HBX suppresses PTEN to promote the malignant progression of hepatocellular carcinoma through mi-R155 activation.

INTRODUCTION AND OBJECTIVES: Hepatocellular carcinoma (HCC) is one of the most common and fatal tumors in the world, ranking third in cancer-related mortality. Chronic HBV infection is one of the major risk factors for hepatocellular carcinoma in China, Korea, and Sub-Saharan Africa. The HBx protein encoded by the X gene of HBV is a broadly regulated protein involved in transcriptional activation, epigenetics, apoptosis, DNA repair, and other regulatory processes. This study aimed to investigate the mechanism of HBx regulation of miR-155 and PTEN (Phosphatase and tensin homolog deleted on chromosome ten) in HBV-HCC. METHODS: Exosomal miR-155 quantity was analyzed by sampling serum exosomes of patients with hepatocellular carcinoma and normal subjects. The analysis was divided into different subgroups according to HBV positivity or negativity. At the cellular level, the biological roles of HBX, microRNA-155 and PTEN on hepatocellular carcinoma cells and their regulatory relationships with each other were verified. RESULTS: MicroRNA-155 and PTEN expression in HBV-positive HCC liver cancer tissues were negatively correlated, and HBX and miR-155 expression were positively correlated; microRNA-155 could target and inhibit PTEN expression, thereby promoting hepatocellular carcinoma cell activity, inhibiting apoptosis, and promoting invasion and migration; HBX could upregulate microRNA-155 thereby inhibit PTEN to promote malignant transformation of hepatocellular carcinoma. CONCLUSIONS: HBX could promote malignant transformation of hepatocellular carcinoma cells by upregulating microRNA-155 expression and thereby inhibiting the PTEN/PI3K-AKT pathway. Blocking miR-155 expression could attenuate the proliferation-promoting and invasive effects of HBX.

NFAT2 overexpression suppresses the malignancy of hepatocellular carcinoma through inducing Egr2 expression.

BACKGROUND: Nuclear factor of activated T cells 2 (NFAT2) has been reported to regulate the development and malignancy of few tumors. In this study, we aimed to explore the effect of NFAT2 expression on cell fate of HepG2 cell and its potential mechanisms. METHODS: Firstly, the pcDNA3.1-NFAT2 plasmid was transfected into HepG2 cells to construct NFAT2 overexpressed HepG2 cells. Then, the chemical count kit-8 cell viability assay, Annexin V-FITC apoptosis detection, EdU labeling proliferation detection, transwell and wound healing experiments were performed. The expression of Egr2 and FasL, and the phosphorylation of AKT and ERK, after ionomycin and PMA co-stimulation, was detected, while the Ca2+ mobilization stimulated by K+ solution was determined. At last, the mRNA and protein expression of NFAT2, Egr2, FasL, COX-2 and c-myc in carcinoma and adjacent tissues was investigated. RESULTS: The NFAT2 overexpression suppressed the cell viability, invasion and migration capabilities, and promoted apoptosis of HepG2 cells. NFAT2 overexpression induced the expression of Egr2 and FasL and suppressed the phosphorylation of AKT and ERK. The sensitivity and Ca2+ mobilization of HepG2 cells was also inhibited by NFAT2 overexpression. Compared with adjacent tissues, the carcinoma tissues expressed less NFAT2, Egr2, FasL and more COX-2 and c-myc. CONCLUSION: The current study firstly suggested that NFAT2 suppressed the aggression and malignancy of HepG2 cells through inducing the expression of Egr2. The absence of NFAT2 and Egr2 in carcinoma tissues reminded us that NFAT2 may be a promising therapeutic target for hepatocellular carcinoma treatment.

Combined chemo/photothermal therapy based on mesoporous silica-Au core-shell nanoparticles for hepatocellular carcinoma treatment.

Chemotherapy has been widely used for treatment to malignant cancer, such as hepatocellular carcinoma (HCC). Chemotherapeutic effect was not often efficient to achieve totally tumor ablation due to the poor cellular uptake and drug resistance. To address these problems, a novel nanoplatform was constructed based on nontoxic mesoporous silica nanoparticles (MSNs) for a combined chemo/photothermal therapy to enhance tumor cell accumulation and promote toxicity of chemotherapeutic drugs. Prepared MSNs were consisted of Au nanoshell for photothermal conversion and a first-line anti-HCC drug-sorafenib (SO) for chemotherapy. The SO-Au-MSNs could help SO accumulate more in hepatic cancer cells. Under near infrared irradiation, SO-Au-MSNs exerted a high cell inhibition rate which could be attributed to the enhanced toxicity of SO under hyperthermia and synergistic chemo/photothermal therapy. SO-Au-MSNs showed a good compatibility as well as efficient cell cytotoxicity. Overall, SO-Au-MSNs would be a promising candidate for further enhancing the antitumor effect on HCC.

DNA methylation biomarkers for diagnosis of primary liver cancer and distinguishing hepatocellular carcinoma from intrahepatic cholangiocarcinoma.

Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are the two most common pathology subtypes of primary liver cancer (PLC). Identifying DNA methylation biomarkers for diagnosis of PLC and further distinguishing HCC from ICC plays a vital role in subsequent treatment options selection. To obtain potential diagnostic DNA methylation sites for PLC, differentially methylated CpG (DMC) sites were first screened by comparing the methylation data between normal liver samples and PLC samples (ICC samples and HCC samples). A random forest algorithm was then used to select specific DMC sites with top Gini value. To avoid overfitting, another cohort was taken as an external validation for evaluating the area under curves (AUCs) of different DMC sites combination. A similar model construction strategy was applied to distinguish HCC from ICC. In addition, we identified DNA Methylation-Driven Genes in HCC and ICC via MethylMix method and performed pathway analysis by utilizing MetaCore. Finally, we not only performed methylator phenotype based on independent prognostic sites but also analyzed the correlations between methylator phenotype and clinical factors in HCC and ICC, respectively. To diagnose PLC, we developed a model based on three PLC-specific methylation sites (cg24035245, cg21072795, and cg00261162), whose sensitivity and specificity achieved 98.8%,94.8% in training set and 97.3%,81% in validation set. Then, to further divide the PLC samples into HCC and ICC, we established another mode through three methylation sites (cg17769836, cg17591574, and cg07823562), HCC accuracy and ICC accuracy achieved 95.8%, 89.8% in the training set and 96.8%,85.4% in the validation set. In HCC, the enrichment pathways were mainly related to protein folding, oxidative stress, and glutathione metabolism. While in ICC, immune response, embryonic hepatocyte maturation were the top pathways. Both in HCC and ICC, methylator phenotype correlated well with overall survival time and clinical factors involved in tumor progression. In summary, our study provides the biomarkers based on methylation sites not only for the diagnosis of PLC but also for distinguishing HCC from ICC.

MiniPDX-guided postoperative anticancer treatment can effectively prolong the survival of patients with hepatocellular carcinoma.

BACKGROUND: The recurrence rate of hepatocellular carcinoma (HCC) after partial hepatectomy is still high. How to choose the most appropriate anti-tumor drug in the early postoperative period is crucial to improve the prognosis of patients. Recently, MiniPDX has been widely used as a new and reliable preclinical research model capable of predicting the sensitivities of anti-tumor drugs. METHODS: Twenty-eight patients with HCC were selected to use the MiniPDX model to screen the most sensitive anti-tumor drugs from five groups of drug regimens for preventive treatment after partial hepatectomy, and another 42 patients with HCC were selected to be treated with Sorafenib during the same period as the control group. The tumor-free survival rate and overall survival rate were analyzed and compared between these two groups. The relationship between drug sensitivity and biomarkers related to HCC was also analyzed. RESULTS: Kaplan-Meier survival curve analysis showed that the tumor-free survival (DFS) of patients in the MiniPDX group was significantly longer than that in the control group (median DFS: 25.8 months vs. 18.2 months, P = 0.022, HR 2.19, 95% CI 1.17-4.12). The overall survival (OS) of the patients in the MiniPDX group was also longer than that in the control group (median OS: 29.4 months vs. 23.8 months, P = 0.039, HR 2.37, 95% CI 1.12-5.00). The longest follow-up period was 36 months. The relationship analyzed between the efficacy of the five drugs (Regorafenib, Regorafenib, Lenvatinib, Gemcitabine, 5-FU + Oxaliplatin) and AFP, Ki-67, VEGFR, FGFR, P53, and Nrf2 showed different correlations. CONCLUSION: The use of the MiniPDX model to select drugs to guide anti-tumor treatment after partial hepatectomy could effectively prolong the survival of patients with HCC.

[One case of concurrent hemorrhage after pancreatic islet transplantation by percutaneous transhepatic portal approach].

OBJECTIVE: The percutaneous transhepatic portal approach is the most commonly used technique for islet transplantation, largely owing to its safety and minimally invasive characteristic. Bleeding complications after islet transplantation are rare. A case of type 1 diabetes mellitus (T1DM) was treated in Tianjin First Center Hospital, who had a massive intra-abdominal hemorrhage after percutaneous transhepatic portal vein catheterization for islet transplantation. Through the review of the overall development of the case, we aim to improve the awareness of the complications of islet transplantation, to reduce the incidence of complications after percutaneous transhepatic portal vein transplantation, and to provide experience.