Alan McWilliam, Deborah Marshall, Sarah L Kerns, Gillian C Barnett, Ana Vega, Thodori Kapouranis, Miguel E Aguado Barrera, Barbara Avuzzi, David Azria, Jenny Chang-Claude, Ananya Choudhury, Carla Coedo Costa, Alison Dunning, Marie-Pierre Farcy-Jacquet, Corinne Faivre-Finn, Sara Gutiérrez-Enríquez, Olivia Fuentes-Ríos, Antonio Gómez Caamaño, Maarten Lambrecht, Carlos López Pleguezuelos, Tiziana Rancati, Tim Rattay, Dirk de Ruysscher, Petra Seibold, Elena Sperk, Christopher Talbot, Adam Webb, Liv Veldeman, Barry S Rosenstein, Catharine M L West
{"title":"辐射诱导的正常组织毒性与类风湿关节炎高遗传风险的关联。","authors":"Alan McWilliam, Deborah Marshall, Sarah L Kerns, Gillian C Barnett, Ana Vega, Thodori Kapouranis, Miguel E Aguado Barrera, Barbara Avuzzi, David Azria, Jenny Chang-Claude, Ananya Choudhury, Carla Coedo Costa, Alison Dunning, Marie-Pierre Farcy-Jacquet, Corinne Faivre-Finn, Sara Gutiérrez-Enríquez, Olivia Fuentes-Ríos, Antonio Gómez Caamaño, Maarten Lambrecht, Carlos López Pleguezuelos, Tiziana Rancati, Tim Rattay, Dirk de Ruysscher, Petra Seibold, Elena Sperk, Christopher Talbot, Adam Webb, Liv Veldeman, Barry S Rosenstein, Catharine M L West","doi":"10.1093/jnci/djae349","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":14809,"journal":{"name":"JNCI Journal of the National Cancer Institute","volume":" ","pages":"1018-1026"},"PeriodicalIF":9.9000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12058264/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association of radiation-induced normal tissue toxicity with a high genetic risk for rheumatoid arthritis.\",\"authors\":\"Alan McWilliam, Deborah Marshall, Sarah L Kerns, Gillian C Barnett, Ana Vega, Thodori Kapouranis, Miguel E Aguado Barrera, Barbara Avuzzi, David Azria, Jenny Chang-Claude, Ananya Choudhury, Carla Coedo Costa, Alison Dunning, Marie-Pierre Farcy-Jacquet, Corinne Faivre-Finn, Sara Gutiérrez-Enríquez, Olivia Fuentes-Ríos, Antonio Gómez Caamaño, Maarten Lambrecht, Carlos López Pleguezuelos, Tiziana Rancati, Tim Rattay, Dirk de Ruysscher, Petra Seibold, Elena Sperk, Christopher Talbot, Adam Webb, Liv Veldeman, Barry S Rosenstein, Catharine M L West\",\"doi\":\"10.1093/jnci/djae349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":14809,\"journal\":{\"name\":\"JNCI Journal of the National Cancer Institute\",\"volume\":\" \",\"pages\":\"1018-1026\"},\"PeriodicalIF\":9.9000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12058264/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JNCI Journal of the National Cancer Institute\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/jnci/djae349\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JNCI Journal of the National Cancer Institute","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/jnci/djae349","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Association of radiation-induced normal tissue toxicity with a high genetic risk for rheumatoid arthritis.
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.
期刊介绍:
The Journal of the National Cancer Institute is a reputable publication that undergoes a peer-review process. It is available in both print (ISSN: 0027-8874) and online (ISSN: 1460-2105) formats, with 12 issues released annually. The journal's primary aim is to disseminate innovative and important discoveries in the field of cancer research, with specific emphasis on clinical, epidemiologic, behavioral, and health outcomes studies. Authors are encouraged to submit reviews, minireviews, and commentaries. The journal ensures that submitted manuscripts undergo a rigorous and expedited review to publish scientifically and medically significant findings in a timely manner.