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An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation.
Candido Dos Reis, Francisco J; Wishart, Gordon C; Dicks, Ed M; Greenberg, David; Rashbass, Jem; Schmidt, Marjanka K; van den Broek, Alexandra J; Ellis, Ian O; Green, Andrew; Rakha, Emad; Maishman, Tom; Eccles, Diana M; Pharoah, Paul D P.
Afiliação
  • Candido Dos Reis FJ; Department of Gynaecology and Obstetrics, Ribeirao Preto Medical School, University of Sao Paulo, Sao Paulo, Brazil.
  • Wishart GC; Faculty of Medical Science, Anglia Ruskin University, Cambridge, UK.
  • Dicks EM; Department of Oncology, University of Cambridge, Cambridge, UK.
  • Greenberg D; National Cancer Registration and Analysis Service, Public Health England, London, UK.
  • Rashbass J; National Cancer Registration and Analysis Service, Public Health England, London, UK.
  • Schmidt MK; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • van den Broek AJ; Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Ellis IO; Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Green A; Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
  • Rakha E; Division of Cancer and Stem Cells, School of Medicine, University of Nottingham and Nottingham University Hospitals NHS Trust, City Hospital, Nottingham, UK.
  • Maishman T; Division of Cancer and Stem Cells, School of Medicine, University of Nottingham and Nottingham University Hospitals NHS Trust, City Hospital, Nottingham, UK.
  • Eccles DM; Division of Cancer and Stem Cells, School of Medicine, University of Nottingham and Nottingham University Hospitals NHS Trust, City Hospital, Nottingham, UK.
  • Pharoah PDP; Cancer Sciences Academic Unit and Southampton Clinical Trials Unit, Faculty of Medicine, University of Southampton and University Hospital Southampton Foundation Trust, Southampton, UK.
Breast Cancer Res ; 19(1): 58, 2017 05 22.
Article em En | MEDLINE | ID: mdl-28532503
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prognóstico / Neoplasias da Mama / Receptor alfa de Estrogênio Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans Idioma: En Revista: Breast Cancer Res Assunto da revista: NEOPLASIAS Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prognóstico / Neoplasias da Mama / Receptor alfa de Estrogênio Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans Idioma: En Revista: Breast Cancer Res Assunto da revista: NEOPLASIAS Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido