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@ARTICLE{Seibold:143863,
      author       = {P. Seibold$^*$ and A. Webb and M. E. Aguado-Barrera and D.
                      Azria and C. Bourgier and M. Brengues and E. Briers and R.
                      Bultijnck and P. Calvo-Crespo and A. Carballo and A.
                      Choudhury and A. Cicchetti and J. Claßen and E. Delmastro
                      and A. M. Dunning and R. M. Elliott and M.-P. Farcy-Jacquet
                      and P. Gabriele and E. Garibaldi and A. Gómez-Caamaño and
                      S. Gutiérrez-Enríquez and D. S. Higginson and K. Johnson
                      and R. Lobato-Busto and M. Mollà and A. Müller$^*$ and D.
                      Payne and P. Peleteiro and G. Post and T. Rancati and T.
                      Rattay and V. Reyes and B. S. Rosenstein and D. De Ruysscher
                      and M. C. De Santis and J. Schäfer and T. Schnabel and E.
                      Sperk and R. P. Symonds and H. Stobart and B.
                      Taboada-Valladares and C. J. Talbot and R. Valdagni and A.
                      Vega and L. Veldeman and T. Ward and C. Weißenberger and C.
                      M. L. West and J. Chang-Claude$^*$},
      collaboration = {R. consortium},
      title        = {{REQUITE}: {A} prospective multicentre cohort study of
                      patients undergoing radiotherapy for breast, lung or
                      prostate cancer.},
      journal      = {Radiotherapy and oncology},
      volume       = {138},
      issn         = {0167-8140},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {DKFZ-2019-01425},
      pages        = {59 - 67},
      year         = {2019},
      abstract     = {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.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.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).The
                      comprehensive centralised database and linked biobank is a
                      valuable resource for the radiotherapy community for
                      validating predictive models and biomarkers.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.},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31146072},
      doi          = {10.1016/j.radonc.2019.04.034},
      url          = {https://inrepo02.dkfz.de/record/143863},
}