Evidence map›Paper›PMID 41272322›Full record

ReviewEMBO molecular medicine2026

Vascular malformations: from genetics to therapeutics.

Gabriel Morin, Ilaria Galasso, Guillaume Canaud

Abstract readReview
In one paragraph

Review in EMBO molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Gabriel Morin *INSERM U1151, Institut Necker-Enfants Malades, Paris, France.ORCID 0000-0002-8423-6701
Ilaria Galasso *INSERM U1151, Institut Necker-Enfants Malades, Paris, France.
Guillaume CanaudINSERM U1151, Institut Necker-Enfants Malades, Paris, France. guillaume.canaud@inserm.fr.ORCID 0000-0002-9901-8635

Funding

Agence Nationale de la Recherche (ANR) 19-CE14-0030-01Agence Nationale de la Recherche (ANR) ANR-18-RHUS-005Agence Nationale de la Recherche (ANR) ANR-25-CHBS-0008EC | European Research Council (ERC) 101000948Fondation recherche médicale FDM202006011222
6 · The paper itself

Abstract

Vascular malformations (VMs) are congenital disorders characterized by structurally abnormal blood and lymphatic vessels. Advances in genetics have revealed that most sporadic VMs result from post-zygotic variants in genes involved in key endothelial signaling pathways, including the phosphoinositide-3-kinase (PI3K) and the mitogen-associated proliferation kinase (MAPK) pathways. As these variants are shared with cancer, genetics now have theragnostic impact by helping predict relevant targeted therapies. mTOR and PI3Kα inhibitors such as sirolimus and alpelisib have shown promising efficacy in slow-flow VMs, while reports have suggested that MAPK inhibitors such as trametinib may improve arteriovenous malformations. Despite these advances, several challenges remain, including obtaining accurate genetic diagnosis, enhancing treatment efficacy while mitigating drug-related toxicities, and personalizing multimodal treatment strategies. Emerging approaches such as mutant-selective inhibitors, proteolysis-targeting chimeras, and gene therapy hold promises for improving treatment specificity and minimizing adverse effects. This review provides an overview of the genetic bases of VMs, recent advances in targeted therapies, and future directions in the field, highlighting the ongoing evolution of precision medicine for VMs.

Indexed as

Vascular MalformationsAnimalsGenetic TherapyHumansMolecular Targeted TherapyPhosphatidylinositol 3-KinasesSignal TransductionPhosphatidylinositol 3-KinasesMosaicismPIK3CARASTargeted TherapiesVascular Malformations

Identifiers

PMID41272322
PMCPMC12808708

What OpenQuestion holds

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Registered trials

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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.