RT Journal Article
T1 Sarcoma classification by DNA methylation profiling.
A1 Koelsche, Christian
A1 Schrimpf, Daniel
A1 Stichel, Damian
A1 Sill, Martin
A1 Sahm, Felix
A1 Reuss, David E
A1 Blattner, Mirjam
A1 Worst, Barbara
A1 Heilig, Christoph E
A1 Beck, Katja
A1 Horak, Peter
A1 Kreutzfeldt, Simon
A1 Paff, Elke
A1 Stark, Sebastian
A1 Johann, Pascal
A1 Selt, Florian
A1 Ecker, Jonas
A1 Sturm, Dominik
A1 Pajtler, Kristian W
A1 Reinhardt, Annekathrin
A1 Wefers, Annika K
A1 Sievers, Philipp
A1 Ebrahimi, Azadeh
A1 Suwala, Abigail
A1 Fernandez-Klett, Francisco
A1 Casalini, Belen
A1 Korshunov, Andrey
A1 Hovestadt, Volker
A1 Kommoss, Felix K F
A1 Kriegsmann, Mark
A1 Schick, Matthias
A1 Bewerunge-Hudler, Melanie
A1 Milde, Till
A1 Witt, Olaf
A1 Kulozik, Andreas E
A1 Kool, Marcel
A1 Romero-Perez, Laura
A1 Grünewald, Thomas G P
A1 Kirchner, Thomas
A1 Wick, Wolfgang
A1 Platten, Michael
A1 Unterberg, Andreas
A1 Uhl, Matthias
A1 Abdollahi, Amir
A1 Debus, Jürgen
A1 Lehner, Burkhard
A1 Thomas, Christian
A1 Hasselblatt, Martin
A1 Paulus, Werner
A1 Hartmann, Christian
A1 Staszewski, Ori
A1 Prinz, Marco
A1 Hench, Jürgen
A1 Frank, Stephan
A1 Versleijen-Jonkers, Yvonne M H
A1 Weidema, Marije E
A1 Mentzel, Thomas
A1 Griewank, Klaus
A1 de Alava, Enrique
A1 Martin, Juan Diaz
A1 Gastearena, Miguel A Idoate
A1 Chang, Kenneth Tou-En
A1 Low, Sharon Yin Yee
A1 Cuevas-Bourdier, Adrian
A1 Mittelbronn, Michel
A1 Mynarek, Martin
A1 Rutkowski, Stefan
A1 Schüller, Ulrich
A1 Mautner, Viktor F
A1 Schittenhelm, Jens
A1 Serrano, Jonathan
A1 Snuderl, Matija
A1 Büttner, Reinhard
A1 Klingebiel, Thomas
A1 Buslei, Rolf
A1 Gessler, Manfred
A1 Wesseling, Pieter
A1 Dinjens, Winand N M
A1 Brandner, Sebastian
A1 Jaunmuktane, Zane
A1 Lyskjær, Iben
A1 Schirmacher, Peter
A1 Stenzinger, Albrecht
A1 Brors, Benedikt
A1 Glimm, Hanno
A1 Heining, Christoph
A1 Tirado, Oscar M
A1 Sainz-Jaspeado, Miguel
A1 Mora, Jaume
A1 Alonso, Javier
A1 Del Muro, Xavier Garcia
A1 Moran, Sebastian
A1 Esteller, Manel
A1 Benhamida, Jamal K
A1 Ladanyi, Marc
A1 Wardelmann, Eva
A1 Antonescu, Cristina
A1 Flanagan, Adrienne
A1 Dirksen, Uta
A1 Hohenberger, Peter
A1 Baumhoer, Daniel
A1 Hartmann, Wolfgang
A1 Vokuhl, Christian
A1 Flucke, Uta
A1 Petersen, Iver
A1 Mechtersheimer, Gunhild
A1 Capper, David
A1 Jones, David T W
A1 Fröhling, Stefan
A1 Pfister, Stefan M
A1 von Deimling, Andreas
K1 Bone Neoplasms
K1 Reproducibility of Results
K1 Sensitivity and Specificity
K1 Soft Tissue Neoplasms
AB 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.
PB Nature Publishing Group
YR 2021
FD 2021-01-21
LK http://hdl.handle.net/10668/17019
UL http://hdl.handle.net/10668/17019
LA en
NO Koelsche C, Schrimpf D, Stichel D, Sill M, Sahm F, Reuss DE, et al. Sarcoma classification by DNA methylation profiling. Nat Commun. 2021 Jan 21;12(1):498
NO This work was funded by Deutsche Krebshilfe grant 70112499, the NCT  Heidelberg and an Illumina Medical Research Grant. Part of this work was funded by the National Institute of Health Research (to S.B. and Z.J.) and to UCLH Biomedical research centre (BRC399/NS/RB/101410). Human tissues were obtained from University College London NHS Foundation Trust as part of the UK Brain Archive Information Network (BRAIN UK, Ref: 18/004) which is funded by the Medical Research Council and Brain Tumour Research UK. The methylation profiling at NYU is supported by a grant from the Friedberg Charitable Foundation (to M.Sn.). M.Mi. would like to thank the Luxembourg National Research Fond (FNR) for the support (FNR PEARL P16/BM/11192868 grant).
DS RISalud
RD Apr 16, 2025