Evidence map›Paper›PMID 41723532›Full record

ArticleJournal of hematology & oncology2026

Allogeneic stem cell transplantation for major T-cell lymphoma entities: an analysis of the EBMT-lymphoma working party.

Evgenii Shumilov, Maud Ngoya, Philipp Berning, Raynier Devillier, Edouard Forcade, Thomas Schroeder, Frank Kroschinsky, Matthias Stelljes, Veronika Valkova, Francesca Kinsella and 17 more

Abstract read
In one paragraph

Article in Journal of hematology & oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. 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

27 authors.

Evgenii ShumilovDepartment of Medicine A, Hematology and Oncology, University Hospital of Muenster, Albert-Schweitzer-Campus 1 A1, 48149, Muenster, Germany.
Maud NgoyaEuropean Society for Blood and Marrow Transplantation, Paris Study Unit, Hôpital Saint-Antoine, Paris, France.
Philipp BerningDepartment of Medicine A, Hematology and Oncology, University Hospital of Muenster, Albert-Schweitzer-Campus 1 A1, 48149, Muenster, Germany.
Raynier DevillierAix-Marseille Univ, MSC Lab, Department of Hematology, Institut Paoli-Calmettes, Marseille, France.
Edouard ForcadeCHU Bordeaux, Hôpital Haut-Leveque, Pessac, France.
Thomas SchroederDepartment of Hematology and Stem Cell Transplantation, West German Cancer Center Essen, University Hospital Essen, Essen, Germany.
Frank KroschinskyDepartment of Internal Medicine I, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany.
Matthias StelljesDepartment of Medicine A, Hematology and Oncology, University Hospital of Muenster, Albert-Schweitzer-Campus 1 A1, 48149, Muenster, Germany.
Veronika ValkovaInstitute of Hematology and Blood Transfusion, Prague, Czech Republic.
Francesca KinsellaCentre for Clinical Haematology, Queen Elizabeth Hospital Birmingham, Birmingham, UK.
Patrice ChevallierHematology Department, CHU Hotel-Dieu, Nantes, France.
Gitte OlesenDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Mohamad MohtyHematology Department, Hôpital Saint-Antoine, and Université Pierre & Marie Curie, Paris, France.
Flore Sicre de FontbruneHôpital Saint Louis, AP-HP, Unité d'Hématologie Et Transplantation, Paris, France.
Eva Wagner-DrouetDepartment of Medicine, Haematopoietic Stem Cell Transplantation, University Medical Center Mainz, Mainz, Germany.
Robert ZeiserDepartment of Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Freiburg University Medical Center, Freiburg, Germany.
Marco HerlingDepartment for Hematology, Cell Therapy and Hemostaseology, University Hospital Leipzig, Leipzig, Germany.
Georg-Nikolaus FrankeDepartment for Hematology, Cell Therapy and Hemostaseology, University Hospital Leipzig, Leipzig, Germany.
Lucía López-CorralDepartment of Hematology, IBSAL, CIBERONC, Hospital Universitario de Salamanca, Salamanca, Spain.
Francis AyukDepartment of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Georg LenzDepartment of Medicine A, Hematology and Oncology, University Hospital of Muenster, Albert-Schweitzer-Campus 1 A1, 48149, Muenster, Germany.
Gerald WulfDepartment of Hematology and Medical Oncology, University Hospital of Goettingen, Goettingen, Germany.
Anna SuredaClinical Hematology Department, Institut Català d'Oncologia - L'Hospitalet, IDIBELL, Universitat de Barcelona, Barcelona, Spain.
Arain LaurenceDepartment of Haematology, University College London Hospital, London, UK.
Peter DregerDepartment of Hematology & Oncology, University Hospital Heidelberg, Heidelberg, Germany.
Ali BazarbachiBone Marrow Transplantation Program, Department of Internal Medicine, American University of Beirut, Beirut, Lebanon.
Norbert SchmitzDepartment of Medicine A, Hematology and Oncology, University Hospital of Muenster, Albert-Schweitzer-Campus 1 A1, 48149, Muenster, Germany. norbert.schmitz@ukmuenster.de.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundAllogeneic hematopoietic stem cell transplantation (allo-SCT) is an established treatment for peripheral T-cell lymphoma (PTCL), particularly for patients with relapsed/refractory (r/r) disease. We aimed to retrieve novel information on the role of histology, disease status prior to transplantation, and donor choice for patients with PTCL not otherwise specified (NOS), angioimmunoblastic T-cell lymphoma (AITL), and anaplastic lymphoma kinase (ALK)-negative ALCL. We compared imaging by computed tomography (CT) or positron emission tomography (PET) for defining disease status prior to allo-SCT.

methodsEligible were adult patients with PTCL-NOS, AITL, and ALK-negative ALCL undergoing allo-SCT between 2010 and 2022 and reported to EBMT.

results1958 patients underwent allo-SCT. Of patients with known number of prior lines of therapies (n = 1310), 301 (23%), 431 (32.9%) and 578 (44.1%) patients received allo-SCT after one (1L), two (2L) or three or more therapy lines (3L +), respective. Three-year GvHD-free, relapse-free survival (GRFS), progression-free survival (PFS) and overall survival (OS) were 35.8%, 50.9% and 56.8%, respectively. Three-year relapse incidence (RI) and non-relapse mortality were 25.1% and 24.1%, respectively. In multivariate analysis, histology other than AITL, no complete response (CR) at transplantation, having a haploidentical donor and higher age at allo-SCT resulted in significantly lower PFS and/or OS. Prior autologous SCT had no impact on the results of allo-SCT and major outcomes did not significantly change when the analyses were restricted to the patients with PET-based response at allo-SCT. Patients allografted in partial response (PR) or SD/PD still achieved long-term survival with a 3-year PFS/OS of 46%/53.7% and 39.6%/43.6%, respectively.

conclusionAllo-SCT is a valid treatment option in relapsed/refractory PTCL where targeted therapies still play a limited role. Patients with AITL survived significantly better than patients with PTCL NOS or ALK-negative ALCL following a significantly lower RI, also when comparing CR/complete metabolic response (CMR) and PR patients separately. Higher age and non-CR at allo-SCT are associated with worse outcomes.

Indexed as

Hematopoietic Stem Cell TransplantationLymphoma, T-CellLymphoma, T-Cell, PeripheralAdultAgedFemaleHumansMaleMiddle AgedTransplantation, HomologousYoung AdultAITLALK-negative ALCLAllogeneic stem cell transplantationEBMTPTCL NOS

Identifiers

PMID41723532
PMCPMC12930567

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.