TY - JOUR
T1 - Association of radiation-induced normal tissue toxicity with a high genetic risk for rheumatoid arthritis
AU - Mcwilliam, Alan
AU - Marshall, Deborah
AU - Kerns, Sarah L
AU - Barnett, Gillian C
AU - Vega, Ana
AU - Kapouranis, Thodori
AU - Aguado Barrera, Miguel E
AU - Avuzzi, Barbara
AU - Azria, David
AU - Chang-Claude, Jenny
AU - Choudhury, Ananya
AU - Coedo Costa, Carla
AU - Dunning, Alison
AU - Farcy-Jacquet, Marie-Pierre
AU - Faivre-Finn, Corinne
AU - Gutiérrez-Enríquez, Sara
AU - Fuentes Río, Olivia
AU - Gómez Caamaño, Antonio
AU - Lambrecht, Maarten
AU - López Pleguezuelos, Carlos
AU - Rancati, Tiziana
AU - Rattay, Tim
AU - De Ruysscher, Dirk
AU - Seibold, Petra
AU - Sperk, Elena
AU - Talbot, Christopher
AU - Webb, Adam
AU - Veldeman, Liv
AU - Rosenstein, Barry S
AU - West, Catharine M L
AU - REQUITE consortium
PY - 2025/5/1
Y1 - 2025/5/1
N2 - Background: Overlapping genes are involved with rheumatoid arthritis (RA) and DNA repair pathways. Therefore, we hypothesized that patients with a high polygenic risk score for RA will have an increased risk of radiotherapy toxicity given the involvement of DNA repair. Methods: Primary analysis was performed on 1494 prostate cancer, 483 lung cancer, and 1820 breast cancer patients assessed for development of radiotherapy toxicity in the REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side effects and improve QUalITy of lifE in cancer survivors) study. Validation cohorts were available from the Radiogenomics Consortium. All patients had undergone curative-intent radiotherapy and were assessed prospectively for toxicity. Germline genomic data was available for all patients, allowing a polygenic risk score to be calculated using 101 RA risk variants. Polygenic risk score was analyzed as a continuous variable and with a more than 90th percentile cutoff. Associations with acute and late standardized total average toxicity (STAT) scores and individual toxicity endpoints were analyzed in multivariable models with preselected adjustment variables. Results: Increasing polygenic risk score for RA did not increase the risk of STAT-acute or STAT-late in any cohort. There was an increased risk of late esophagitis in the lung cancer cohort (coefficient = 0.018, P =. 01), however this was not validated (P =. 79). No individual acute or late toxicity endpoints were statistically significantly associated with polygenic risk score for the prostate or breast cohorts. No statistically significant results were found in the validation cohorts in multivariable models. Conclusions: Patients with a high genetic risk for RA do not show increased levels of toxicity after radiotherapy suggesting treatment planning does not need to be modified for such patients.
AB - Background: Overlapping genes are involved with rheumatoid arthritis (RA) and DNA repair pathways. Therefore, we hypothesized that patients with a high polygenic risk score for RA will have an increased risk of radiotherapy toxicity given the involvement of DNA repair. Methods: Primary analysis was performed on 1494 prostate cancer, 483 lung cancer, and 1820 breast cancer patients assessed for development of radiotherapy toxicity in the REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side effects and improve QUalITy of lifE in cancer survivors) study. Validation cohorts were available from the Radiogenomics Consortium. All patients had undergone curative-intent radiotherapy and were assessed prospectively for toxicity. Germline genomic data was available for all patients, allowing a polygenic risk score to be calculated using 101 RA risk variants. Polygenic risk score was analyzed as a continuous variable and with a more than 90th percentile cutoff. Associations with acute and late standardized total average toxicity (STAT) scores and individual toxicity endpoints were analyzed in multivariable models with preselected adjustment variables. Results: Increasing polygenic risk score for RA did not increase the risk of STAT-acute or STAT-late in any cohort. There was an increased risk of late esophagitis in the lung cancer cohort (coefficient = 0.018, P =. 01), however this was not validated (P =. 79). No individual acute or late toxicity endpoints were statistically significantly associated with polygenic risk score for the prostate or breast cohorts. No statistically significant results were found in the validation cohorts in multivariable models. Conclusions: Patients with a high genetic risk for RA do not show increased levels of toxicity after radiotherapy suggesting treatment planning does not need to be modified for such patients.
KW - Polygenetic risk scores
KW - Radiotherapy toxicity
KW - Rheumatoid arthritis
U2 - 10.1093/jnci/djae349
DO - 10.1093/jnci/djae349
M3 - Article
SN - 0027-8874
VL - 117
SP - 1018
EP - 1026
JO - Journal of the National Cancer Institute
JF - Journal of the National Cancer Institute
IS - 5
ER -