Bohnenberger, Hanibal and Kaderali, Lars and Stroebel, Philipp and Yepes, Diego and Plessmann, Uwe and Dharia, Neekesh V. and Yao, Sha and Heydt, Carina and Merkelbach-Bruse, Sabine and Emmert, Alexander and Hoffmann, Jonatan and Bodemeyer, Julius and Reuter-Jessen, Kirsten and Lois, Anna-Maria and Droege, Leif Hendrik and Baumeister, Philipp and Walz, Christoph and Biggemann, Lorenz and Walter, Roland and Haeupl, Bjoern and Comoglio, Federico and Pan, Kuan-Ting and Scheich, Sebastian and Lenz, Christof and Kueffer, Stefan and Bremmer, Felix and Kitz, Julia and Sitte, Maren and Beissbarth, Tim and Hinterthaner, Marc and Sebastian, Martin and Lotz, Joachim and Schildhaus, Hans-Ulrich and Wolff, Hendrik and Danner, Bernhard C. and Brandts, Christian and Buettner, Reinhard and Canis, Martin and Stegmaier, Kimberly and Serve, Hubert and Urlaub, Henning and Oellerich, Thomas (2018) Comparative proteomics reveals a diagnostic signature for pulmonary head-and-neck cancermetastasis. EMBO MOLECULAR MEDICINE, 10 (9): e8428. ISSN 1757-4676, 1757-4684
Full text not available from this repository. (Request a copy)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 SQCLCor 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 prognosticseparation. This study not only provides a diagnostic proteomicsignature for classification of secondary lung tumours in HNSCC patients, but also represents a proteomic resource for HNSCC andSQCLC.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | SQUAMOUS-CELL CARCINOMA; COMPREHENSIVE GENOMIC CHARACTERIZATION; DISTANT METASTASES; LUNG-CANCER; DIFFERENTIAL-DIAGNOSIS; TUMORS; CISPLATIN; RISK; Biomarker; head-and-neck cancer; lung cancer; metastasis; proteomics |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Strahlentherapie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 09 Jan 2020 12:18 |
| Last Modified: | 09 Jan 2020 12:18 |
| URI: | https://pred.uni-regensburg.de/id/eprint/13954 |
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