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The Role of Molecular Profiling to Predict the Response to Immune Checkpoint Inhibitors in Lung Cancer

Immune checkpoint inhibitors radically changed the treatment of patients with non-small cell lung cancer (NSCLC). However, only one-quarter of patients benefit from these new therapies when used as monotherapy. The assessment of Program Death Ligand-1 (PD-L1) tumor expression by immunohistochemistry...

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Autores principales: Kaderbhaï, Courèche, Tharin, Zoé, Ghiringhelli, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406957/
https://www.ncbi.nlm.nih.gov/pubmed/30744168
http://dx.doi.org/10.3390/cancers11020201
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author Kaderbhaï, Courèche
Tharin, Zoé
Ghiringhelli, François
author_facet Kaderbhaï, Courèche
Tharin, Zoé
Ghiringhelli, François
author_sort Kaderbhaï, Courèche
collection PubMed
description Immune checkpoint inhibitors radically changed the treatment of patients with non-small cell lung cancer (NSCLC). However, only one-quarter of patients benefit from these new therapies when used as monotherapy. The assessment of Program Death Ligand-1 (PD-L1) tumor expression by immunohistochemistry is used to select potential responder patients, but this not an optimal marker since it does not predict the absence of anti PD-1 efficacy. Despite this shortcoming, PD-L1 remains the gold standard biomarker in many studies and the only biomarker available for clinicians. In addition to histological markers, transcriptomic and exome analyses have revealed potential biomarkers requiring further confirmation. Recently, tumor mutational burden has emerged as a good surrogate marker of outcome. In this review we will detail current knowledge on DNA and RNA related biomarkers.
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spelling pubmed-64069572019-03-21 The Role of Molecular Profiling to Predict the Response to Immune Checkpoint Inhibitors in Lung Cancer Kaderbhaï, Courèche Tharin, Zoé Ghiringhelli, François Cancers (Basel) Review Immune checkpoint inhibitors radically changed the treatment of patients with non-small cell lung cancer (NSCLC). However, only one-quarter of patients benefit from these new therapies when used as monotherapy. The assessment of Program Death Ligand-1 (PD-L1) tumor expression by immunohistochemistry is used to select potential responder patients, but this not an optimal marker since it does not predict the absence of anti PD-1 efficacy. Despite this shortcoming, PD-L1 remains the gold standard biomarker in many studies and the only biomarker available for clinicians. In addition to histological markers, transcriptomic and exome analyses have revealed potential biomarkers requiring further confirmation. Recently, tumor mutational burden has emerged as a good surrogate marker of outcome. In this review we will detail current knowledge on DNA and RNA related biomarkers. MDPI 2019-02-10 /pmc/articles/PMC6406957/ /pubmed/30744168 http://dx.doi.org/10.3390/cancers11020201 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Kaderbhaï, Courèche
Tharin, Zoé
Ghiringhelli, François
The Role of Molecular Profiling to Predict the Response to Immune Checkpoint Inhibitors in Lung Cancer
title The Role of Molecular Profiling to Predict the Response to Immune Checkpoint Inhibitors in Lung Cancer
title_full The Role of Molecular Profiling to Predict the Response to Immune Checkpoint Inhibitors in Lung Cancer
title_fullStr The Role of Molecular Profiling to Predict the Response to Immune Checkpoint Inhibitors in Lung Cancer
title_full_unstemmed The Role of Molecular Profiling to Predict the Response to Immune Checkpoint Inhibitors in Lung Cancer
title_short The Role of Molecular Profiling to Predict the Response to Immune Checkpoint Inhibitors in Lung Cancer
title_sort role of molecular profiling to predict the response to immune checkpoint inhibitors in lung cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406957/
https://www.ncbi.nlm.nih.gov/pubmed/30744168
http://dx.doi.org/10.3390/cancers11020201
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