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

dc.contributor.authorVigon-Hernandez, Lorena
dc.contributor.authorLuna, Alejandro
dc.contributor.authorGalán Burgos, Miguel
dc.contributor.authorRodríguez-Mora, Sara
dc.contributor.authorFuertes, Daniel
dc.contributor.authorMateos, Elena
dc.contributor.authorPiris-Villaespesa, Miguel
dc.contributor.authorBautista, Guiomar
dc.contributor.authorSan José, Esther
dc.contributor.authorRivera-Torres, José
dc.contributor.authorSteegmann, Juan Luis
dc.contributor.authorDe Ory, Fernando de
dc.contributor.authorPerez-Olmeda, Mayte
dc.contributor.authorAlcamí, José
dc.contributor.authorPlanelles, Vicente
dc.contributor.authorLopez-Huertas, Maria Rosa
dc.contributor.authorGarcía-Gutiérrez, Valentín
dc.contributor.authorCoiras, Mayte
dc.contributor.funderFundación para la Investigación Biomédica del Hospital Universitario Ramón y Cajal
dc.contributor.funderMinisterio de Economía y Competitividad (España)
dc.contributor.funderRed de Investigación Cooperativa en Investigación en Sida (España)
dc.contributor.funderInstituto de Salud Carlos III
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
dc.date.accessioned2021-01-13T09:40:53Z
dc.date.available2021-01-13T09:40:53Z
dc.date.issued2020-12-25
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.es_ES
dc.description.peerreviewedes_ES
dc.description.sponsorshipThis work was supported by the Foundation for Biomedical Research of the HospitalUniversitario Ramón y Cajal (IMP19_18); NIH grant R01AI143567; the Spanish Ministry of Econ-omy and Competitiveness (SAF2016-78480-R, PID2019-110275RB-I00); the Spanish AIDS ResearchNetwork RD16CIII/0002/0001 that is included in Acción Estratégica en Salud, Plan Nacional deInvestigación Científica, Desarrollo e Innovación Tecnológica 2016–2020, Instituto de Salud CarlosIII, European Region Development Fund (ERDF). The work of María Rosa López-Huertas and SaraRodríguez-Mora is financed by NIH grant R01AI143567. The work of Lorena Vigón is supported bya pre-doctoral grant from Instituto de Salud Carlos III (FIS PI16CIII/00034-ISCIII-FEDER). The workof Elena Mateos is supported by the Spanish Ministry of Economy and Competitiveness SAF2016-78480-R. The work of Miguel Galán is supported by a Scholarship of the Scientific Foundation of theSpanish Association against Cancer (AECC) for the training of staff scientists in cancer research.es_ES
dc.format.number1es_ES
dc.format.volume10es_ES
dc.identifier.citationJ Clin Med . 2020 Dec 25;10(1):42.es_ES
dc.identifier.doi10.3390/jcm10010042es_ES
dc.identifier.e-issn2077-0383
dc.identifier.journalJournal of clinical medicinees_ES
dc.identifier.pubmedID33375572es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/11606
dc.language.isoenges_ES
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PID2019-110275RB-I00es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/RD16CIII/0002/0001es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/FIS PI16CIII/00034-ISCIII-FEDERes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/SAF2016-78480-Res_ES
dc.relation.publisherversionhttps://doi.org/10.3390/jcm10010042es_ES
dc.repisalud.centroISCIII::Centro Nacional de Microbiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectChronic myeloid leukemiaes_ES
dc.subjectImmunological responsees_ES
dc.subjectTreatment-free remissiones_ES
dc.titleIdentification of Immunological Parameters as Predictive Biomarkers of Relapse in Patients with Chronic Myeloid Leukemia on Treatment-Free Remission.es_ES
dc.typeresearch articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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