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The prognostic impact of anti-cancer immune response: a novel classification of cancer patients
Until now, the anatomic extent of tumor (TNM classification) has been, by far, the most important factor to predict the prognosis of colorectal cancer patients. However, in recent years, data collected from large cohorts of human cancers demonstrated that the immune contexture of the primary tumors...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3139059/ https://www.ncbi.nlm.nih.gov/pubmed/21461991 http://dx.doi.org/10.1007/s00281-011-0264-x |
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author | Bindea, Gabriela Mlecnik, Bernhard Fridman, Wolf-Herman Galon, Jérôme |
author_facet | Bindea, Gabriela Mlecnik, Bernhard Fridman, Wolf-Herman Galon, Jérôme |
author_sort | Bindea, Gabriela |
collection | PubMed |
description | Until now, the anatomic extent of tumor (TNM classification) has been, by far, the most important factor to predict the prognosis of colorectal cancer patients. However, in recent years, data collected from large cohorts of human cancers demonstrated that the immune contexture of the primary tumors is an essential prognostic factor for patients' disease-free and overall survival. Global analysis of tumor microenvironment showed that the nature, the functional orientation, the density, and the location of adaptive immune cells within distinct tumor regions influence the risk of relapse events. An immune classification of the patients was proposed based on the density and the immune cell location within the tumor. The immune classification has a prognostic value that is superior to the TNM classification, and tumor invasion is statistically dependent on the host immune reaction. Tumor and immunological markers predicted by systems biology methods are involved in the shaping of an efficient immune reaction and can serve as targets for novel therapeutic approaches. Thus, the strength of the immune reaction could advance our understanding of cancer evolution and have important consequences in clinical practice. |
format | Online Article Text |
id | pubmed-3139059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-31390592011-08-26 The prognostic impact of anti-cancer immune response: a novel classification of cancer patients Bindea, Gabriela Mlecnik, Bernhard Fridman, Wolf-Herman Galon, Jérôme Semin Immunopathol Review Until now, the anatomic extent of tumor (TNM classification) has been, by far, the most important factor to predict the prognosis of colorectal cancer patients. However, in recent years, data collected from large cohorts of human cancers demonstrated that the immune contexture of the primary tumors is an essential prognostic factor for patients' disease-free and overall survival. Global analysis of tumor microenvironment showed that the nature, the functional orientation, the density, and the location of adaptive immune cells within distinct tumor regions influence the risk of relapse events. An immune classification of the patients was proposed based on the density and the immune cell location within the tumor. The immune classification has a prognostic value that is superior to the TNM classification, and tumor invasion is statistically dependent on the host immune reaction. Tumor and immunological markers predicted by systems biology methods are involved in the shaping of an efficient immune reaction and can serve as targets for novel therapeutic approaches. Thus, the strength of the immune reaction could advance our understanding of cancer evolution and have important consequences in clinical practice. Springer-Verlag 2011-04-05 2011 /pmc/articles/PMC3139059/ /pubmed/21461991 http://dx.doi.org/10.1007/s00281-011-0264-x Text en © The Author(s) 2011 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Review Bindea, Gabriela Mlecnik, Bernhard Fridman, Wolf-Herman Galon, Jérôme The prognostic impact of anti-cancer immune response: a novel classification of cancer patients |
title | The prognostic impact of anti-cancer immune response: a novel classification of cancer patients |
title_full | The prognostic impact of anti-cancer immune response: a novel classification of cancer patients |
title_fullStr | The prognostic impact of anti-cancer immune response: a novel classification of cancer patients |
title_full_unstemmed | The prognostic impact of anti-cancer immune response: a novel classification of cancer patients |
title_short | The prognostic impact of anti-cancer immune response: a novel classification of cancer patients |
title_sort | prognostic impact of anti-cancer immune response: a novel classification of cancer patients |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3139059/ https://www.ncbi.nlm.nih.gov/pubmed/21461991 http://dx.doi.org/10.1007/s00281-011-0264-x |
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