IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-020-20887-6.html
   My bibliography  Save this article

Whole genome sequencing of metastatic colorectal cancer reveals prior treatment effects and specific metastasis features

Author

Listed:
  • Pauline A. J. Mendelaar

    (Erasmus University Medical Center Rotterdam)

  • Marcel Smid

    (Erasmus University Medical Center Rotterdam)

  • Job Riet

    (Erasmus University Medical Center Rotterdam
    Erasmus University Medical Center Rotterdam
    Erasmus University Medical Center Rotterdam)

  • Lindsay Angus

    (Erasmus University Medical Center Rotterdam)

  • Mariette Labots

    (Amsterdam UMC, Vrije Universiteit Amsterdam
    Center for Personalized Cancer Treatment)

  • Neeltje Steeghs

    (Center for Personalized Cancer Treatment
    The Netherlands Cancer Institute, Antoni van Leeuwenhoek)

  • Mathijs P. Hendriks

    (Center for Personalized Cancer Treatment
    Northwest Clinics)

  • Geert A. Cirkel

    (Center for Personalized Cancer Treatment
    Meander Medical Center)

  • Johan M. Rooijen

    (Center for Personalized Cancer Treatment
    Martini Hospital)

  • Albert J. Tije

    (Center for Personalized Cancer Treatment
    Amphia Hospital)

  • Martijn P. Lolkema

    (Erasmus University Medical Center Rotterdam
    Center for Personalized Cancer Treatment)

  • Edwin Cuppen

    (University Medical Center Utrecht
    Hartwig Medical Foundation)

  • Stefan Sleijfer

    (Erasmus University Medical Center Rotterdam
    Center for Personalized Cancer Treatment)

  • John W. M. Martens

    (Erasmus University Medical Center Rotterdam
    Center for Personalized Cancer Treatment)

  • Saskia M. Wilting

    (Erasmus University Medical Center Rotterdam)

Abstract

In contrast to primary colorectal cancer (CRC) little is known about the genomic landscape of metastasized CRC. Here we present whole genome sequencing data of metastases of 429 CRC patients participating in the pan-cancer CPCT-02 study (NCT01855477). Unsupervised clustering using mutational signature patterns highlights three major patient groups characterized by signatures known from primary CRC, signatures associated with received prior treatments, and metastasis-specific signatures. Compared to primary CRC, we identify additional putative (non-coding) driver genes and increased frequencies in driver gene mutations. In addition, we identify specific genes preferentially affected by microsatellite instability. CRC-specific 1kb-10Mb deletions, enriched for common fragile sites, and LINC00672 mutations are associated with response to treatment in general, whereas FBXW7 mutations predict poor response specifically to EGFR-targeted treatment. In conclusion, the genomic landscape of mCRC shows defined changes compared to primary CRC, is affected by prior treatments and contains features with potential clinical relevance.

Suggested Citation

  • Pauline A. J. Mendelaar & Marcel Smid & Job Riet & Lindsay Angus & Mariette Labots & Neeltje Steeghs & Mathijs P. Hendriks & Geert A. Cirkel & Johan M. Rooijen & Albert J. Tije & Martijn P. Lolkema & , 2021. "Whole genome sequencing of metastatic colorectal cancer reveals prior treatment effects and specific metastasis features," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20887-6
    DOI: 10.1038/s41467-020-20887-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-20887-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-20887-6?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
    ---><---

    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_s41467-020-20887-6. 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.