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Series GSE33814 Query DataSets for GSE33814
Status Public on Dec 10, 2012
Title Gene expression profiling unravels cancer-related hepatic molecular signatures in steatohepatitis but not in steatosis
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Pathogenesis and factors for determining progression of alcoholic and non-alcoholic steatosis to steatohepatitis with risk of further progression to liver cirrhosis and cancer are poorly understood. In the present study, we aimed to identify potential molecular signatures for discrimination of steatohepatitis from steatosis. Global gene expression analysis was applied to unravel differentially expressed genes between steatohepatitis compared to steatosis and control samples. For functional annotation as well as the identification of disease-relevant biological processes of the differentially expressed genes the gene ontology (GO) database was used. Genes down-regulated in steatohepatitis were mainly involved in metabolic processes. Genes up-regulated in steatohepatitis samples were associated with cancer progression and proliferation. Further statistical and pathway analysis lead to the selection of 46 candidate genes which were validated in two sample cohorts by quantitative real-time PCR. In surgical liver resection samples 39 genes and in percutaneous liver biopsies 30 genes were significantly up-regulated in steatohepatitis. Conclusion: The development of steatohepatitis is characterized by distinct molecular changes.
 
Overall design 44 human liver tissue surgical samples (normal n=13; steatosis n=19; steatohepatitis n=12, 8/2 cirrhotic/non-cirrhotic) obtained from patients undergoing liver surgery for HCC, other malignancy/metastatic disease, benign tumors of the liver and organ dedicated to transplantation. Virtually normal control samples in this cohort were taken from patients undergoing surgical resection of liver metastasis, but the surrounding liver tissue used for the molecular analyses was normal, non-tumorous liver tissue without detectable pathological changes. The samples were provided by the Biobank at the Medical University of Graz.
 
Contributor(s) Starmann J, Sültmann H, Fälth M, Trauner M, Zatloukal K
Citation(s) 23071592
Submission date Nov 18, 2011
Last update date Feb 18, 2019
Contact name Julia Starmann
E-mail(s) j.starmann@dkfz.de
URL http:// http://www.dkfz.de/en/genetics/TranslationalOncogenomics/cancer-genome-research.html/groups.asp?siteID=93
Organization name German Cancer Research Center (DKFZ) and National Center for Tumor Diseases Heidelberg (NCT)
Department Molecular Genetics
Lab Unit Cancer Genome Research
Street address Im Neuenheimer Feld 460
City Heidelberg
ZIP/Postal code 69120
Country Germany
 
Platforms (1)
GPL6884 Illumina HumanWG-6 v3.0 expression beadchip
Samples (44)
GSM836222 IMGUS_32
GSM836223 IMGUS_33
GSM836224 IMGUS_34
Relations
BioProject PRJNA148141

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE33814_RAW.tar 6.3 Mb (http)(custom) TAR
GSE33814_non-normalized.txt.gz 28.3 Mb (ftp)(http) TXT
Processed data included within Sample table

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