<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Webb AJ</submitter><funding>Cancer Research UK</funding><funding>National Institute for Health Research (NIHR)</funding><pagination>104269</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9486558</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>84</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Circadian rhythm impacts broad biological processes, including response to cancer treatment. Evidence conflicts on whether treatment time affects risk of radiotherapy side-effects, likely because of differing time analyses and target tissues. We previously showed interactive effects of time and genotypes of circadian genes on late toxicity after breast radiotherapy and aimed to validate those results in a multi-centre cohort.&lt;h4>Methods&lt;/h4>Clinical and genotype data from 1690 REQUITE breast cancer patients were used with erythema (acute; n=340) and breast atrophy (two years post-radiotherapy; n=514) as primary endpoints. Local datetimes per fraction were converted into solar times as predictors. Genetic chronotype markers were included in logistic regressions to identif</pubmed_abstract><journal>EBioMedicine</journal><pubmed_title>Treatment time and circadian genotype interact to influence radiotherapy side-effects. A prospective European validation study using the REQUITE cohort.</pubmed_title><pmcid>PMC9486558</pmcid><funding_grant_id>DRF-2014-07-079</funding_grant_id><funding_grant_id>CL-2017-11-002</funding_grant_id><funding_grant_id>18504</funding_grant_id><pubmed_authors>Johnson K</pubmed_authors><pubmed_authors>Kerns SL</pubmed_authors><pubmed_authors>Elliott RM</pubmed_authors><pubmed_authors>Vega A</pubmed_authors><pubmed_authors>REQUITE Consortium</pubmed_authors><pubmed_authors>Rosenstein BS</pubmed_authors><pubmed_authors>Ward T</pubmed_authors><pubmed_authors>Seibold P</pubmed_authors><pubmed_authors>Gutierrez-Enriquez S</pubmed_authors><pubmed_authors>Bultijnck R</pubmed_authors><pubmed_authors>Seoane A</pubmed_authors><pubmed_authors>Harper E</pubmed_authors><pubmed_authors>Reyes V</pubmed_authors><pubmed_authors>Choudhury A</pubmed_authors><pubmed_authors>Rancati T</pubmed_authors><pubmed_authors>Rattay T</pubmed_authors><pubmed_authors>Chang-Claude J</pubmed_authors><pubmed_authors>Veldeman L</pubmed_authors><pubmed_authors>De Ruysscher D</pubmed_authors><pubmed_authors>Gomez-Caamano A</pubmed_authors><pubmed_authors>Talbot CJ</pubmed_authors><pubmed_authors>Azria D</pubmed_authors><pubmed_authors>Sperk E</pubmed_authors><pubmed_authors>De Santis MC</pubmed_authors><pubmed_authors>Symonds RP</pubmed_authors><pubmed_authors>Webb AJ</pubmed_authors><pubmed_authors>Aguado-Barrera ME</pubmed_authors><pubmed_authors>Brengues M</pubmed_authors><pubmed_authors>Fachal L</pubmed_authors><pubmed_authors>Post G</pubmed_authors><pubmed_authors>Sosa-Fajardo P</pubmed_authors><pubmed_authors>Briers E</pubmed_authors><pubmed_authors>Cicchetti A</pubmed_authors><pubmed_authors>Bourgier C</pubmed_authors><pubmed_authors>Dunning AM</pubmed_authors><pubmed_authors>Taboada-Valladares B</pubmed_authors><pubmed_authors>West CM</pubmed_authors><pubmed_authors>Lobato-Busto R</pubmed_authors><pubmed_authors>Valdagni R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Treatment time and circadian genotype interact to influence radiotherapy side-effects. A prospective European validation study using the REQUITE cohort.</name><description>&lt;h4>Background&lt;/h4>Circadian rhythm impacts broad biological processes, including response to cancer treatment. Evidence conflicts on whether treatment time affects risk of radiotherapy side-effects, likely because of differing time analyses and target tissues. We previously showed interactive effects of time and genotypes of circadian genes on late toxicity after breast radiotherapy and aimed to validate those results in a multi-centre cohort.&lt;h4>Methods&lt;/h4>Clinical and genotype data from 1690 REQUITE breast cancer patients were used with erythema (acute; n=340) and breast atrophy (two years post-radiotherapy; n=514) as primary endpoints. Local datetimes per fraction were converted into solar times as predictors. Genetic chronotype markers were included in logistic regressions to identif</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2026-05-31T16:54:54.757Z</modification><creation>2024-11-09T06:04:51.027Z</creation></dates><accession>S-EPMC9486558</accession><cross_references><pubmed>36130474</pubmed><doi>10.1016/j.ebiom.2022.104269</doi></cross_references></HashMap>