TY - JOUR
T1 - REQUITE
T2 - A prospective multicentre cohort study of patients undergoing radiotherapy for breast, lung or prostate cancer
AU - REQUITE consortium
AU - Seibold, Petra
AU - Webb, Adam
AU - Aguado-Barrera, Miguel E.
AU - Azria, David
AU - Bourgier, Celine
AU - Brengues, Muriel
AU - Briers, Erik
AU - Bultijnck, Renée
AU - Calvo-Crespo, Patricia
AU - Carballo, Ana
AU - Choudhury, Ananya
AU - Cicchetti, Alessandro
AU - Claßen, Johannes
AU - Delmastro, Elena
AU - Dunning, Alison M.
AU - Elliott, Rebecca M.
AU - Farcy-Jacquet, Marie Pierre
AU - Gabriele, Pietro
AU - Garibaldi, Elisabetta
AU - Gómez-Caamaño, Antonio
AU - Gutiérrez-Enríquez, Sara
AU - Higginson, Daniel S.
AU - Johnson, Kerstie
AU - Lobato-Busto, Ramón
AU - Mollà, Meritxell
AU - Müller, Anusha
AU - Payne, Debbie
AU - Peleteiro, Paula
AU - Post, Giselle
AU - Rancati, Tiziana
AU - Rattay, Tim
AU - Reyes, Victoria
AU - Rosenstein, Barry S.
AU - De Ruysscher, Dirk
AU - De Santis, Maria Carmen
AU - Schäfer, Jörg
AU - Schnabel, Thomas
AU - Sperk, Elena
AU - Symonds, R. Paul
AU - Stobart, Hilary
AU - Taboada-Valladares, Begoña
AU - Talbot, Christopher J.
AU - Valdagni, Riccardo
AU - Vega, Ana
AU - Veldeman, Liv
AU - Ward, Tim
AU - Weißenberger, Christian
AU - West, Catharine M.L.
AU - Chang-Claude, Jenny
N1 - Publisher Copyright:
© 2019 The Authors
PY - 2019/9
Y1 - 2019/9
N2 - Purpose: REQUITE aimed to establish a resource for multi-national validation of models and biomarkers that predict risk of late toxicity following radiotherapy. The purpose of this article is to provide summary descriptive data. Methods: An international, prospective cohort study recruited cancer patients in 26 hospitals in eight countries between April 2014 and March 2017. Target recruitment was 5300 patients. Eligible patients had breast, prostate or lung cancer and planned potentially curable radiotherapy. Radiotherapy was prescribed according to local regimens, but centres used standardised data collection forms. Pre-treatment blood samples were collected. Patients were followed for a minimum of 12 (lung) or 24 (breast/prostate) months and summary descriptive statistics were generated. Results: The study recruited 2069 breast (99% of target), 1808 prostate (86%) and 561 lung (51%) cancer patients. The centralised, accessible database includes: physician- (47,025 forms) and patient- (54,901) reported outcomes; 11,563 breast photos; 17,107 DICOMs and 12,684 DVHs. Imputed genotype data are available for 4223 patients with European ancestry (1948 breast, 1728 prostate, 547 lung). Radiation-induced lymphocyte apoptosis (RILA) assay data are available for 1319 patients. DNA (n = 4409) and PAXgene tubes (n = 3039) are stored in the centralised biobank. Example prevalences of 2-year (1-year for lung) grade ≥2 CTCAE toxicities are 13% atrophy (breast), 3% rectal bleeding (prostate) and 27% dyspnoea (lung). Conclusion: The comprehensive centralised database and linked biobank is a valuable resource for the radiotherapy community for validating predictive models and biomarkers. Patient summary: Up to half of cancer patients undergo radiation therapy and irradiation of surrounding healthy tissue is unavoidable. Damage to healthy tissue can affect short- and long-term quality-of-life. Not all patients are equally sensitive to radiation “damage” but it is not possible at the moment to identify those who are. REQUITE was established with the aim of trying to understand more about how we could predict radiation sensitivity. The purpose of this paper is to provide an overview and summary of the data and material available. In the REQUITE study 4400 breast, prostate and lung cancer patients filled out questionnaires and donated blood. A large amount of data was collected in the same way. With all these data and samples a database and biobank were created that showed it is possible to collect this kind of information in a standardised way across countries. In the future, our database and linked biobank will be a resource for research and validation of clinical predictors and models of radiation sensitivity. REQUITE will also enable a better understanding of how many people suffer with radiotherapy toxicity.
AB - Purpose: REQUITE aimed to establish a resource for multi-national validation of models and biomarkers that predict risk of late toxicity following radiotherapy. The purpose of this article is to provide summary descriptive data. Methods: An international, prospective cohort study recruited cancer patients in 26 hospitals in eight countries between April 2014 and March 2017. Target recruitment was 5300 patients. Eligible patients had breast, prostate or lung cancer and planned potentially curable radiotherapy. Radiotherapy was prescribed according to local regimens, but centres used standardised data collection forms. Pre-treatment blood samples were collected. Patients were followed for a minimum of 12 (lung) or 24 (breast/prostate) months and summary descriptive statistics were generated. Results: The study recruited 2069 breast (99% of target), 1808 prostate (86%) and 561 lung (51%) cancer patients. The centralised, accessible database includes: physician- (47,025 forms) and patient- (54,901) reported outcomes; 11,563 breast photos; 17,107 DICOMs and 12,684 DVHs. Imputed genotype data are available for 4223 patients with European ancestry (1948 breast, 1728 prostate, 547 lung). Radiation-induced lymphocyte apoptosis (RILA) assay data are available for 1319 patients. DNA (n = 4409) and PAXgene tubes (n = 3039) are stored in the centralised biobank. Example prevalences of 2-year (1-year for lung) grade ≥2 CTCAE toxicities are 13% atrophy (breast), 3% rectal bleeding (prostate) and 27% dyspnoea (lung). Conclusion: The comprehensive centralised database and linked biobank is a valuable resource for the radiotherapy community for validating predictive models and biomarkers. Patient summary: Up to half of cancer patients undergo radiation therapy and irradiation of surrounding healthy tissue is unavoidable. Damage to healthy tissue can affect short- and long-term quality-of-life. Not all patients are equally sensitive to radiation “damage” but it is not possible at the moment to identify those who are. REQUITE was established with the aim of trying to understand more about how we could predict radiation sensitivity. The purpose of this paper is to provide an overview and summary of the data and material available. In the REQUITE study 4400 breast, prostate and lung cancer patients filled out questionnaires and donated blood. A large amount of data was collected in the same way. With all these data and samples a database and biobank were created that showed it is possible to collect this kind of information in a standardised way across countries. In the future, our database and linked biobank will be a resource for research and validation of clinical predictors and models of radiation sensitivity. REQUITE will also enable a better understanding of how many people suffer with radiotherapy toxicity.
KW - Biomarkers
KW - Breast cancer
KW - Late radiotherapy side effects
KW - Lung cancer
KW - Prediction models
KW - Prostate cancer
UR - http://www.scopus.com/inward/record.url?scp=85066086421&partnerID=8YFLogxK
U2 - 10.1016/j.radonc.2019.04.034
DO - 10.1016/j.radonc.2019.04.034
M3 - Article
C2 - 31146072
AN - SCOPUS:85066086421
SN - 0167-8140
VL - 138
SP - 59
EP - 67
JO - Radiotherapy and Oncology
JF - Radiotherapy and Oncology
ER -