Philip Anc, 2023. "Convergent somatic evolution commences in utero in a germline ribosomopathy," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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