Evidence map›Paper›PMID 33375572›Full record

ArticleJournal of clinical medicine2020

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

Lorena Vigón, Alejandro Luna, Miguel Galán, Sara Rodríguez-Mora, Daniel Fuertes, Elena Mateos, Miguel Piris-Villaespesa, Guiomar Bautista, Esther San José, José Rivera-Torres and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 23 citations in OpenAlex.

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  10. Impact of the COVID-19 pandemic on the diagnosis and treatment of onco-hematologic patients: a discussion paper.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 2 countries.

Lorena VigónImmunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
Alejandro LunaHematology Service, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain.
Miguel GalánPharmacy and Biotechnology Department, Faculty of Biomedical Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.ORCID 0000-0002-6695-1509
Sara Rodríguez-MoraImmunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
Daniel FuertesSchool of Telecommunications Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-5746-2199
Elena MateosImmunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
Miguel Piris-VillaespesaHematology Service, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain.
Guiomar BautistaHematology Service, Hospital Universitario Puerta de Hierro, 28222 Madrid, Spain.
Esther San JoséPharmacy and Biotechnology Department, Faculty of Biomedical Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.ORCID 0000-0002-5707-628X
José Rivera-TorresPharmacy and Biotechnology Department, Faculty of Biomedical Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.ORCID 0000-0003-0365-9604
Juan Luis SteegmannHematology Service, Hospital Universitario La Princesa, 28006 Madrid, Spain.
Fernando de OrySerology Service, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
Mayte Pérez-OlmedaSerology Service, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.ORCID 0000-0003-4553-5423
José AlcamíImmunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.ORCID 0000-0003-0023-7377
Vicente PlanellesDivision of Microbiology and Immunology, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.
María Rosa López-HuertasImmunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.
Valentín García-GutiérrezHematology Service, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain.
Mayte CoirasImmunopathology Unit, National Center of Microbiology, Instituto de Salud Carlos III, 28220 Madrid, Spain.ORCID 0000-0001-6464-5770
Instituto de Salud Carlos III · ESInstituto Ramón y Cajal de Investigación Sanitaria · ESUniversidad Europea de Madrid · ESHospital Universitario de La Princesa · ESHospital Universitario Puerta de Hierro Majadahonda · ESUniversidad Politécnica de Madrid · ESUniversity of Utah · US

Funding

Tyrosine Kinase inhibition: The New Front in HIV Cure EffortsR01AI143567 · NIAID · UNIVERSITY OF UTAH · PI COIRAS, MAYTE, PLANELLES, VICENTE · 2019 to 2023
$2.3M
Instituto de Salud Carlos III FIS PI16CIII/00034-ISCIII-FEDERInstituto Ramon y Cajal de Investigación Sanitaria IMP19_18NIH HHS R01AI143567Spanish AIDS Research Network RD16CIII/0002/0001Spanish Ministry of Economy and Competitiveness SAF2016-78480-R, PID2019-110275RB-I00
6 · The paper itself

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±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.

Indexed as

chronic myeloid leukemiaimmunological responsetreatment-free remission

Identifiers

PMID33375572
PMCPMC7795332
OpenAlexW3116431847

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.