The International Collaboration for Cancer Classification and Research

被引:40
作者
Cree, Ian A. [1 ]
Indave Ruiz, Blanca Iciar [1 ]
Zavadil, Jiri [1 ]
McKay, James [1 ]
Olivier, Magali [1 ]
Kozlakidis, Zisis [1 ]
Lazar, Alexander J. [2 ,3 ,4 ]
Hyde, Chris [5 ]
Holdenrieder, Stefan [6 ]
Hastings, Ros [7 ]
Rajpoot, Nasir [8 ,9 ,10 ]
de la Fouchardiere, Arnaud [11 ]
Rous, Brian [12 ]
Zenklusen, Jean Claude [13 ]
Normanno, Nicola [14 ]
Schilsky, Richard L. [15 ]
机构
[1] World Hlth Org WHO, IARC, 150 Cours Albert Thomas, F-69372 Lyon 08, France
[2] Univ Texas MD Anderson Canc Ctr, Dept Pathol, Houston, TX 77030 USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Genom Med, Houston, TX 77030 USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Translat Mol Pathol, Houston, TX 77030 USA
[5] Univ Exeter, Coll Med & Hlth, Exeter Test Grp, Exeter, Devon, England
[6] German Heart Ctr Munich, Inst Lab Med, Munich, Germany
[7] Oxford Univ Hosp NHS Fdn Trust, Womens Ctr John Radcliffe Hosp, GenQA Gen External Qual Assessment, Oxford, England
[8] Univ Warwick, Dept Comp Sci, Coventry, W Midlands, England
[9] Alan Turing Inst, London, England
[10] Univ Hosp Coventry & Warwickshire NHS Trust, Dept Pathol, Coventry, W Midlands, England
[11] Leon Berard Ctr, Dept Biopathol, Lyon, France
[12] Publ Hlth England, Natl Canc Registrat Serv, Eastern Off, Victoria House, Cambridge, England
[13] NCI, Ctr Canc Genom, NIH, Bethesda, MD 20892 USA
[14] IRCCS Fdn G Pascale, Ist Nazl Tumori, Cell Biol & Biotherapy Unit, Via M Semmola, Naples, Italy
[15] Amer Soc Clin Oncol, Alexandria, VA USA
关键词
cancer research; evidence-based pathology; International Agency for Research on Cancer (IARC); international standards; WHO Tumour Classification; LABORATORY STANDARDS; QUALITY; ORGANIZATION; IMPROVEMENT; REVIEWS; GUIDE;
D O I
10.1002/ijc.33260
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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 ((ICR)-R-3) 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 (ICR)-R-3 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.
引用
收藏
页码:560 / 571
页数:12
相关论文
共 63 条
[1]   Understanding preanalytical variables and their effects on clinical biomarkers of oncology and immunotherapy [J].
Agrawal, Lokesh ;
Engel, Kelly B. ;
Greytak, Sarah R. ;
Moore, Helen M. .
SEMINARS IN CANCER BIOLOGY, 2018, 52 :26-38
[2]   Complete Digital Pathology for Routine Histopathology Diagnosis in a Multicenter Hospital Network [J].
Antonio Retamero, Juan ;
Aneiros-Fernandez, Jose ;
del Moral, Raimundo G. .
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE, 2020, 144 (02) :221-228
[3]   College of American Pathologists' Laboratory Standards for Next-Generation Sequencing Clinical Tests [J].
Aziz, Nazneen ;
Zhao, Qin ;
Bry, Lynn ;
Driscoll, Denise K. ;
Funke, Birgit ;
Gibson, Jane S. ;
Grody, Wayne W. ;
Hegde, Madhuri R. ;
Hoeltge, Gerald A. ;
Leonard, Debra G. B. ;
Merker, Jason D. ;
Nagarajan, Rakesh ;
Palicki, Linda A. ;
Robetorye, Ryan S. ;
Schrijver, Iris ;
Weck, Karen E. ;
Voelkerding, Karl V. .
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE, 2015, 139 (04) :481-493
[4]   Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival [J].
Beck, Andrew H. ;
Sangoi, Ankur R. ;
Leung, Samuel ;
Marinelli, Robert J. ;
Nielsen, Torsten O. ;
van de Vijver, Marc J. ;
West, Robert B. ;
van de Rijn, Matt ;
Koller, Daphne .
SCIENCE TRANSLATIONAL MEDICINE, 2011, 3 (108)
[5]   Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer [J].
Bejnordi, Babak Ehteshami ;
Veta, Mitko ;
van Diest, Paul Johannes ;
van Ginneken, Bram ;
Karssemeijer, Nico ;
Litjens, Geert ;
van der Laak, Jeroen A. W. M. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2017, 318 (22) :2199-2210
[6]  
Bossuyt PM, 2015, BMJ-BRIT MED J, V351, DOI [10.1136/bmj.h5527, 10.1148/radiol.2015151516, 10.1373/clinchem.2015.246280]
[7]   Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative [J].
Bossuyt, PM ;
Reitsma, JB ;
Bruns, DE ;
Gatsonis, CA ;
Glasziou, PP ;
Irwig, LM ;
Lijmer, JG ;
Moher, D ;
Rennie, D ;
de Vet, HCW .
FAMILY PRACTICE, 2004, 21 (01) :4-10
[8]  
Bramesfeld AAM, 2016, PLENARY ECIBC 2015 I
[9]   Minimum information about a microarray experiment (MIAME) - toward standards for microarray data [J].
Brazma, A ;
Hingamp, P ;
Quackenbush, J ;
Sherlock, G ;
Spellman, P ;
Stoeckert, C ;
Aach, J ;
Ansorge, W ;
Ball, CA ;
Causton, HC ;
Gaasterland, T ;
Glenisson, P ;
Holstege, FCP ;
Kim, IF ;
Markowitz, V ;
Matese, JC ;
Parkinson, H ;
Robinson, A ;
Sarkans, U ;
Schulze-Kremer, S ;
Stewart, J ;
Taylor, R ;
Vilo, J ;
Vingron, M .
NATURE GENETICS, 2001, 29 (04) :365-371
[10]  
Cieslik M, 2020, NATURE, V578, P39, DOI 10.1038/d41586-020-00213-2