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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6406957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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