Evidence map›Paper›PMID 38788176›Full record

ArticleBlood advances2024

Low frequency of Vγ9Vδ2 T cells predicts poor survival in newly diagnosed acute myeloid leukemia.

Anne-Charlotte Le Floch, Florence Orlanducci, Marie-Christine Béné, Amira Ben Amara, Marie-Sarah Rouviere, Nassim Salem, Aude Le Roy, Charlotte Cordier, Clémence Demerlé, Samuel Granjeaud and 10 more

Abstract read
In one paragraph

Article in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

20 authors.

Anne-Charlotte Le FlochEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.ORCID 0009-0007-2605-4145
Florence OrlanducciEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.
Marie-Christine BénéService d'Hématologie Biologique, CHU de Nantes, Nantes, France.ORCID 0000-0002-6569-7414
Amira Ben AmaraEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.
Marie-Sarah RouviereEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.ORCID 0000-0002-7139-7362
Nassim SalemEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.
Aude Le RoyEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.
Charlotte CordierEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.
Clémence DemerléEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.
Samuel GranjeaudSystems Biology Platform, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University UM105, Marseille, France.ORCID 0000-0001-9245-1535
Jean-François HamelDépartement de Biostatistiques, Centre Hospitalier Universitaire d'Angers, Université d'Angers, Angers, France.
Norbert IfrahDépartement d'Hématologie, Centre Hospitalier Universitaire d'Angers, Université d'Angers, INSERM, Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers, Angers, France.ORCID 0000-0003-3063-850X
Pascale Cornillet-LefebvreLaboratoire d'Hématologie, Centre Hospitalier Universitaire de Reims, Reims, France.
Jacques DelaunayDépartement d'Hématologie, Centre Hospitalier Universitaire de Nantes, Nantes, France.
Christian RécherDépartement d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopôle, Université Toulouse III Paul Sabatier, Toulouse, France.ORCID 0000-0002-3332-4525
Eric DelabesseLaboratoire d'Hématologie, Centre Hospitalier Universitaire de Toulouse, Institut Universitaire du Cancer de Toulouse Oncopôle, Université Toulouse III Paul Sabatier, Toulouse, France.
Arnaud PigneuxDépartement d'Hématologie et Thérapie Cellulaire, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France.
Norbert VeyDépartement d'hématologie, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université UM105, Marseille, France.ORCID 0000-0001-7027-040X
Anne-Sophie ChretienEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.ORCID 0000-0003-4685-5568
Daniel OliveEquipe Immunité et Cancer, Centre de Recherche en Cancérologie de Marseille, INSERM U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, UM105, Marseille, France.ORCID 0000-0003-1299-4113

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractIn several tumor subtypes, an increased infiltration of Vγ9Vδ2 T cells has been shown to have the highest prognostic value compared with other immune subsets. In acute myeloid leukemia (AML), similar findings have been based solely on the inference of transcriptomic data and have not been assessed with respect to confounding factors. This study aimed at determining, by immunophenotypic analysis (flow or mass cytometry) of peripheral blood from patients with AML at diagnosis, the prognostic impact of Vγ9Vδ2 T-cell frequency. This was adjusted for potential confounders (age at diagnosis, disease status, European LeukemiaNet classification, leukocytosis, and allogeneic hematopoietic stem cell transplantation as a time-dependent covariate). The cohort was composed of 198 patients with newly diagnosed (ND) AML. By univariate analysis, patients with lower Vγ9Vδ2 T cells at diagnosis had significantly lower 5-year overall and relapse-free survivals. These results were confirmed in multivariate analysis (hazard ratio [HR], 1.55 [95% confidence interval (CI), 1.04-2.30]; P = .030 and HR, 1.64 [95% CI, 1.06-2.53]; P = .025). Immunophenotypic alterations observed in patients with lower Vγ9Vδ2 T cells included a loss of some cytotoxic Vγ9Vδ2 T-cell subsets and a decreased expression of butyrophilin 3A on the surface of blasts. Samples expanded regardless of their Vγ9Vδ2 T-cell levels and displayed similar effector functions in vitro. This study confirms the prognostic value of elevated Vγ9Vδ2 T cells among lymphocytes in patients with ND AML. These results provide a strong rationale to consider consolidation protocols aiming at enhancing Vγ9Vδ2 T-cell responses.

Indexed as

Leukemia, Myeloid, AcuteReceptors, Antigen, T-Cell, gamma-deltaAdultAgedAged, 80 and overFemaleHumansImmunophenotypingMaleMiddle AgedPrognosisT-LymphocytesT-Lymphocyte SubsetsYoung AdultReceptors, Antigen, T-Cell, gamma-delta

Identifiers

PMID38788176
PMCPMC11372596

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.