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The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies

Tumor cells constantly interact with their microenvironment, which comprises a variety of immune cells together with endothelial cells and fibroblasts. The composition of the tumor microenvironment (TME) has been shown to influence response to immune checkpoint blockade (ICB). ICB takes advantage of...

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Autores principales: Petitprez, Florent, Meylan, Maxime, de Reyniès, Aurélien, Sautès-Fridman, Catherine, Fridman, Wolf H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221158/
https://www.ncbi.nlm.nih.gov/pubmed/32457745
http://dx.doi.org/10.3389/fimmu.2020.00784
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author Petitprez, Florent
Meylan, Maxime
de Reyniès, Aurélien
Sautès-Fridman, Catherine
Fridman, Wolf H.
author_facet Petitprez, Florent
Meylan, Maxime
de Reyniès, Aurélien
Sautès-Fridman, Catherine
Fridman, Wolf H.
author_sort Petitprez, Florent
collection PubMed
description Tumor cells constantly interact with their microenvironment, which comprises a variety of immune cells together with endothelial cells and fibroblasts. The composition of the tumor microenvironment (TME) has been shown to influence response to immune checkpoint blockade (ICB). ICB takes advantage of immune cell infiltration in the tumor to reinvigorate an efficacious antitumoral immune response. In addition to tumor cell intrinsic biomarkers, increasing data pinpoint the importance of the TME in guiding patient selection and combination therapies. Here, we review recent efforts in determining how various components of the TME can influence response and resistance to ICB. Although a large body of evidence points to the extent and functional orientation of the T cell infiltrate as important in therapy response, recent studies also confirm a role for other components of the TME, such as B cells, myeloid lineage cells, cancer-associated fibroblasts, and vasculature. If the ultimate goal of curative cancer therapies is to induce a long-term memory T cell response, the other components of the TME may positively or negatively modulate the induction of efficient antitumor immunity. The emergence of novel high-throughput methods for analyzing the TME, including transcriptomics, has allowed tremendous developments in the field, with the expansion of patient cohorts, and the identification of TME-based markers of therapy response. Together, these studies open the possibility of including TME-based markers for selecting patients that are likely to respond to specific therapies, and pave the way to personalized medicine in oncology.
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spelling pubmed-72211582020-05-25 The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies Petitprez, Florent Meylan, Maxime de Reyniès, Aurélien Sautès-Fridman, Catherine Fridman, Wolf H. Front Immunol Immunology Tumor cells constantly interact with their microenvironment, which comprises a variety of immune cells together with endothelial cells and fibroblasts. The composition of the tumor microenvironment (TME) has been shown to influence response to immune checkpoint blockade (ICB). ICB takes advantage of immune cell infiltration in the tumor to reinvigorate an efficacious antitumoral immune response. In addition to tumor cell intrinsic biomarkers, increasing data pinpoint the importance of the TME in guiding patient selection and combination therapies. Here, we review recent efforts in determining how various components of the TME can influence response and resistance to ICB. Although a large body of evidence points to the extent and functional orientation of the T cell infiltrate as important in therapy response, recent studies also confirm a role for other components of the TME, such as B cells, myeloid lineage cells, cancer-associated fibroblasts, and vasculature. If the ultimate goal of curative cancer therapies is to induce a long-term memory T cell response, the other components of the TME may positively or negatively modulate the induction of efficient antitumor immunity. The emergence of novel high-throughput methods for analyzing the TME, including transcriptomics, has allowed tremendous developments in the field, with the expansion of patient cohorts, and the identification of TME-based markers of therapy response. Together, these studies open the possibility of including TME-based markers for selecting patients that are likely to respond to specific therapies, and pave the way to personalized medicine in oncology. Frontiers Media S.A. 2020-05-07 /pmc/articles/PMC7221158/ /pubmed/32457745 http://dx.doi.org/10.3389/fimmu.2020.00784 Text en Copyright © 2020 Petitprez, Meylan, de Reyniès, Sautès-Fridman and Fridman. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Petitprez, Florent
Meylan, Maxime
de Reyniès, Aurélien
Sautès-Fridman, Catherine
Fridman, Wolf H.
The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies
title The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies
title_full The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies
title_fullStr The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies
title_full_unstemmed The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies
title_short The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies
title_sort tumor microenvironment in the response to immune checkpoint blockade therapies
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7221158/
https://www.ncbi.nlm.nih.gov/pubmed/32457745
http://dx.doi.org/10.3389/fimmu.2020.00784
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