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    Genomic copy number predicts esophageal cancer years before transformation

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    Authors
    Killcoyne, S.
    Gregson, E.
    Wedge, David C
    Woodcock, D. J.
    Eldridge, M. D.
    de la Rue, R.
    Miremadi, A.
    Abbas, S.
    Blasko, A.
    Kosmidou, C.
    Januszewicz, W.
    Jenkins, A. V.
    Gerstung, M.
    Fitzgerald, R. C.
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    Affiliation
    Medical Research Council Cancer Unit, Hutchison/Medical Research Council Research Centre, University of Cambridge, Cambridge, UK.
    Issue Date
    2020
    
    Metadata
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    Abstract
    Recent studies show that aneuploidy and driver gene mutations precede cancer diagnosis by many years1-4. We assess whether these genomic signals can be used for early detection and pre-emptive cancer treatment using the neoplastic precursor lesion Barrett's esophagus as an exemplar5. Shallow whole-genome sequencing of 777 biopsies, sampled from 88 patients in Barrett's esophagus surveillance over a period of up to 15 years, shows that genomic signals can distinguish progressive from stable disease even 10 years before histopathological transformation. These findings are validated on two independent cohorts of 76 and 248 patients. These methods are low-cost and applicable to standard clinical biopsy samples. Compared with current management guidelines based on histopathology and clinical presentation, genomic classification enables earlier treatment for high-risk patients as well as reduction of unnecessary treatment and monitoring for patients who are unlikely to develop cancer.
    Citation
    Killcoyne S, Gregson E, Wedge DC, Woodcock DJ, Eldridge MD, de la Rue R, et al. Genomic copy number predicts esophageal cancer years before transformation. Nat Med. 2020.
    Journal
    Nature Medicine
    URI
    http://hdl.handle.net/10541/623346
    DOI
    10.1038/s41591-020-1033-y
    PubMed ID
    32895572
    Additional Links
    https://dx.doi.org/10.1038/s41591-020-1033-y
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1038/s41591-020-1033-y
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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