Bibliographic Details
| 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 |
