https://www.selleckchem.com/products/tideglusib.html C (OR = 2.54; 95%CI 1.44-4.56; = 0.001). A similar result was observed in the comparison of the TT CC genotype between the control group and cirrhosis group (OR = 2.88; 95%CI 1.44-5.77; = 0.001) but not for HCC patients. In the dominant T allele model, the CT + TT genotypes were associated with an increased risk for progression to cirrhosis (OR = 2.60; 95%CI 1.63-4.19; < 0.001) and HCC (OR = 2.45; 95%CI 1.42-4.31; = 0.001). These findings suggest that the T allele of rs12979860 polymorphism is associated with the development of cirrhosis and HCC in chronic HCV-infected patients. These findings suggest that the T allele of IFNL4 rs12979860 polymorphism is associated with the development of cirrhosis and HCC in chronic HCV-infected patients. The broader use of high-throughput technologies has led to improved molecular characterization of hepatocellular carcinoma (HCC). To comprehensively analyze and characterize all publicly available genomic, gene expression, methylation, miRNA and proteomic data in HCC, covering 85 studies and 3355 patient sample profiles, to identify the key dysregulated genes and pathways they affect. We collected and curated all well-annotated and publicly available high-throughput datasets from PubMed and Gene Expression Omnibus derived from human HCC tissue. Comprehensive pathway enrichment analysis was performed using pathDIP for each data type (genomic, gene expression, methylation, miRNA and proteomic), and the overlap of pathways was assessed to elucidate pathway dependencies in HCC. We identified a total of 8733 abstracts retrieved by the search on PubMed on HCC for the different layers of data on human HCC samples, published until December 2016. The common key dysregulated pathways in HCC tissue across differhput genomic, transcriptomic, miRNA, methylation and proteomic data from human HCC tissue, we identified EGFR, β1-integrin and axon guidance as pathway dependencies in HCC. These ar