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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554496/ https://www.ncbi.nlm.nih.gov/pubmed/23034130 http://dx.doi.org/10.1186/1479-5876-10-205 |
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author | Galon, Jérôme Pagès, Franck Marincola, Francesco M Angell, Helen K Thurin, Magdalena Lugli, Alessandro Zlobec, Inti Berger, Anne Bifulco, Carlo Botti, Gerardo Tatangelo, Fabiana Britten, Cedrik M Kreiter, Sebastian Chouchane, Lotfi Delrio, Paolo Arndt, Hartmann Asslaber, Martin Maio, Michele Masucci, Giuseppe V Mihm, Martin Vidal-Vanaclocha, Fernando Allison, James P Gnjatic, Sacha Hakansson, Leif Huber, Christoph Singh-Jasuja, Harpreet Ottensmeier, Christian Zwierzina, Heinz Laghi, Luigi Grizzi, Fabio Ohashi, Pamela S Shaw, Patricia A Clarke, Blaise A Wouters, Bradly G Kawakami, Yutaka Hazama, Shoichi Okuno, Kiyotaka Wang, Ena O'Donnell-Tormey, Jill Lagorce, Christine Pawelec, Graham Nishimura, Michael I Hawkins, Robert Lapointe, Réjean Lundqvist, Andreas Khleif, Samir N Ogino, Shuji Gibbs, Peter Waring, Paul Sato, Noriyuki Torigoe, Toshihiko Itoh, Kyogo Patel, Prabhu S Shukla, Shilin N Palmqvist, Richard Nagtegaal, Iris D Wang, Yili D'Arrigo, Corrado Kopetz, Scott Sinicrope, Frank A Trinchieri, Giorgio Gajewski, Thomas F Ascierto, Paolo A Fox, Bernard A |
author_facet | Galon, Jérôme Pagès, Franck Marincola, Francesco M Angell, Helen K Thurin, Magdalena Lugli, Alessandro Zlobec, Inti Berger, Anne Bifulco, Carlo Botti, Gerardo Tatangelo, Fabiana Britten, Cedrik M Kreiter, Sebastian Chouchane, Lotfi Delrio, Paolo Arndt, Hartmann Asslaber, Martin Maio, Michele Masucci, Giuseppe V Mihm, Martin Vidal-Vanaclocha, Fernando Allison, James P Gnjatic, Sacha Hakansson, Leif Huber, Christoph Singh-Jasuja, Harpreet Ottensmeier, Christian Zwierzina, Heinz Laghi, Luigi Grizzi, Fabio Ohashi, Pamela S Shaw, Patricia A Clarke, Blaise A Wouters, Bradly G Kawakami, Yutaka Hazama, Shoichi Okuno, Kiyotaka Wang, Ena O'Donnell-Tormey, Jill Lagorce, Christine Pawelec, Graham Nishimura, Michael I Hawkins, Robert Lapointe, Réjean Lundqvist, Andreas Khleif, Samir N Ogino, Shuji Gibbs, Peter Waring, Paul Sato, Noriyuki Torigoe, Toshihiko Itoh, Kyogo Patel, Prabhu S Shukla, Shilin N Palmqvist, Richard Nagtegaal, Iris D Wang, Yili D'Arrigo, Corrado Kopetz, Scott Sinicrope, Frank A Trinchieri, Giorgio Gajewski, Thomas F Ascierto, Paolo A Fox, Bernard A |
author_sort | Galon, Jérôme |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-3554496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35544962013-01-29 Cancer classification using the Immunoscore: a worldwide task force Galon, Jérôme Pagès, Franck Marincola, Francesco M Angell, Helen K Thurin, Magdalena Lugli, Alessandro Zlobec, Inti Berger, Anne Bifulco, Carlo Botti, Gerardo Tatangelo, Fabiana Britten, Cedrik M Kreiter, Sebastian Chouchane, Lotfi Delrio, Paolo Arndt, Hartmann Asslaber, Martin Maio, Michele Masucci, Giuseppe V Mihm, Martin Vidal-Vanaclocha, Fernando Allison, James P Gnjatic, Sacha Hakansson, Leif Huber, Christoph Singh-Jasuja, Harpreet Ottensmeier, Christian Zwierzina, Heinz Laghi, Luigi Grizzi, Fabio Ohashi, Pamela S Shaw, Patricia A Clarke, Blaise A Wouters, Bradly G Kawakami, Yutaka Hazama, Shoichi Okuno, Kiyotaka Wang, Ena O'Donnell-Tormey, Jill Lagorce, Christine Pawelec, Graham Nishimura, Michael I Hawkins, Robert Lapointe, Réjean Lundqvist, Andreas Khleif, Samir N Ogino, Shuji Gibbs, Peter Waring, Paul Sato, Noriyuki Torigoe, Toshihiko Itoh, Kyogo Patel, Prabhu S Shukla, Shilin N Palmqvist, Richard Nagtegaal, Iris D Wang, Yili D'Arrigo, Corrado Kopetz, Scott Sinicrope, Frank A Trinchieri, Giorgio Gajewski, Thomas F Ascierto, Paolo A Fox, Bernard A J Transl Med Review 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). BioMed Central 2012-10-03 /pmc/articles/PMC3554496/ /pubmed/23034130 http://dx.doi.org/10.1186/1479-5876-10-205 Text en Copyright ©2012 Galon et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Galon, Jérôme Pagès, Franck Marincola, Francesco M Angell, Helen K Thurin, Magdalena Lugli, Alessandro Zlobec, Inti Berger, Anne Bifulco, Carlo Botti, Gerardo Tatangelo, Fabiana Britten, Cedrik M Kreiter, Sebastian Chouchane, Lotfi Delrio, Paolo Arndt, Hartmann Asslaber, Martin Maio, Michele Masucci, Giuseppe V Mihm, Martin Vidal-Vanaclocha, Fernando Allison, James P Gnjatic, Sacha Hakansson, Leif Huber, Christoph Singh-Jasuja, Harpreet Ottensmeier, Christian Zwierzina, Heinz Laghi, Luigi Grizzi, Fabio Ohashi, Pamela S Shaw, Patricia A Clarke, Blaise A Wouters, Bradly G Kawakami, Yutaka Hazama, Shoichi Okuno, Kiyotaka Wang, Ena O'Donnell-Tormey, Jill Lagorce, Christine Pawelec, Graham Nishimura, Michael I Hawkins, Robert Lapointe, Réjean Lundqvist, Andreas Khleif, Samir N Ogino, Shuji Gibbs, Peter Waring, Paul Sato, Noriyuki Torigoe, Toshihiko Itoh, Kyogo Patel, Prabhu S Shukla, Shilin N Palmqvist, Richard Nagtegaal, Iris D Wang, Yili D'Arrigo, Corrado Kopetz, Scott Sinicrope, Frank A Trinchieri, Giorgio Gajewski, Thomas F Ascierto, Paolo A Fox, Bernard A Cancer classification using the Immunoscore: a worldwide task force |
title | Cancer classification using the Immunoscore: a worldwide task force |
title_full | Cancer classification using the Immunoscore: a worldwide task force |
title_fullStr | Cancer classification using the Immunoscore: a worldwide task force |
title_full_unstemmed | Cancer classification using the Immunoscore: a worldwide task force |
title_short | Cancer classification using the Immunoscore: a worldwide task force |
title_sort | cancer classification using the immunoscore: a worldwide task force |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554496/ https://www.ncbi.nlm.nih.gov/pubmed/23034130 http://dx.doi.org/10.1186/1479-5876-10-205 |
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