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PMID: 23034130 Published · epublish English Journal Article Review

Cancer classification using the Immunoscore: a worldwide task force.

Journal of translational medicine ·Vol. 10 ·2012-10-03 ·Pages 205

Galon J, Pagès F, Marincola FM, Angell HK, Thurin M, Lugli A, Zlobec I, Berger A, Bifulco C, Botti G, Tatangelo F, Britten CM, Kreiter S, Chouchane L, Delrio P, Arndt H, Asslaber M, Maio M, Masucci GV, Mihm M, Vidal-Vanaclocha F, Allison JP, Gnjatic S, Hakansson L, Huber C, Singh-Jasuja H, Ottensmeier C, Zwierzina H, Laghi L, Grizzi F, Ohashi PS, Shaw PA, Clarke BA, Wouters BG, Kawakami Y, Hazama S, Okuno K, Wang E, O'Donnell-Tormey J, Lagorce C, Pawelec G, Nishimura MI, Hawkins R, Lapointe R, Lundqvist A, Khleif SN, Ogino S, Gibbs P, Waring P, Sato N, Torigoe T, Itoh K, Patel PS, Shukla SN, Palmqvist R, Nagtegaal ID, Wang Y, D'Arrigo C, Kopetz S, Sinicrope FA, Trinchieri G, Gajewski TF, Ascierto PA, Fox BA

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).

MeSH Terms
Advisory Committees Classification/methods Humans Internationality Neoplasms/classification,immunology,therapy Treatment Outcome Tumor Microenvironment
Authors & Affiliations
64 authors, click to expand affiliations / ORCID
Galon Jérôme
INSERM, U872, Laboratory of Integrative Cancer Immunology, Paris, F-75006, France. jerome.galon@crc.jussieu.fr
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
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Article Info
Journal
Journal of translational medicine
Abbr.
J Transl Med
ISSN
1479-5876
Published
2012-10-03
Epub
2012-00-03
Pages
205
Language
English
Region
England
NLM ID
101190741
PMCID
PMC3554496
Subset
IM
Grants
NCI NIH HHS · K05 CA142885 · United States
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