Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-7251
Authors: Ridder, Dirk Andreas
Urbansky, Lana Louisa
Witzel, Hagen Roland
Schindeldecker, Mario
Weinmann, Arndt
Berndt, Kristina
Gerber, Tiemo Sven
Köhler, Bruno Christian
Nichetti, Federico
Ludt, Annekathrin
Gehrke, Nadine
Schattenberg, Jörn Markus
Heinrich, Stefan
Roth, Wilfried
Straub, Beate Katharina
Title: Transforming growth factor-β activated kinase 1 (Tak1) is activated in hepatocellular carcinoma, mediates tumor progression, and predicts unfavorable outcome
Online publication date: 13-Jan-2023
Year of first publication: 2022
Language: english
Abstract: Although knowledge on inflammatory signaling pathways driving cancer initiation and progression has been increasing, molecular mechanisms in hepatocarcinogenesis are still far from being completely understood. Hepatocyte-specific deletion of the MAPKKK Tak1 in mice recapitulates important steps of hepatocellular carcinoma (HCC) development, including the occurrence of cell death, steatohepatitis, dysplastic nodules, and HCCs. However, overactivation of Tak1 in mice upon deletion of its deubiquitinase Cyld also results in steatohepatitis and HCC development. To investigate Tak1 and Cyld in human HCCs, we created a tissue microarray to analyze their expression by immunohistochemistry in a large and well-characterized cohort of 871 HCCs of 561 patients. In the human liver and HCC, Tak1 is predominantly present as its isoform Tak1A and predominantly localizes to cell nuclei. Tak1 is upregulated in diethylnitrosamine-induced mouse HCCs as well as in human HCCs independent of etiology and is further induced in distant metastases. A high nuclear Tak1 expression is associated with short survival and vascular invasion. When we overexpressed Tak1A in Huh7 cells, we observed increased tumor cell migration, whereas overexpression of full-length Tak1 had no significant effect. A combined score of low Cyld and high Tak1 expression was an independent prognostic marker in a multivariate Cox regression model.
DDC: 610 Medizin
610 Medical sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 04 Medizin
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-7251
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Cancers
14
2
Pages or article number: 430
Publisher: MDPI
Publisher place: Basel
Issue date: 2022
ISSN: 2072-6694
Publisher DOI: 10.3390/cancers14020430
Appears in collections:DFG-491381577-G

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