IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-25467-w.html
   My bibliography  Save this article

Single allele loss-of-function mutations select and sculpt conditional cooperative networks in breast cancer

Author

Listed:
  • Nathan F. Schachter

    (The Hospital for Sick Children
    University of Toronto)

  • Jessica R. Adams

    (The Hospital for Sick Children
    University of Toronto)

  • Patryk Skowron

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

  • Katelyn. J. Kozma

    (The Hospital for Sick Children
    University of Toronto)

  • Christian A. Lee

    (Computational Biology Program, Ontario Institute for Cancer Research
    University of Toronto)

  • Nandini Raghuram

    (The Hospital for Sick Children
    University of Toronto)

  • Joanna Yang

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

  • Amanda J. Loch

    (The Hospital for Sick Children)

  • Wei Wang

    (The Hospital for Sick Children)

  • Aaron Kucharczuk

    (The Hospital for Sick Children
    University of Toronto)

  • Katherine L. Wright

    (The Hospital for Sick Children
    University of Toronto)

  • Rita M. Quintana

    (The Hospital for Sick Children
    Natera)

  • Yeji An

    (The Hospital for Sick Children
    University of Toronto)

  • Daniel Dotzko

    (The Hospital for Sick Children)

  • Jennifer L. Gorman

    (Lunenfeld-Tanenbaum Research Institute, Sinai Health System)

  • Daria Wojtal

    (University of Toronto)

  • Juhi S. Shah

    (The Hospital for Sick Children)

  • Paul Leon-Gomez

    (The Hospital for Sick Children)

  • Giovanna Pellecchia

    (The Center for Applied Genomics, The Hospital for Sick Children)

  • Adam J. Dupuy

    (Carver College of Medicine, The University of Iowa)

  • Charles M. Perou

    (University of North Carolina)

  • Ittai Ben-Porath

    (Institute for Medical Research-Israel-Canada, The Hebrew University-Hadassah Medical School)

  • Rotem Karni

    (Institute for Medical Research Israel Canada (IMRIC), Hebrew University-Hadassah Medical School)

  • Eldad Zacksenhaus

    (University of Toronto
    Toronto General Research Institute, University Health Network, and Department of Medicine, University of Toronto)

  • Jim R. Woodgett

    (University of Toronto
    Lunenfeld-Tanenbaum Research Institute, Sinai Health System)

  • Susan J. Done

    (University of Toronto
    University of Toronto
    The Princess Margaret Cancer Centre, University Health Network
    The Laboratory Medicine Program, University Health Network)

  • Livia Garzia

    (The Hospital for Sick Children
    The Hospital for Sick Children
    McGill University)

  • A. Sorana Morrissy

    (The Hospital for Sick Children
    The Hospital for Sick Children
    University of Calgary and Arnie Charbonneau Cancer Institute)

  • Jüri Reimand

    (University of Toronto
    Computational Biology Program, Ontario Institute for Cancer Research
    University of Toronto)

  • Michael D. Taylor

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

  • Sean E. Egan

    (The Hospital for Sick Children
    University of Toronto)

Abstract

The most common events in breast cancer (BC) involve chromosome arm losses and gains. Here we describe identification of 1089 gene-centric common insertion sites (gCIS) from transposon-based screens in 8 mouse models of BC. Some gCIS are driver-specific, others driver non-specific, and still others associated with tumor histology. Processes affected by driver-specific and histology-specific mutations include well-known cancer pathways. Driver non-specific gCIS target the Mediator complex, Ca++ signaling, Cyclin D turnover, RNA-metabolism among other processes. Most gCIS show single allele disruption and many map to genomic regions showing high-frequency hemizygous loss in human BC. Two gCIS, Nf1 and Trps1, show synthetic haploinsufficient tumor suppressor activity. Many gCIS act on the same pathway responsible for tumor initiation, thereby selecting and sculpting just enough and just right signaling. These data highlight ~1000 genes with predicted conditional haploinsufficient tumor suppressor function and the potential to promote chromosome arm loss in BC.

Suggested Citation

  • Nathan F. Schachter & Jessica R. Adams & Patryk Skowron & Katelyn. J. Kozma & Christian A. Lee & Nandini Raghuram & Joanna Yang & Amanda J. Loch & Wei Wang & Aaron Kucharczuk & Katherine L. Wright & R, 2021. "Single allele loss-of-function mutations select and sculpt conditional cooperative networks in breast cancer," Nature Communications, Nature, vol. 12(1), pages 1-19, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25467-w
    DOI: 10.1038/s41467-021-25467-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-25467-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-25467-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhe Jiang & YoungJun Ju & Amjad Ali & Philip E. D. Chung & Patryk Skowron & Dong-Yu Wang & Mariusz Shrestha & Huiqin Li & Jeff C. Liu & Ioulia Vorobieva & Ronak Ghanbari-Azarnier & Ethel Mwewa & Maria, 2023. "Distinct shared and compartment-enriched oncogenic networks drive primary versus metastatic breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-22, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25467-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.