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The International Collaboration for Cancer Classification and Research.
Cree, Ian A; Indave Ruiz, Blanca Iciar; Zavadil, Jiri; McKay, James; Olivier, Magali; Kozlakidis, Zisis; Lazar, Alexander J; Hyde, Chris; Holdenrieder, Stefan; Hastings, Ros; Rajpoot, Nasir; de la Fouchardiere, Arnaud; Rous, Brian; Zenklusen, Jean Claude; Normanno, Nicola; Schilsky, Richard L.
Afiliação
  • Cree IA; International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France.
  • Indave Ruiz BI; International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France.
  • Zavadil J; International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France.
  • McKay J; International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France.
  • Olivier M; International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France.
  • Kozlakidis Z; International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France.
  • Lazar AJ; Departments of Pathology, Genomic Medicine, and Translational Molecular Pathology, The University of Texas, MD Anderson Cancer Center, Houston, Texas, USA.
  • Hyde C; Exeter Test Group, College of Medicine and Health, University of Exeter, Exeter, UK.
  • Holdenrieder S; Institute of Laboratory Medicine, German Heart Centre Munich, Munich, Germany.
  • Hastings R; GenQA (Genomics External Quality Assessment), Women's Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Rajpoot N; Department of Computer Science, University of Warwick, Coventry, UK.
  • de la Fouchardiere A; Alan Turing Institute, London, UK.
  • Rous B; Department of Pathology, University Hospitals Coventry & Warwickshire NHS Trust, Coventry, UK.
  • Zenklusen JC; Department of Biopathology, Léon Bérard Center, Lyon, France.
  • Normanno N; National Cancer Registration Service (Eastern Office), Public Health England, Victoria House, Cambridge, UK.
  • Schilsky RL; Center for Cancer Genomics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Int J Cancer ; 148(3): 560-571, 2021 02 01.
Article em En | MEDLINE | ID: mdl-32818326
ABSTRACT
Gaps in the translation of research findings to clinical management have been recognized for decades. They exist for the diagnosis as well as the management of cancer. The international standards for cancer diagnosis are contained within the World Health Organization (WHO) Classification of Tumours, published by the International Agency for Research on Cancer (IARC) and known worldwide as the WHO Blue Books. In addition to their relevance to individual patients, these volumes provide a valuable contribution to cancer research and surveillance, fulfilling an important role in scientific evidence synthesis and international standard setting. However, the multidimensional nature of cancer classification, the way in which the WHO Classification of Tumours is constructed, and the scientific information overload in the field pose important challenges for the translation of research findings to tumour classification and hence cancer diagnosis. To help address these challenges, we have established the International Collaboration for Cancer Classification and Research (IC3 R) to provide a forum for the coordination of efforts in evidence generation, standard setting and best practice recommendations in the field of tumour classification. The first IC3 R meeting, held in Lyon, France, in February 2019, gathered representatives of major institutions involved in tumour classification and related fields to identify and discuss translational challenges in data comparability, standard setting, quality management, evidence evaluation and copyright, as well as to develop a collaborative plan for addressing these challenges.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article