Aquaporin-4 and MicroRNA Expression in Meningiomas: A Tissue-Level Exploratory Analysis
BIOMEDICINES, cilt.14, sa.1125, ss.1-11, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 14 Sayı: 1125
- Basım Tarihi: 2026
- Doi Numarası: 10.3390/biomedicines14051125
- Dergi Adı: BIOMEDICINES
- Derginin Tarandığı İndeksler: Scopus, Science Citation Index Expanded (SCI-EXPANDED), BIOSIS, Directory of Open Access Journals
- Sayfa Sayıları: ss.1-11
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Eskişehir Osmangazi Üniversitesi Adresli: Evet
Özet
Background: Meningiomas exhibit considerable biological heterogeneity that is not fully
captured by histopathological grading. Tissue-based molecular markers may provide
complementary insight into tumor biology within routine diagnostic settings. Methods:
Formalin-fixed paraffin-embedded tissue samples from 65 intracranial meningiomas and
13 non-neoplastic controls were analyzed. Aquaporin-4 (AQP4) expression was assessed
using immunohistochemistry, while miR-216a, miR-320a, and LINC00461 levels were
quantified by means of RT-qPCR. Expression patterns were compared across groups and
evaluated in relation to histological grade. Results: AQP4 expression was significantly
reduced in meningiomas compared with controls and showed a further decrease in highergrade
tumors. Although expression of miR-216a and miR-320a was also lower in tumor
samples, these differences did not reach statistical significance. Correlation analysis revealed
modest but significant associations between AQP4 and miR-216a, as well as between
miR-216a and miR-320a. Individual markers demonstrated limited discriminatory performance;
however, combined expression patterns suggested underlying molecular variability
across tumor grades. Conclusions: Our findings indicate that AQP4 downregulation represents
a consistent feature in meningiomas, while associated microRNA alterations may
reflect coordinated but context-dependent expression patterns. Although these markers
are not sufficient as standalone diagnostic tools, their combined tissue-level assessment
may provide complementary information on tumor heterogeneity. These findings should
be interpreted as exploratory and highlight the need for further validation in larger and
mechanistic studies.