A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification.
微环境决定的风险连续体细化了脑膜瘤的亚型，并揭示了基于机器学习的肿瘤分类的决定因素。
期刊:Nature Genetics
影响因子:29
doi:10.1038/s41588-025-02475-w
Maas Sybren L N, Tang Yiheng, Stutheit-Zhao Eric, Rahmanzade Ramin, Blume Christina, Hielscher Thomas, Zettl Ferdinand, Benfatto Salvatore, Calafato Domenico, Sill Martin, Benotmane Jasim Kada, Yabo Yahaya A, Behling Felix, Suwala Abigail, Kardo Helin, Ritter Michael, Peyre Matthieu, Sankowski Roman, Okonechnikov Konstantin, Sievers Philipp, Patel Areeba, Reuss David, Friedrich Mirco J, Stichel Damian, Schrimpf Daniel, Van den Bosch Thierry P P, Beck Katja, Wirsching Hans-Georg, Jungwirth Gerhard, Hanemann C Oliver, Lamszus Katrin, Etminan Nima, Unterberg Andreas, Mawrin Christian, Remke Marc, Ayrault Olivier, Lichter Peter, Reifenberger Guido, Platten Michael, Kacprowski Tim, List Markus, Pauling Josch K, Baumbach Jan, Milde Till, Grossmann Rachel, Ram Zvi, Ratliff Miriam, Mallm Jan-Philipp, Neidert Marian C, Bos Eelke M, Prinz Marco, Weller Michael, Acker Till, Hartmann Felix J, Preusser Matthias, Tabatabai Ghazaleh, Herold-Mende Christel, Krieg Sandro M, Jones David T W, Pfister Stefan M, Wick Wolfgang, Kalamarides Michel, von Deimling Andreas, Heiland Dieter Henrik, Hovestadt Volker, Gerstung Moritz, Schlesner Matthias, Sahm Felix
