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Serological assessment of collagen fragments and tumor fibrosis may guide immune checkpoint inhibitor therapy

Despite the overall clinical success of immune checkpoint inhibitors (ICIs) for treating patients with solid tumors, a large number of patients do not benefit from this approach. Consequently, there is a need for predictive biomarkers. The most prevalent biomarkers such as PD-L1 expression and tumor...

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Autores principales: Jensen, Christina, Nissen, Neel I., Von Arenstorff, Claus S., Karsdal, Morten A., Willumsen, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520279/
https://www.ncbi.nlm.nih.gov/pubmed/34656158
http://dx.doi.org/10.1186/s13046-021-02133-z
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author Jensen, Christina
Nissen, Neel I.
Von Arenstorff, Claus S.
Karsdal, Morten A.
Willumsen, Nicholas
author_facet Jensen, Christina
Nissen, Neel I.
Von Arenstorff, Claus S.
Karsdal, Morten A.
Willumsen, Nicholas
author_sort Jensen, Christina
collection PubMed
description Despite the overall clinical success of immune checkpoint inhibitors (ICIs) for treating patients with solid tumors, a large number of patients do not benefit from this approach. Consequently, there is a need for predictive biomarkers. The most prevalent biomarkers such as PD-L1 expression and tumor mutational burden (TMB) do not reliably predict response to ICIs across different solid tumor types suggesting that a broader view of regulating factors in the tumor microenvironment is needed. Emerging evidence indicates that one central common denominator of resistance to ICIs may be fibrotic activity characterized by extracellular matrix (ECM) and collagen production by cancer-associated fibroblasts (CAFs). A fibroblast-and collagen-rich stroma attenuates immunotherapy response by contributing to inhibition and exclusion of T cells. Here we review opportunities and limitations in the utilization of the most prevalent biomarkers for ICIs and elaborate on the unique opportunities with biomarkers originating from the activated fibroblasts producing an impermeable ECM. We propose that ECM and collagen biomarkers measured non-invasively may be a novel and practical approach to optimize treatment strategies and improve patient selection for ICI therapy.
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spelling pubmed-85202792021-10-20 Serological assessment of collagen fragments and tumor fibrosis may guide immune checkpoint inhibitor therapy Jensen, Christina Nissen, Neel I. Von Arenstorff, Claus S. Karsdal, Morten A. Willumsen, Nicholas J Exp Clin Cancer Res Review Despite the overall clinical success of immune checkpoint inhibitors (ICIs) for treating patients with solid tumors, a large number of patients do not benefit from this approach. Consequently, there is a need for predictive biomarkers. The most prevalent biomarkers such as PD-L1 expression and tumor mutational burden (TMB) do not reliably predict response to ICIs across different solid tumor types suggesting that a broader view of regulating factors in the tumor microenvironment is needed. Emerging evidence indicates that one central common denominator of resistance to ICIs may be fibrotic activity characterized by extracellular matrix (ECM) and collagen production by cancer-associated fibroblasts (CAFs). A fibroblast-and collagen-rich stroma attenuates immunotherapy response by contributing to inhibition and exclusion of T cells. Here we review opportunities and limitations in the utilization of the most prevalent biomarkers for ICIs and elaborate on the unique opportunities with biomarkers originating from the activated fibroblasts producing an impermeable ECM. We propose that ECM and collagen biomarkers measured non-invasively may be a novel and practical approach to optimize treatment strategies and improve patient selection for ICI therapy. BioMed Central 2021-10-16 /pmc/articles/PMC8520279/ /pubmed/34656158 http://dx.doi.org/10.1186/s13046-021-02133-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Jensen, Christina
Nissen, Neel I.
Von Arenstorff, Claus S.
Karsdal, Morten A.
Willumsen, Nicholas
Serological assessment of collagen fragments and tumor fibrosis may guide immune checkpoint inhibitor therapy
title Serological assessment of collagen fragments and tumor fibrosis may guide immune checkpoint inhibitor therapy
title_full Serological assessment of collagen fragments and tumor fibrosis may guide immune checkpoint inhibitor therapy
title_fullStr Serological assessment of collagen fragments and tumor fibrosis may guide immune checkpoint inhibitor therapy
title_full_unstemmed Serological assessment of collagen fragments and tumor fibrosis may guide immune checkpoint inhibitor therapy
title_short Serological assessment of collagen fragments and tumor fibrosis may guide immune checkpoint inhibitor therapy
title_sort serological assessment of collagen fragments and tumor fibrosis may guide immune checkpoint inhibitor therapy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8520279/
https://www.ncbi.nlm.nih.gov/pubmed/34656158
http://dx.doi.org/10.1186/s13046-021-02133-z
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