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Epitranscriptomics & Cancer Adaptation : A.David

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Our research work focuses on the contribution of post-transcriptional mechanisms on cancer cell adaptation, in particular RNA epigenetic & translational control.

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Group name EquipeJPP
Item Type Journal Article
Title Treatment time and circadian genotype interact to influence radiotherapy side-effects. A prospective European validation study using the REQUITE cohort
Creator Webb et al.
Author Adam J. Webb
Author Emily Harper
Author Tim Rattay
Author Miguel E. Aguado-Barrera
Author David Azria
Author Muriel Brengues
Author Erik Briers
Author Renée Bultijnck
Author Jenny Chang-Claude
Author Ananya Choudhury
Author Alessandro Cicchetti
Author Dirk De Ruysscher
Author Maria Carmen De Santis
Author Alison M. Dunning
Author Rebecca M. Elliott
Author Laura Fachal
Author Antonio Gómez-Caamaño
Author Sara Gutiérrez-Enríquez
Author Kerstie Johnson
Author Ramón Lobato-Busto
Author Sarah L. Kerns
Author Giselle Post
Author Tiziana Rancati
Author Victoria Reyes
Author Barry S. Rosenstein
Author Petra Seibold
Author Alejandro Seoane
Author Paloma Sosa-Fajardo
Author Elena Sperk
Author Begoña Taboada-Valladares
Author Riccardo Valdagni
Author Ana Vega
Author Liv Veldeman
Author Tim Ward
Author Catharine M. West
Author R. Paul Symonds
Author Christopher J. Talbot
Abstract BACKGROUND: 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. METHODS: 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 identify primary endpoint predictors. FINDINGS: Significant predictors for erythema included BMI, radiation dose and PER3 genotype (OR 1.27(95%CI 1.03-1.56); P < 0.03). Effect of treatment time effect on acute toxicity was inconclusive, with no interaction between time and genotype. For late toxicity (breast atrophy), predictors included BMI, radiation dose, surgery type, treatment time and SNPs in CLOCK (OR 0.62 (95%CI 0.4-0.9); P < 0.01), PER3 (OR 0.65 (95%CI 0.44-0.97); P < 0.04) and RASD1 (OR 0.56 (95%CI 0.35-0.89); P < 0.02). There was a statistically significant interaction between time and genotypes of circadian rhythm genes (CLOCK OR 1.13 (95%CI 1.03-1.23), P < 0.01; PER3 OR 1.1 (95%CI 1.01-1.2), P < 0.04; RASD1 OR 1.15 (95%CI 1.04-1.28), P < 0.008), with peak time for toxicity determined by genotype. INTERPRETATION: Late atrophy can be mitigated by selecting optimal treatment time according to circadian genotypes (e.g. treat PER3 rs2087947C/C genotypes in mornings; T/T in afternoons). We predict triple-homozygous patients (14%) reduce chance of atrophy from 70% to 33% by treating in mornings as opposed to mid-afternoon. Future clinical trials could stratify patients treated at optimal times compared to those scheduled normally. FUNDING: EU-FP7.
Publication EBioMedicine
Volume 84
Pages 104269
Date 2022-10
Journal Abbr EBioMedicine
Language eng
DOI 10.1016/j.ebiom.2022.104269
ISSN 2352-3964
Library Catalog PubMed
Extra PMID: 36130474 PMCID: PMC9486558
Tags Atrophy, Circadian Rhythm, clinic, Genotype, Humans, Period Circadian Proteins, Prospective Studies, Radiation Injuries, Radiotherapy, ras Proteins
Date Added 2023/11/23 - 12:48:20
Date Modified 2024/12/15 - 11:21:08
Notes and Attachments PubMed entry (Attachment)
Texte intégral (Attachment)


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