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Hybrid neurofibroma/schwannoma in schwannomatosis — a diagnostically challenging benign peripheral nerve sheath tumour

  • Hybrid neurofibroma/schwannoma tumors (HNS) represent a still underrecognized, yet clinically and diagnostically significant entity within the spectrum of schwannomatosis (SWN). While classical schwannomas have been well known for decades, HNS have only recently been described as a distinct histological pattern, composed of intermixed features typical of both schwannomas and neurofibromas. Differentiating HNS from pure neurofibroma (Nf) is critical, as misclassification may lead to an incorrect diagnosis of neurofibromatosis type 1 rather than SWN. The distinction of hybrid tumors (more precisely HNS) is especially important in SWN forms outside the neurofibromatosis type 2 (NF2) spectrum (NF2-SWN), where major diagnostic criteria are less well defined, making histological differentiation even more significant. At the molecular level, HNS frequently show alterations in the genes NF2 , LZTR1 , and SMARCB1 , often accompanied by characteristic losses of chromosome 22q. In addition,Hybrid neurofibroma/schwannoma tumors (HNS) represent a still underrecognized, yet clinically and diagnostically significant entity within the spectrum of schwannomatosis (SWN). While classical schwannomas have been well known for decades, HNS have only recently been described as a distinct histological pattern, composed of intermixed features typical of both schwannomas and neurofibromas. Differentiating HNS from pure neurofibroma (Nf) is critical, as misclassification may lead to an incorrect diagnosis of neurofibromatosis type 1 rather than SWN. The distinction of hybrid tumors (more precisely HNS) is especially important in SWN forms outside the neurofibromatosis type 2 (NF2) spectrum (NF2-SWN), where major diagnostic criteria are less well defined, making histological differentiation even more significant. At the molecular level, HNS frequently show alterations in the genes NF2 , LZTR1 , and SMARCB1 , often accompanied by characteristic losses of chromosome 22q. In addition, recurrent somatic mutations have been identified in genes such as ERBB2 , RET , KMT2A , and CTNNA3 . Methylation profiling classifies HNS within the schwannoma spectrum, supporting the hypothesis that they may be a morphological variant rather than a distinct entity, although this has not yet been conclusively confirmed. Histologically, HNS are characterized by a combination of mostly schwannoma-associated Antoni A patterns, collagen-rich neurofibroma-like areas, lymphocytic infiltrates, and, in some cases, plexiform growth. Given the diagnostic challenges, artificial intelligence-based image analysis, such as whole-slide imaging and radiomics, may offer valuable tools for more accurate identification of these tumors in the future. Initial studies in related fields have shown that such approaches can even surpass human-level accuracy. Nevertheless, an accurate histological and, if necessary, molecular evaluation remains essential—particularly for the correct classification as SWN and for ensuring appropriate genetic counseling to affected individuals.show moreshow less

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Metadaten
Author:Daniel Tippner, Maxim Anokhin, Jonas Scheffler, Fabio HellmannORCiDGND, Stefan K. Plontke, Sandra Leisz, Anja HarderORCiD
URN:urn:nbn:de:bvb:384-opus4-1268122
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/126812
ISSN:1573-7292OPAC
Parent Title (English):Familial Cancer
Publisher:Springer
Place of publication:Dordrecht
Type:Article
Language:English
Date of first Publication:2025/11/17
Publishing Institution:Universität Augsburg
Release Date:2025/12/08
Tag:ERBB2; Hybrid; Hybrid neurofibroma/schwannoma; LZTR1; Molecular profiling; NF2; Neurofibromatosis; Peripheral nerve sheath tumour; SMARCB1; SWN; Schwannoma; Schwannomatosis
Volume:24
Issue:4
First Page:83
DOI:https://doi.org/10.1007/s10689-025-00505-4
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung