Hanibal Bohnenberger, Lars Kaderali, Philipp Ströbel, Diego Yepes, Uwe Plessmann, Neekesh V. Dharia, Sha Yao, Carina Heydt, Sabine Merkelbach-Bruse, Alexander Emmert, Jonatan Hoffmann, Julius Bodemeyer, Kirsten Reuter-Jessen, Anna-Maria Lois, Leif Hendrik Dröge, Philipp Baumeister, Christoph Walz, Lorenz Biggemann, Roland Walter, Björn Häupl, Federico Comoglio, Kuan-Ting Pan, Sebastian Scheich, Christof Lenz, Stefan Küffer, Felix Bremmer, Julia Kitz, Maren Sitte, Tim Beißbarth, Marc Hinterthaner, Martin Sebastian, Joachim Lotz, Joachim Lotz, Hendrik Andreas Wolff, Bernhard Christoph Danner, Christian Hubertus Brandts, Reinhard Büttner, Martin Canis, Kimberly Stegmaier, Hubert Serve, Henning Urlaub, Thomas Oellerich
- 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.
MetadatenAuthor: | Hanibal BohnenbergerORCiD, Lars KaderaliORCiDGND, Philipp Ströbel, Diego Yepes, Uwe Plessmann, Neekesh V. DhariaORCiD, Sha Yao, Carina Heydt, Sabine Merkelbach-BruseORCiDGND, Alexander Emmert, Jonatan Hoffmann, Julius Bodemeyer, Kirsten Reuter-JessenGND, Anna-Maria Lois, Leif Hendrik Dröge, Philipp Baumeister, Christoph Walz, Lorenz Biggemann, Roland Walter, Björn Häupl, Federico ComoglioORCiDGND, Kuan-Ting PanORCiD, Sebastian ScheichORCiD, Christof Lenz, Stefan Küffer, Felix Bremmer, Julia Kitz, Maren Sitte, Tim Beißbarth, Marc Hinterthaner, Martin SebastianORCiDGND, Joachim Lotz, Joachim Lotz, Hendrik Andreas WolffGND, Bernhard Christoph Danner, Christian Hubertus BrandtsORCiDGND, Reinhard BüttnerORCiDGND, Martin Canis, Kimberly Stegmaier, Hubert ServeORCiDGND, Henning UrlaubORCiD, Thomas OellerichORCiD |
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URN: | urn:nbn:de:hebis:30:3-479068 |
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DOI: | https://doi.org/10.15252/emmm.201708428 |
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ISSN: | 1757-4684 |
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ISSN: | 1715-4684 |
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ISSN: | 1757-4676 |
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Pubmed Id: | https://pubmed.ncbi.nlm.nih.gov/30097507 |
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Parent Title (English): | EMBO molecular medicine |
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Publisher: | Wiley-VCH ; MBO Press |
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Place of publication: | Weinheim ; Heidelberg |
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Document Type: | Article |
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Language: | English |
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Year of Completion: | 2018 |
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Date of first Publication: | 2018/08/10 |
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Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Release Date: | 2018/11/01 |
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Tag: | Biomarker; head-and-neck cancer; lung cancer; metastasis; proteomics |
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Volume: | 10 |
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Issue: | 9, e8428 |
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Page Number: | 15 |
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First Page: | 1 |
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Last Page: | 15 |
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Note: | © 2018 The Authors. Published under the terms of the CC BY 4.0 license |
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HeBIS-PPN: | 440093856 |
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Institutes: | Medizin / Medizin |
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Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Sammlungen: | Universitätspublikationen |
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Open-Access-Publikationsfonds: | Medizin |
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Licence (German): | Creative Commons - Namensnennung 4.0 |
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