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    Tracking genomic cancer evolution for precision medicine: the lung TRACERx study.

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    Authors
    Jamal-Hanjani, M
    Hackshaw, A
    Ngai, Y
    Shaw, J
    Dive, Caroline
    Quezada, S
    Middleton, G
    de Bruin, E
    Le Quesne, J
    Shafi, S
    Falzon, M
    Horswell, S
    Blackhall, Fiona H
    Khan, I
    Janes, S
    Nicolson, M
    Lawrence, D
    Forster, M
    Fennell, D
    Lee, S
    Lester, J
    Kerr, K
    Muller, S
    Iles, N
    Smith, S
    Murugaesu, N
    Mitter, R
    Salm, M
    Stuart, A
    Matthews, N
    Adams, H
    Ahmad, T
    Attanoos, R
    Bennett, J
    Birkbak, N
    Booton, R
    Brady, G
    Buchan, K
    Capitano, A
    Chetty, M
    Cobbold, M
    Crosbie, P
    Davies, H
    Denison, A
    Djearman, M
    Goldman, J
    Haswell, T
    Joseph, L
    Kornaszewska, M
    Krebs, M
    Langman, G
    MacKenzie, M
    Millar, J
    Morgan, B
    Naidu, B
    Nonaka, Daisuke
    Peggs, K
    Pritchard, C
    Remmen, H
    Rowan, A
    Shah, R
    Smith, E
    Summers, Yvonne J
    Taylor, M
    Veeriah, S
    Waller, D
    Wilcox, B
    Wilcox, M
    Woolhouse, I
    McGranahan, N
    Swanton, C
    Show allShow less
    Affiliation
    Translational Cancer Therapeutics Laboratory, University College London Cancer Institute, London, United Kingdom; Department of Medical Oncology, University College London Hospitals, London, United Kingdom.
    Issue Date
    2014-07
    
    Metadata
    Show full item record
    Abstract
    The importance of intratumour genetic and functional heterogeneity is increasingly recognised as a driver of cancer progression and survival outcome. Understanding how tumour clonal heterogeneity impacts upon therapeutic outcome, however, is still an area of unmet clinical and scientific need. TRACERx (TRAcking non-small cell lung Cancer Evolution through therapy [Rx]), a prospective study of patients with primary non-small cell lung cancer (NSCLC), aims to define the evolutionary trajectories of lung cancer in both space and time through multiregion and longitudinal tumour sampling and genetic analysis. By following cancers from diagnosis to relapse, tracking the evolutionary trajectories of tumours in relation to therapeutic interventions, and determining the impact of clonal heterogeneity on clinical outcomes, TRACERx may help to identify novel therapeutic targets for NSCLC and may also serve as a model applicable to other cancer types.
    Citation
    Tracking genomic cancer evolution for precision medicine: the lung TRACERx study. 2014, 12 (7):e1001906 PLoS Biol.
    Journal
    PLoS Biology
    URI
    http://hdl.handle.net/10541/332333
    DOI
    10.1371/journal.pbio.1001906
    PubMed ID
    25003521
    Type
    Article
    Language
    en
    ISSN
    1545-7885
    ae974a485f413a2113503eed53cd6c53
    10.1371/journal.pbio.1001906
    Scopus Count
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