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@ARTICLE{Grootes:181074,
      author       = {I. Grootes and R. Keeman and F. M. Blows and R. L. Milne
                      and G. G. Giles and A. J. Swerdlow and P. A. Fasching and M.
                      Abubakar and I. L. Andrulis and H. Anton-Culver and M. W.
                      Beckmann and C. Blomqvist and S. E. Bojesen and M. K. Bolla
                      and B. Bonanni and I. Briceno and B. Burwinkel$^*$ and N. J.
                      Camp and J. E. Castelao and J.-Y. Choi and C. L. Clarke and
                      F. J. Couch and A. Cox and S. S. Cross and K. Czene and P.
                      Devilee and T. Dörk and A. M. Dunning and M. Dwek and D. F.
                      Easton and D. M. Eccles and M. Eriksson and K. Ernst and D.
                      G. Evans and J. D. Figueroa and V. Fink and G. Floris and S.
                      Fox and M. Gabrielson and M. Gago-Dominguez and J. A.
                      García-Sáenz and A. González-Neira and L. Haeberle and C.
                      A. Haiman and P. Hall and U. Hamann$^*$ and E. F. Harkness
                      and M. Hartman and A. Hein and M. J. Hooning and M.-F. Hou
                      and S. J. Howell and H. Ito and A. Jakubowska and W. Janni
                      and E. M. John and A. Jung$^*$ and D. Kang and V. N.
                      Kristensen and A. Kwong and D. Lambrechts and J. Li and J.
                      Lubiński and M. Manoochehri$^*$ and S. Margolin and K.
                      Matsuo and N. A. M. Taib and A. M. Mulligan and H.
                      Nevanlinna and W. G. Newman and K. Offit and A. Osorio and
                      S. K. Park and T.-W. Park-Simon and A. V. Patel and N.
                      Presneau and K. Pylkäs and B. Rack and P. Radice and G.
                      Rennert and A. Romero and E. Saloustros and E. J. Sawyer and
                      A. Schneeweiss and F. Schochter and M. J. Schoemaker and
                      C.-Y. Shen and R. Shibli and P. Sinn and W. J. Tapper and E.
                      Tawfiq and S. H. Teo and L. R. Teras and D. Torres$^*$ and
                      C. M. Vachon and C. H. M. van Deurzen and C. Wendt and J. A.
                      Williams and R. Winqvist and M. Elwood and M. K. Schmidt and
                      M. García-Closas and P. D. P. Pharoah},
      collaboration = {A. Investigators and k. Investigators},
      title        = {{I}ncorporating progesterone receptor expression into the
                      {PREDICT} breast prognostic model.},
      journal      = {European journal of cancer},
      volume       = {173},
      issn         = {0014-2964},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2022-01758},
      pages        = {178 - 193},
      year         = {2022},
      abstract     = {Predict Breast (www.predict.nhs.uk) is an online
                      prognostication and treatment benefit tool for early
                      invasive breast cancer. The aim of this study was to
                      incorporate the prognostic effect of progesterone receptor
                      (PR) status into a new version of PREDICT and to compare its
                      performance to the current version (2.2).The prognostic
                      effect of PR status was based on the analysis of data from
                      45,088 European patients with breast cancer from 49 studies
                      in the Breast Cancer Association Consortium. Cox
                      proportional hazard models were used to estimate the hazard
                      ratio for PR status. Data from a New Zealand study of 11,365
                      patients with early invasive breast cancer were used for
                      external validation. Model calibration and discrimination
                      were used to test the model performance.Having a PR-positive
                      tumour was associated with a $23\%$ and $28\%$ lower risk of
                      dying from breast cancer for women with oestrogen receptor
                      (ER)-negative and ER-positive breast cancer, respectively.
                      The area under the ROC curve increased with the addition of
                      PR status from 0.807 to 0.809 for patients with ER-negative
                      tumours (p = 0.023) and from 0.898 to 0.902 for patients
                      with ER-positive tumours (p = 2.3 × 10-6) in the New
                      Zealand cohort. Model calibration was modest with 940
                      observed deaths compared to 1151 predicted.The inclusion of
                      the prognostic effect of PR status to PREDICT Breast has led
                      to an improvement of model performance and more accurate
                      absolute treatment benefit predictions for individual
                      patients. Further studies should determine whether the
                      baseline hazard function requires recalibration.},
      keywords     = {PREDICT Breast (Other) / Progesterone receptor (Other) /
                      Prognosis (Other) / breast cancer (Other)},
      cin          = {C080 / B072 / B070 / C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C080-20160331 / I:(DE-He78)B072-20160331 /
                      I:(DE-He78)B070-20160331 / I:(DE-He78)C020-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:35933885},
      doi          = {10.1016/j.ejca.2022.06.011},
      url          = {https://inrepo02.dkfz.de/record/181074},
}