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Fluorometric Quantification of Total Cell-Free DNA as a Prognostic Biomarker in Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Blockade

SIMPLE SUMMARY: The current study investigated the potential use of fluorometric cfDNA quantification as a prognostic biomarker in advanced non-small cell lung cancer (NSCLC) patients treated with an Immune Checkpoint Blockade (ICB). Results showed that a cfDNA cut-off of 0.55 ng/µL before the ICB d...

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Autores principales: Oliver, Javier, Onieva, Juan Luis, Garrido-Barros, María, Cobo-Dols, Manuel, Martínez-Gálvez, Beatriz, García-Pelícano, Ana Isabel, Dubbelman, Jaime, Benítez, José Carlos, Martín, Juan Zafra, Cantero, Alejandra, Pérez-Ruiz, Elisabeth, Rueda-Domínguez, Antonio, Barragán, Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341133/
https://www.ncbi.nlm.nih.gov/pubmed/37444467
http://dx.doi.org/10.3390/cancers15133357
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author Oliver, Javier
Onieva, Juan Luis
Garrido-Barros, María
Cobo-Dols, Manuel
Martínez-Gálvez, Beatriz
García-Pelícano, Ana Isabel
Dubbelman, Jaime
Benítez, José Carlos
Martín, Juan Zafra
Cantero, Alejandra
Pérez-Ruiz, Elisabeth
Rueda-Domínguez, Antonio
Barragán, Isabel
author_facet Oliver, Javier
Onieva, Juan Luis
Garrido-Barros, María
Cobo-Dols, Manuel
Martínez-Gálvez, Beatriz
García-Pelícano, Ana Isabel
Dubbelman, Jaime
Benítez, José Carlos
Martín, Juan Zafra
Cantero, Alejandra
Pérez-Ruiz, Elisabeth
Rueda-Domínguez, Antonio
Barragán, Isabel
author_sort Oliver, Javier
collection PubMed
description SIMPLE SUMMARY: The current study investigated the potential use of fluorometric cfDNA quantification as a prognostic biomarker in advanced non-small cell lung cancer (NSCLC) patients treated with an Immune Checkpoint Blockade (ICB). Results showed that a cfDNA cut-off of 0.55 ng/µL before the ICB determines the overall survival of patients with a log rank p-value of 3.3 × 10(−4). High cfDNA concentrations identify patients with advanced NSCLC who do not benefit from ICB. The determination of cfDNA is a simple test that could select a group of patients in whom new therapeutic strategies are needed. ABSTRACT: The present study aimed to investigate the potential of basal cell-free fluorometric DNA (cfDNA) quantification as a prognostic biomarker in advanced non-small cell lung cancer (NSCLC) patients treated with an Immune Checkpoint Blockade (ICB). A discovery and validation cohort of 61 and 31 advanced lung cancer patients treated with ICB were included in this study. Quantification of cfDNA concentration was performed before the start of the treatment and patients were followed up for a median of 34 (30–40) months. The prognostic predicted value of cfDNA was evaluated based on ROC, and Cox regression was conducted via univariate and multivariate analyses to estimate the hazard ratio. We observed that a cfDNA cut-off of 0.55 ng/µL before the ICB determines the overall survival of patients with a log rank p-value of 3.3 × 10(−4). That represents median survivals of 3.8 vs. 17.5 months. Similar results were obtained in the validation cohort being the log rank p-value 3.8 × 10(−2) with median survivals of 5.9 vs. 24.3. The univariate and multivariate analysis revealed that the cut-off of 0.55 ng/µL before ICB treatment was an independent predictive factor and was significantly associated with a better survival outcome. High cfDNA concentrations identify patients with advanced NSCLC who do not benefit from the ICB. The determination of cfDNA is a simple test that could select a group of patients in whom new therapeutic strategies are needed.
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spelling pubmed-103411332023-07-14 Fluorometric Quantification of Total Cell-Free DNA as a Prognostic Biomarker in Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Blockade Oliver, Javier Onieva, Juan Luis Garrido-Barros, María Cobo-Dols, Manuel Martínez-Gálvez, Beatriz García-Pelícano, Ana Isabel Dubbelman, Jaime Benítez, José Carlos Martín, Juan Zafra Cantero, Alejandra Pérez-Ruiz, Elisabeth Rueda-Domínguez, Antonio Barragán, Isabel Cancers (Basel) Article SIMPLE SUMMARY: The current study investigated the potential use of fluorometric cfDNA quantification as a prognostic biomarker in advanced non-small cell lung cancer (NSCLC) patients treated with an Immune Checkpoint Blockade (ICB). Results showed that a cfDNA cut-off of 0.55 ng/µL before the ICB determines the overall survival of patients with a log rank p-value of 3.3 × 10(−4). High cfDNA concentrations identify patients with advanced NSCLC who do not benefit from ICB. The determination of cfDNA is a simple test that could select a group of patients in whom new therapeutic strategies are needed. ABSTRACT: The present study aimed to investigate the potential of basal cell-free fluorometric DNA (cfDNA) quantification as a prognostic biomarker in advanced non-small cell lung cancer (NSCLC) patients treated with an Immune Checkpoint Blockade (ICB). A discovery and validation cohort of 61 and 31 advanced lung cancer patients treated with ICB were included in this study. Quantification of cfDNA concentration was performed before the start of the treatment and patients were followed up for a median of 34 (30–40) months. The prognostic predicted value of cfDNA was evaluated based on ROC, and Cox regression was conducted via univariate and multivariate analyses to estimate the hazard ratio. We observed that a cfDNA cut-off of 0.55 ng/µL before the ICB determines the overall survival of patients with a log rank p-value of 3.3 × 10(−4). That represents median survivals of 3.8 vs. 17.5 months. Similar results were obtained in the validation cohort being the log rank p-value 3.8 × 10(−2) with median survivals of 5.9 vs. 24.3. The univariate and multivariate analysis revealed that the cut-off of 0.55 ng/µL before ICB treatment was an independent predictive factor and was significantly associated with a better survival outcome. High cfDNA concentrations identify patients with advanced NSCLC who do not benefit from the ICB. The determination of cfDNA is a simple test that could select a group of patients in whom new therapeutic strategies are needed. MDPI 2023-06-26 /pmc/articles/PMC10341133/ /pubmed/37444467 http://dx.doi.org/10.3390/cancers15133357 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Oliver, Javier
Onieva, Juan Luis
Garrido-Barros, María
Cobo-Dols, Manuel
Martínez-Gálvez, Beatriz
García-Pelícano, Ana Isabel
Dubbelman, Jaime
Benítez, José Carlos
Martín, Juan Zafra
Cantero, Alejandra
Pérez-Ruiz, Elisabeth
Rueda-Domínguez, Antonio
Barragán, Isabel
Fluorometric Quantification of Total Cell-Free DNA as a Prognostic Biomarker in Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Blockade
title Fluorometric Quantification of Total Cell-Free DNA as a Prognostic Biomarker in Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Blockade
title_full Fluorometric Quantification of Total Cell-Free DNA as a Prognostic Biomarker in Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Blockade
title_fullStr Fluorometric Quantification of Total Cell-Free DNA as a Prognostic Biomarker in Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Blockade
title_full_unstemmed Fluorometric Quantification of Total Cell-Free DNA as a Prognostic Biomarker in Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Blockade
title_short Fluorometric Quantification of Total Cell-Free DNA as a Prognostic Biomarker in Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Blockade
title_sort fluorometric quantification of total cell-free dna as a prognostic biomarker in non-small-cell lung cancer patients treated with immune checkpoint blockade
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341133/
https://www.ncbi.nlm.nih.gov/pubmed/37444467
http://dx.doi.org/10.3390/cancers15133357
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