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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.
Afiliación
  • Vigón L; Immunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
  • Luna A; Hematology Service, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain.
  • Galán M; Pharmacy and Biotechnology Department, Faculty of Biomedical Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.
  • Rodríguez-Mora S; Immunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
  • Fuertes D; School of Telecommunications Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
  • Mateos E; Immunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
  • Piris-Villaespesa M; Hematology Service, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain.
  • Bautista G; Hematology Service, Hospital Universitario Puerta de Hierro, 28222 Madrid, Spain.
  • San José E; Pharmacy and Biotechnology Department, Faculty of Biomedical Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.
  • Rivera-Torres J; Pharmacy and Biotechnology Department, Faculty of Biomedical Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.
  • Steegmann JL; Hematology Service, Hospital Universitario La Princesa, 28006 Madrid, Spain.
  • de Ory F; Serology Service, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
  • Pérez-Olmeda M; Serology Service, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
  • Alcamí J; Immunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
  • Planelles V; Division of Microbiology and Immunology, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.
  • López-Huertas MR; Immunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
  • García-Gutiérrez V; Hematology Service, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain.
  • Coiras M; Immunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
J Clin Med ; 10(1)2020 Dec 25.
Article en En | MEDLINE | ID: mdl-33375572
ABSTRACT
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±TCRγß+ 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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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2020 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2020 Tipo del documento: Article País de afiliación: España