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Novel Biomarkers for Personalized Cancer Immunotherapy
Cancer immunotherapy has emerged as a novel and effective treatment strategy for several types of cancer. Immune checkpoint inhibitors (ICIs) have recently demonstrated impressive clinical benefit in some advanced cancers. Nonetheless, in the majority of patients, the successful use of ICIs is limit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6770350/ https://www.ncbi.nlm.nih.gov/pubmed/31443339 http://dx.doi.org/10.3390/cancers11091223 |
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author | Shindo, Yoshitaro Hazama, Shoichi Tsunedomi, Ryouichi Suzuki, Nobuaki Nagano, Hiroaki |
author_facet | Shindo, Yoshitaro Hazama, Shoichi Tsunedomi, Ryouichi Suzuki, Nobuaki Nagano, Hiroaki |
author_sort | Shindo, Yoshitaro |
collection | PubMed |
description | Cancer immunotherapy has emerged as a novel and effective treatment strategy for several types of cancer. Immune checkpoint inhibitors (ICIs) have recently demonstrated impressive clinical benefit in some advanced cancers. Nonetheless, in the majority of patients, the successful use of ICIs is limited by a low response rate, high treatment cost, and treatment-related toxicity. Therefore, it is necessary to identify predictive and prognostic biomarkers to select the patients who are most likely to benefit from, and respond well to, these therapies. In this review, we summarize the evidence for candidate biomarkers of response to cancer immunotherapy. |
format | Online Article Text |
id | pubmed-6770350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67703502019-10-30 Novel Biomarkers for Personalized Cancer Immunotherapy Shindo, Yoshitaro Hazama, Shoichi Tsunedomi, Ryouichi Suzuki, Nobuaki Nagano, Hiroaki Cancers (Basel) Review Cancer immunotherapy has emerged as a novel and effective treatment strategy for several types of cancer. Immune checkpoint inhibitors (ICIs) have recently demonstrated impressive clinical benefit in some advanced cancers. Nonetheless, in the majority of patients, the successful use of ICIs is limited by a low response rate, high treatment cost, and treatment-related toxicity. Therefore, it is necessary to identify predictive and prognostic biomarkers to select the patients who are most likely to benefit from, and respond well to, these therapies. In this review, we summarize the evidence for candidate biomarkers of response to cancer immunotherapy. MDPI 2019-08-22 /pmc/articles/PMC6770350/ /pubmed/31443339 http://dx.doi.org/10.3390/cancers11091223 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Shindo, Yoshitaro Hazama, Shoichi Tsunedomi, Ryouichi Suzuki, Nobuaki Nagano, Hiroaki Novel Biomarkers for Personalized Cancer Immunotherapy |
title | Novel Biomarkers for Personalized Cancer Immunotherapy |
title_full | Novel Biomarkers for Personalized Cancer Immunotherapy |
title_fullStr | Novel Biomarkers for Personalized Cancer Immunotherapy |
title_full_unstemmed | Novel Biomarkers for Personalized Cancer Immunotherapy |
title_short | Novel Biomarkers for Personalized Cancer Immunotherapy |
title_sort | novel biomarkers for personalized cancer immunotherapy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6770350/ https://www.ncbi.nlm.nih.gov/pubmed/31443339 http://dx.doi.org/10.3390/cancers11091223 |
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