Evidence map›Paper›PMID 42080308›Full record

ArticleBritish journal of haematology2026

High frequency of CD95

Romain Vazquez, Nicolas Deredec, Ismael Boussaid, Pierre Boncoeur, Camille Knosp, Amandine Houvert, Loria Zalmai, Chloe Friedrich, Carole Almire, Charles Dussiau and 9 more

Abstract read
In one paragraph

Article in British journal of haematology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. High frequency of CD95British journal of haematology · 2026
    Article
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

19 authors.

Romain VazquezAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.
Nicolas DeredecUniversité Paris Cité, Institut Cochin, CNRSUMR8104, INSERM U1016, a Member of OPALE Carnot Institute, The Organization for Partnerships in Leukemia, Paris, France.
Ismael BoussaidAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.
Pierre BoncoeurAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.
Camille KnospUniversité Paris Cité, Institut Cochin, CNRSUMR8104, INSERM U1016, a Member of OPALE Carnot Institute, The Organization for Partnerships in Leukemia, Paris, France.
Amandine HouvertUniversité Paris Cité, Institut Cochin, CNRSUMR8104, INSERM U1016, a Member of OPALE Carnot Institute, The Organization for Partnerships in Leukemia, Paris, France.
Loria ZalmaiAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.
Chloe FriedrichAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.
Carole AlmireAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.
Charles DussiauAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.
Lise WillemsUniversité Paris Cité, Institut Cochin, CNRSUMR8104, INSERM U1016, a Member of OPALE Carnot Institute, The Organization for Partnerships in Leukemia, Paris, France.
Rudy BirsenUniversité Paris Cité, Institut Cochin, CNRSUMR8104, INSERM U1016, a Member of OPALE Carnot Institute, The Organization for Partnerships in Leukemia, Paris, France.
Justine DecroocqUniversité Paris Cité, Institut Cochin, CNRSUMR8104, INSERM U1016, a Member of OPALE Carnot Institute, The Organization for Partnerships in Leukemia, Paris, France.
Didier BouscaryUniversité Paris Cité, Institut Cochin, CNRSUMR8104, INSERM U1016, a Member of OPALE Carnot Institute, The Organization for Partnerships in Leukemia, Paris, France.
Olivier KosmiderAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.
Shahram KordastiComprehensive Cancer Centre, King's College, London, UK.
Michaela FontenayAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.ORCID https://orcid.org/0000-0002-5492-6349
Yannick SimoniAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.
Nicolas ChapuisAssistance Publique-Hôpitaux de Paris, Centre-Université Paris Cité, Service d'hématologie Biologique, Hôpital Cochin, Paris, France.ORCID https://orcid.org/0000-0003-0601-3948

Funding

Fondation pour la Recherche Médicale FDM202106013429French National Research Agency ANR-23-IAHU-0005
6 · The paper itself

Abstract

Dynamic interactions between mutated haematopoietic cells and immune cells are key drivers of myelodysplastic neoplasms (MDS) initiation and progression. Regulatory T cells (Tregs) are central mediators of immunosuppression in MDS. We thus aimed to characterize Treg subpopulations in the bone marrow (BM) of MDS patients and to explore their clinical significance. Using mass cytometry and an unbiased multidimensional analytical approach, we first confirmed the presence in MDS BM of two Treg subsets, including the highly activated CD95

Indexed as

fas ReceptorLeukocyte Common AntigensMyelodysplastic SyndromesT-Lymphocytes, RegulatoryAdultAgedAged, 80 and overBone MarrowDisease ProgressionFemaleHumansImmune ToleranceMaleMiddle Agedfas ReceptorLeukocyte Common Antigensmyelodysplastic neoplasmsregulatory T cells

Identifiers

PMID42080308
PMCPMC13267479

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.