Treatment time and circadian genotype interact to influence radiotherapy side-effects. A prospective European validation study using the REQUITE cohort

Other authors

Institut Català de la Salut

[Webb AJ, Harper E] Department of Genetics and Genome Biology, University of Leicester, Leicester, UK. [Rattay T] Leicester Cancer Research Centre, University of Leicester, Leicester, UK. [Aguado-Barrera ME] Fundación Pública Galega Medicina Xenómica, Santiago de Compostela, Spain. Department of Radiation Oncology, Montpellier Cancer Institute, Université Montpellier, Inserm U1194, Montpellier, France. [Azria D, Bourgier C] Department of Radiation Oncology, Montpellier Cancer Institute, Université Montpellier, Inserm U1194, Montpellier, France. [Gutiérrez-Enríquez S] Hereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain. Vall d'Hebron Barcelona Hospital Universitari, Barcelona, Spain. [Reyes V] Servei d’Oncologia Radioteràpica, Vall d'Hebron Hospital Universitari, Barcelona, Spain. [Seoane A] Servei de Física, Vall d'Hebron Hospital Universitari, Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2022-10-27T09:03:55Z

2022-10-27T09:03:55Z

2022-10



Abstract

Breast cancer; Circadian rhythm; Radiotherapy


Cáncer de mama; Ritmo circadiano; Radioterapia


Càncer de mama; Ritme circadià; Radioteràpia


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.


EU-FP7.

Document Type

Article


Published version

Language

English

Publisher

Elsevier

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eBioMedicine;84

https://doi.org/10.1016/j.ebiom.2022.104269

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Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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