Metabolomics, machine learning and immunohistochemistry to predict succinate dehydrogenase mutational status in phaeochromocytomas and paragangliomas

Paal W. Wallace(University Hospital Carl Gustav Carus), Susan Richter(University of Auckland), Felix Beuschlein(University of Zurich), Sascha Brückmann(University Hospital Carl Gustav Carus), Catleen Conrad(TU Bergakademie Freiberg), Mirko Peitzsch(University Hospital Carl Gustav Carus), Volker Gudziol(University Hospital Carl Gustav Carus), Esther Korpershoek(Radboud University Nijmegen), Anthony J. Gill(The University of Sydney), Massimo Mannelli(University of Florence), Barbara Klink(German Cancer Research Center), Matthias Kroiß, Eduardo Caleiras(Spanish National Cancer Research Centre), Graeme Eisenhofer(University Hospital Carl Gustav Carus), Henri Timmers(Radboud University Nijmegen), Daniela E. Aust(University Hospital Carl Gustav Carus), Mercedes Robledo(The University of Texas at San Antonio Health Science Center), Ronald R. de Krijger(University Medical Center Utrecht), Thomas Papathomas(NIHR Birmingham Biomedical Research Centre), Karel Pacák(Endocrine Society), Ying Pang(Shanghai East Hospital), Jens Pietzsch(Helmholtz-Zentrum Dresden-Rossendorf), Elena Rapizzi(El.En. Group (Italy)), Masanori Murakami(Tokyo Medical and Dental University), Zhengping Zhuang(National Cancer Institute), Arthur S. Tischler(Tufts Medical Center)
The Journal of Pathology
May 28, 2020
Cited by 42


Related Papers