The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Cancer classification using the Immunoscore: a worldwide task force
Open accessAbstract
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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Citations
Cites
The immune contexture in human tumours: impact on clinical outcome
Fridman, W. H., Pagès, F., Sautès-Fridman, C., & Galon, J. (2012) · Nature reviews. Cancer · doi:10.1038/nrc3245 · Cited by 4,981
Self-citationCentral Memory and Effector Memory T Cell Subsets: Function, Generation, and Maintenance
Sallusto, F., Geginat, J., & Lanzavecchia, A. (2004) · Annual Review of Immunology · doi:10.1146/annurev.immunol.22.012703.104702 · Cited by 3,067
Effector Memory T Cells, Early Metastasis, and Survival in Colorectal Cancer
Pagès, F., Berger, A., Camus, M., Sanchez-Cabo, F., Costes, A., Molidor, R., Mlecnik, B., Kirilovsky, A., Nilsson, M., Damotte, D., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa051424 · Cited by 2,135 · cited 10×
“This was particularly illustrated in CRC [5,9,13,14,19], and should be applicable to most human tumors [23].”
BackgroundInfluentialSelf-citation
Cited by
Innate and adaptive immune cells in the tumor microenvironment
Gajewski, T. F., Schreiber, H., & Fu, Y.-X. (2013) · Nature Immunology · doi:10.1038/ni.2703 · Cited by 4,148
Self-citationBrenner, H., Kloor, M., & Pox, C. P. (2014) · The Lancet · doi:10.1016/s0140-6736(13)61649-9 · Cited by 2,762
The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy
Bruni, D., Angell, H. K., & Galon, J. (2020) · Nature reviews. Cancer · doi:10.1038/s41568-020-0285-7 · Cited by 1,586
Corrales, L., Glickman, L. H., McWhirter, S. M., Kanne, D. B., Sivick, K. E., Katibah, G. E., Woo, S.-R., Lemmens, E., Banda, T., Leong, J. J., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.04.031 · Cited by 1,560
Self-citationTowards the introduction of the ‘Immunoscore’ in the classification of malignant tumours
Galon, J., Mlecnik, B., Bindea, G., Angell, H. K., Berger, A., Lagorce, C., Lugli, A., Zlobec, I., Hartmann, A., Bifulco, C., et al. (2014) · The Journal of Pathology · doi:10.1002/path.4287 · Cited by 1,360
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Metadata
- Authors
- Galon, J., Pagès, F., Marincola, F. M., Angell, H. K., Thurin, M., Lugli, A., Zlobec, I., Berger, A., Bifulco, C., Botti, G., Tatangelo, F., Britten, C. M., Kreiter, S., Chouchane, L., Delrio, P., Arndt, H., Asslaber, M., Maio, M., Masucci, G. V., Mihm, M., Vidal-Vanaclocha, F., Allison, J. P., Gnjatic, S., Hakansson, L., Huber, C., Singh-Jasuja, H., Ottensmeier, C., Zwierzina, H., Laghi, L., Grizzi, F., Ohashi, P. S., Shaw, P. A., Clarke, B. A., Wouters, B. G., Kawakami, Y., Hazama, S., Okuno, K., Wang, E., O'Donnell-Tormey, J., Lagorce, C., Pawelec, G., Nishimura, M. I., Hawkins, R., Lapointe, R., Lundqvist, A., Khleif, S. N., Ogino, S., Gibbs, P., Waring, P., Sato, N., Torigoe, T., Itoh, K., Patel, P. S., Shukla, S. N., Palmqvist, R., Nagtegaal, I. D., Wang, Y., D'Arrigo, C., Kopetz, S., Sinicrope, F. A., Trinchieri, G., Gajewski, T. F., Ascierto, P. A., & Fox, B. A.
- Venue
- Journal of Translational Medicine
- Published
- 2012-10-03
- Volume
- 10
- Issue
- 1
- Pages
- 205-205
- ISSN
- 1479-5876 (ISSN-L)
- OpenAlex
- W2119301589
- Cited by
- 791
- References
- 3
- FWCI
- 23.43
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Galon, J., Pagès, F., Marincola, F. M., Angell, H. K., Thurin, M., Lugli, A., Zlobec, I., Berger, A., Bifulco, C., Botti, G., Tatangelo, F., Britten, C. M., Kreiter, S., Chouchane, L., Delrio, P., Arndt, H., Asslaber, M., Maio, M., Masucci, G. V., . . . Fox, B. A. (2012). Cancer classification using the Immunoscore: a worldwide task force. Journal of Translational Medicine. https://doi.org/10.1186/1479-5876-10-205
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