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dc.contributor.authorPrice, James M
dc.contributor.authorPrabhakaran, Asmithaa
dc.contributor.authorWest, Catharine M L
dc.date.accessioned2023-01-16T14:12:51Z
dc.date.available2023-01-16T14:12:51Z
dc.date.issued2022en
dc.identifier.citationPrice 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.en
dc.identifier.pmid36477705en
dc.identifier.doi10.1038/s41571-022-00709-yen
dc.identifier.urihttp://hdl.handle.net/10541/625886
dc.description.abstractOwing 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.en
dc.language.isoenen
dc.relation.urlhttps://dx.doi.org/10.1038/s41571-022-00709-yen
dc.titlePredicting tumour radiosensitivity to deliver precision radiotherapyen
dc.typeArticleen
dc.contributor.departmentDepartment of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UKen
dc.identifier.journalNature Reviews Clinical Oncologyen
dc.description.noteen]


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