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PD-L1 diagnostic tests: a systematic literature review of scoring algorithms and test-validation metrics

BACKGROUND: The programmed death receptor 1 (PD-1) protein is a cell-surface receptor on certain lymphocytes that, with its ligand programmed death ligand 1 (PD-L1), helps to down-regulate immune responses. Many cancer types express PD-L1 and evade immune recognition via the PD-1/PD-L1 interaction....

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Autores principales: Udall, Margarita, Rizzo, Maria, Kenny, Juliet, Doherty, Jim, Dahm, SueAnn, Robbins, Paul, Faulkner, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807740/
https://www.ncbi.nlm.nih.gov/pubmed/29426340
http://dx.doi.org/10.1186/s13000-018-0689-9
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author Udall, Margarita
Rizzo, Maria
Kenny, Juliet
Doherty, Jim
Dahm, SueAnn
Robbins, Paul
Faulkner, Eric
author_facet Udall, Margarita
Rizzo, Maria
Kenny, Juliet
Doherty, Jim
Dahm, SueAnn
Robbins, Paul
Faulkner, Eric
author_sort Udall, Margarita
collection PubMed
description BACKGROUND: The programmed death receptor 1 (PD-1) protein is a cell-surface receptor on certain lymphocytes that, with its ligand programmed death ligand 1 (PD-L1), helps to down-regulate immune responses. Many cancer types express PD-L1 and evade immune recognition via the PD-1/PD-L1 interaction. Precision therapies targeting the PD-1/PD-L1 pathway have the potential to improve response and thereby offer a novel treatment avenue to some patients with cancer. However, this new therapeutic approach requires reliable methods for identifying patients whose cancers are particularly likely to respond. Therefore, we conducted a systematic literature review assessing evidence on test validation and scoring algorithms for PD-L1 immunohistochemistry (IHC) tests that might be used to select potentially responsive patients with bladder/urothelial cell, lung, gastric, or ovarian cancers for immunotherapy treatment. METHODS AND RESULTS: To identify evidence on commercially available PD-L1 IHC assays, we systematically searched MEDLINE and Embase for relevant studies published between January 2010 and September 2016 and appraised abstracts from recent oncology conferences (January 2013 to November 2016). Publications that met the predefined inclusion criteria were extracted and key trends summarized. In total, 26 eligible primary studies were identified, all of which reported on the test validation metrics associated with PD-L1 IHC tests in lung cancer, most using immunohistochemistry testing. There was significant heterogeneity among the available tests for PD-L1. Specifically, no definitive cutoff for PD-L1 positivity was identifiable, with more than one threshold being reported for most antibodies. Studies also differed as to whether they evaluated tumor cells only or tumor cells and tumor-infiltrating immune cells. However, all of the tests developed and validated to support a therapeutic drug in the context of phase 2–3 clinical trials reported more than 90% inter-reader concordance. In contrast, other PD-L1 antibodies identified in the literature reported poorer concordance. CONCLUSIONS: Published validation metric data for PD-L1 tests are mainly focused on immunohistochemistry tests from studies in lung cancer. The variability in test cutoffs and standards for PD-L1 testing suggests that there is presently no standardized approach. This current variability may have implications for the uptake of precision treatments.
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spelling pubmed-58077402018-02-15 PD-L1 diagnostic tests: a systematic literature review of scoring algorithms and test-validation metrics Udall, Margarita Rizzo, Maria Kenny, Juliet Doherty, Jim Dahm, SueAnn Robbins, Paul Faulkner, Eric Diagn Pathol Review BACKGROUND: The programmed death receptor 1 (PD-1) protein is a cell-surface receptor on certain lymphocytes that, with its ligand programmed death ligand 1 (PD-L1), helps to down-regulate immune responses. Many cancer types express PD-L1 and evade immune recognition via the PD-1/PD-L1 interaction. Precision therapies targeting the PD-1/PD-L1 pathway have the potential to improve response and thereby offer a novel treatment avenue to some patients with cancer. However, this new therapeutic approach requires reliable methods for identifying patients whose cancers are particularly likely to respond. Therefore, we conducted a systematic literature review assessing evidence on test validation and scoring algorithms for PD-L1 immunohistochemistry (IHC) tests that might be used to select potentially responsive patients with bladder/urothelial cell, lung, gastric, or ovarian cancers for immunotherapy treatment. METHODS AND RESULTS: To identify evidence on commercially available PD-L1 IHC assays, we systematically searched MEDLINE and Embase for relevant studies published between January 2010 and September 2016 and appraised abstracts from recent oncology conferences (January 2013 to November 2016). Publications that met the predefined inclusion criteria were extracted and key trends summarized. In total, 26 eligible primary studies were identified, all of which reported on the test validation metrics associated with PD-L1 IHC tests in lung cancer, most using immunohistochemistry testing. There was significant heterogeneity among the available tests for PD-L1. Specifically, no definitive cutoff for PD-L1 positivity was identifiable, with more than one threshold being reported for most antibodies. Studies also differed as to whether they evaluated tumor cells only or tumor cells and tumor-infiltrating immune cells. However, all of the tests developed and validated to support a therapeutic drug in the context of phase 2–3 clinical trials reported more than 90% inter-reader concordance. In contrast, other PD-L1 antibodies identified in the literature reported poorer concordance. CONCLUSIONS: Published validation metric data for PD-L1 tests are mainly focused on immunohistochemistry tests from studies in lung cancer. The variability in test cutoffs and standards for PD-L1 testing suggests that there is presently no standardized approach. This current variability may have implications for the uptake of precision treatments. BioMed Central 2018-02-09 /pmc/articles/PMC5807740/ /pubmed/29426340 http://dx.doi.org/10.1186/s13000-018-0689-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Udall, Margarita
Rizzo, Maria
Kenny, Juliet
Doherty, Jim
Dahm, SueAnn
Robbins, Paul
Faulkner, Eric
PD-L1 diagnostic tests: a systematic literature review of scoring algorithms and test-validation metrics
title PD-L1 diagnostic tests: a systematic literature review of scoring algorithms and test-validation metrics
title_full PD-L1 diagnostic tests: a systematic literature review of scoring algorithms and test-validation metrics
title_fullStr PD-L1 diagnostic tests: a systematic literature review of scoring algorithms and test-validation metrics
title_full_unstemmed PD-L1 diagnostic tests: a systematic literature review of scoring algorithms and test-validation metrics
title_short PD-L1 diagnostic tests: a systematic literature review of scoring algorithms and test-validation metrics
title_sort pd-l1 diagnostic tests: a systematic literature review of scoring algorithms and test-validation metrics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807740/
https://www.ncbi.nlm.nih.gov/pubmed/29426340
http://dx.doi.org/10.1186/s13000-018-0689-9
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