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Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy
As cancer strikes, individuals vary not only in terms of factors that contribute to its occurrence and development, but as importantly, in their capacity to respond to treatment. While exciting new therapeutic options that mobilize the immune system against cancer have led to breakthroughs for a var...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432988/ https://www.ncbi.nlm.nih.gov/pubmed/28515944 http://dx.doi.org/10.1186/s40425-017-0243-4 |
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author | Gnjatic, Sacha Bronte, Vincenzo Brunet, Laura Rosa Butler, Marcus O. Disis, Mary L. Galon, Jérôme Hakansson, Leif G. Hanks, Brent A. Karanikas, Vaios Khleif, Samir N. Kirkwood, John M. Miller, Lance D. Schendel, Dolores J. Tanneau, Isabelle Wigginton, Jon M. Butterfield, Lisa H. |
author_facet | Gnjatic, Sacha Bronte, Vincenzo Brunet, Laura Rosa Butler, Marcus O. Disis, Mary L. Galon, Jérôme Hakansson, Leif G. Hanks, Brent A. Karanikas, Vaios Khleif, Samir N. Kirkwood, John M. Miller, Lance D. Schendel, Dolores J. Tanneau, Isabelle Wigginton, Jon M. Butterfield, Lisa H. |
author_sort | Gnjatic, Sacha |
collection | PubMed |
description | As cancer strikes, individuals vary not only in terms of factors that contribute to its occurrence and development, but as importantly, in their capacity to respond to treatment. While exciting new therapeutic options that mobilize the immune system against cancer have led to breakthroughs for a variety of malignancies, success is limited to a subset of patients. Pre-existing immunological features of both the host and the tumor may contribute to how patients will eventually fare with immunotherapy. A broad understanding of baseline immunity, both in the periphery and in the tumor microenvironment, is needed in order to fully realize the potential of cancer immunotherapy. Such interrogation of the tumor, blood, and host immune parameters prior to treatment is expected to identify biomarkers predictive of clinical outcome as well as to elucidate why some patients fail to respond to immunotherapy. To approach these opportunities for progress, the Society for Immunotherapy of Cancer (SITC) reconvened the Immune Biomarkers Task Force. Comprised of an international multidisciplinary panel of experts, Working Group 4 sought to make recommendations that focus on the complexity of the tumor microenvironment, with its diversity of immune genes, proteins, cells, and pathways naturally present at baseline and in circulation, and novel tools to aid in such broad analyses. |
format | Online Article Text |
id | pubmed-5432988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54329882017-05-17 Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy Gnjatic, Sacha Bronte, Vincenzo Brunet, Laura Rosa Butler, Marcus O. Disis, Mary L. Galon, Jérôme Hakansson, Leif G. Hanks, Brent A. Karanikas, Vaios Khleif, Samir N. Kirkwood, John M. Miller, Lance D. Schendel, Dolores J. Tanneau, Isabelle Wigginton, Jon M. Butterfield, Lisa H. J Immunother Cancer Review As cancer strikes, individuals vary not only in terms of factors that contribute to its occurrence and development, but as importantly, in their capacity to respond to treatment. While exciting new therapeutic options that mobilize the immune system against cancer have led to breakthroughs for a variety of malignancies, success is limited to a subset of patients. Pre-existing immunological features of both the host and the tumor may contribute to how patients will eventually fare with immunotherapy. A broad understanding of baseline immunity, both in the periphery and in the tumor microenvironment, is needed in order to fully realize the potential of cancer immunotherapy. Such interrogation of the tumor, blood, and host immune parameters prior to treatment is expected to identify biomarkers predictive of clinical outcome as well as to elucidate why some patients fail to respond to immunotherapy. To approach these opportunities for progress, the Society for Immunotherapy of Cancer (SITC) reconvened the Immune Biomarkers Task Force. Comprised of an international multidisciplinary panel of experts, Working Group 4 sought to make recommendations that focus on the complexity of the tumor microenvironment, with its diversity of immune genes, proteins, cells, and pathways naturally present at baseline and in circulation, and novel tools to aid in such broad analyses. BioMed Central 2017-05-16 /pmc/articles/PMC5432988/ /pubmed/28515944 http://dx.doi.org/10.1186/s40425-017-0243-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Gnjatic, Sacha Bronte, Vincenzo Brunet, Laura Rosa Butler, Marcus O. Disis, Mary L. Galon, Jérôme Hakansson, Leif G. Hanks, Brent A. Karanikas, Vaios Khleif, Samir N. Kirkwood, John M. Miller, Lance D. Schendel, Dolores J. Tanneau, Isabelle Wigginton, Jon M. Butterfield, Lisa H. Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy |
title | Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy |
title_full | Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy |
title_fullStr | Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy |
title_full_unstemmed | Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy |
title_short | Identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy |
title_sort | identifying baseline immune-related biomarkers to predict clinical outcome of immunotherapy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432988/ https://www.ncbi.nlm.nih.gov/pubmed/28515944 http://dx.doi.org/10.1186/s40425-017-0243-4 |
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