Evidence map›Paper›PMID 40613583›Full record

ArticleAmerican journal of medical genetics. Part A2025

Multiple Genomic Technologies Validate Rare Novel Variant and Direct Medical Care in Vascular Anomalies.

Luciana Daniela Garlisi Torales, Kristina Woodis, Allison Britt, Lea F Surrey, Abhay Srinivasan, Arupa Ganguly, Maria Limmina, Dong Li, Suzanne P MacFarland, Denise M Adams and 1 more

Erratum issuedAbstract readCase Reports
In one paragraph

Article in American journal of medical genetics. Part A, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Luciana Daniela Garlisi ToralesUnit on Vascular Malformations, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA.
Kristina WoodisUnit on Vascular Malformations, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA.
Allison BrittComprehensive Vascular Anomalies Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-6601-0453
Lea F SurreyComprehensive Vascular Anomalies Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Abhay SrinivasanComprehensive Vascular Anomalies Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-0180-4719
Arupa GangulyUniversity of Pennsylvania Genetic Diagnostic Laboratory, Philadelphia, Pennsylvania, USA.
Maria LimminaUniversity of Pennsylvania Genetic Diagnostic Laboratory, Philadelphia, Pennsylvania, USA.
Dong LiComprehensive Vascular Anomalies Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Suzanne P MacFarlandDivision of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-5894-6403
Denise M AdamsComprehensive Vascular Anomalies Program, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Sarah E SheppardUnit on Vascular Malformations, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA.ORCID 0000-0003-3480-8123

Funding

Cellular and Molecular Mechanisms of Vascular MalformationsZIAHD009003 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI SHEPPARD, SARAH · 2022 to 2025
$6.1M
Children's Hospital of Philadelphia Frontier Program GrantEunice Kennedy Shriver National Institute of Child Health and Human Development ZIA-HD009003Intramural NIH HHS ZIA HD009003
6 · The paper itself

Abstract

Some vascular anomalies, such as hamartomas associated with PTEN hamartoma tumor syndrome (PHTS) and fibroadipose vascular anomaly (FAVA, often due to PI3KCA variants), share similar clinical, radiological, and histopathological presentations that challenge clinicians to provide an accurate diagnosis. Genetic testing can help clinicians differentiate these two vascular anomalies to provide proper treatment for patients. An 11-year-old female with macrocephaly presented with a painful lesion in her right ankle and was initially diagnosed with FAVA and treated with sirolimus. Initial genetic testing from a biopsy sample was negative. Subsequently, however, repeat clinical genetic testing and research deep exome sequencing from a second tissue biopsy sample identified a mosaic variant in PTEN (NM_00314.7) c.683delA p.Asn228Ilefs*28 with a variant allele fraction (VAF) of 2.0%-2.1%, ultimately changing the diagnosis from FAVA to a PTEN hamartoma. To evaluate the germline status of this patient, PTEN sequencing and deletion duplication testing was sent from saliva and identified a different variant in PTEN (NM_000314.4) c.202_209+18delins27, estimated to be 20%-30% VAF. Sanger sequencing validated this novel variant as germline, leading to cancer screening in the patient. This case exemplifies the need for genetic reevaluation as sequencing technology continues to update rapidly, repeat sampling in cases of suspected mosaicism, the two-hit hypothesis in the development of vascular malformations, and emphasizes the importance of genetic diagnosis in vascular malformations, especially in this case which led to the identification of a cancer predisposition syndrome.

Indexed as

GenomicsHamartoma Syndrome, MultiplePTEN PhosphohydrolaseVascular MalformationsChildFemaleGenetic Predisposition to DiseaseGenetic TestingHumansMosaicismPTEN PhosphohydrolasePTEN protein, humanfibroadipose vascular anomaly (FAVA)PTEN hamartomasirolimussomatic mosaicismvascular malformation

Identifiers

PMID40613583
PMCPMC12747425

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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.