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High Keratin 8/18 Ratio Predicts Aggressive Hepatocellular Cancer Phenotype.
Golob-Schwarzl, Nicole; Bettermann, Kira; Mehta, Anita Kuldeep; Kessler, Sonja M; Unterluggauer, Julia; Krassnig, Stefanie; Kojima, Kensuke; Chen, Xintong; Hoshida, Yujin; Bardeesy, Nabeel M; Müller, Heimo; Svendova, Vendula; Schimek, Michael G; Diwoky, Clemens; Lipfert, Alexandra; Mahajan, Vineet; Stumptner, Cornelia; Thüringer, Andrea; Fröhlich, Leopold F; Stojakovic, Tatjana; Nilsson, K P R; Kolbe, Thomas; Rülicke, Thomas; Magin, Thomas M; Strnad, Pavel; Kiemer, Alexandra K; Moriggl, Richard; Haybaeck, Johannes.
Affiliation
  • Golob-Schwarzl N; Institute of Pathology, Medical University of Graz, Graz, Austria; Center for Biomarker Research in Medicine, Graz, Austria.
  • Bettermann K; Institute of Pathology, Medical University of Graz, Graz, Austria.
  • Mehta AK; Institute of Pathology, Medical University of Graz, Graz, Austria; Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA.
  • Kessler SM; Institute of Pathology, Medical University of Graz, Graz, Austria; Department of Pharmacy, Pharmaceutical Biology, Saarland University, Saarbrücken, Germany.
  • Unterluggauer J; Institute of Pathology, Medical University of Graz, Graz, Austria.
  • Krassnig S; Institute of Pathology, Medical University of Graz, Graz, Austria.
  • Kojima K; Liver Tumor Translational Research Program, University of Texas Southwestern Medical Center, Dallas, USA.
  • Chen X; Liver Tumor Translational Research Program, University of Texas Southwestern Medical Center, Dallas, USA.
  • Hoshida Y; Liver Tumor Translational Research Program, University of Texas Southwestern Medical Center, Dallas, USA.
  • Bardeesy NM; Center for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Müller H; Institute of Pathology, Medical University of Graz, Graz, Austria.
  • Svendova V; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
  • Schimek MG; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
  • Diwoky C; Institute of Medical Engineering, Graz University of Technology, Graz, Austria; Institute of Molecular Biosciences, University of Graz, Graz, Austria.
  • Lipfert A; Institute of Medical Engineering, Graz University of Technology, Graz, Austria.
  • Mahajan V; Institute of Pathology, Medical University of Graz, Graz, Austria.
  • Stumptner C; Institute of Pathology, Medical University of Graz, Graz, Austria.
  • Thüringer A; Institute of Pathology, Medical University of Graz, Graz, Austria.
  • Fröhlich LF; Institute of Pathology, Medical University of Graz, Graz, Austria; AG VABOS, Department of Cranio-Maxillofacial Surgery, Univerity of Muenster, Germany.
  • Stojakovic T; Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
  • Nilsson KPR; Department of Chemistry, Linköping University, Linköping, Sweden.
  • Kolbe T; Biomodels Austria (Biat), University of Veterinary Medicine Vienna, Vienna, Austria; Department IFA-Tulln, University for Natural Resources and Applied Life Sciences Vienna, Vienna, Austria.
  • Rülicke T; Institute of Laboratory Animal Science, University of Veterinary Medicine Vienna, Vienna, Austria.
  • Magin TM; Institute of Biology, University of Leipzig, Leipzig, Germany.
  • Strnad P; Department of Internal Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Kiemer AK; Center for Biomarker Research in Medicine, Graz, Austria.
  • Moriggl R; Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, Austria; Ludwig Bolzmann Institute of Cancer Research, Vienna, Austria; Medical University Vienna, Vienna, Austria.
  • Haybaeck J; Institute of Pathology, Medical University of Graz, Graz, Austria; Department of Pathology, Medical Faculty, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany. Electronic address: Johannes.haybaeck@med.ovgu.de.
Transl Oncol ; 12(2): 256-268, 2019 Feb.
Article de En | MEDLINE | ID: mdl-30439626
ABSTRACT
BACKGROUND &

AIMS:

Steatohepatitis (SH) and SH-associated hepatocellular carcinoma (HCC) are of considerable clinical significance. SH is morphologically characterized by steatosis, liver cell ballooning, cytoplasmic aggregates termed Mallory-Denk bodies (MDBs), inflammation, and fibrosis at late stage. Disturbance of the keratin cytoskeleton and aggregation of keratins (KRTs) are essential for MDB formation.

METHODS:

We analyzed livers of aged Krt18-/- mice that spontaneously developed in the majority of cases SH-associated HCC independent of sex. Interestingly, the hepatic lipid profile in Krt18-/- mice, which accumulate KRT8, closely resembles human SH lipid profiles and shows that the excess of KRT8 over KRT18 determines the likelihood to develop SH-associated HCC linked with enhanced lipogenesis.

RESULTS:

Our analysis of the genetic profile of Krt18-/- mice with 26 human hepatoma cell lines and with data sets of >300 patients with HCC, where Krt18-/- gene signatures matched human HCC. Interestingly, a high KRT8/18 ratio is associated with an aggressive HCC phenotype.

CONCLUSIONS:

We can prove that intermediate filaments and their binding partners are tightly linked to hepatic lipid metabolism and to hepatocarcinogenesis. We suggest KRT8/18 ratio as a novel HCC biomarker for HCC.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Transl Oncol Année: 2019 Type de document: Article Pays d'affiliation: Autriche

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Transl Oncol Année: 2019 Type de document: Article Pays d'affiliation: Autriche
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