Evidence map›Paper›PMID 41225257›Full record

ReviewInternational journal of hematology2026

Advancements in gene therapy for Wiskott-Aldrich syndrome: from early trials to emerging approaches.

Luana de Mambro, Roberta Sessa Stilhano

Abstract readReview
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In one paragraph

Review in International journal of hematology, 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. 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

2 authors.

Luana de MambroDepartment of Physiological Sciences, School of Medical Sciences (FCMSCSP), Santa Casa de São Paulo, 61 Dr. Cesário Mota Junior street, São Paulo, SP, 01221-020, Brazil.
Roberta Sessa StilhanoDepartment of Physiological Sciences, School of Medical Sciences (FCMSCSP), Santa Casa de São Paulo, 61 Dr. Cesário Mota Junior street, São Paulo, SP, 01221-020, Brazil. roberta.yamaguchi@fcmsantacasasp.edu.br.ORCID http://orcid.org/0000-0002-0653-5968

Funding

Fapesp 2019/10922-9FAPESP 2022/07471-8
6 · The paper itself

Abstract

Wiskott-Aldrich syndrome (WAS) is a rare X-linked recessive disorder characterized by microthrombocytopenia, eczema, recurrent infections, and immune dysregulation, affecting approximately 1 in 100,000 live births. While the disorder was historically fatal in early childhood, advances in hematopoietic stem cell transplantation (HSCT), gene therapy, and supportive care have improved survival, though morbidity remains high. Mutations in the WAS gene disrupt the WAS protein (WASp), which is essential for actin cytoskeleton dynamics, thereby impairing immune cell function. Over 466 mutations correlate with disease severity, from severe classic WAS to milder X-linked thrombocytopenia (XLT). Supportive therapies manage symptoms, while HSCT offers a cure for severe cases. Gene therapy has emerged as a promising alternative, with early gamma-retroviral trials showing efficacy but also a risk of leukemogenesis. Third-generation lentiviral vectors with self-inactivating LTRs (long terminal repeats) demonstrate improved safety and immune restoration in clinical trials. This review evaluates the evolution of gene therapy for WAS, from early trials to emerging genome editing approaches, assessing their efficacy, safety, and potential to transform clinical outcomes.

Indexed as

Genetic TherapyWiskott-Aldrich SyndromeClinical Trials as TopicGene EditingGenetic VectorsHematopoietic Stem Cell TransplantationHumansMutationWiskott-Aldrich Syndrome ProteinWAS protein, humanWiskott-Aldrich Syndrome ProteinGene therapyLentiviral vectorsWAS geneWiskott–Aldrich syndrome

Identifiers

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.