Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/174293
Title: Sarcoma classification by DNA methylation profiling
Author: Koelsche, Christian
Schrimpf, Daniel
Stichel, Damian
Sill, Martin
Sahm, Felix
Reuss, David E.
Blattner, Mirjam
Worst, Barbara
Heilig, Christoph E.
Beck, Katja
Horak, Peter
Hartmann, Wolfgang
Vokuhl, Christian
Flucke, Uta
Petersen, Iver
Mechtersheimer, Gunhild
Capper, David
Jones, David T. W.
Fröhling, Stefan
Pfister, Stefan M.
Kreutzfeldt, Simon
Paff, Elke
von Deimling, Andreas
Stark, Sebastian
Johann, Pascal
Selt, Florian
Ecker, Jonas
Sturm, Dominik
Pajtler, Kristian W.
Reinhardt, Annekathrin
Wefers, Annika K.
Sievers, Philipp
Suwala, Abigail
Ebrahimi, Azadeh
Fernández Klett, Francisco
Casalini, Belén
Korshunov, Andrey
Hovestadt, Volker
Kommoss, Felix K. F.
Kriegsmann, Mark
Schick, Matthias
Bewerunge-Hudler, Melanie
Milde, Till
Kulozik, Andreas E.
Witt, Olaf
Kool, Marcel
Romero-pérez, Laura
Grünewald, Thomas G. P.
Kirchner, Thomas
Wick, Wolfgang
Platten, Michael
Unterberg, Andreas
Uhl, Matthias
Abdollahi, Amir
Lehner, Burkhard
Debus, Jürgen
Thomas, Christian
Hasselblatt, Martin
Paulus, Werner
Hartmann, Christian
Staszewski, Ori
Prinz, Marco
Hench, Jürgen
Frank, Stephan
Versleijen-Jonkers, Yvonne M. H.
Mentzel, Thomas
Weidema, Marije E.
Griewank, Klaus
Álava, Enrique de
Martín, Juan Díaz
Idoate Gastearena, Miguel A.
Chang, Kenneth Tou-En
Low, Sharon Yin Yee
Cuevas-Bourdier, Adrian
Mittelbronn, Michel
Mynarek, Martin
Schüller, Ulrich
Rutkowski, Stefan
Mautner, Viktor F.
Schittenhelm, Jens
Serrano, Jonathan
Snuderl, Matija
Büttner, Reinhard
Klingebiel, Thomas
Buslei, Rolf
Gessler, Manfred
Wesseling, Pieter
Brandner, Sebastian
Dinjens, Winand N. M.
Jaunmuktane, Zane
Lyskjær, Iben
Schirmacher, Peter
Stenzinger, Albrecht
Brors, Benedikt
Glimm, Hanno
Heining, Christoph
Tirado, Oscar M.
Sáinz Jaspeado, Miguel Guillermo
Alonso, Javier
Mora Salvador, Jaume
García del Muro Solans, Xavier
Moran, Sebastian
Esteller, Manel
Benhamida, Jamal K.
Ladanyi, Marc
Wardelmann, Eva
Antonescu, Cristina
Flanagan, Adrienne
Dirksen, Uta
Baumhoer, Daniel
Hohenberger, Peter
Keywords: Sarcoma
ADN
Sarcoma
DNA
Issue Date: 21-Jan-2021
Publisher: Springer Nature
Abstract: 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.
Note: Reproducció del document publicat a: https://doi.org/10.1038/s41467-020-20603-4
It is part of: Nature Communications, 2021, vol. 12
URI: http://hdl.handle.net/2445/174293
Related resource: https://doi.org/10.1038/s41467-020-20603-4
Appears in Collections:Articles publicats en revistes (Ciències Fisiològiques)
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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