Evidence map›Paper›PMID 39259326›Full record

ArticleAnnals of hematology2025

Analysis of Wilms' tumor protein 1 specific TCR repertoire in AML patients uncovers higher diversity in patients in remission than in relapsed.

Sofie Gielis, Donovan Flumens, Sanne van der Heijden, Maarten Versteven, Hans De Reu, Esther Bartholomeus, Jolien Schippers, Diana Campillo-Davo, Zwi N Berneman, Sébastien Anguille and 5 more

Abstract read
In one paragraph

Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Machine learning in AIRR diagnostics: Advances and applications.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Challenges and future directions of AIRR-seq-based diagnostics.Immunoinformatics (Amsterdam, Netherlands) · 2025
    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

15 authors.

Sofie GielisAdrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.
Donovan FlumensLaboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.
Sanne van der HeijdenLaboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.
Maarten VerstevenLaboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.
Hans De ReuLaboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.
Esther BartholomeusAntwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium.
Jolien SchippersGenetics, Pharmacology and Physiopathology of Heart, Blood Vessels and Skeleton (GENCOR) department, University of Antwerp, Edegem, Belgium.
Diana Campillo-DavoLaboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.
Zwi N BernemanLaboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.
Sébastien AnguilleLaboratory of Experimental Hematology (LEH), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium.
Evelien SmitsAntwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium.
Benson OgunjimiAntwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium.
Eva LionAntwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium.
Kris LaukensAdrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.
Pieter MeysmanAdrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium. pieter.meysman@uantwerpen.be.

Funding

Baillet Latour Fund ''Cellular Immunotherapy'' grantFonds Wetenschappelijk Onderzoek 1861219NFonds Wetenschappelijk Onderzoek 1S24517NFonds Wetenschappelijk Onderzoek 1S48819NKom op tegen Kanker Emmanuel van der Schueren fellowshipUniversiteit Antwerpen BOF-KP2018Universiteit Antwerpen DOCPRO PhD grant of the Special Research Fund
6 · The paper itself

Abstract

The Wilms' tumor protein 1 (WT1) is a well-known and prioritized tumor-associated antigen expressed in numerous solid and blood tumors. Its abundance and immunogenicity have led to the development of different WT1-specific immune therapies. The driving player in these therapies, the WT1-specific T-cell receptor (TCR) repertoire, has received much less attention. Importantly, T cells with high affinity against the WT1 self-antigen are normally eliminated after negative selection in the thymus and are thus rare in peripheral blood. Here, we developed computational models for the robust and fast identification of WT1-specific TCRs from TCR repertoire data. To this end, WT1

Indexed as

Leukemia, Myeloid, AcuteReceptors, Antigen, T-CellWT1 ProteinsAdultEpitopes, T-LymphocyteFemaleHematopoietic Stem Cell TransplantationHumansMaleMiddle AgedRecurrenceRemission InductionEpitopes, T-LymphocyteReceptors, Antigen, T-CellWT1 protein, humanWT1 ProteinsAcute myeloid leukemiaEpitope specificityMachine learningTCR repertoire

Identifiers

PMID39259326
PMCPMC11868354

What OpenQuestion holds

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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 OpenQuestion graph.