Long Intergenic Nonprotein Coding RNA 0152 Promotes Hepatocellular Carcinoma Progression by Regulating Phosphatidylinositol 3-Kinase/Akt/Mammalian Target of Rapamycin Signaling Pathway through miR-139/PIK3CA.

Hepatocellular carcinoma (HCC) ranks as the fifth most common cancer worldwide, and it is the primary histologic subtype of liver cancer, with high incidence and poor prognosis. Recently, numerous long noncoding RNAs have been reported to be associated with the tumorigenesis of HCC; however, the underlying mechanisms of long intergenic nonprotein coding RNA 0152 (LINC00152) action in HCC are poorly understood. Herein, we identified a significant up-regulation of LINC00152 in both HCC tissues and cell lines. Functional studies showed that knockdown of LINC00152 inhibited cell proliferation, migration, and invasion, but promoted cell apoptosis, indicating its oncogenic functions in HCC tumorigenesis. Mechanistically, LINC00152 functioned as an efficient miR-139 sponge, thereby releasing the suppression of PIK3CA (a target gene of miR-139). Anti-miR-139 rescued the inhibition of cell proliferation, migration, and invasion induced by LINC00152 knockdown. Similarly, PIK3CA-overexpressing plasmid also reversed miR-139-mediated biological functions in HCC cells. Taken together, our study revealed a crucial regulatory network of LINC00152/miR-139/PIK3CA axis in the tumorigenesis of HCC, implying that LINC00152 may be a biomarker and novel therapeutic target for further clinical therapy of HCC.

Radiomics model based on contrast-enhanced computed tomography to predict early recurrence in patients with hepatocellular carcinoma after radical resection.

BACKGROUND: Radical resection remains an effective strategy for patients with hepatocellular carcinoma (HCC). Unfortunately, the postoperative early recurrence (recurrence within 2 years) rate is still high. AIM: To develop a radiomics model based on preoperative contrast-enhanced computed tomography (CECT) to evaluate early recurrence in HCC patients with a single tumour. METHODS: We enrolled a total of 402 HCC patients from two centres who were diagnosed with a single tumour and underwent radical resection. First, the features from the portal venous and arterial phases of CECT were extracted based on the region of interest, and the early recurrence-related radiomics features were selected via the least absolute shrinkage and selection operator proportional hazards model (LASSO Cox) to determine radiomics scores for each patient. Then, the clinicopathologic data were combined to develop a model to predict early recurrence by Cox regression. Finally, we evaluated the prediction performance of this model by multiple methods. RESULTS: A total of 1915 radiomics features were extracted from CECT images, and 31 of them were used to determine the radiomics scores, which showed a significant difference between the early recurrence and nonearly recurrence groups. Univariate and multivariate Cox regression analyses showed that radiomics scores and serum alpha-fetoprotein were independent indicators, and they were used to develop a combined model to predict early recurrence. The area under the receiver operating characteristic curve values for the training and validation cohorts were 0.77 and 0.74, respectively, while the C-indices were 0.712 and 0.674, respectively. The calibration curves and decision curve analysis showed satisfactory accuracy and clinical utilities. Kaplan-Meier curves based on recurrence-free survival and overall survival showed significant differences. CONCLUSION: The preoperative radiomics model was shown to be effective for predicting early recurrence among HCC patients with a single tumour.

[Correlation between interleukin-28B genetic polymorphisms and primary hepatocellular carcinoma].

OBJECTIVE: To explore the correlation between single nucleotide polymorphisms (SNPs) of interleukin-28B (IL-28B) gene and the susceptibility to primary hepatocellular carcinoma (HCC). METHODS: A total of 300 histologically confirmed HCC cases (from November 2001 to April 2010) and 310 healthy controls with no history of chronic hepatitis B or hepatocellular carcinoma (2009-2010) were selected from a hospital in Guilin and a hospital in Beijing for this case-control study.139 HCC patients in the case group had complete clinical tracking data. All the subjects were Han Chinese, with no age or gender restrictions.2 ml peripheral blood samples were drawn from each subject with informed consent. SNP of rs12972991, rs4803223, rs8099917 and rs12979860 four loci in IL-28B gene were analyzed by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF). RESULTS: The frequencies of C allele at rs12972991, G allele at rs8099917 and G allele at rs4803223 were 6.7% (40/598), 7.9% (47/598) and 10.0% (59/588) respectively in case group; all higher than the corresponding frequencies in control group, separately 2.9% (18/618), 4.1% (25/616) and 3.6% (21/608). The differences were statistically significant (χ2=9.542, 7.858, 20.736, P values all<0.05). The above alleles could increase the risk of HCC, and the OR (95%CI) values were separately 1.67 (1.13-2.46), 1.49 (1.08-2.06) and 2.91 (1.79-4.72). The genotype frequencies of AC+CC at rs12972991, GT+GG at rs8099917, GA+GG at rs4803223 were 13.0% (39/299), 14.7% (44/299) and 19.0% (56/296) respectively in case group; while the frequencies were lower in control group, separately 5.8% (18/309), 8.1% (25/308) and 6.6% (20/304). The differences were statistically significant (χ2=9.319, 6.557, 20.948, P values all<0.05). These genotypes may increase the risk of HCC, and the adjusted OR (95%CI) values were 2.24 (1.31-3.83), 1.81 (1.14-2.88) and 2.90 (1.78-4.70), respectively. The stratified analysis of the clinical data indicated that the frequency of genotype GA+GG at rs4803223 was 50.0% (13/26) in patients of tumor thrombosis in portal vein (TTPV), higher than the frequency of genotype AA (21.1%, 23/109). The difference was statistically significant (χ2=8.965, P=0.003). CONCLUSION: The results suggested that IL-28B gene polymorphisms was correlated to the susceptibility to HCC in Chinese Han ethnic population. Among them, GA + GG genotype at rs4803223 could increase the risk of TTPV in HCC patients.

Novel index for the prediction of significant liver fibrosis and cirrhosis in chronic hepatitis B patients in China.

BACKGROUND: Noninvasive, practical, and convenient means of detection for the prediction of liver fibrosis and cirrhosis in China are greatly needed. AIM: To develop a precise noninvasive test to stage liver fibrosis and cirrhosis. METHODS: With liver biopsy as the gold standard, we established a new index, [alkaline phosphatase (U/L) + gamma-glutamyl transpeptidase (U/L)/platelet (109/L) (AGPR)], to predict liver fibrosis and cirrhosis. In addition, we compared the area under the receiver operating characteristic curve (AUROC) of AGPR, gamma-glutamyl transpeptidase to platelet ratio, aspartate transaminase to platelet ratio index, and FIB-4 and evaluated the accuracy of these routine laboratory indices in predicting liver fibrosis and cirrhosis. RESULTS: Correlation analysis revealed a significant positive correlation between AGPR and liver fibrosis stage (P < 0.001). In the training cohort, the AUROC of AGPR was 0.83 (95%CI: 0.78-0.87) for predicting fibrosis (≥ F2), 0.84 (95%CI: 0.79-0.88) for predicting extensive fibrosis (≥ F3), and 0.87 (95%CI: 0.83-0.91) for predicting cirrhosis (F4). In the validation cohort, the AUROCs of AGPR to predict ≥ F2, ≥ F3 and F4 were 0.83 (95%CI: 0.77-0.88), 0.83 (95%CI: 0.77-0.89), and 0.84 (95%CI: 0.78-0.89), respectively. CONCLUSION: The AGPR index should become a new, simple, accurate, and noninvasive marker to predict liver fibrosis and cirrhosis in chronic hepatitis B patients.

Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver malignancy with a rising incidence worldwide. The prognosis of HCC patients after radical resection remains poor. Radiomics is a novel machine learning method that extracts quantitative features from medical images and provides predictive information of cancer, which can assist with cancer diagnosis, therapeutic decision-making and prognosis improvement. AIM: To develop and validate a contrast-enhanced computed tomography-based radiomics model for predicting the overall survival (OS) of HCC patients after radical hepatectomy. METHODS: A total of 150 HCC patients were randomly divided into a training cohort (n = 107) and a validation cohort (n = 43). Radiomics features were extracted from the entire tumour lesion. The least absolute shrinkage and selection operator algorithm was applied for the selection of radiomics features and the construction of the radiomics signature. Univariate and multivariate Cox regression analyses were used to identify the independent prognostic factors and develop the predictive nomogram, incorporating clinicopathological characteristics and the radiomics signature. The accuracy of the nomogram was assessed with the concordance index, receiver operating characteristic (ROC) curve and calibration curve. The clinical utility was evaluated by decision curve analysis (DCA). Kaplan-Meier methodology was used to compare the survival between the low- and high-risk subgroups. RESULTS: In total, seven radiomics features were selected to construct the radiomics signature. According to the results of univariate and multivariate Cox regression analyses, alpha-fetoprotein (AFP), neutrophil-to-lymphocyte ratio (NLR) and radiomics signature were included to build the nomogram. The C-indices of the nomogram in the training and validation cohorts were 0.736 and 0.774, respectively. ROC curve analysis for predicting 1-, 3-, and 5-year OS confirmed satisfactory accuracy [training cohort, area under the curve (AUC) = 0.850, 0.791 and 0.823, respectively; validation cohort, AUC = 0.905, 0.884 and 0.911, respectively]. The calibration curve analysis indicated a good agreement between the nomogram-prediction and actual survival. DCA curves suggested that the nomogram had more benefit than traditional staging system models. Kaplan-Meier survival analysis indicated that patients in the low-risk group had longer OS and disease-free survival (all P < 0.0001). CONCLUSION: The nomogram containing the radiomics signature, NLR and AFP is a reliable tool for predicting the OS of HCC patients.

RFX5 promotes the progression of hepatocellular carcinoma through transcriptional activation of KDM4A.

Regulatory factor X-5 (RFX5) represents a key transcription regulator of MHCII gene expression in the immune system. This study aims to explore the molecular mechanisms and biological significance of RFX5. Firstly, by analyzing ENCODE chromatin immunoprecipitation (ChIP)-seq in HepG2 and TCGA RNA-seq data, we discovered lysine-specific demethylase 4A (KDM4A), also named JMJD2A, to be a major downstream target gene of RFX5. Moreover, RFX5 was verified to bind directly to the KDM4A's promoter region and sequentially promoted its transcription determined by the ChIP-PCR assay and luciferase assay. In addition, RFX5-dependent regulation of KDM4A was demonstrated in HCC. Compared with adjacent non-tumor tissues, the expression levels of KDM4A were significantly raised in HCC tumor tissues. Notably, elevated levels of KDM4A were strongly correlated with HCC patient prognosis. Functionally, KDM4A overexpression largely rescued the growth inhibitory effects of RFX5 deletion, highlighting KDM4A as a downstream effector of RFX5. Mechanistically, the RFX5-KDM4A pathway promoted the progression of the cell cycle from G0/G1 to S phase and was protective against cell apoptosis through regulation of p53 and its downstream genes in HCC. In conclusion, RFX5 could promote HCC progression via transcriptionally activating KDM4A expression.

Expression of CIITA-related MHCII molecules in tumors linked to prognosis in hepatocellular carcinoma.

The prognosis of hepatocellular carcinoma (HCC) after surgery is poor due to its high recurrence rate. In order to unfold the mechanism of different recurrent-free survival (RFS) times following resection, expression profiling of tumor tissues from 32 HCC patients with different RFS time were used to identify differential expression of individual genes and signaling pathway components correlated with RFS time. Quantitative RT-PCR, Western blotting, and immunohistochemistry were used to validate the expression of selected genes. Up-regulation of several immune related genes and pathways, especially HLA II-related antigen presenting pathways, significantly correlated with longer RFS time. The expression of MHCII molecules were found to be mainly located in either CD68+ cells or CD45+ cells, and their expression significantly correlated with the expression of CIITA (HLA II genes transactivator) in the tumor. The results suggest that the high expression level of CIITA and MHCII molecules in hepatocellular carcinoma tissue is an effective prognostic marker for longer RFS time in HCC.

Regulatory factor X5 promotes hepatocellular carcinoma progression by transactivating tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein theta and suppressing apoptosis.

BACKGROUND: Our previous studies have shown that regulatory factor X5 (RFX5), a classical transcription regulator of MHCII genes, was obviously overexpressed in hepatocellular carcinoma (HCC) tumors. However, the role of RFX5 in the carcinogenesis and progress of HCC remains unknown. This study aimed to reveal its biological significance and the underlying mechanism in HCC. METHODS: RFX5 mRNA expression level and copy number variation in HCC tumors and cell lines were determined by analyzing deposited data sets in the Cancer Genome Atlas and Gene Expression Omnibus database. The biological significance of RFX5 in HCC was investigated by monitoring the colony formation and subcutaneous tumor growth capacity when RFX5 was silenced with lentiviral short hairpin RNA and CRISPR/Cas9 system in HCC cell lines. The downstream gene transcriptionally activated by RFX5 in HCC cells was determined by chromatin immunoprecipitation and luciferase reporter assay. The involvement of tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein theta (YWHAQ) in HCC development was further determined by performing colony formation rescue assay and subcutaneous tumor growth rescue experiment. The association of YWHAQ with recurrence-free survival of patients with HCC was assessed by Kaplan-Meier analysis. Moreover, apoptosis level and the protein level of p53 pathway were determined to reveal the mechanism of RFX5 in driving HCC development. RESULTS: RFX5 was amplified and highly overexpressed in HCC tumor tissues compared with the corresponding non-tumor tissues. The mRNA expression level of RFX5 was significantly correlated with its DNA copy number (r = 0.4, P < 0.001). Functional study demonstrated that RFX5 was required for both clonogenic forming in vitro and subcutaneous tumor growth in vivo of HCC cells. Further study identified YWHAQ, namely 14-3-3 tau, as a key downstream transcriptional target gene of RFX5, which was tightly regulated by RFX5 in HCC. Moreover, overexpression of YWHAQ largely rescued the clonogenic growth of HCC cells that was suppressed by RFX5 knockdown. In addition, overexpression of YWHAQ in primary tumor was linked to poor prognosis of patients with HCC. These results demonstrated that YWHAQ was a downstream effector of RFX5 in HCC. Notably, RFX5-YWHAQ pathway could protect cells from apoptosis by suppressing the p53 and Bax in HCC. CONCLUSION: RFX5 is a putative HCC driver gene that plays an important role in the development and progression of HCC by transactivating YWHAQ and suppressing apoptosis.

Effect of Upregulated DNA Replication and Sister Chromatid Cohesion 1 Expression on Proliferation and Prognosis in Hepatocellular Carcinoma.

BACKGROUND: DNA replication and sister chromatid cohesion 1 (DSCC1) (also called DCC1) is a component of an alternative replication factor C complex that loads proliferating cell nuclear antigen onto DNA during S phase of the cell cycle. It is located at 8q24 and frequently amplified in hepatocellular carcinoma (HCC). However, the role of DSCC1 in the carcinogenesis and progress of HCC has not been fully investigated. Here, we aimed to assert the importance of DSCC1 in the HCC. METHODS: In this study, copy number variation data and RNA sequencing data were used to calculate the DNA copy number and mRNA expression of DSCC1 in HCC. Quantitative polymerase chain reaction, Western blotting, and immunohistochemistry analysis were used to determine the mRNA and protein level of DSCC1 in HCC. The Kaplan-Meier analysis and univariate and multivariate Cox regression analysis were used to assess the association of DSCC1 with the overall survival (OS) of HCC patients. Moreover, lentiviral shRNA was used to knockdown DSCC1, and then, colony-forming assay, cell cycle assay, and cell proliferation assay were performed to evaluate the impact of DSCC1 silencing on HCC cell lines. RESULTS: We found that DSCC1 was amplified and highly expressed in HCC tumor tissues than in nontumor tissues. We then found that the overexpression of both mRNA and protein of DSCC1 was linked to the bad prognosis of HCC patients. Astonishingly, the protein level of DSCC1 was an independent prognostic factor for OS (hazard ratio, 1.79; 95% confidence interval, 1.17-2.74; P = 0.007). Furthermore, the clonogenic capacity of DSCC1-amplified HCC cell lines (MHCC-97H, MHCC-97L, and Hep3B) was significantly inhibited by transduction of a lentiviral shRNA that targets DSCC1. We also showed that knockdown of DSCC1 induced G0-G1 cell cycle arrest (increased from 60% to more than 80%) and greatly inhibited the proliferation of HCC cell lines. CONCLUSION: These results suggest that DSCC1 is a putative HCC driver gene that promotes proliferation and is associated with poor prognosis in HCC.

[The frequency, phenotypes and functions of CD4+ CD25+ regulatory T cells in hepatocellular carcinoma patients].

OBJECTIVES: (1) To evaluate the prevalence, phenotypes and suppressive function of CD4+CD25+ regulatory T cells (Tregs) among the in peripheral blood mononuclear cells (PBMCs) and tumor-infiltration lymphocytes (TILs) from hepatocellular carcinoma (HCC) patients and patients with chronic hepatitis B. (2) To investigate the correlation between the frequency of CD4+CD25+ Tregs and clinical characteristics of HCC patients. METHODS: PBMCs and TILs in 18 HCC patients, 10 chronic hepatitis B (CHB) patients and 15 healthy donors were evaluated for the phenotypes of CD4+CD25+ Tregs and the proportion of CD4+CD25+ Tregs as a percentage of the total CD4+ cells, by flow cytometric analysis with three or four color staining. The relationship between the frequency of CD4+CD25+ Tregs and tumor TNM stages was analyzed. The CD4+CD25+ Tregs and CD4+CD25- T cells were isolated from PBMC of HCC patients and donors. The suppressive function of CD4+CD25+ Tregs was analyzed. RESULTS: The percentages of CD4+CD25+ Tregs of the HCC patients (6.38% +/- 6.30%) and CHB patients (4.29% +/- 1.82%) were significantly higher than those of the healthy donors (1.58% +/- 0.55%, P less than 0.01). Among the TILs, the percentage of CD4+CD25+ Tregs was higher (t = 4.39, P < 0.01). There were significant differences in the prevalence of CD4+CD25+ Tregs in early and advanced stage HCCs (stage II vs. III, P less than 0.05; stage II vs. IV P < 0.01). The proliferative capacity of CD4+CD25- T cells was inhibited by the presence of CD4+CD25+ T cells in a dose-dependent manner where the level of suppression was correlated to the ratio of the two-cell populations. CONCLUSION: These results suggest that the increase in frequency of CD4+CD25+ Tregs might play a role in the suppression of the immune response against HCC, which may contribute to the HCC cells that escaped from immunological surveillance.

The preoperative alkaline phosphatase-to-platelet ratio index is an independent prognostic factor for hepatocellular carcinoma after hepatic resection.

A simple, inexpensive, and readily available prognostic index is highly needed to accurately predict the prognosis of hepatocellular carcinoma (HCC). This study aimed to develop a simple prognostic index using routine laboratory tests, alkaline phosphatase-to-platelet count ratio index (APPRI), to predict the likelihood of postoperative survival in HCC patients.A total of 246 patients with HCC undergoing curative resection were retrospectively analyzed. Cutoff point for APPRI was calculated using receiver operating characteristic curve analysis, and then the patients were divided into the low-APPRI group (APPRI ≤ 4.0) and the high-APPRI group (APPRI > 4.0). The influences of APPRI on disease-free survival (DFS) and overall survival (OS) were tested by the Kaplan-Meier method, and multivariate analysis using Cox regression. Elevated APPRI was associated with age, cirrhosis, and aspartate aminotransferase (AST) in HCC. Univariate analysis showed that APPRI > 4.0, tumor size >6 cm, multiple tumors, Barcelona-clinic liver cancer stages B to C, and AST > 40 U/L were significant predictors of worse DFS and OS. A multivariate analysis suggested that APPRI > 4.0 was an independent factor for DFS (hazard ratio [HR] = 1.689; 95% confidence interval [CI], 1.139-2.505; P = 0.009) and OS (HR = 1.664; 95% CI, 1.123-2.466; P = 0.011). Preoperative APPRI > 4.0 was a powerful prognostic predictor of adverse DFS and OS in HCC after surgery. The APPRI may be a promising prognostic marker for HCC after surgical resection.

High level of intercellular adhesion molecule-1 affects prognosis of patients with hepatocellular carcinoma.

AIM: To determine the cut-off value of intercellular adhesion molecule-1 (ICAM-1) and assess the correlation of ICAM-1 with clinicopathological features and the prognosis of hepatocellular carcinoma (HCC) patients who underwent surgical resection. METHODS: We prospectively collected clinicopathological data from 236 HCC patients who had undergone successful hepatectomy. Receiver operating characteristic curve analysis was performed to determine the optimal cut-off value of ICAM-1. Enzyme-linked immunosorbent assay was used to measure the concentration of ICAM-1 in 236 serum samples isolated from HCC patients and the stratified analysis was used to compare the serum level of ICAM-1 in different HCC subgroups. Immunohistochemistry was performed to test the expression level of the ICAM-1 protein in 76 cases of HCC tissues and their adjacent normal liver tissues (ANLT). The survival probability of HCC patients was estimated using Kaplan-Meier plots and differences between the groups were obtained using the log-rank test. Furthermore, independent indicators of the prognosis were acquired using a stepwise Cox proportional hazard model to analyze a series of predictors that were associated with disease-free survival (DFS) and overall survival (OS) in HCC patients. RESULTS: Our findings suggested that ICAM-1 promotes HCC metastasis and high serum ICAM-1 is significantly associated with alpha-fetoprotein (AFP) (P = 0.022), clinical tumor-node-metastasis stage (P < 0.001), portal vein tumor thrombus (P = 0.005), distant metastasis (P = 0.016) and recurrence (P = 0.034). We further detected the ICAM-1 protein in HCC specimens and found that 56 of 76 (73.7%) HCC tissues had ICAM-1 positive staining while only 23 of 76 (30.3%) ANLT were positively stained (P < 0.0001). Survival analysis indicated that HCC patients with increased ICAM-1 concentrations had significantly shorter DFS and OS after resection. A multivariate analysis showed that ICAM-1 > 684 ng/mL was an independent factor for DFS (HR = 1.643; 95%CI: 1.125-2.401; P = 0.010) and OS (HR = 1.692; 95%CI: 1.152-2.486; P = 0.007). CONCLUSION: ICAM-1 may be a promising serological biomarker for HCC diagnosis and an independent predictor of DFS and OS after surgical resection and may provide a useful reference for the prediction of intra- and extrahepatic metastasis.

DEP domain containing 1 is a novel diagnostic marker and prognostic predictor for hepatocellular carcinoma.

BACKGROUND: This study was conducted to determine DEPDC1 expression in hepatocelluar carcinomas (HCCs) and to reveal its potential role in diagnosis and prognosis of affected patients. MATERIALS AND METHODS: DEPDC1 expression at the mRNA level was detected by quantitative real-time PCR (qRT-PCR) in 205 cases of HCC and paired adjacent normal liver tissues, and by semi-quantitative RT-PCR in 20 cases. Survival curves were obtained by using Kaplan-Meier method and Log-rank test. Independent predictors associated with regard to disease free survival (DFS) and overall survival (OS) were identified using the Cox proportional hazard model. RESULTS: High DEPDC1 mRNA levels were detected in 144 out of 205 cases (70.24%) of HCC, significantly associated with clinicopathological parameters, including tumor size (≥4cm), alpha-fetoprotein (≥100ng/ml), B-C of BCLC stage and recurrence. Kaplan-Meier survival analysis revealed that HCC patients with high DEPDC1 expression had poor OS and DFS. Multivariate analysis demonstrated that high DEPDC1 expression was an independent predictor of OS (HR=1.651; 95% 95%CI, 1.041- 2.617; p=0.033) and DFS (HR=1.583; 95%CI, 1.01- 2.483; p=0.045). CONCLUSIONS: Our results indicate DEPDC1 might be a novel diagnostic marker and an independent prognostic predictor for HCC patients.

[The inhibitory effect of RNA interference on STAT3 expression in liver cancer cell line SMMC7721].

AIM: To investigate the chemosensitivity small interfering RNA (siRNA) on liver cancer cell line SMMC7721. METHODS: The siRNA sequences design based on signal transducers and activators of transcription 3 (STAT3) gene, siRNA were transfected into SMMC7721 cells through liposome lipofectamine(TM); 2000. The expression inhibition of STAT3 gene in SMMC7721 cells was measured by real-time relative quantitative PCR. The cells growth inhibition rate were measured by MTT colorimetry after 10 µmol/L 5-fluorouracil (5-Fu) action. RESULTS: The siRNA expression vector to aim directly at STAT3 gene was constructed successfully. The result of real-time PCR revealed that specificity siRNA were transfected into SMMC7721 cells could inhibit the expression of STAT3 gene. STAT3 gene in SMMC7721 cells were specialty and effectually inhibit the expression by RNA interference (RNAi). MTT colorimetry detection result revealed that SMMC7721 cells inhibition rate significantly increasing after siRNA action. CONCLUSION: The siRNA expression vector can active inhibit expression of STAT3 gene in SMMC7721 cells, enhance its sensitivity to chemotherapeutics 5-Fu, to provide experiment based on for the biological therapy of tumor.

Regulatory T cell depletion enhances tumor specific CD8 T-cell responses, elicited by tumor antigen NY-ESO-1b in hepatocellular carcinoma patients, in vitro.

Immunotherapy in hepatocellular carcinoma based on one or a few tumor specific antigens have shown limited antitumor efficacy. As a major suppressive factor in tumor immune response, better understanding of the role of regulatory T cells (Tregs) in hepatocellular carcinoma might be important for design of future immunotherapy-based clinical protocols. Tregs from 49 HCC patients and 40 controls were identified by flow cytometric analysis for the phenotype. Functional studies were performed by analyzing their inhibition to immune responses. Finally investigating whether elimination of Tregs was capable of enhancing the immunostimulatory efficacy of NY-ESO-1b peptides. In HCC peripheral blood and tumor-infiltrating lymphocytes, we found increased numbers of Tregs, which expressed high levels of HLA-DR, GITR and CD103. The prevalence of Tregs increased with during progressive stages in HCC patients. Moreover, the elimination of Treg cells followed by stimulating with NY-ESO-1b peptide significantly improved the anti-tumor cytotoxic T lymphocytes responses in HCC patients compared with stimulating with NY-ESO-1b peptide alone. The immune response efficiency increased from 37.5 to 62.5%. In conclusion, the increase in frequency of Treg cells might play a role in suppression of the immune response against HCC and for the design of immunotherapy the incorporation of the Treg cell depletion strategy will achieve potent anti-tumor immunity with therapeutic impact.