%0 Journal Article
%A Koelsche, Christian
%A Schrimpf, Daniel
%A Stichel, Damian
%A Sill, Martin
%A Sahm, Felix
%A Reuss, David E
%A Blattner, Mirjam
%A Worst, Barbara
%A Heilig, Christoph E
%A Beck, Katja
%A Horak, Peter
%A Kreutzfeldt, Simon
%A Paff, Elke
%A Stark, Sebastian
%A Johann, Pascal
%A Selt, Florian
%A Ecker, Jonas
%A Sturm, Dominik
%A Pajtler, Kristian W
%A Reinhardt, Annekathrin
%A Wefers, Annika K
%A Sievers, Philipp
%A Ebrahimi, Azadeh
%A Suwala, Abigail
%A Fernandez-Klett, Francisco
%A Casalini, Belen
%A Korshunov, Andrey
%A Hovestadt, Volker
%A Kommoss, Felix K F
%A Kriegsmann, Mark
%A Schick, Matthias
%A Bewerunge-Hudler, Melanie
%A Milde, Till
%A Witt, Olaf
%A Kulozik, Andreas E
%A Kool, Marcel
%A Romero-Perez, Laura
%A Grünewald, Thomas G P
%A Kirchner, Thomas
%A Wick, Wolfgang
%A Platten, Michael
%A Unterberg, Andreas
%A Uhl, Matthias
%A Abdollahi, Amir
%A Debus, Jürgen
%A Lehner, Burkhard
%A Thomas, Christian
%A Hasselblatt, Martin
%A Paulus, Werner
%A Hartmann, Christian
%A Staszewski, Ori
%A Prinz, Marco
%A Hench, Jürgen
%A Frank, Stephan
%A Versleijen-Jonkers, Yvonne M H
%A Weidema, Marije E
%A Mentzel, Thomas
%A Griewank, Klaus
%A de Alava, Enrique
%A Martin, Juan Diaz
%A Gastearena, Miguel A Idoate
%A Chang, Kenneth Tou-En
%A Low, Sharon Yin Yee
%A Cuevas-Bourdier, Adrian
%A Mittelbronn, Michel
%A Mynarek, Martin
%A Rutkowski, Stefan
%A Schüller, Ulrich
%A Mautner, Viktor F
%A Schittenhelm, Jens
%A Serrano, Jonathan
%A Snuderl, Matija
%A Büttner, Reinhard
%A Klingebiel, Thomas
%A Buslei, Rolf
%A Gessler, Manfred
%A Wesseling, Pieter
%A Dinjens, Winand N M
%A Brandner, Sebastian
%A Jaunmuktane, Zane
%A Lyskjær, Iben
%A Schirmacher, Peter
%A Stenzinger, Albrecht
%A Brors, Benedikt
%A Glimm, Hanno
%A Heining, Christoph
%A Tirado, Oscar M
%A Sainz-Jaspeado, Miguel
%A Mora, Jaume
%A Alonso, Javier
%A Del Muro, Xavier Garcia
%A Moran, Sebastian
%A Esteller, Manel
%A Benhamida, Jamal K
%A Ladanyi, Marc
%A Wardelmann, Eva
%A Antonescu, Cristina
%A Flanagan, Adrienne
%A Dirksen, Uta
%A Hohenberger, Peter
%A Baumhoer, Daniel
%A Hartmann, Wolfgang
%A Vokuhl, Christian
%A Flucke, Uta
%A Petersen, Iver
%A Mechtersheimer, Gunhild
%A Capper, David
%A Jones, David T W
%A Fröhling, Stefan
%A Pfister, Stefan M
%A von Deimling, Andreas
%T Sarcoma classification by DNA methylation profiling.
%D 2021
%U http://hdl.handle.net/10668/17019
%X Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They represent a morphologically heterogeneous class of tumours and some entities lack defining histopathological features. Therefore, the diagnosis of sarcomas is burdened with a high inter-observer variability and misclassification rate. Here, we demonstrate classification of soft tissue and bone tumours using a machine learning classifier algorithm based on array-generated DNA methylation data. This sarcoma classifier is trained using a dataset of 1077 methylation profiles from comprehensively pre-characterized cases comprising 62 tumour methylation classes constituting a broad range of soft tissue and bone sarcoma subtypes across the entire age spectrum. The performance is validated in a cohort of 428 sarcomatous tumours, of which 322 cases were classified by the sarcoma classifier. Our results demonstrate the potential of the DNA methylation-based sarcoma classification for research and future diagnostic applications.
%K Bone Neoplasms
%K Reproducibility of Results
%K Sensitivity and Specificity
%K Soft Tissue Neoplasms
%~