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    Predicting tumour radiosensitivity to deliver precision radiotherapy

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    Authors
    Price, James M
    Prabhakaran, Asmithaa
    West, Catharine M L
    Affiliation
    Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK
    Issue Date
    2022
    
    Metadata
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    Abstract
    Owing to advances in radiotherapy, the physical properties of radiation can be optimized to enable individualized treatment; however, optimization is rarely based on biological properties and, therefore, treatments are generally planned with the assumption that all tumours respond similarly to radiation. Radiation affects multiple cellular pathways, including DNA damage, hypoxia, proliferation, stem cell phenotype and immune response. In this Review, we summarize the effect of these pathways on tumour responses to radiotherapy and the current state of research on genomic classifiers designed to exploit these variations to inform treatment decisions. We also discuss whether advances in genomics have generated evidence that could be practice changing and whether advances in genomics are now ready to be used to guide the delivery of radiotherapy alone or in combination.
    Citation
    Price JM, Prabhakaran A, West CML. Predicting tumour radiosensitivity to deliver precision radiotherapy. Nature reviews Clinical oncology. 2022 Dec 7. PubMed PMID: 36477705. Epub 2022/12/09. eng.
    Journal
    Nature Reviews Clinical Oncology
    URI
    http://hdl.handle.net/10541/625886
    DOI
    10.1038/s41571-022-00709-y
    PubMed ID
    36477705
    Additional Links
    https://dx.doi.org/10.1038/s41571-022-00709-y
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1038/s41571-022-00709-y
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