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Sökning: onr:"swepub:oai:DiVA.org:umu-67413" > Cancer classificati...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006249naa a2201081 4500
001oai:DiVA.org:umu-67413
003SwePub
008130318s2012 | |||||||||||000 ||eng|
009oai:prod.swepub.kib.ki.se:126177439
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-674132 URI
0247 a https://doi.org/10.1186/1479-5876-10-2052 DOI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1261774392 URI
040 a (SwePub)umud (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a for2 swepub-publicationtype
1001 a Galon, Jerome4 aut
2451 0a Cancer classification using the Immunoscore :b a worldwide task force
264 c 2012-10-03
264 1b Springer Science and Business Media LLC,c 2012
338 a electronic2 rdacarrier
520 a 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).
7001 a Pages, Franck4 aut
7001 a Marincola, Francesco M.4 aut
7001 a Angell, Helen K.4 aut
7001 a Thurin, Magdalena4 aut
7001 a Lugli, Alessandro4 aut
7001 a Zlobec, Inti4 aut
7001 a Berger, Anne4 aut
7001 a Bifulco, Carlo4 aut
7001 a Botti, Gerardo4 aut
7001 a Tatangelo, Fabiana4 aut
7001 a Britten, Cedrik M.4 aut
7001 a Kreiter, Sebastian4 aut
7001 a Chouchane, Lotfi4 aut
7001 a Delrio, Paolo4 aut
7001 a Arndt, Hartmann4 aut
7001 a Asslaber, Martin4 aut
7001 a Maio, Michele4 aut
7001 a Masucci, Giuseppe V.u Karolinska Institutet4 aut
7001 a Mihm, Martin4 aut
7001 a Vidal-Vanaclocha, Fernando4 aut
7001 a Allison, James P.4 aut
7001 a Gnjatic, Sacha4 aut
7001 a Hakansson, Leif4 aut
7001 a Huber, Christoph4 aut
7001 a Singh-Jasuja, Harpreet4 aut
7001 a Ottensmeier, Christian4 aut
7001 a Zwierzina, Heinz4 aut
7001 a Laghi, Luigi4 aut
7001 a Grizzi, Fabio4 aut
7001 a Ohashi, Pamela S.4 aut
7001 a Shaw, Patricia A.4 aut
7001 a Clarke, Blaise A.4 aut
7001 a Wouters, Bradly G.4 aut
7001 a Kawakami, Yutaka4 aut
7001 a Hazama, Shoichi4 aut
7001 a Okuno, Kiyotaka4 aut
7001 a Wang, Ena4 aut
7001 a O'Donnell-Tormey, Jill4 aut
7001 a Lagorce, Christine4 aut
7001 a Pawelec, Graham4 aut
7001 a Nishimura, Michael I.4 aut
7001 a Hawkins, Robert4 aut
7001 a Lapointe, Rejean4 aut
7001 a Lundqvist, Andreasu Karolinska Institutet4 aut
7001 a Khleif, Samir N.4 aut
7001 a Ogino, Shuji4 aut
7001 a Gibbs, Peter4 aut
7001 a Waring, Paul4 aut
7001 a Sato, Noriyuki4 aut
7001 a Torigoe, Toshihiko4 aut
7001 a Itoh, Kyogo4 aut
7001 a Patel, Prabhu S.4 aut
7001 a Shukla, Shilin N.4 aut
7001 a Palmqvist, Richardu Umeå universitet,Patologi4 aut0 (Swepub:umu)ripa0001
7001 a Nagtegaal, Iris D.4 aut
7001 a Wang, Yili4 aut
7001 a D'Arrigo, Corrado4 aut
7001 a Kopetz, Scott4 aut
7001 a Sinicrope, Frank A.4 aut
7001 a Trinchieri, Giorgio4 aut
7001 a Gajewski, Thomas F.4 aut
7001 a Ascierto, Paolo A.4 aut
7001 a Fox, Bernard A.4 aut
7102 a Karolinska Institutetb Patologi4 org
7730 t Journal of Translational Medicined : Springer Science and Business Media LLCg 10, s. 205-q 10<205-x 1479-5876
8564 u https://umu.diva-portal.org/smash/get/diva2:615070/FULLTEXT02.pdfx primaryx Raw objecty fulltext:print
8564 u https://translational-medicine.biomedcentral.com/track/pdf/10.1186/1479-5876-10-205
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-67413
8564 8u https://doi.org/10.1186/1479-5876-10-205
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:126177439

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