Molecular Classification of Ependymal Tumors across All CNS Compartments, Histopathological Grades, and Age Groups.
By K. Pajtler, H. Witt, M. Sill, David T. W. Jones, V. Hovestadt, Fabian Kratochwil, K. Wani, R. Tatevossian, C. Punchihewa, P. Johann and 46 more. Cancer Cell, 2015
1,015 citations recorded by the source corpus.
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.
Subfields: Cancer Research, Genetics, Pulmonary and Respiratory Medicine
View Paper: https://www.semanticscholar.org/paper/aa1f3834f4142c1dd36e5a7f581966920958d293
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Citations in the corpus
- Hippo Pathway in Organ Size Control, Tissue Homeostasis, and Cancer. (2015, positive): “In addition, YAP gene fusions with MAMLD1 or C11orf95 have been discovered in a subset of ependymal tumors (Pajtler et al., 2015; Parker et al., 2014).”
- New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs (2016, neutral): “…molecular aberrations in high-grade pediatric CNS tumors (Capper et al., 2010; Chan et al., 2013; Hassel-blatt et al., 2013; Margol and Judkins, 2014; Pajtler et al., 2015; Parker et al., 2014; Schneppenheim et al., 2010; Schwartzen-truber et al., 2012; Venneti et al., 2013; Wu et al., 2012; Yan…”
- DNA methylation-based classification of central nervous system tumours (2018, neutral): “Further data is required to assess if the methylation classes of this category may provide a more robust means of prognostication than histology alone, as has been demonstrated for several other classes 4,9,11 .”
- Glioma Subclassifications and Their Clinical Significance (2017, methodology): “[72] identified2groups, whichhadbeenpreviously identifiedusingclinicalandmolecular criteria byWitt et al.”