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Identification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remission

BCR-ABL is an aberrant tyrosine kinase responsible for chronic myeloid leukemia (CML). Tyrosine kinase inhibitors (TKIs) induce a potent antileukemic response mostly based on the inhibition of BCR-ABL, but they also increase the activity of Natural Killer (NK) and CD8+ T cells. After several years,...

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Autores principales: Vigón, Lorena, Luna, Alejandro, Galán, Miguel, Rodríguez-Mora, Sara, Fuertes, Daniel, Mateos, Elena, Piris-Villaespesa, Miguel, Bautista, Guiomar, San José, Esther, Rivera-Torres, José, Steegmann, Juan Luis, de Ory, Fernando, Pérez-Olmeda, Mayte, Alcamí, José, Planelles, Vicente, López-Huertas, María Rosa, García-Gutiérrez, Valentín, Coiras, Mayte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795332/
https://www.ncbi.nlm.nih.gov/pubmed/33375572
http://dx.doi.org/10.3390/jcm10010042
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author Vigón, Lorena
Luna, Alejandro
Galán, Miguel
Rodríguez-Mora, Sara
Fuertes, Daniel
Mateos, Elena
Piris-Villaespesa, Miguel
Bautista, Guiomar
San José, Esther
Rivera-Torres, José
Steegmann, Juan Luis
de Ory, Fernando
Pérez-Olmeda, Mayte
Alcamí, José
Planelles, Vicente
López-Huertas, María Rosa
García-Gutiérrez, Valentín
Coiras, Mayte
author_facet Vigón, Lorena
Luna, Alejandro
Galán, Miguel
Rodríguez-Mora, Sara
Fuertes, Daniel
Mateos, Elena
Piris-Villaespesa, Miguel
Bautista, Guiomar
San José, Esther
Rivera-Torres, José
Steegmann, Juan Luis
de Ory, Fernando
Pérez-Olmeda, Mayte
Alcamí, José
Planelles, Vicente
López-Huertas, María Rosa
García-Gutiérrez, Valentín
Coiras, Mayte
author_sort Vigón, Lorena
collection PubMed
description BCR-ABL is an aberrant tyrosine kinase responsible for chronic myeloid leukemia (CML). Tyrosine kinase inhibitors (TKIs) induce a potent antileukemic response mostly based on the inhibition of BCR-ABL, but they also increase the activity of Natural Killer (NK) and CD8+ T cells. After several years, patients may interrupt treatment due to sustained, deep molecular response. By unknown reasons, half of the patients relapse during treatment interruption, whereas others maintain a potent control of the residual leukemic cells for several years. In this study, several immunological parameters related to sustained antileukemic control were analyzed. According to our results, the features more related to poor antileukemic control were as follows: low levels of cytotoxic cells such as NK, (Natural Killer T) NKT and CD8±TCRγβ+ T cells; low expression of activating receptors on the surface of NK and NKT cells; impaired synthesis of proinflammatory cytokines or proteases from NK cells; and HLA-E*0103 homozygosis and KIR haplotype BX. A Random Forest algorithm predicted 90% of the accuracy for the classification of CML patients in groups of relapse or non-relapse according to these parameters. Consequently, these features may be useful as biomarkers predictive of CML relapse in patients that are candidates to initiate treatment discontinuation.
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spelling pubmed-77953322021-01-10 Identification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remission Vigón, Lorena Luna, Alejandro Galán, Miguel Rodríguez-Mora, Sara Fuertes, Daniel Mateos, Elena Piris-Villaespesa, Miguel Bautista, Guiomar San José, Esther Rivera-Torres, José Steegmann, Juan Luis de Ory, Fernando Pérez-Olmeda, Mayte Alcamí, José Planelles, Vicente López-Huertas, María Rosa García-Gutiérrez, Valentín Coiras, Mayte J Clin Med Article BCR-ABL is an aberrant tyrosine kinase responsible for chronic myeloid leukemia (CML). Tyrosine kinase inhibitors (TKIs) induce a potent antileukemic response mostly based on the inhibition of BCR-ABL, but they also increase the activity of Natural Killer (NK) and CD8+ T cells. After several years, patients may interrupt treatment due to sustained, deep molecular response. By unknown reasons, half of the patients relapse during treatment interruption, whereas others maintain a potent control of the residual leukemic cells for several years. In this study, several immunological parameters related to sustained antileukemic control were analyzed. According to our results, the features more related to poor antileukemic control were as follows: low levels of cytotoxic cells such as NK, (Natural Killer T) NKT and CD8±TCRγβ+ T cells; low expression of activating receptors on the surface of NK and NKT cells; impaired synthesis of proinflammatory cytokines or proteases from NK cells; and HLA-E*0103 homozygosis and KIR haplotype BX. A Random Forest algorithm predicted 90% of the accuracy for the classification of CML patients in groups of relapse or non-relapse according to these parameters. Consequently, these features may be useful as biomarkers predictive of CML relapse in patients that are candidates to initiate treatment discontinuation. MDPI 2020-12-25 /pmc/articles/PMC7795332/ /pubmed/33375572 http://dx.doi.org/10.3390/jcm10010042 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
Vigón, Lorena
Luna, Alejandro
Galán, Miguel
Rodríguez-Mora, Sara
Fuertes, Daniel
Mateos, Elena
Piris-Villaespesa, Miguel
Bautista, Guiomar
San José, Esther
Rivera-Torres, José
Steegmann, Juan Luis
de Ory, Fernando
Pérez-Olmeda, Mayte
Alcamí, José
Planelles, Vicente
López-Huertas, María Rosa
García-Gutiérrez, Valentín
Coiras, Mayte
Identification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remission
title Identification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remission
title_full Identification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remission
title_fullStr Identification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remission
title_full_unstemmed Identification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remission
title_short Identification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remission
title_sort identification of immunological parameters as predictive biomarkers of relapse in patients with chronic myeloid leukemia on treatment-free remission
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795332/
https://www.ncbi.nlm.nih.gov/pubmed/33375572
http://dx.doi.org/10.3390/jcm10010042
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