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PD-L1 testing by immunohistochemistry in immuno-oncology

Immunotherapy, based on immune checkpoint inhibitors (ICIs) targeting the programmed cell death ligand 1 (PD-L1) and/or programmed death receptor 1 (PD-1), has substantially improved the outcomes of patients with various cancers. However, only ~30% of patients benefit from ICIs. Tumor PD-L1 expressi...

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Detalles Bibliográficos
Autores principales: Vranic, Semir, Gatalica, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901897/
https://www.ncbi.nlm.nih.gov/pubmed/35964287
http://dx.doi.org/10.17305/bjbms.2022.7953
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author Vranic, Semir
Gatalica, Zoran
author_facet Vranic, Semir
Gatalica, Zoran
author_sort Vranic, Semir
collection PubMed
description Immunotherapy, based on immune checkpoint inhibitors (ICIs) targeting the programmed cell death ligand 1 (PD-L1) and/or programmed death receptor 1 (PD-1), has substantially improved the outcomes of patients with various cancers. However, only ~30% of patients benefit from ICIs. Tumor PD-L1 expression, assessed by immunohistochemistry (IHC), is the most widely validated and used predictive biomarker to guide the selection of patients for ICIs. PD-L1 assessment may be challenging due to the necessity of different companion diagnostic assays for required specific ICIs and a relatively high level of inter-assay variability in terms of performance and cutoff levels. In this review, we discuss the role of PD-L1 IHC as a predictive test in immunotherapy (immuno-oncology), highlight the complexity of the PD-L1 testing landscape, discuss various preanalytical, analytical, and clinical issues that are associated with PD-L1 assays, and provide some insights into optimization of PD-L1 as a predictive biomarker in immuno-oncology.
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spelling pubmed-99018972023-02-07 PD-L1 testing by immunohistochemistry in immuno-oncology Vranic, Semir Gatalica, Zoran Biomol Biomed Review Immunotherapy, based on immune checkpoint inhibitors (ICIs) targeting the programmed cell death ligand 1 (PD-L1) and/or programmed death receptor 1 (PD-1), has substantially improved the outcomes of patients with various cancers. However, only ~30% of patients benefit from ICIs. Tumor PD-L1 expression, assessed by immunohistochemistry (IHC), is the most widely validated and used predictive biomarker to guide the selection of patients for ICIs. PD-L1 assessment may be challenging due to the necessity of different companion diagnostic assays for required specific ICIs and a relatively high level of inter-assay variability in terms of performance and cutoff levels. In this review, we discuss the role of PD-L1 IHC as a predictive test in immunotherapy (immuno-oncology), highlight the complexity of the PD-L1 testing landscape, discuss various preanalytical, analytical, and clinical issues that are associated with PD-L1 assays, and provide some insights into optimization of PD-L1 as a predictive biomarker in immuno-oncology. Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2023-02-01 2023-01-06 /pmc/articles/PMC9901897/ /pubmed/35964287 http://dx.doi.org/10.17305/bjbms.2022.7953 Text en © 2022 Vranic and Gatalica. https://creativecommons.org/licenses/by/4.0/This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Vranic, Semir
Gatalica, Zoran
PD-L1 testing by immunohistochemistry in immuno-oncology
title PD-L1 testing by immunohistochemistry in immuno-oncology
title_full PD-L1 testing by immunohistochemistry in immuno-oncology
title_fullStr PD-L1 testing by immunohistochemistry in immuno-oncology
title_full_unstemmed PD-L1 testing by immunohistochemistry in immuno-oncology
title_short PD-L1 testing by immunohistochemistry in immuno-oncology
title_sort pd-l1 testing by immunohistochemistry in immuno-oncology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901897/
https://www.ncbi.nlm.nih.gov/pubmed/35964287
http://dx.doi.org/10.17305/bjbms.2022.7953
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