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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
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    Cited by:

    1. 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.

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