Network connectome analysis of multi omics data identifies molecular markers of recurrence and grade progression in meningioma
Our connectome-based multi-omics analysis reveals that meningioma aggressiveness is driven by coordinated molecular interactions rather than single-omic alterations. This systems-level approach provides a compact, data-driven framework for predicting recurrence and grade, supporting precision risk stratification in clinical practice.
Authors
- Jeong-An Gim
- Wonki Yoon
- Woo Keun Kwon
- Hae Won Roh
- Joonho Byun
- Taek Hyun Kwon
- Jong Hyun Kim
- Hyun Jun Jo
- Chang Hwa Ham
Institutions
- Soonchunhyang University (KR)
- Korea University Medical Center (KR)
- Soonchunhyang University Hospital Seoul (KR)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-03-02
- DOI
- https://doi.org/10.3389/fonc.2026.1745505
- Primary Topic
- Meningioma and schwannoma management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Korea University Guro Hospital
- National Research Foundation
- Korea University
- National Research Foundation of Korea