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The evolving landscape of predictive biomarkers in immuno‐oncology with a focus on spatial technologies

Immunotherapies have shown long‐lasting and unparalleled responses for cancer patients compared to conventional therapy. However, they seem to only be effective in a subset of patients. Therefore, it has become evident that a greater understanding of the tumor microenvironment (TME) is required to u...

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Autores principales: Sadeghi Rad, Habib, Bazaz, Sajad Razavi, Monkman, James, Ebrahimi Warkiani, Majid, Rezaei, Nima, O'Byrne, Ken, Kulasinghe, Arutha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680923/
https://www.ncbi.nlm.nih.gov/pubmed/33251010
http://dx.doi.org/10.1002/cti2.1215
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author Sadeghi Rad, Habib
Bazaz, Sajad Razavi
Monkman, James
Ebrahimi Warkiani, Majid
Rezaei, Nima
O'Byrne, Ken
Kulasinghe, Arutha
author_facet Sadeghi Rad, Habib
Bazaz, Sajad Razavi
Monkman, James
Ebrahimi Warkiani, Majid
Rezaei, Nima
O'Byrne, Ken
Kulasinghe, Arutha
author_sort Sadeghi Rad, Habib
collection PubMed
description Immunotherapies have shown long‐lasting and unparalleled responses for cancer patients compared to conventional therapy. However, they seem to only be effective in a subset of patients. Therefore, it has become evident that a greater understanding of the tumor microenvironment (TME) is required to understand the nuances which may be at play for a favorable outcome to therapy. The immune contexture of the TME is an important factor in dictating how well a tumor may respond to immune checkpoint inhibitors. While traditional immunohistochemistry techniques allow for the profiling of cells in the tumor, this is often lost when tumors are analysed using bulk tissue genomic approaches. Moreover, the actual cellular proportions, cellular heterogeneity and deeper spatial distribution are lacking in characterisation. Advances in tissue interrogation technologies have given rise to spatially resolved characterisation of the TME. This review aims to provide an overview of the current methodologies that are used to profile the TME, which may provide insights into the immunopathology associated with a favorable outcome to immunotherapy.
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spelling pubmed-76809232020-11-27 The evolving landscape of predictive biomarkers in immuno‐oncology with a focus on spatial technologies Sadeghi Rad, Habib Bazaz, Sajad Razavi Monkman, James Ebrahimi Warkiani, Majid Rezaei, Nima O'Byrne, Ken Kulasinghe, Arutha Clin Transl Immunology Reviews Immunotherapies have shown long‐lasting and unparalleled responses for cancer patients compared to conventional therapy. However, they seem to only be effective in a subset of patients. Therefore, it has become evident that a greater understanding of the tumor microenvironment (TME) is required to understand the nuances which may be at play for a favorable outcome to therapy. The immune contexture of the TME is an important factor in dictating how well a tumor may respond to immune checkpoint inhibitors. While traditional immunohistochemistry techniques allow for the profiling of cells in the tumor, this is often lost when tumors are analysed using bulk tissue genomic approaches. Moreover, the actual cellular proportions, cellular heterogeneity and deeper spatial distribution are lacking in characterisation. Advances in tissue interrogation technologies have given rise to spatially resolved characterisation of the TME. This review aims to provide an overview of the current methodologies that are used to profile the TME, which may provide insights into the immunopathology associated with a favorable outcome to immunotherapy. John Wiley and Sons Inc. 2020-11-22 /pmc/articles/PMC7680923/ /pubmed/33251010 http://dx.doi.org/10.1002/cti2.1215 Text en © 2020 The Authors. Clinical & Translational Immunology published by John Wiley & Sons Australia, Ltd on behalf of Australian and New Zealand Society for Immunology, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Reviews
Sadeghi Rad, Habib
Bazaz, Sajad Razavi
Monkman, James
Ebrahimi Warkiani, Majid
Rezaei, Nima
O'Byrne, Ken
Kulasinghe, Arutha
The evolving landscape of predictive biomarkers in immuno‐oncology with a focus on spatial technologies
title The evolving landscape of predictive biomarkers in immuno‐oncology with a focus on spatial technologies
title_full The evolving landscape of predictive biomarkers in immuno‐oncology with a focus on spatial technologies
title_fullStr The evolving landscape of predictive biomarkers in immuno‐oncology with a focus on spatial technologies
title_full_unstemmed The evolving landscape of predictive biomarkers in immuno‐oncology with a focus on spatial technologies
title_short The evolving landscape of predictive biomarkers in immuno‐oncology with a focus on spatial technologies
title_sort evolving landscape of predictive biomarkers in immuno‐oncology with a focus on spatial technologies
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680923/
https://www.ncbi.nlm.nih.gov/pubmed/33251010
http://dx.doi.org/10.1002/cti2.1215
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