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An amendment to this paper has been published and can be accessed via the original article. [ABSTRACT FROM AUTHOR]

Previous research suggests that far upstream element-binding protein 1 (FUBP1) plays an important role in various tumors including epatocellular carcinoma (HCC). However, the role of FUBP1 in liver cancer remains controversial, and the regulatory pathway by FUBP1 awaits to be determined. This study aims to identify the role of FUBP1 in HCC progression. Our result shows that the high level of FUBP1 expression in HCC predicts poor prognosis after surgery. Overexpression of FUBP1 promotes HCC proliferation, invasion, and metastasis by activating transforming growth factor-β (TGF-β)/Smad pathway and enhancing epithelial-mesenchymal transition (EMT) in vitro and in vivo. Inhibitor of Thrombospondin-1 (LSKL) could inhibit HCC proliferation and invasion in vitro and in vivo by blocking the activation of TGF-β/Smad pathway mediated by thrombospondin-1 (THBS1). Our study identified the critical role of FUBP1-THBS1-TGF-β signaling axis in HCC and provides potentially new therapeutic modalities in HCC. [ABSTRACT FROM AUTHOR]

Background and Aims: Heat shock factor (HSF4) plays a vital role in carcinogenesis and tumour progression. However, its clinical significance implications in hepatocellular carcinoma (HCC) remained elusive. Methods: RT‐PCR and western blot were used to detect the HSF4 expression levels in HCC cells and tissues. Immunohistochemistry staining was performed on a tissue microarray containing 104 HCC patients received radical resection. In vitro effects of HSF4 on proliferation, migration and invasion were determined by colony formation and transwell assays in HCCLM3, Huh7, MHCC97L and SMMC7721 cells. Epithelial‐mesenchymal transition (EMT) was identified by RT‐PCR, WB and immunofluorescence in HCCLM3 and MHCC97L cells. AKT pathway activation was detected by WB and dual luciferase report system in HCCLM3 and MHCC97L cells. Results: HSF4 expression was higher in primary HCC tissues derived from recurrent patients, and positively correlated with invasiveness potentials of cell lines. Clinically, patients with high HSF4 expression had significant poorer prognosis. In vitro experiments showed HSF4 silencing inhibited HCC cell proliferation, migration and invasion, whereas HSF4 overexpression had inverse effects. Moreover, silence of HSF4 induced an epithelial‐like phenotype, whereas the overexpression of HSF4 resulted in a mesenchymal‐like phenotype in HCC by activating AKT pathway. Further experiments showed that HSF4 could activate AKT pathway in a hypoxia‐inducible factor‐1α (HIF‐1α) dependent, but transforming growth factor‐β (TGF‐β) independent manner. Conclusions: HSF4 is upregulated in HCC, resulting in greater proliferation, migration and invasion capacities. Moreover, high HSF4 expression is a promising predictive indicator of poor outcome after radical resection. HSF4 may promote aggressive tumour behaviour by enhancing EMT through activating AKT pathway in a HIF1α‐dependent manner. [ABSTRACT FROM AUTHOR]

Background: Previous studies reported that stress-induced phosphoprotein 1 (STIP1) can be secreted by hepatocellular carcinoma (HCC) cells and is increased in the serum of HCC patients. However, the therapy-monitoring and prognostic value of serum STIP1 in HCC remains unclear. Here, we aimed to systemically explore the prognostic significance of serum STIP1 in HCC. Methods: A total of 340 HCC patients were recruited to this study; 161 underwent curative resection and 179 underwent transcatheter arterial chemoembolization (TACE). Serum STIP1 was detected by enzyme-linked immunosorbent assay (ELISA). Optimal cutoff values for serum STIP1 in resection and TACE groups were determined by receiver operating characteristic (ROC) analysis. Prognostic value was assessed by Kaplan-Meier, log-rank, and Cox regression analyses. Predictive values of STIP1 for objective response (OR) to TACE and MVI were evaluated by ROC curves and logistic regression. Results: Serum STIP1 was significantly increased in HCC patients when compared with chronic hepatitis B patients or health donors (both P < 0.05). Optimal cutoff values for STIP1 in resection and TACE groups were 83.43 and 112.06 ng/ml, respectively. High pretreatment STIP1 was identified as an independent prognosticator. Dynamic changes in high STIP1 status were significantly associated with long-term prognosis, regardless of treatment approaches. Moreover, post-TACE STIP1 was identified as an independent predictor for OR, with a higher area under ROC curve (AUC-ROC) than other clinicopathological features. Specifically, pretreatment STIP1 was significantly increased in patients with microvascular invasion (MVI), and was confirmed as a novel, powerful predictor for MVI. Conclusions: Serum STIP1 is a promising biomarker for outcome evaluation, therapeutic response assessment, and MVI prediction in HCC. Integration serum STIP1 detection into HCC management might facilitate early clinical decision making to improve the prognosis of HCC. [ABSTRACT FROM AUTHOR]

Liver cancer is a lethal disease that is associated with poor prognosis. In order to identify the functionally important genes associated with liver cancer that may reveal novel therapeutic avenues, we performed integrated analysis to profile miRNA and mRNA expression levels for liver tumors compared to normal samples in The Cancer Genome Atlas (TCGA) database. We identified 405 differentially expressed genes and 233 differentially expressed miRNAs in tumor samples compared with controls. In addition, we also performed the pathway analysis and found that mitogen-activated protein kinases (MAPKs) and G-protein coupled receptor (GPCR) pathway were two of the top significant pathway nodes dysregulated in liver cancer. Furthermore, by examining these signaling networks, we discovered that FOS (Fos proto-oncogene, AP-1 transcription factor subunit), LAMC2 (laminin subunit gamma 2), and CALML3 (calmodulin like 3) were the most significant gene nodes with high degrees involved in liver cancer. The expression and disease prediction accuracy of FOS, LAMC2, CALML3, and their interacting miRNAs were further performed using a HCC cohort. Finally, we investigated the prognostic significance of FOS in another HCC cohort. Patients with higher FOS expression displayed significantly shorter time to recurrence (TTR) and overall survival (OS) compared with patients with lower expression. Collectively, our study demonstrates that FOS is a potential prognostic marker for liver cancer that may reveal a novel therapeutic avenue in this lethal disease. [ABSTRACT FROM AUTHOR]

Using a method optimized in hepatocellular carcinoma (HCC), we established patient‐derived xenograft (PDX) models with an increased take rate (42.2%) and demonstrated that FBS +10% dimethyl sulfoxide exhibited the highest tumor take rate efficacy. Among 254 HCC patients, 103 stably transplantable xenograft lines that could be serially passaged, cryopreserved and revived were established. These lines maintained the diversity of HCC and the essential features of the original specimens at the histological, transcriptome, proteomic and genomic levels. Tumor engraftment was associated with lack of encapsulation, poor tumor differentiation, large size and overexpression of cancer stem cell biomarkers, and was an independent predictor for overall survival and tumor recurrence after resection. To confirm the preclinical value of the PDX model in HCC treatment, several antitumor agents were tested in 16 selected PDX models. The results revealed a high degree of pharmacologic heterogeneity in the cohort, as well as heterogeneity to different agents in the same individual. The sorafenib responses observed between HCC patients and the corresponding PDXs were also consistent. After molecular characterization of the PDX models, we explored the predictive markers for sorafenib response and found that mitogen‐activated protein kinase kinase kinase 1 (MAP3K1) might play an important role in sorafenib resistance and sorafenib response is impaired in patients with MAP3K1 downexpression. Our results indicated that PDX models could accurately reproduce patient tumors biology and could aid in the discovery of new treatments to advance in precision medicine. What's new? Patient‐derived xenografts (PDX) models offer a promising preclinical tool. Here, the authors established the largest bank of hepatocellular carcinoma (HCC) PDX models with a high and stable tumor take rate that recapitulated the key clinical and molecular characteristics of primary tumors. The tumor take rate was associated with expression of cancer stem cell proteins, lack of tumor encapsulation, poor differentiation, advanced stage, overall survival, and time to recurrence in patients. The models were used to identify MAP3K1 expression as an indicator of patient response to sorafenib treatment. PDX models are valuable surrogates for HCC patients and could facilitate translational research. [ABSTRACT FROM AUTHOR]

Aim: To elucidate the integrative combinational gene regulatory network landscape of hepatocellular carcinoma (HCC) molecular carcinogenesis from diverse background. Materials & methods: Modified gene regulatory network analysis was used to prioritize differentially regulated genes and links. Integrative comparisons using bioinformatics methods were applied to identify potential critical molecules and pathways in HCC with different backgrounds. Results: E2F1 with its surrounding regulatory links were identified to play different key roles in the HCC risk factor dysregulation mechanisms. Hsa-mir-19a was identified as showed different effects in the three HCC differential regulation networks, and showed vital regulatory role in HBV-related HCC. Conclusion: We describe in detail the regulatory networks involved in HCC with different backgrounds. E2F1 may serve as a universal target for HCC treatment. [ABSTRACT FROM AUTHOR]

Hypoxia is a critical aspect of tumor biology and has been associated with poor prognosis and resistance to traditional therapy. In the present study, differentially expressed genes and microRNAs (miRNAs/miRs) were screened for in the hepatocellular carcinoma (HCC) cell line Huh7 under hypoxic conditions. On the basis of microarray data, 11,508 mRNAs and 58 miRNAs exhibiting ≥1.5-fold change in expression under hypoxic conditions were identified. Gene Ontology (GO) and Kyoto Encyclopedia or Genes and Genomes pathway analysis revealed that the differentially expressed genes were primarily involved in cell cycle regulation, cell division, transcription and G-protein-coupled receptor signaling pathways. Using the TargetScan and miRanda software packages with the miRNA-mRNA negative expression network, differentially expressed miRNA targets were predicted. GO analysis revealed that the primary function of these miRNAs was to regulate transcription and phosphorylation. The miRNA-mRNA networks for transcription and phosphorylation were analyzed. Network analysis revealed that the key miRNAs in these networks were miR-19a, miR-34a, miR-29a, mir-196a, miR-25 and miR-1207, whose potential gene targets include DNA-binding proteins, zinc-finger proteins and transcription factors. Certain protein kinases, includingmitogen-activated protein kinase (MAPK) 1, MAPK kinase kinase4 and cyclin-dependent kinase 18, were also revealed to be present in the network. In hypoxic HCC tissue, levels of several key miRNAs implicated in the network analyses (miR-19a, miR-34a, miR-25 and miR-1207) were revealed to exhibit increased expression levels compared with the surrounding tissue. The results of the present study provide evidence that miRNAs serve an important function in transcription and phosphorylation in the hypoxic response of HCC cells. [ABSTRACT FROM AUTHOR]

Curcumin, a yellow polyphenol extracted from the rhizome of turmeric root ( Curcuma longa ) has potent anti-cancer properties in many types of tumors with ability to reverse multidrug resistance of cancer cells. However, widespread clinical application of this agent in cancer and other diseases has been limited due to its poor aqueous solubility. The recent findings of polymeric nanoparticle formulation of curcumin (NFC) have shown the potential for circumventing the problem of poor solubility, however evidences for NFC's anti-cancer and reverse multidrug resistance properties are lacking. Here we provide models of human hepatocellular carcinoma (HCC), the most common form of primary liver cancer, in vitro and in vivo to evaluate the efficacy of NFC alone and in combination with sorafenib, a kinase inhibitor approved for treatment of HCC. Results showed that NFC not only inhibited the proliferation and invasion of HCC cell lines in vitro , but also drastically suppressed primary tumor growth and lung metastases in vivo . Moreover, in combination with sorafenib, NFC induced HCC cell apoptosis and cell cycle arrest. Mechanistically, NFC and sorafenib synergistically down-regulated the expression of MMP9 via NF-κB/p65 signaling pathway. Furthermore, the combination therapy significantly decreased the population of CD133-positive HCC cells, which have been reported as cancer initiating cells in HCC. Taken together, NanoCurcumin provides an opportunity to expand the clinical repertoire of this agent. Additional studies utilizing a combination of NanoCurcumin and sorafenib in HCC are needed for further clinical development. [ABSTRACT FROM AUTHOR]