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RAD51B(me) Levels as a Potential Predictive Biomarker for PD-1 Blockade Response in Non-Small Cell Lung Cancer

Lung cancer (LC) cells frequently express high levels of programmed death-ligand 1 (PD-L1). Although these levels grossly correlate with the likelihood of response to specific checkpoint inhibitors, the response prediction is rather imperfect, and more accurate predictive biomarkers are mandatory. W...

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Autores principales: Guerreiro, Inês Maria, Barros-Silva, Daniela, Lopes, Paula, Cantante, Mariana, Cunha, Ana Luísa, Lobo, João, Antunes, Luís, Rodrigues, Ana, Soares, Marta, Henrique, Rui, Jerónimo, Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230458/
https://www.ncbi.nlm.nih.gov/pubmed/32252414
http://dx.doi.org/10.3390/jcm9041000
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author Guerreiro, Inês Maria
Barros-Silva, Daniela
Lopes, Paula
Cantante, Mariana
Cunha, Ana Luísa
Lobo, João
Antunes, Luís
Rodrigues, Ana
Soares, Marta
Henrique, Rui
Jerónimo, Carmen
author_facet Guerreiro, Inês Maria
Barros-Silva, Daniela
Lopes, Paula
Cantante, Mariana
Cunha, Ana Luísa
Lobo, João
Antunes, Luís
Rodrigues, Ana
Soares, Marta
Henrique, Rui
Jerónimo, Carmen
author_sort Guerreiro, Inês Maria
collection PubMed
description Lung cancer (LC) cells frequently express high levels of programmed death-ligand 1 (PD-L1). Although these levels grossly correlate with the likelihood of response to specific checkpoint inhibitors, the response prediction is rather imperfect, and more accurate predictive biomarkers are mandatory. We examined the methylation profile of RAD51B (RAD51B(me)) as a candidate predictive biomarker for anti-PD-1 therapy efficacy in non-small cell lung cancer (NSCLC), correlating with patients’ outcome. PD-L1 immunoexpression and RAD51B(me) levels were analysed in NSCLC samples obtained from patients not treated with anti-PD-1 (Untreated Cohort (#1)) and patients treated with PD-1 blockade (Treated Cohort (#2)). Of a total of 127 patients assessed, 58.3% depicted PD-L1 positivity (PD-L1(+)). RAD51B(me) levels were significantly associated with PD-L1 immunoexpression. Patients with PD-1 blockade clinical benefit disclosed higher RAD51B(me) levels (p = 0.0390) and significantly lower risk of disease progression (HR 0.37; 95% CI: 0.15–0.88; p = 0.025). Combining RAD51B(me+) with PD-L1(+) improved the sensitivity of the test to predict immunotherapy response. PD-L1(+) was also associated with lower risk of death (HR 0.35; 95% CI: 0.15–0.81; p = 0.014). Thus, RAD51B(me) levels might be combined with validated predictive biomarker PD-L1 immunostaining to select patients who will most likely experience clinical benefit from PD-1 blockade. The predictive value of RAD51B(me) should be confirmed in prospective studies.
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spelling pubmed-72304582020-05-22 RAD51B(me) Levels as a Potential Predictive Biomarker for PD-1 Blockade Response in Non-Small Cell Lung Cancer Guerreiro, Inês Maria Barros-Silva, Daniela Lopes, Paula Cantante, Mariana Cunha, Ana Luísa Lobo, João Antunes, Luís Rodrigues, Ana Soares, Marta Henrique, Rui Jerónimo, Carmen J Clin Med Article Lung cancer (LC) cells frequently express high levels of programmed death-ligand 1 (PD-L1). Although these levels grossly correlate with the likelihood of response to specific checkpoint inhibitors, the response prediction is rather imperfect, and more accurate predictive biomarkers are mandatory. We examined the methylation profile of RAD51B (RAD51B(me)) as a candidate predictive biomarker for anti-PD-1 therapy efficacy in non-small cell lung cancer (NSCLC), correlating with patients’ outcome. PD-L1 immunoexpression and RAD51B(me) levels were analysed in NSCLC samples obtained from patients not treated with anti-PD-1 (Untreated Cohort (#1)) and patients treated with PD-1 blockade (Treated Cohort (#2)). Of a total of 127 patients assessed, 58.3% depicted PD-L1 positivity (PD-L1(+)). RAD51B(me) levels were significantly associated with PD-L1 immunoexpression. Patients with PD-1 blockade clinical benefit disclosed higher RAD51B(me) levels (p = 0.0390) and significantly lower risk of disease progression (HR 0.37; 95% CI: 0.15–0.88; p = 0.025). Combining RAD51B(me+) with PD-L1(+) improved the sensitivity of the test to predict immunotherapy response. PD-L1(+) was also associated with lower risk of death (HR 0.35; 95% CI: 0.15–0.81; p = 0.014). Thus, RAD51B(me) levels might be combined with validated predictive biomarker PD-L1 immunostaining to select patients who will most likely experience clinical benefit from PD-1 blockade. The predictive value of RAD51B(me) should be confirmed in prospective studies. MDPI 2020-04-02 /pmc/articles/PMC7230458/ /pubmed/32252414 http://dx.doi.org/10.3390/jcm9041000 Text en © 2020 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 Article
Guerreiro, Inês Maria
Barros-Silva, Daniela
Lopes, Paula
Cantante, Mariana
Cunha, Ana Luísa
Lobo, João
Antunes, Luís
Rodrigues, Ana
Soares, Marta
Henrique, Rui
Jerónimo, Carmen
RAD51B(me) Levels as a Potential Predictive Biomarker for PD-1 Blockade Response in Non-Small Cell Lung Cancer
title RAD51B(me) Levels as a Potential Predictive Biomarker for PD-1 Blockade Response in Non-Small Cell Lung Cancer
title_full RAD51B(me) Levels as a Potential Predictive Biomarker for PD-1 Blockade Response in Non-Small Cell Lung Cancer
title_fullStr RAD51B(me) Levels as a Potential Predictive Biomarker for PD-1 Blockade Response in Non-Small Cell Lung Cancer
title_full_unstemmed RAD51B(me) Levels as a Potential Predictive Biomarker for PD-1 Blockade Response in Non-Small Cell Lung Cancer
title_short RAD51B(me) Levels as a Potential Predictive Biomarker for PD-1 Blockade Response in Non-Small Cell Lung Cancer
title_sort rad51b(me) levels as a potential predictive biomarker for pd-1 blockade response in non-small cell lung cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230458/
https://www.ncbi.nlm.nih.gov/pubmed/32252414
http://dx.doi.org/10.3390/jcm9041000
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