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The International Collaboration for Cancer Classification and Research
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,...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756795/ https://www.ncbi.nlm.nih.gov/pubmed/32818326 http://dx.doi.org/10.1002/ijc.33260 |
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author | 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. |
author_facet | 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. |
author_sort | Cree, Ian A. |
collection | PubMed |
description | 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 (IC(3)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 IC(3)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. |
format | Online Article Text |
id | pubmed-7756795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77567952020-12-28 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. Int J Cancer Special Report 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 (IC(3)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 IC(3)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. John Wiley & Sons, Inc. 2020-10-09 2021-02-01 /pmc/articles/PMC7756795/ /pubmed/32818326 http://dx.doi.org/10.1002/ijc.33260 Text en © 2020 International Agency for Research on Cancer (IARC/WHO); licensed by UICC. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License IARC's preferred IGO license is the non‐commercial: https://creativecommons.org/licenses/by-nc/3.0/igo/legalcode which permits non‐commercial unrestricted use, distribution and reproduction in any medium, provided that the original work is properly cited. In any reproduction of this article there should not be any suggestion that IARC/WHO or the article endorse any specific organization or products. The use of the IARC/WHO logo is not permitted. This notice should be preserved along with the article's URL. |
spellingShingle | Special Report 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. The International Collaboration for Cancer Classification and Research |
title | The International Collaboration for Cancer Classification and Research |
title_full | The International Collaboration for Cancer Classification and Research |
title_fullStr | The International Collaboration for Cancer Classification and Research |
title_full_unstemmed | The International Collaboration for Cancer Classification and Research |
title_short | The International Collaboration for Cancer Classification and Research |
title_sort | international collaboration for cancer classification and research |
topic | Special Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756795/ https://www.ncbi.nlm.nih.gov/pubmed/32818326 http://dx.doi.org/10.1002/ijc.33260 |
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