Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
July 28, 2026 · via Europe PMC
GJA4-Associated Cavernous Venous Malformation: A Distinct Morphologic and Molecular Subtype of Venous Malformation.
Chen KH, Huang HY, Chuang HC, Chen TC, Lin HC, Ng KF, Hsu JT, Huang SC.
AI summary — for doctors, generated from the abstract only
GJA4 p.Gly41Cys mutation marks a distinct classical cavernous venous malformation subtype and is a sensitive, specific diagnostic marker.
What was studied
Molecular and histologic study of 54 superficial cavernous-pattern venous malformations using MassARRAY and digital PCR for GJA4, TEK, PIK3CA and GNAQ family genes.
Key findings
- GJA4 mutation was present in 94% (30/32) of classical cavernous VMs and absent in other subtypes.
- Classic VMs frequently had TEK or PIK3CA mutations (5/7).
- 75% of classical CVMs needed diagnostic revision; all CL-CVM patients with follow-up had no evidence of disease while 2 of 7 classic VMs recurred.
Clinical relevance
It supports reclassifying some lesions called cavernous hemangiomas and may guide treatment choices.
Who should care
Limitations
Small, retrospective series from a limited setting, with drivers of non-classical lesions largely unknown.
Consider GJA4 testing when classifying superficial cavernous venous malformations.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
The classification of superficial cavernous-pattern venous malformations (VMs) remains a subject of clinical debate because of overlapping morphologic features and a lack of defined molecular drivers, particularly for lesions traditionally termed "cavernous hemangiomas." This study aimed to delineate the molecular landscape of these lesions, focusing on the significance of GJA4 mutations. We evaluated 54 cases of superficial cavernous-pattern VMs. Molecular analysis was performed using MassARRAY and digital PCR to detect mutations in GJA4, TEK, PIK3CA, GNAQ, GNA11, and GNA14. Histologic reappraisal was conducted to correlate clinicopathologic features with molecular findings. Histologic stratification categorized the cohort into classic VM (cVM, n = 7) and cavernous VM (CVM, n = 47); the latter was further subdivided into classical CVM (CL-CVM, n = 32) and nonclassical CVM (nCL-CVM, n = 15) subtypes. GJA4 (c.121G>T, p. Gly41Cys) mutations were identified in 94% (30/32) of CL-CVM cases but were entirely absent in all cVM and nCL-CVM cases. In contrast, cVMs frequently harbored TEK or PIK3CA mutations (5/7, 71%). The molecular drivers for nCL-CVM remained largely unknown, except for a single GNA11 mutation. Morphologically, CL-CVM was characterized by dermal localization, circumscribed margins, and "back-to-back" vascular channels with fibromyxoid walls displaying circumferential smooth muscle actin and h-caldesmon expression. Notably, 75% (24/32) of CL-CVM cases required a diagnostic revision from their original entries. Clinical follow-up data (n = 50; range, 0.1-114 months) demonstrated that all patients with CL-CVM (n = 29) and nCL-CVM (n = 14) achieved no evidence of disease status. In contrast, 29% (2/7) of cVMs resulted in residual or recurrent disease. In conclusion, GJA4 p. Gly41Cys mutation is a highly sensitive and specific molecular marker for CL-CVMs. Our findings support a genotype-phenotype reclassification of superficial CVMs, in which GJA4 mutations define a distinct, noninfiltrating clinicopathologic entity, separating it from the broader spectrum of superficial cavernous-pattern vascular anomalies.
DOI
10.1016/j.modpat.2026.101046
PMID
42520969
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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