Evidence map›Paper›PMID 40917789›Full record

ReviewImmune network2025

Adoptive Cellular Therapies in Pediatric Leukemia Patients After Allogeneic-Hematopoietic Stem Cell Transplants.

Leanne Palichuk, Enoch Tin, Jongbok Lee

Abstract readReview
In one paragraph

Review in Immune network, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Leanne PalichukDepartment of Medical Science, Cumming School of Medicine, University of Calgary, Calgary T2N 1N4, Canada.ORCID https://orcid.org/0009-0000-9047-3511
Enoch TinRiddell Centre for Cancer Immunotherapy, Arnie Charbonneau Cancer Institute, University of Calgary, Calgary T2N 1N4, Canada.ORCID https://orcid.org/0000-0001-7838-0400
Jongbok LeeRiddell Centre for Cancer Immunotherapy, Arnie Charbonneau Cancer Institute, University of Calgary, Calgary T2N 1N4, Canada.ORCID https://orcid.org/0000-0002-4744-6021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) provides a curative potential for high-risk patients with leukemia following first-line therapies, driven by potent immune cell-dependent anti-tumour activities. Although deep remission can be achieved, many patients relapse after allo-HSCT, and further treatment options are scarce. Given the potent immune cell-mediated anti-leukemic effects of allo-HSCT, adoptive cellular therapies (ACTs) have been explored as an adjunctive therapy to enhance the efficacy of allo-HSCT or to treat patients who relapse after allo-HSCT. Interestingly, evidence suggests a stratified therapeutic approach is warranted between pediatric and adult leukemic cases, due to differences in genetic mutations and treatment tolerability. However, pediatric-specific investigations are limited, especially in the cellular therapeutic landscape to treat relapse after allo-HSCT. Known severe toxicities attributed to ACTs need to be addressed for this younger population to ensure prolonged quality of life. This review summarizes the current landscape of ACTs, including donor lymphocyte infusion, chimeric Ag receptor-T cell, NK cell, and double-negative T cell therapies, for treating pediatric leukemia post allo-HSCT, highlighting efficacy, safety, and gaps in pediatric-specific data to guide future research.

Indexed as

Adoptive transferCell- and tissue-based therapyImmunotherapy, adoptiveLeukemiaPediatrics

Identifiers

PMID40917789
PMCPMC12411104

What OpenQuestion holds

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LicenceCC BY-NC
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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.