• Login
    View Item 
    •   Home
    • The Manchester Institute Cancer Research UK
    • All Paterson Institute for Cancer Research
    • View Item
    •   Home
    • The Manchester Institute Cancer Research UK
    • All Paterson Institute for Cancer Research
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of ChristieCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsProfilesView

    My Account

    LoginRegister

    Local Links

    The Christie WebsiteChristie Library and Knowledge Service

    Statistics

    Display statistics

    Incorporating genetic biomarkers into predictive models of normal tissue toxicity.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    519626.pdf
    Size:
    461.9Kb
    Format:
    PDF
    Description:
    From UNPAYWALL
    Download
    Authors
    Barnett, G
    Kerns, S
    Noble, D
    Dunning, A
    West, Catharine M L
    Burnet, N
    Affiliation
    Oncology Centre, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge
    Issue Date
    2015-10
    
    Metadata
    Show full item record
    Abstract
    There is considerable variation in the level of toxicity patients experience for a given dose of radiotherapy, which is associated with differences in underlying individual normal tissue radiosensitivity. A number of syndromes have a large effect on clinical radiosensitivity, but these are rare. Among non-syndromic patients, variation is less extreme, but equivalent to a ±20% variation in dose. Thus, if individual normal tissue radiosensitivity could be measured, it should be possible to optimise schedules for individual patients. Early investigations of in vitro cellular radiosensitivity supported a link with tissue response, but individual studies were equivocal. A lymphocyte apoptosis assay has potential, and is currently under prospective validation. The investigation of underlying genetic variation also has potential. Although early candidate gene studies were inconclusive, more recent genome-wide association studies are revealing definite associations between genotype and toxicity and highlighting the potential for future genetic testing. Genetic testing and individualised dose prescriptions could reduce toxicity in radiosensitive patients, and permit isotoxic dose escalation to increase local control in radioresistant individuals. The approach could improve outcomes for half the patients requiring radical radiotherapy. As a number of patient- and treatment-related factors also affect the risk of toxicity for a given dose, genetic testing data will need to be incorporated into models that combine patient, treatment and genetic data.
    Citation
    Incorporating genetic biomarkers into predictive models of normal tissue toxicity. 2015, 27 (10):579-87 Clin Oncol
    Journal
    Clinical Oncology
    URI
    http://hdl.handle.net/10541/583563
    DOI
    10.1016/j.clon.2015.06.013
    PubMed ID
    26166774
    Type
    Article
    Language
    en
    ISSN
    1433-2981
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.clon.2015.06.013
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

    entitlement

    Related articles

    • Potential clinical impact of normal-tissue intrinsic radiosensitivity testing.
    • Authors: Bentzen SM
    • Issue date: 1997 May
    • Finding the genetic determinants of adverse reactions to radiotherapy.
    • Authors: Rattay T, Talbot CJ
    • Issue date: 2014 May
    • Biomarkers of Tumour Radiosensitivity and Predicting Benefit from Radiotherapy.
    • Authors: Forker LJ, Choudhury A, Kiltie AE
    • Issue date: 2015 Oct
    • [Factors of late radiosensitivity of normal tissues].
    • Authors: Azria D, Pointreau Y, Toledano A, Ozsahin M
    • Issue date: 2010 Jul
    • Biomarkers of radiation exposure: can they predict normal tissue radiosensitivity?
    • Authors: Chua ML, Rothkamm K
    • Issue date: 2013 Oct
    DSpace software (copyright © 2002 - 2025)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.