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  Comparative proteomics reveals a diagnostic signature for pulmonary head-and-neck cancer metastasis.

Bohnenberger, H., Kaderali, L., Ströbel, P., Yepes, D., Pleßmann, U., Dharia, N. Y., et al. (2018). Comparative proteomics reveals a diagnostic signature for pulmonary head-and-neck cancer metastasis. EMBO Molecular Medicine, 10(9): e8428. doi:10.15252/emmm.201708428.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-EC10-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-37F5-B
Genre: Journal Article

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 Creators:
Bohnenberger, H., Author
Kaderali, L., Author
Ströbel, P., Author
Yepes, D., Author
Pleßmann, U.1, Author              
Dharia, N. Y., Author
Yao, S., Author
Heydt, C., Author
Merkelbach‐Bruse, S., Author
Emmert, A., Author
Hoffmann, J., Author
Bodemeyer, J., Author
Reuter‐Jessen, K., Author
Lois, A. M., Author
Dröge, L. H., Author
Baumeister, P., Author
Walz, C., Author
Biggemann, L., Author
Walter, R., Author
Häupl, B., Author
Comoglio, F., AuthorPan, K. T.1, Author              Scheich, S., AuthorLenz, C., AuthorKüffer, S., AuthorBremmer, F., AuthorKitz, J., AuthorSitte, M., AuthorBeißbarth, T., AuthorHinterthaner, M., AuthorSebastian, M., AuthorLotz, J., AuthorSchildhaus, H. U., AuthorWolff, H., AuthorDanner, B. C, AuthorBrandts, C., AuthorBüttner, R., AuthorCanis, M., AuthorStegmaier, K., AuthorServe, H., AuthorUrlaub, H.1, Author              Oellerich, T., Author more..
Affiliations:
1Research Group of Bioanalytical Mass Spectrometry, MPI for biophysical chemistry, Max Planck Society, ou_578613              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2018-08-102018-09-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.15252/emmm.201708428
 Degree: -

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Title: EMBO Molecular Medicine
Source Genre: Journal
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Pages: 15 Volume / Issue: 10 (9) Sequence Number: e8428 Start / End Page: - Identifier: -