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    Understanding the effects of radiotherapy on the tumour immune microenvironment to identify potential prognostic and predictive biomarkers of radiotherapy response

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    Authors
    Cheng, S.
    Cheadle, E. J.
    Illidge, Timothy M
    Affiliation
    Manchester Academic Health Science Centre, Manchester NIHR Biomedical Research Centre, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester
    Issue Date
    2020
    
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    Show full item record
    Abstract
    Radiotherapy (RT) is a highly effective anti-cancer treatment. Immunotherapy using immune checkpoint blockade (ICI) has emerged as a new and robust pillar in cancer therapy; however, the response rate to single agent ICI is low whilst toxicity remains. Radiotherapy has been shown to have local and systemic immunomodulatory effects. Therefore, combining RT and immunotherapy is a rational approach to enhance anti-tumour immune responses. However, the immunomodulatory effects of RT can be both immunostimulatory or immunosuppressive and may be different across different tumour types and patients. Therefore, there is an urgent medical need to establish biomarkers to guide clinical decision making in predicting responses or in patient selection for RT-based combination treatments. In this review, we summarize the immunological effects of RT on the tumour microenvironment and emerging biomarkers to help better understand the implications of these immunological changes, and we provide new insights into the potential for combination therapies with RT and immunotherapy.
    Citation
    Cheng S, Cheadle EJ, Illidge TM. Understanding the Effects of Radiotherapy on the Tumour Immune Microenvironment to Identify Potential Prognostic and Predictive Biomarkers of Radiotherapy Response. Cancers (Basel). 2020;12(10).
    Journal
    Cancers
    URI
    http://hdl.handle.net/10541/623361
    DOI
    10.3390/cancers12102835
    PubMed ID
    33008040
    Additional Links
    https://dx.doi.org/10.3390/cancers12102835
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.3390/cancers12102835
    Scopus Count
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