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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...

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Detalles Bibliográficos
Autores principales: Shindo, Yoshitaro, Hazama, Shoichi, Tsunedomi, Ryouichi, Suzuki, Nobuaki, Nagano, Hiroaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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