Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome.
H. N. Thirimanne, D. A. Bonnin, N. Nuechterlein, S. Arora, M. Jensen, C. A. Parada, C. Qiu, F. Szulzewsky, C. W. English, W. C. Chen, P. Sievers, F. Nassiri, J. Z. Wang, T. J. Klisch, K. D. Aldape, , E. C. Holland
This study combines bulk RNA-Seq datasets to create a transcriptomic landscape of meningiomas, identifies subtypes with distinct biology and prognosis, and provides an interactive tool for outcome prediction.
bioRxiv · Feb 23, 2024Cancer Biology