Immunological-based approaches for cancer therapy

Detalhes bibliográficos
Autor(a) principal: Barros, Luciana
Data de Publicação: 2019
Outros Autores: Pretti, Marco Antonio, Chicaybam, Leonardo, Abdo, Luiza, Boroni, Mariana, Bonamino, Martin Hernán
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Clinics
Texto Completo: https://www.revistas.usp.br/clinics/article/view/154748
Resumo: The immunologic landscape of tumors has been continuously unveiled, providing a new look at the interactions between cancer cells and the immune system. Emerging tumor cells are constantly eliminated by the immune system, but some cells establish a long-term equilibrium phase leading to tumor immunoediting and, eventually, evasion. During this process, tumor cells tend to acquire more mutations. Bearing a high mutation burden leads to a greater number of neoantigens with the potential to initiate an immune response. Although many tumors evoke an immune response, tumor clearance by the immune system does not occur due to a suppressive tumor microenvironment. The mechanisms by which tumors achieve the ability to evade immunologic control vary. Understanding these differences is crucial for the improvement and application of new immune-based therapies. Much effort has been placed in developing in silico algorithms to predict tumor immunogenicity and to characterize the microenvironment via high-throughput sequencing and gene expression techniques. Each sequencing source, transcriptomics, and genomics yields a distinct level of data, helping to elucidate the tumor-based immune responses and guiding the fine-tuning of current and upcoming immune-based therapies. In this review, we explore some of the immunological concepts behind the new immunotherapies and the bioinformatic tools to study the immunological aspects of tumors, focusing on neoantigen determination and microenvironment deconvolution. We further discuss the immune-based therapies already in clinical use, those underway for future clinical application, the next steps in immunotherapy, and how the characterization of the tumor immune contexture can impact therapies aiming to promote or unleash immune-based tumor elimination.
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spelling Immunological-based approaches for cancer therapyCancer ImmunologyImmunotherapyGene TherapyThe immunologic landscape of tumors has been continuously unveiled, providing a new look at the interactions between cancer cells and the immune system. Emerging tumor cells are constantly eliminated by the immune system, but some cells establish a long-term equilibrium phase leading to tumor immunoediting and, eventually, evasion. During this process, tumor cells tend to acquire more mutations. Bearing a high mutation burden leads to a greater number of neoantigens with the potential to initiate an immune response. Although many tumors evoke an immune response, tumor clearance by the immune system does not occur due to a suppressive tumor microenvironment. The mechanisms by which tumors achieve the ability to evade immunologic control vary. Understanding these differences is crucial for the improvement and application of new immune-based therapies. Much effort has been placed in developing in silico algorithms to predict tumor immunogenicity and to characterize the microenvironment via high-throughput sequencing and gene expression techniques. Each sequencing source, transcriptomics, and genomics yields a distinct level of data, helping to elucidate the tumor-based immune responses and guiding the fine-tuning of current and upcoming immune-based therapies. In this review, we explore some of the immunological concepts behind the new immunotherapies and the bioinformatic tools to study the immunological aspects of tumors, focusing on neoantigen determination and microenvironment deconvolution. We further discuss the immune-based therapies already in clinical use, those underway for future clinical application, the next steps in immunotherapy, and how the characterization of the tumor immune contexture can impact therapies aiming to promote or unleash immune-based tumor elimination.Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo2019-02-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/clinics/article/view/15474810.6061/clinics/2018/e429sClinics; Vol. 73 No. Suppl. 1 (2018); e429sClinics; v. 73 n. Suppl. 1 (2018); e429sClinics; Vol. 73 Núm. Suppl. 1 (2018); e429s1980-53221807-5932reponame:Clinicsinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/clinics/article/view/154748/150778Copyright (c) 2019 Clinicsinfo:eu-repo/semantics/openAccessBarros, LucianaPretti, Marco AntonioChicaybam, LeonardoAbdo, LuizaBoroni, MarianaBonamino, Martin Hernán2019-05-14T11:48:25Zoai:revistas.usp.br:article/154748Revistahttps://www.revistas.usp.br/clinicsPUBhttps://www.revistas.usp.br/clinics/oai||clinics@hc.fm.usp.br1980-53221807-5932opendoar:2019-05-14T11:48:25Clinics - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Immunological-based approaches for cancer therapy
title Immunological-based approaches for cancer therapy
spellingShingle Immunological-based approaches for cancer therapy
Barros, Luciana
Cancer Immunology
Immunotherapy
Gene Therapy
title_short Immunological-based approaches for cancer therapy
title_full Immunological-based approaches for cancer therapy
title_fullStr Immunological-based approaches for cancer therapy
title_full_unstemmed Immunological-based approaches for cancer therapy
title_sort Immunological-based approaches for cancer therapy
author Barros, Luciana
author_facet Barros, Luciana
Pretti, Marco Antonio
Chicaybam, Leonardo
Abdo, Luiza
Boroni, Mariana
Bonamino, Martin Hernán
author_role author
author2 Pretti, Marco Antonio
Chicaybam, Leonardo
Abdo, Luiza
Boroni, Mariana
Bonamino, Martin Hernán
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Barros, Luciana
Pretti, Marco Antonio
Chicaybam, Leonardo
Abdo, Luiza
Boroni, Mariana
Bonamino, Martin Hernán
dc.subject.por.fl_str_mv Cancer Immunology
Immunotherapy
Gene Therapy
topic Cancer Immunology
Immunotherapy
Gene Therapy
description The immunologic landscape of tumors has been continuously unveiled, providing a new look at the interactions between cancer cells and the immune system. Emerging tumor cells are constantly eliminated by the immune system, but some cells establish a long-term equilibrium phase leading to tumor immunoediting and, eventually, evasion. During this process, tumor cells tend to acquire more mutations. Bearing a high mutation burden leads to a greater number of neoantigens with the potential to initiate an immune response. Although many tumors evoke an immune response, tumor clearance by the immune system does not occur due to a suppressive tumor microenvironment. The mechanisms by which tumors achieve the ability to evade immunologic control vary. Understanding these differences is crucial for the improvement and application of new immune-based therapies. Much effort has been placed in developing in silico algorithms to predict tumor immunogenicity and to characterize the microenvironment via high-throughput sequencing and gene expression techniques. Each sequencing source, transcriptomics, and genomics yields a distinct level of data, helping to elucidate the tumor-based immune responses and guiding the fine-tuning of current and upcoming immune-based therapies. In this review, we explore some of the immunological concepts behind the new immunotherapies and the bioinformatic tools to study the immunological aspects of tumors, focusing on neoantigen determination and microenvironment deconvolution. We further discuss the immune-based therapies already in clinical use, those underway for future clinical application, the next steps in immunotherapy, and how the characterization of the tumor immune contexture can impact therapies aiming to promote or unleash immune-based tumor elimination.
publishDate 2019
dc.date.none.fl_str_mv 2019-02-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/clinics/article/view/154748
10.6061/clinics/2018/e429s
url https://www.revistas.usp.br/clinics/article/view/154748
identifier_str_mv 10.6061/clinics/2018/e429s
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/clinics/article/view/154748/150778
dc.rights.driver.fl_str_mv Copyright (c) 2019 Clinics
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Clinics
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
publisher.none.fl_str_mv Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo
dc.source.none.fl_str_mv Clinics; Vol. 73 No. Suppl. 1 (2018); e429s
Clinics; v. 73 n. Suppl. 1 (2018); e429s
Clinics; Vol. 73 Núm. Suppl. 1 (2018); e429s
1980-5322
1807-5932
reponame:Clinics
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Clinics
collection Clinics
repository.name.fl_str_mv Clinics - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||clinics@hc.fm.usp.br
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