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

dc.contributor.authorVigón, Lorena
dc.contributor.authorLuna, Alejandro
dc.contributor.authorGalán Rubio, Miguel Ángel
dc.contributor.authorRodríguez Mora, Sara
dc.contributor.authorFuertes, Daniel
dc.contributor.authorMateos, Elena
dc.contributor.authorPiris Villaespesa, Miguel
dc.contributor.authorSan José Martínez, Esther
dc.contributor.authorRivera Torres, José
dc.contributor.authorCoirás, Mayte
dc.contributor.authorEt al.
dc.date.accessioned2023-03-16T14:00:21Z
dc.date.available2023-03-16T14:00:21Z
dc.date.issued2021
dc.description.abstractBCR-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.spa
dc.description.filiationUEMspa
dc.description.filiationUEVspa
dc.description.impact4.964 Q2 JCR 2021spa
dc.description.impact1.040 Q1 SJR 2021spa
dc.description.impactNo data IDR 2021spa
dc.description.sponsorshipFoundation for Biomedical Research of the Hospital Universitario Ramón y Cajal (IMP19_18)spa
dc.description.sponsorshipNIH grant (R01AI143567)spa
dc.description.sponsorshipSpanish Ministry of Econ omy and Competitiveness (SAF2016-78480-R, PID2019-110275RB-I00)spa
dc.description.sponsorshipSpanish AIDS Research Network (RD16CIII/0002/0001)spa
dc.identifier.citationVigón, L., Luna, A., Galán, M., Rodríguez-Mora, S., Fuertes, D., Mateos, E., Piris-Villaespesa, M., Bautista, G., San José, E., Rivera-Torres, J., Steegmann, J. L., De Ory, F., Pérez-Olmeda, M., Alcamí, J., Planelles, V., López-Huertas, M. R., García-Gutiérrez, V., & Coirás, M. (2020). Identification of immunological parameters as predictive biomarkers of relapse in patients with chronic myeloid leukemia on treatment-free remission. Journal of Clinical Medicine, 10(1), 42. https://doi.org/10.3390/jcm10010042spa
dc.identifier.doi10.3390/jcm10010042
dc.identifier.issn2077-0383
dc.identifier.urihttp://hdl.handle.net/11268/11902
dc.language.isoengspa
dc.peerreviewedSispa
dc.relation.publisherversionhttps://doi.org/10.3390/jcm10010042spa
dc.rightsAttribution 4.0 Internacional*
dc.rights.accessRightsopen accessspa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherLeucemia mielógena crónica BCR-ABL positivaspa
dc.subject.unescoCáncerspa
dc.subject.unescoTratamiento médicospa
dc.subject.unescoBiotecnologíaspa
dc.titleIdentification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remissionspa
dc.typejournal articlespa
dspace.entity.typePublication
relation.isAuthorOfPublicationa95caf3f-e850-4f48-9d28-84f4f81d8fea
relation.isAuthorOfPublication.latestForDiscoverya95caf3f-e850-4f48-9d28-84f4f81d8fea

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