IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v8y2017i1d10.1038_ncomms15657.html
   My bibliography  Save this article

Cancer-cell intrinsic gene expression signatures overcome intratumoural heterogeneity bias in colorectal cancer patient classification

Author

Listed:
  • Philip D. Dunne

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

  • Matthew Alderdice

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

  • Paul G. O'Reilly

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

  • Aideen C. Roddy

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

  • Amy M. B. McCorry

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

  • Susan Richman

    (Leeds Institute of Cancer and Pathology, St James Hospital)

  • Tim Maughan

    (CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford)

  • Simon S. McDade

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

  • Patrick G. Johnston

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

  • Daniel B. Longley

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

  • Elaine Kay

    (Beaumont Hospital and Royal College of Surgeons in Ireland)

  • Darragh G. McArt

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

  • Mark Lawler

    (Centre for Cancer Research and Cell Biology, Queen’s University Belfast)

Abstract

Stromal-derived intratumoural heterogeneity (ITH) has been shown to undermine molecular stratification of patients into appropriate prognostic/predictive subgroups. Here, using several clinically relevant colorectal cancer (CRC) gene expression signatures, we assessed the susceptibility of these signatures to the confounding effects of ITH using gene expression microarray data obtained from multiple tumour regions of a cohort of 24 patients, including central tumour, the tumour invasive front and lymph node metastasis. Sample clustering alongside correlative assessment revealed variation in the ability of each signature to cluster samples according to patient-of-origin rather than region-of-origin within the multi-region dataset. Signatures focused on cancer-cell intrinsic gene expression were found to produce more clinically useful, patient-centred classifiers, as exemplified by the CRC intrinsic signature (CRIS), which robustly clustered samples by patient-of-origin rather than region-of-origin. These findings highlight the potential of cancer-cell intrinsic signatures to reliably stratify CRC patients by minimising the confounding effects of stromal-derived ITH.

Suggested Citation

  • Philip D. Dunne & Matthew Alderdice & Paul G. O'Reilly & Aideen C. Roddy & Amy M. B. McCorry & Susan Richman & Tim Maughan & Simon S. McDade & Patrick G. Johnston & Daniel B. Longley & Elaine Kay & Da, 2017. "Cancer-cell intrinsic gene expression signatures overcome intratumoural heterogeneity bias in colorectal cancer patient classification," Nature Communications, Nature, vol. 8(1), pages 1-12, August.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15657
    DOI: 10.1038/ncomms15657
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms15657
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms15657?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. Jonas Langerud & Ina A. Eilertsen & Seyed H. Moosavi & Solveig M. K. Klokkerud & Henrik M. Reims & Ingeborg F. Backe & Merete Hektoen & Ole H. Sjo & Marine Jeanmougin & Sabine Tejpar & Arild Nesbakken, 2024. "Multiregional transcriptomics identifies congruent consensus subtypes with prognostic value beyond tumor heterogeneity of colorectal cancer," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    2. Dustin J. Flanagan & Raheleh Amirkhah & David F. Vincent & Nuray Gunduz & Pauline Gentaz & Patrizia Cammareri & Aoife J. McCooey & Amy M. B. McCorry & Natalie C. Fisher & Hayley L. Davis & Rachel A. R, 2022. "Epithelial TGFβ engages growth-factor signalling to circumvent apoptosis and drive intestinal tumourigenesis with aggressive features," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    3. Simonetta M. Leto & Elena Grassi & Marco Avolio & Valentina Vurchio & Francesca Cottino & Martina Ferri & Eugenia R. Zanella & Sofia Borgato & Giorgio Corti & Laura Blasio & Desiana Somale & Marianela, 2024. "XENTURION is a population-level multidimensional resource of xenografts and tumoroids from metastatic colorectal cancer patients," Nature Communications, Nature, vol. 15(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:8:y:2017:i:1:d:10.1038_ncomms15657. 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.