Immunological-based approaches for cancer therapy
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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. |
id |
USP-19_9d4d4705494d25bd8a21992697242b89 |
---|---|
oai_identifier_str |
oai:revistas.usp.br:article/154748 |
network_acronym_str |
USP-19 |
network_name_str |
Clinics |
repository_id_str |
|
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 |
_version_ |
1800222763748687872 |