4.7 Article

PREDICT Plus: development and validation of a prognostic model for early breast cancer that includes HER2

期刊

BRITISH JOURNAL OF CANCER
卷 107, 期 5, 页码 800-807

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/bjc.2012.338

关键词

breast cancer; HER2; prognostic model; HER2

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资金

  1. Breast Cancer Campaign, Cancer Research UK [C490/A10119, C490/A10124]
  2. US National Institutes of Health [CA122340, CA122340Z, CA116201]
  3. special Government Funding (EVO) of Kuopio University Hospital
  4. Cancer Fund of North Savo
  5. Finnish Cancer Organisation
  6. Academy of Finland [132473]
  7. University of Eastern Finland
  8. Helsinki University Central Hospital Research Fund
  9. Finnish Cancer Society
  10. Sigrid Juselius Foundation
  11. Susan G Komen for the Cure, Yorkshire Cancer Research
  12. Cambridge NIHR Biomedical Research Centre
  13. Cambridge Experimental Cancer Medicine Centre
  14. Michael Smith Foundation For Health Research
  15. Dutch Cancer Society [NKI DCS 2009-4363]
  16. Cancer Research UK
  17. The Francis Crick Institute [10119, 10124] Funding Source: researchfish
  18. National Institute for Health Research [NF-SI-0611-10154] Funding Source: researchfish

向作者/读者索取更多资源

BACKGROUND: Predict (www.predict.nhs.uk) is an online, breast cancer prognostication and treatment benefit tool. The aim of this study was to incorporate the prognostic effect of HER2 status in a new version (Predict +), and to compare its performance with the original Predict and Adjuvantl. METHODS: The prognostic effect of HER2 status was based on an analysis of data from 10 179 breast cancer patients from 14 studies in the Breast Cancer Association Consortium. The hazard ratio estimates were incorporated into Predict. The validation study was based on 1653 patients with early-stage invasive breast cancer identified from the British Columbia Breast Cancer Outcomes Unit. Predicted overall survival (OS) and breast cancer-specific survival (BCSS) for Predict I, Predict and Adjuvant! were compared with observed outcomes. RESULTS: All three models performed well for both OS and BCSS. Both Predict models provided better BCSS estimates than Adjuvantl. In the subset of patients with HER2-positive tumours, Predict + performed substantially better than the other two models for both OS and BCSS. CONCLUSION: Predict + is the first clinical breast cancer prognostication tool that includes tumour HER2 status. Use of the model might lead to more accurate absolute treatment benefit predictions for individual patients. British Journal of Cancer (2012) 107, 800-807. doi:10.1038/bjc.2012.338 www.bjcancer.com Published online 31 July 2012 (C) 2012 Cancer Research UK

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