Detection rate and mutational landscape in extracranial arteriovenous malformations: a cohort study

BACKGROUND: This study aimed to assess the detection rate and spectrum of pathogenic variants (PVs) and candidate variants (variants of uncertain significance, VUS) in AVM patients. METHODS: In this retrospective multicenter cohort study, tissue and blood samples were collected from 114 patients with extracranial AVMs during treatment or when clinically indicated, for dedicated molecular genetic analyses. PVs (solved) and VUS were detected by targeted sequencing on DNA using gene panels analyzing genes suspected to be associated with AVMs. Unsolved cases were further categorized into unrestricted and restricted, with the latter reflecting methodological limitations. Subgroup analyses were carried out based on affected genes to explore associated genotype-phenotype correlations. RESULTS: PVs were identified in 80.7% (92/114) and VUS in 5.3% (6/114), resulting in a total detection rate of 86.0% (98/114). Unsolved cases accounted for 11.4% (13/114) including 6/13 (46.2%) with methodological restrictions. Somatic PVs were most frequent in KRAS (21.1%, 24/114), MAP2K1 (17.5%, 20/114), HRAS (8.8%, 10/114), and BRAF (7.9%, 9/114). Germline variants were found in RASA1 (7.0%, 8/114), PTEN (5.3%, 6/114), and EPHB4 (3.5%, 4/114). In a few cases, somatic variants in RASA1 (1.8%, 2/114) and PTEN (2.6%, 3/114) were identified. Additional PVs occurred in PIK3CA (3.5%, 4/114), SOS1 (2.6%, 3/114), GNAQ (1.8%, 2/114), and RIT1, RAF1, and GNA14 (each 0.9%, 1/114). Within the RAS/MAPK pathway, RAS variants (KRAS, HRAS) were linked to more severe clinical stages (65.6% vs. 40.0% MAP2K1 and 37.5% BRAF, p = 0.027) and higher relapse rates (55.6% vs. 43.8% MAP2K1 and 0% BRAF, p = 0.049). Germline variants showed a distinct distribution pattern with more syndromic presentations (61.1% vs. 15.6%, p < 0.001) compared to mosaic variants. CONCLUSIONS: Broad and sensitive testing enables a high detection rate of causative variants in AVMs. PVs and VUS detected reveal a broader genetic spectrum than previously recognized. Somatic RAS PVs were associated with more advanced disease stages and higher relapse rates than MAP2K1 and BRAF variants, while germline variants were more frequently linked to syndromic patterns.

Authors

Institutions

Publication Details

Journal
BMC Medicine
Published
2026-04-16
DOI
https://doi.org/10.1186/s12916-026-04874-0
Primary Topic
Vascular Malformations Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detection rate and mutational landscape in extracranial arteriovenous malformations: a cohort study

Sinan Deniz, Silke Laßmann, Veronika Vielsmeier, Michael Doppler et al.
BMC Medicine
Vascular Malformations Diagnosis and Treatment
article

Detection rate and mutational landscape in extracranial arteriovenous malformations: a cohort study

Sinan Deniz, Silke Laßmann, Veronika Vielsmeier, Michael Doppler, Wibke Uller, Florian Obereisenbuchner, Thomas Scherf, Özlem Cangir, Maciej Pech, Julia Haehl, Daniel Puhr‐Westerheide, Annegret Holm, Mirjam Schirren, Alena Sint, Max Seidensticker, Peter Sporns, Jakob B. W. Weiss, Jens Ricke, Friedrich G. Kapp, Susanne Hengst, for the APOLLON Investigators, Melanie A. Kimm, Richard Brill, Martin Zenker, Vanessa F. Schmidt, Alexandra Fröba-Pohl, Walter A. Wohlgemuth, Moritz Wildgruber, Denny Schanze, Alexandra Hartel, Julius H. Loeser, Beate Häberle
article en

Abstract

BACKGROUND: This study aimed to assess the detection rate and spectrum of pathogenic variants (PVs) and candidate variants (variants of uncertain significance, VUS) in AVM patients. METHODS: In this retrospective multicenter cohort study, tissue and blood samples were collected from 114 patients with extracranial AVMs during treatment or when clinically indicated, for dedicated molecular genetic analyses. PVs (solved) and VUS were detected by targeted sequencing on DNA using gene panels analyzing genes suspected to be associated with AVMs. Unsolved cases were further categorized into unrestricted and restricted, with the latter reflecting methodological limitations. Subgroup analyses were carried out based on affected genes to explore associated genotype-phenotype correlations. RESULTS: PVs were identified in 80.7% (92/114) and VUS in 5.3% (6/114), resulting in a total detection rate of 86.0% (98/114). Unsolved cases accounted for 11.4% (13/114) including 6/13 (46.2%) with methodological restrictions. Somatic PVs were most frequent in KRAS (21.1%, 24/114), MAP2K1 (17.5%, 20/114), HRAS (8.8%, 10/114), and BRAF (7.9%, 9/114). Germline variants were found in RASA1 (7.0%, 8/114), PTEN (5.3%, 6/114), and EPHB4 (3.5%, 4/114). In a few cases, somatic variants in RASA1 (1.8%, 2/114) and PTEN (2.6%, 3/114) were identified. Additional PVs occurred in PIK3CA (3.5%, 4/114), SOS1 (2.6%, 3/114), GNAQ (1.8%, 2/114), and RIT1, RAF1, and GNA14 (each 0.9%, 1/114). Within the RAS/MAPK pathway, RAS variants (KRAS, HRAS) were linked to more severe clinical stages (65.6% vs. 40.0% MAP2K1 and 37.5% BRAF, p = 0.027) and higher relapse rates (55.6% vs. 43.8% MAP2K1 and 0% BRAF, p = 0.049). Germline variants showed a distinct distribution pattern with more syndromic presentations (61.1% vs. 15.6%, p < 0.001) compared to mosaic variants. CONCLUSIONS: Broad and sensitive testing enables a high detection rate of causative variants in AVMs. PVs and VUS detected reveal a broader genetic spectrum than previously recognized. Somatic RAS PVs were associated with more advanced disease stages and higher relapse rates than MAP2K1 and BRAF variants, while germline variants were more frequently linked to syndromic patterns.

BMC MedicineVol. 24(1)
Boston Children's Hospital (US), Harvard University (US), University Medical Center Freiburg (DE), University Hospital of Basel (CH), LMU Klinikum (DE), University Hospital Magdeburg (DE), Stadtspital Waid (CH), St. Franziskus Hospital (DE), Martin Luther University Halle-Wittenberg (DE), Ludwig-Maximilians-Universität München (DE), Otto-von-Guericke-Universität Magdeburg (DE)
Openalex Percentile: Top 18%
Vascular Malformations Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.