TY  - JOUR
A1  - Bohnenberger, Hanibal
A1  - Kaderali, Lars
A1  - Ströbel, Philipp
A1  - Yepes, Diego
A1  - Plessmann, Uwe
A1  - Dharia, Neekesh V.
A1  - Yao, Sha
A1  - Heydt, Carina
A1  - Merkelbach-Bruse, Sabine
A1  - Emmert, Alexander
A1  - Hoffmann, Jonatan
A1  - Bodemeyer, Julius
A1  - Reuter-Jessen, Kirsten
A1  - Lois, Anna-Maria
A1  - Dröge, Leif Hendrik
A1  - Baumeister, Philipp
A1  - Walz, Christoph
A1  - Biggemann, Lorenz
A1  - Walter, Roland
A1  - Häupl, Björn
A1  - Comoglio, Federico
A1  - Pan, Kuan-Ting
A1  - Scheich, Sebastian
A1  - Lenz, Christof
A1  - Küffer, Stefan
A1  - Bremmer, Felix
A1  - Kitz, Julia
A1  - Sitte, Maren
A1  - Beißbarth, Tim
A1  - Hinterthaner, Marc
A1  - Sebastian, Martin
A1  - Lotz, Joachim
A1  - Lotz, Joachim
A1  - Wolff, Hendrik Andreas
A1  - Danner, Bernhard Christoph
A1  - Brandts, Christian Hubertus
A1  - Büttner, Reinhard
A1  - Canis, Martin
A1  - Stegmaier, Kimberly
A1  - Serve, Hubert
A1  - Urlaub, Henning
A1  - Oellerich, Thomas
T1  - Comparative proteomics reveals a diagnostic signature for pulmonary head‐and‐neck cancer metastasis
T2  - EMBO molecular medicine
N2  - Patients with head‐and‐neck cancer can develop both lung metastasis and primary lung cancer during the course of their disease. Despite the clinical importance of discrimination, reliable diagnostic biomarkers are still lacking. Here, we have characterised a cohort of squamous cell lung (SQCLC) and head‐and‐neck (HNSCC) carcinomas by quantitative proteomics. In a training cohort, we quantified 4,957 proteins in 44 SQCLC and 30 HNSCC tumours. A total of 518 proteins were found to be differentially expressed between SQCLC and HNSCC, and some of these were identified as genetic dependencies in either of the two tumour types. Using supervised machine learning, we inferred a proteomic signature for the classification of squamous cell carcinomas as either SQCLC or HNSCC, with diagnostic accuracies of 90.5% and 86.8% in cross‐ and independent validations, respectively. Furthermore, application of this signature to a cohort of pulmonary squamous cell carcinomas of unknown origin leads to a significant prognostic separation. This study not only provides a diagnostic proteomic signature for classification of secondary lung tumours in HNSCC patients, but also represents a proteomic resource for HNSCC and SQCLC.
KW  - Biomarker
KW  - head-and-neck cancer
KW  - lung cancer
KW  - metastasis
KW  - proteomics
Y1  - 2018
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/47906
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-479068
SN  - 1757-4684
SN  - 1715-4684
SN  - 1757-4676
N1  - © 2018 The Authors. Published under the terms of the CC BY 4.0 license
VL  - 10
IS  - 9, e8428
SP  - 1
EP  - 15
PB  - Wiley-VCH ; MBO Press
CY  - Weinheim ; Heidelberg
ER  -