Literature DB >> 19111389

The disease relevance of human hepatocellular xenograft models: molecular characterization and review of the literature.

K Kashofer1, M M Tschernatsch, H J Mischinger, F Iberer, K Zatloukal.   

Abstract

In recent years a number of new therapeutics has been developed that were not general toxins and inhibitors of cell division like classical chemotherapeutics, but were designed to target a specific pathway. A prerequisite for this development was the comprehensive characterization of molecular alterations occurring in human hepatocellular carcinoma (HCC). However, while much knowledge of the molecular pathogenesis of human HCC has been gained, the model systems used to test the functional relevance of these alterations and applied for preclinical evaluation of drug candidates are still poorly characterized. In this paper, we reviewed the literature about several commonly used HCC cell lines and xenotransplantation models and present our own data on the molecular characterization of these. Results obtained demonstrate that it is important to have a sound knowledge of the specific molecular constitution of the experimental model and to carefully evaluate the functional status of the pathway of interest. For this reason, we make the gene expression profiles publicly available to help researchers making an informed decision about which model to use.

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Year:  2008        PMID: 19111389     DOI: 10.1016/j.canlet.2008.11.011

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  3 in total

1.  SYSGENET: a meeting report from a new European network for systems genetics.

Authors:  Klaus Schughart
Journal:  Mamm Genome       Date:  2010-07-11       Impact factor: 2.957

2.  enRoute: dynamic path extraction from biological pathway maps for exploring heterogeneous experimental datasets.

Authors:  Christian Partl; Alexander Lex; Marc Streit; Denis Kalkofen; Karl Kashofer; Dieter Schmalstieg
Journal:  BMC Bioinformatics       Date:  2013-11-12       Impact factor: 3.169

3.  A Systems Biology Approach to Deciphering the Etiology of Steatosis Employing Patient-Derived Dermal Fibroblasts and iPS Cells.

Authors:  Justyna Jozefczuk; Karl Kashofer; Ramesh Ummanni; Frauke Henjes; Samrina Rehman; Suzanne Geenen; Wasco Wruck; Christian Regenbrecht; Andriani Daskalaki; Christoph Wierling; Paola Turano; Ivano Bertini; Ulrike Korf; Kurt Zatloukal; Hans V Westerhoff; Hans Lehrach; James Adjaye
Journal:  Front Physiol       Date:  2012-09-03       Impact factor: 4.566

  3 in total

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