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Quantitative proteomics and phosphoproteomics on serial tumor biopsies from a sorafenib-treated HCC patient

Dazert, Eva and Colombi, Marco and Boldanova, Tujana and Moes, Suzette and Adametz, David and Quagliata, Luca and Roth, Volker and Terracciano, Luigi and Heim, Markus H. and Jenoe, Paul and Hall, Michael N.. (2016) Quantitative proteomics and phosphoproteomics on serial tumor biopsies from a sorafenib-treated HCC patient. Proceedings of the National Academy of Sciences of the United States of America, 113 (5). pp. 1381-1386.

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Official URL: http://edoc.unibas.ch/41588/

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Abstract

Compensatory signaling pathways in tumors confer resistance to targeted therapy, but the pathways and their mechanisms of activation remain largely unknown. We describe a procedure for quantitative proteomics and phosphoproteomics on snap-frozen biopsies of hepatocellular carcinoma (HCC) and matched nontumor liver tissue. We applied this procedure to monitor signaling pathways in serial biopsies taken from an HCC patient before and during treatment with the multikinase inhibitor sorafenib. At diagnosis, the patient had an advanced HCC. At the time of the second biopsy, abdominal imaging revealed progressive disease despite sorafenib treatment. Sorafenib was confirmed to inhibit MAPK signaling in the tumor, as measured by reduced ribosomal protein S6 kinase phosphorylation. Hierarchical clustering and enrichment analysis revealed pathways broadly implicated in tumor progression and resistance, such as epithelial-to-mesenchymal transition and cell adhesion pathways. Thus, we describe a protocol for quantitative analysis of oncogenic pathways in HCC biopsies and obtained first insights into the effect of sorafenib in vivo. This protocol will allow elucidation of mechanisms of resistance and enable precision medicine.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Growth & Development > Biochemistry (Hall)
UniBasel Contributors:Hall, Michael N.
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:National Academy of Sciences
ISSN:0027-8424
e-ISSN:1091-6490
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:09 Nov 2017 07:21
Deposited On:08 Sep 2016 07:54

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