Cancer classification using the Immunoscore: a worldwide task force
Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining a...
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| Published in | Journal of translational medicine Vol. 10; no. 1; p. 205 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
BioMed Central Ltd
03.10.2012
BioMed Central BMC |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining and regional lymph nodes (N) and evidence for metastases (M). However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the 'Immunoscore' into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of this initiative, and of the J Transl Med. editorial from January 2012. Immunophenotyping of tumors may provide crucial novel prognostic information. The results of this international validation may result in the implementation of the Immunoscore as a new component for the classification of cancer, designated TNM-I (TNM-Immune). |
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| AbstractList | Doc number: 205 Abstract: Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining and regional lymph nodes (N) and evidence for metastases (M). However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the 'Immunoscore' into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of this initiative, and of the J Transl Med. editorial from January 2012. Immunophenotyping of tumors may provide crucial novel prognostic information. The results of this international validation may result in the implementation of the Immunoscore as a new component for the classification of cancer, designated TNM-I (TNM-Immune). Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining and regional lymph nodes (N) and evidence for metastases (M). However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the ‘Immunoscore’ into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of this initiative, and of the J Transl Med. editorial from January 2012. Immunophenotyping of tumors may provide crucial novel prognostic information. The results of this international validation may result in the implementation of the Immunoscore as a new component for the classification of cancer, designated TNM-I (TNM-Immune). Abstract Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining and regional lymph nodes (N) and evidence for metastases (M). However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the ‘Immunoscore’ into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of this initiative, and of the J Transl Med. editorial from January 2012. Immunophenotyping of tumors may provide crucial novel prognostic information. The results of this international validation may result in the implementation of the Immunoscore as a new component for the classification of cancer, designated TNM-I (TNM-Immune). |
| ArticleNumber | 205 |
| Audience | Academic |
| Author | Pawelec, Graham Lapointe, Réjean Hawkins, Robert D'Arrigo, Corrado Allison, James P Galon, Jérôme Huber, Christoph Gajewski, Thomas F Hakansson, Leif Arndt, Hartmann Maio, Michele Patel, Prabhu S Sinicrope, Frank A Kopetz, Scott Palmqvist, Richard Marincola, Francesco M Chouchane, Lotfi Grizzi, Fabio Masucci, Giuseppe V O'Donnell-Tormey, Jill Delrio, Paolo Hazama, Shoichi Gibbs, Peter Singh-Jasuja, Harpreet Botti, Gerardo Nagtegaal, Iris D Angell, Helen K Okuno, Kiyotaka Sato, Noriyuki Clarke, Blaise A Bifulco, Carlo Kawakami, Yutaka Lagorce, Christine Wang, Ena Ascierto, Paolo A Trinchieri, Giorgio Pagès, Franck Thurin, Magdalena Fox, Bernard A Kreiter, Sebastian Ottensmeier, Christian Wang, Yili Lugli, Alessandro Torigoe, Toshihiko Ogino, Shuji Tatangelo, Fabiana Laghi, Luigi Itoh, Kyogo Nishimura, Michael I Waring, Paul Zwierzina, Heinz Zlobec, Inti Berger, Anne Lundqvist, Andreas Wouters, Bradly G Britten, Cedrik M Shukla, Shilin N Mihm, Martin Gnjatic, Sacha Asslaber, Martin Vidal-Vanaclocha, Fernando Khleif, Samir N Shaw, Patricia A Ohashi, |
| AuthorAffiliation | 3 Centre de Recherche des Cordeliers, Université Pierre et Marie Curie Paris 6, Paris, France 12 Weill Cornell Medical College, Doha, Qatar 28 Division of Cellular Signaling, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan 30 Department of Surgery, Kinki University, School of Medicine, Osaka-sayama, Japan 7 Cancer Diagnosis Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA 11 TRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany 16 Division of Medical Oncology and Immunotherapy, University Hospital of Siena, Istituto Toscano Tumori, Siena, Italy 45 Department of Medical Biosciences, Pathology, Umea University, Umea, Sweden 27 Departments of Laboratory Medicine, Pathobiology & Radiation Oncology, Ontario Cancer Institute/Princess Margaret Cancer Centre, Toronto, ON, Canada 46 Pathology Department, Radboud University Nijmegen Medical Center, Nijme |
| AuthorAffiliation_xml | – name: 17 Department of Oncology-Pathology, Karolinska Institutet, Karolinska University, Stockholm, Sweden – name: 14 Department of Pathology, University of Erlangen, Erlangen, Germany – name: 32 Department of Pathology, Avicenne Hospital, AP-HP, Bobigny, France – name: 48 Department of Histopathology, Dorset County Hospital, DCHFT, NHS, Dorchester, UK – name: 38 Georgia Health Sciences University Cancer Center, Augusta, GA, USA – name: 41 Department of Pathology, The University of Melbourne, Melbourne, Australia – name: 21 University of Lund, Lund, Sweden – name: 26 Ontario Cancer Institute and Campbell Family Institute for Cancer Research, Princess Margaret Hospital, University Health Network, Toronto, ON, Canada – name: 16 Division of Medical Oncology and Immunotherapy, University Hospital of Siena, Istituto Toscano Tumori, Siena, Italy – name: 36 Research Center, University Hospital, Université de Montréal (CRCHUM), Montréal, Québec, Canada ; Institut du Cancer de Montréal, Montréal, Québec, Canada – name: 46 Pathology Department, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands – name: 31 Cancer Research Institute, New York, NY, USA – name: 18 Harvard Medical School and Massachusetts General Hospital, Boston, MA, 02114-2696, USA – name: 43 Department of Immunology and Immunotherapy, Kurume University School of Medicine, Kurume, Japan – name: 2 Université Paris Descartes, Paris, France – name: 4 Assistance Publique-Hopitaux de Paris, HEGP, Paris, France – name: 55 Laboratory of Molecular and Tumor Immunology, Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Portland Medical Center, Portland, OR, USA – name: 27 Departments of Laboratory Medicine, Pathobiology & Radiation Oncology, Ontario Cancer Institute/Princess Margaret Cancer Centre, Toronto, ON, Canada – name: 11 TRON - Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany – name: 24 Department Haematology and Oncology, Innsbruck Medical University, Innsbruck, Austria – name: 25 Molecular Gastroenterology and Department of Gastroenterology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy – name: 39 Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA – name: 52 University of Chicago, Chicago, IL, USA – name: 28 Division of Cellular Signaling, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan – name: 1 INSERM, U872, Laboratory of Integrative Cancer Immunology, Paris, F-75006, France – name: 20 Ludwig Institute for Cancer Research, Memorial Sloan-Kettering Cancer Center, New York, NY, USA – name: 47 Institute for Cancer Research, Center of Translational medicine, Xi’an Jiaotong university, Xian, China – name: 15 Institute of Pathology, Medical University of Graz, Graz, Austria – name: 3 Centre de Recherche des Cordeliers, Université Pierre et Marie Curie Paris 6, Paris, France – name: 44 The Gujarat Cancer & Research Institute, Asarwa, Ahmedabad, India – name: 29 Department of Digestive Surgery and Surgical Oncology, Yamaguchi University, Graduate School of Medicine, Yamaguchi, Japan – name: 49 MD Anderson Cancer Center, Houston, TX, USA – name: 56 Department of Molecular Microbiology and Immunology, Oregon Health and Science University, Portland, OR, USA – name: 19 CEU-San Pablo University School of Medicine and HM-Hospital of Madrid Scientific Foundation, Institute of Applied Molecular Medicine (IMMA), Madrid, Spain – name: 50 Mayo Clinic and Mayo College of Medicine, Rochester, MN, 55905, USA – name: 34 Oncology Institute, Loyola University Medical Center, Cardinal Bernardin Cancer Center, Maywood, IL, USA – name: 30 Department of Surgery, Kinki University, School of Medicine, Osaka-sayama, Japan – name: 35 School of Cancer and Imaging Sciences, University of Manchester, Christie Hospital NHS Trust, Manchester, UK – name: 22 Immatics Biotechnologies GmbH, Tübingen, Germany – name: 45 Department of Medical Biosciences, Pathology, Umea University, Umea, Sweden – name: 7 Cancer Diagnosis Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA – name: 13 Colorectal Surgery Department, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione G.Pascale", Naples, Italy – name: 33 Center for Medical Research, University of Tuebingen, Tuebingen, Germany – name: 37 Karolinska Institutet Department of Oncology-Pathology, Stockholm, Sweden – name: 9 Department of Pathology, Providence Portland Medical Center, Portland, OR, USA – name: 23 Experimental Cancer Medicine Centre, University of Southampton Faculty of Medicine, Southampton, United Kingdom – name: 8 Institute of Pathology, University of Bern, Bern, 3010, Switzerland – name: 54 Fondazione Melanoma Onlus, Napoli, Italy – name: 5 Society for Immunotherapy of Cancer, Milwaukee, WI, USA – name: 40 Department of Medical Oncology, Royal Melbourne Hospital, Melbourne, Australia – name: 12 Weill Cornell Medical College, Doha, Qatar – name: 6 Infectious Disease and Immunogenetics Section (IDIS), Clinical Center and trans-NIH Center for Human Immunology (CHI), National Institutes of Health, Bethesda, Maryland, USA – name: 42 Department of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan – name: 53 Medical Oncology and Innovative Therapies Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, "Fondazione G. Pascale", Napoli, Italy – name: 10 Department of Pathology, Istituto Nazionale per lo Studio e la Cura dei Tumori "Fondazione G.Pascale", Naples, Italy – name: 51 Cancer Inflammation Program, Center for Cancer Research, National Cancer Institute and Trans-NIH Center for Human Immunology (CHI), National Institutes of Health, Frederick and Bethesda, Maryland, USA |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/23034130$$D View this record in MEDLINE/PubMed https://inserm.hal.science/inserm-00780742$$DView record in HAL https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-67413$$DView record from Swedish Publication Index http://kipublications.ki.se/Default.aspx?queryparsed=id:126177439$$DView record from Swedish Publication Index |
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| Title | Cancer classification using the Immunoscore: a worldwide task force |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/23034130 https://www.proquest.com/docview/1272323579/abstract/ https://search.proquest.com/docview/1282041386 http://dx.doi.org/10.1186/1479-5876-10-205 https://inserm.hal.science/inserm-00780742 https://pubmed.ncbi.nlm.nih.gov/PMC3554496 https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-67413 http://kipublications.ki.se/Default.aspx?queryparsed=id:126177439 https://doaj.org/article/1cc05322536f4e12a15612df8f575f17 |
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