A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification
Maas SLN, Tang Y, Stutheit-Zhao E, Rahmanzade R, Blume C, Hielscher T, Zettl F, Benfatto S, Calafato D, Sill M, Benotmane JK, Yabo YA, Behling F, Suwala A, Kardo H, Ritter M, Peyre M, Sankowski R, Okonechnikov K, Sievers P, Patel A, Reuss D, Friedrich MJ, Stichel D, Schrimpf D, Van den Bosch TPP, Beck K, Wirsching HG, Jungwirth G, Hanemann CO, Lamszus K, Etminan N, Unterberg A, Mawrin C, Remke M, Ayrault O, Lichter P, Reifenberger G, Platten M, Kacprowski T, List M, Pauling JK, Baumbach J, Milde T, Grossmann R, Ram Z, Ratliff M, Mallm JP, Neidert MC, Bos EM, Prinz M, Weller M, Acker T, Hartmann FJ, Preusser M, Tabatabai G, Herold-Mende C, Krieg SM, Jones DTW, Pfister SM, Wick W, Kalamarides M, von Deimling A, Heiland DH, Hovestadt V, Gerstung M, Schlesner M; German “Aggressive Meningiomas” Consortium (KAM); Sahm F.
Nat Genet. 2026; doi: 10.1038/s41588-025-02475-w.
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