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Molecular imaging to support cancer immunotherapy
The advent of immune checkpoint inhibitors has reinvigorated the field of immuno-oncology. These monoclonal antibody-based therapies allow the immune system to recognize and eliminate malignant cells. This has resulted in improved survival of patients across several tumor types. However, not all pat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352987/ https://www.ncbi.nlm.nih.gov/pubmed/35922089 http://dx.doi.org/10.1136/jitc-2022-004949 |
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author | van de Donk, Pim P Oosting, Sjoukje F Knapen, Daan G van der Wekken, Anthonie J Brouwers, Adrienne H Lub-de Hooge, Marjolijn N de Groot, Derk-Jan A de Vries, Elisabeth GE |
author_facet | van de Donk, Pim P Oosting, Sjoukje F Knapen, Daan G van der Wekken, Anthonie J Brouwers, Adrienne H Lub-de Hooge, Marjolijn N de Groot, Derk-Jan A de Vries, Elisabeth GE |
author_sort | van de Donk, Pim P |
collection | PubMed |
description | The advent of immune checkpoint inhibitors has reinvigorated the field of immuno-oncology. These monoclonal antibody-based therapies allow the immune system to recognize and eliminate malignant cells. This has resulted in improved survival of patients across several tumor types. However, not all patients respond to immunotherapy therefore predictive biomarkers are important. There are only a few Food and Drug Administration-approved biomarkers to select patients for immunotherapy. These biomarkers do not consider the heterogeneity of tumor characteristics across lesions within a patient. New molecular imaging tracers allow for whole-body visualization with positron emission tomography (PET) of tumor and immune cell characteristics, and drug distribution, which might guide treatment decision making. Here, we summarize recent developments in molecular imaging of immune checkpoint molecules, such as PD-L1, PD-1, CTLA-4, and LAG-3. We discuss several molecular imaging approaches of immune cell subsets and briefly summarize the role of FDG-PET for evaluating cancer immunotherapy. The main focus is on developments in clinical molecular imaging studies, next to preclinical studies of interest given their potential translation to the clinic. |
format | Online Article Text |
id | pubmed-9352987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-93529872022-08-19 Molecular imaging to support cancer immunotherapy van de Donk, Pim P Oosting, Sjoukje F Knapen, Daan G van der Wekken, Anthonie J Brouwers, Adrienne H Lub-de Hooge, Marjolijn N de Groot, Derk-Jan A de Vries, Elisabeth GE J Immunother Cancer Review The advent of immune checkpoint inhibitors has reinvigorated the field of immuno-oncology. These monoclonal antibody-based therapies allow the immune system to recognize and eliminate malignant cells. This has resulted in improved survival of patients across several tumor types. However, not all patients respond to immunotherapy therefore predictive biomarkers are important. There are only a few Food and Drug Administration-approved biomarkers to select patients for immunotherapy. These biomarkers do not consider the heterogeneity of tumor characteristics across lesions within a patient. New molecular imaging tracers allow for whole-body visualization with positron emission tomography (PET) of tumor and immune cell characteristics, and drug distribution, which might guide treatment decision making. Here, we summarize recent developments in molecular imaging of immune checkpoint molecules, such as PD-L1, PD-1, CTLA-4, and LAG-3. We discuss several molecular imaging approaches of immune cell subsets and briefly summarize the role of FDG-PET for evaluating cancer immunotherapy. The main focus is on developments in clinical molecular imaging studies, next to preclinical studies of interest given their potential translation to the clinic. BMJ Publishing Group 2022-08-02 /pmc/articles/PMC9352987/ /pubmed/35922089 http://dx.doi.org/10.1136/jitc-2022-004949 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Review van de Donk, Pim P Oosting, Sjoukje F Knapen, Daan G van der Wekken, Anthonie J Brouwers, Adrienne H Lub-de Hooge, Marjolijn N de Groot, Derk-Jan A de Vries, Elisabeth GE Molecular imaging to support cancer immunotherapy |
title | Molecular imaging to support cancer immunotherapy |
title_full | Molecular imaging to support cancer immunotherapy |
title_fullStr | Molecular imaging to support cancer immunotherapy |
title_full_unstemmed | Molecular imaging to support cancer immunotherapy |
title_short | Molecular imaging to support cancer immunotherapy |
title_sort | molecular imaging to support cancer immunotherapy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352987/ https://www.ncbi.nlm.nih.gov/pubmed/35922089 http://dx.doi.org/10.1136/jitc-2022-004949 |
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