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Background: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide. It is indispensable to understanding molecular mechanisms of HCC progression and to developing clinically useful biomarkers for this disease.Aim: In this article, we examined whether HOXC8 was associated with the poor prognosis of hepatocellular carcinoma and explored the possible underlying mechanism.Methods: The HOXC8 and Ki67 expression levels in 86 patients with hepatocellular carcinoma were examined using immunohistochemistry. HOXC8 levels in HCC cells were downregulated by siRNA transfection. The cycle progression and cell proliferation status of HCC cells and the oxaliplatin effectiveness were evaluated by flow cytometry and CCK-8 assay. HOXC8, CyclinD1, PCNA, Nkd2, and cleaved caspase-3 levels were detected by western blot.Results: HOXC8 was upregulated in HCC tissues, compared with adjacent non-tumor ones. HOXC8 expression levels in 86 patients with hepatocellular carcinoma were positively correlated with histological grade. Univariate and multivariate survival analysis revealed that HOXC8 was a significant predictor for overall survival of HCC patients. HOXC8 siRNA knockdown delayed the G1-S phase transition, inhibited cell proliferation, and attenuated resistance to oxaliplatin.Conclusions: HOXC8 promoted HCC proliferation and predicted poor prognosis. Furthermore, upregulated HOXC8 expression was associated with oxaliplatin resistance in hepatocellular carcinoma. [ABSTRACT FROM AUTHOR]

Investigation of the potential therapeutic mechanisms of drug candidates is an essential step in the process of new drug discovery. With the rapid development of systems biology, recent network analyses of proteins, drugs, and diseases have enabled great progress in delineating the molecule mechanisms of drug candidates. However, most analyses perform a direct association between gene/protein and disease levels without considering the intermediate biological pathways regulated by the drugs. Given that a protein performs its biological roles through pathways, we propose using a novel pathway-pathway network analysis to investigate the potential therapeutic functions of the drug candidates. Many studies have demonstrated that salvianolic acid B (Sal B) of Salvia miltiorrhiza is an effective therapy for cardiovascular diseases (CVD). Using molecular docking methods to identify direct interacting targets of Sal B, we collected all Sal B-regulated proteins with supporting experimental evidence in PubMed abstracts. FDA-approved CVD drugs and their corresponding targets were also collected. From a traditional drug-protein network analysis, we found that Sal B could affect ACE and REN of the renin-angiotensin-aldosterone system to relax vessels and alleviate hypertension. Subsequent pathway-pathway network analysis was attempted to study the mechanisms of Sal B in treating CVD, and demonstrated that Sal B regulates immunity/inflammation, apoptosis, ion transport and basic metabolism processes in the treatment of CVD. Regulating the immune/inflammation process may be the major mechanism of Sal B. We believe that pathway-pathway network analysis is a novel method for studying the therapeutic mechanisms of herbal ingredients. [ABSTRACT FROM AUTHOR]