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Meningioma classification by immunohistochemistry: A replicability study

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Title: Meningioma classification by immunohistochemistry: A replicability study
Authors: Olivia Näslund, Anna Lipatnikova, Anna Dénes, Cecilia Lindskog, Thomas Olsson Bontell, Anja Smits, Asgeir S. Jakola, Alba Corell
Source: Brain and Spine, Vol 3, Iss , Pp 101711- (2023)
Publisher Information: Elsevier, 2023.
Publication Year: 2023
Collection: LCC:Neurology. Diseases of the nervous system
Subject Terms: Meningioma, Molecular marker, Recurrence, Immunohistochemistry, Neurology. Diseases of the nervous system, RC346-429
More Details: Introduction: Meningiomas account for nearly 40% of intracranial tumors. Recently, the immunohistochemistry (IHC) markers S100B, SCGN, ACADL and MCM2 have been shown to be associated with underlying biological subtypes of meningioma (MG1-MG4). We aimed to evaluate these IHC markers in a clinical setting. Research question: Are the new proposed IHC markers clinically useful? Methods: In total, 244 patients with meningiomas with tissue in TMAs were included and the IHC markers S100B, SCGN, ACADL and MCM2 were analyzed. Two sets of analyses were performed; the first included all samples with any staining considered positive, the second only samples with >10% immunopositivity. PFS and OS were analyzed in correlation to immunopositivity in the second analysis set. Results: In the first set of analyses only 26.2% of samples could be to allocate to one group. No further analyses were performed with this selection. In the second set of analyses 52.0% could be allocated to a group. There was an enrichment of WHO grade 2 and 3 tumors in MG3 and MG4 as compared to MG1 (24.1% and 25.7% vs. 12.1%). Both the molecular group (p ​= ​0.032) and WHO grade (p ​= ​0.005) had significant impact on PFS, but only WHO grade predicted OS (p ​= ​0.033). Conclusion: We studied the proposed new method of classifying meningiomas into groups MG1, MG2, MG3 and MG4 using IHC markers, but found difficulties applying the classification system in our material mainly due to lack of exclusivity of markers. Thus, in its present form the classification method lacks clinical applicability.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2772-5294
Relation: http://www.sciencedirect.com/science/article/pii/S2772529422008529; https://doaj.org/toc/2772-5294
DOI: 10.1016/j.bas.2022.101711
Access URL: https://doaj.org/article/3526948f62164cc3891252fd2ef9d639
Accession Number: edsdoj.3526948f62164cc3891252fd2ef9d639
Database: Directory of Open Access Journals
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  Data: Brain and Spine, Vol 3, Iss , Pp 101711- (2023)
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  Data: Introduction: Meningiomas account for nearly 40% of intracranial tumors. Recently, the immunohistochemistry (IHC) markers S100B, SCGN, ACADL and MCM2 have been shown to be associated with underlying biological subtypes of meningioma (MG1-MG4). We aimed to evaluate these IHC markers in a clinical setting. Research question: Are the new proposed IHC markers clinically useful? Methods: In total, 244 patients with meningiomas with tissue in TMAs were included and the IHC markers S100B, SCGN, ACADL and MCM2 were analyzed. Two sets of analyses were performed; the first included all samples with any staining considered positive, the second only samples with >10% immunopositivity. PFS and OS were analyzed in correlation to immunopositivity in the second analysis set. Results: In the first set of analyses only 26.2% of samples could be to allocate to one group. No further analyses were performed with this selection. In the second set of analyses 52.0% could be allocated to a group. There was an enrichment of WHO grade 2 and 3 tumors in MG3 and MG4 as compared to MG1 (24.1% and 25.7% vs. 12.1%). Both the molecular group (p ​= ​0.032) and WHO grade (p ​= ​0.005) had significant impact on PFS, but only WHO grade predicted OS (p ​= ​0.033). Conclusion: We studied the proposed new method of classifying meningiomas into groups MG1, MG2, MG3 and MG4 using IHC markers, but found difficulties applying the classification system in our material mainly due to lack of exclusivity of markers. Thus, in its present form the classification method lacks clinical applicability.
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