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

PW Wallace; C Conrad; S Brückmann; Y Pang; E Caleiras; M Murakami; Esther Korpershoek; Z Zhuang; E Rapizzi; M Kroiss; V Gudziol; HJ Timmers; M Mannelli; J Pietzsch; F Beuschlein; K Pacak; M Robledo; B van Klink; M Peitzsch; AJ Gill; AS Tischler; RR de Krijger; T Papathomas; D Aust; G Eisenhofer; S Richter

doi:10.1002/path.5472

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

PW Wallace, C Conrad, S Brückmann, Y Pang, E Caleiras, M Murakami, Esther Korpershoek, Z Zhuang, E Rapizzi, M Kroiss, V Gudziol, HJ Timmers, M Mannelli, J Pietzsch, F Beuschlein, K Pacak, M Robledo, B van Klink, M Peitzsch, AJ GillAS Tischler, RR de Krijger, T Papathomas, D Aust, G Eisenhofer, S Richter

Pathology

Research output: Contribution to journal › Article › Academic › peer-review

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Original language	English
Pages (from-to)	378-387
Number of pages	10
Journal	Journal of Pathology
Volume	251
Issue number	4
DOIs	https://doi.org/10.1002/path.5472
Publication status	Published - 2020

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EMC MM-03-24-01

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10.1002/path.5472

Repub_130950_O-A.pdfFinal published version, 286 KB

http://hdl.handle.net/1765/130950

Cite this

Wallace, PW., Conrad, C., Brückmann, S., Pang, Y., Caleiras, E., Murakami, M., Korpershoek, E., Zhuang, Z., Rapizzi, E., Kroiss, M., Gudziol, V., Timmers, HJ., Mannelli, M., Pietzsch, J., Beuschlein, F., Pacak, K., Robledo, M., van Klink, B., Peitzsch, M., ... Richter, S. (2020). Metabolomics, machine learning and immunohistochemistry to predict succinate dehydrogenase mutational status in phaeochromocytomas and paragangliomas. Journal of Pathology, 251(4), 378-387. https://doi.org/10.1002/path.5472

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

author = "PW Wallace and C Conrad and S Br{\"u}ckmann and Y Pang and E Caleiras and M Murakami and Esther Korpershoek and Z Zhuang and E Rapizzi and M Kroiss and V Gudziol and HJ Timmers and M Mannelli and J Pietzsch and F Beuschlein and K Pacak and M Robledo and {van Klink}, B and M Peitzsch and AJ Gill and AS Tischler and {de Krijger}, RR and T Papathomas and D Aust and G Eisenhofer and S Richter",

year = "2020",

doi = "10.1002/path.5472",

language = "English",

volume = "251",

pages = "378--387",

journal = "Journal of Pathology",

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Wallace, PW, Conrad, C, Brückmann, S, Pang, Y, Caleiras, E, Murakami, M, Korpershoek, E, Zhuang, Z, Rapizzi, E, Kroiss, M, Gudziol, V, Timmers, HJ, Mannelli, M, Pietzsch, J, Beuschlein, F, Pacak, K, Robledo, M, van Klink, B, Peitzsch, M, Gill, AJ, Tischler, AS, de Krijger, RR, Papathomas, T, Aust, D, Eisenhofer, G & Richter, S 2020, 'Metabolomics, machine learning and immunohistochemistry to predict succinate dehydrogenase mutational status in phaeochromocytomas and paragangliomas', Journal of Pathology, vol. 251, no. 4, pp. 378-387. https://doi.org/10.1002/path.5472

TY - JOUR

T1 - Metabolomics, machine learning and immunohistochemistry to predict succinate dehydrogenase mutational status in phaeochromocytomas and paragangliomas

AU - Wallace, PW

AU - Conrad, C

AU - Brückmann, S

AU - Pang, Y

AU - Caleiras, E

AU - Murakami, M

AU - Korpershoek, Esther

AU - Zhuang, Z

AU - Rapizzi, E

AU - Kroiss, M

AU - Gudziol, V

AU - Timmers, HJ

AU - Mannelli, M

AU - Pietzsch, J

AU - Beuschlein, F

AU - Pacak, K

AU - Robledo, M

AU - van Klink, B

AU - Peitzsch, M

AU - Gill, AJ

AU - Tischler, AS

AU - de Krijger, RR

AU - Papathomas, T

AU - Aust, D

AU - Eisenhofer, G

AU - Richter, S

PY - 2020

Y1 - 2020

U2 - 10.1002/path.5472

DO - 10.1002/path.5472

M3 - Article

C2 - 32462735

SN - 0022-3417

VL - 251

SP - 378

EP - 387

JO - Journal of Pathology

JF - Journal of Pathology

IS - 4

ER -