Pajtler Kristian W, Witt Hendrik, Sill Martin, Jones David T W, Hovestadt Volker, Kratochwil Fabian, Wani Khalida, Tatevossian Ruth, Punchihewa Chandanamali, Johann Pascal, Reimand Jüri, Warnatz Hans-Jörg, Ryzhova Marina, Mack Steve, Ramaswamy Vijay, Capper David, Schweizer Leonille, Sieber Laura, Wittmann Andrea, Huang Zhiqin, van Sluis Peter, Volckmann Richard, Koster Jan, Versteeg Rogier, Fults Daniel, Toledano Helen, Avigad Smadar, Hoffman Lindsey M, Donson Andrew M, Foreman Nicholas, Hewer Ekkehard, Zitterbart Karel, Gilbert Mark, Armstrong Terri S, Gupta Nalin, Allen Jeffrey C, Karajannis Matthias A, Zagzag David, Hasselblatt Martin, Kulozik Andreas E, Witt Olaf, Collins V Peter, von Hoff Katja, Rutkowski Stefan, Pietsch Torsten, Bader Gary, Yaspo Marie-Laure, von Deimling Andreas, Lichter Peter, Taylor Michael D, Gilbertson Richard, Ellison David W, Aldape Kenneth, Korshunov Andrey, Kool Marcel, Pfister Stefan M
Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Department of Pediatric Oncology and Hematology, University Children's Hospital Essen, 45147 Essen, Germany.
Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Department of Pediatric Oncology, Hematology and Immunology, University Hospital, 69120 Heidelberg, Germany; German Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Cancer Cell. 2015 May 11;27(5):728-43. doi: 10.1016/j.ccell.2015.04.002.
Ependymal tumors across age groups are currently classified and graded solely by histopathology. It is, however, commonly accepted that this classification scheme has limited clinical utility based on its lack of reproducibility in predicting patients' outcome. We aimed at establishing a uniform molecular classification using DNA methylation profiling. Nine molecular subgroups were identified in a large cohort of 500 tumors, 3 in each anatomical compartment of the CNS, spine, posterior fossa, supratentorial. Two supratentorial subgroups are characterized by prototypic fusion genes involving RELA and YAP1, respectively. Regarding clinical associations, the molecular classification proposed herein outperforms the current histopathological classification and thus might serve as a basis for the next World Health Organization classification of CNS tumors.
目前,各年龄组的室管膜瘤仅通过组织病理学进行分类和分级。然而,基于其在预测患者预后方面缺乏可重复性,人们普遍认为这种分类方案的临床实用性有限。我们旨在通过DNA甲基化分析建立统一的分子分类。在一个由500个肿瘤组成的大型队列中识别出9个分子亚组,中枢神经系统(CNS)、脊柱、后颅窝、幕上各有3个。两个幕上亚组分别以涉及RELA和YAP1的典型融合基因为特征。关于临床关联,本文提出的分子分类优于当前的组织病理学分类,因此可能作为世界卫生组织下一次中枢神经系统肿瘤分类的基础。