Development and validation of epigenetic modification-related signals for the diagnosis and prognosis of colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) is one of the world's most common malignancies. Epigenetics is the study of heritable changes in characteristics beyond the DNA sequence. Epigenetic information is essential for maintaining specific expression patterns of genes and the normal development of individuals, and disorders of epigenetic modifications may alter the expression of oncogenes and tumor suppressor genes and affect the development of cancer. This study elucidates the relationship between epigenetics and the prognosis of CRC patients by developing a predictive model to explore the potential value of epigenetics in the treatment of CRC. METHODS: Gene expression data of CRC patients' tumor tissue and controls were downloaded from GEO database. Combined with the 720 epigenetic-related genes (ERGs) downloaded from EpiFactors database, prognosis-related epigenetic genes were selected by univariate cox and LASSO analyses. The Kaplan-Meier and ROC curve were used to analyze the accuracy of the model. Data of 238 CRC samples with survival data downloaded from the GSE17538 were used for validation. Finally, the risk model is combined with the clinical characteristics of CRC patients to perform univariate and multivariate cox regression analysis to obtain independent risk factors and draw nomogram. Then we evaluated the accuracy of its prediction by calibration curves. RESULTS: A total of 2906 differentially expressed genes (DEGs) were identified between CRC and control samples. After overlapping DEGs with 720 ERGs, 56 epigenetic-related DEGs (DEERGs) were identified. Combining univariate and LASSO regression analysis, the 8 epigenetic-related genes-based risk score model of CRC was established. The ROC curves and survival difference of high and low risk groups revealed the good performance of the risk score model based on prognostic biomarkers in both training and validation sets. A nomogram with good performance to predict the survival of CRC patients were established based on age, NM stage and risk score. The calibration curves showed that the prognostic model had good predictive performance. CONCLUSION: In this study, an epigenetically relevant 8-gene signature was constructed that can effectively predict the prognosis of CRC patients and provide potential directions for targeted therapies for CRC.

Identification of novel prognostic biomarkers by integrating multi-omics data in gastric cancer.

BACKGROUND: Gastric cancer is a fatal gastrointestinal cancer with high morbidity and poor prognosis. The dismal 5-year survival rate warrants reliable biomarkers to assess and improve the prognosis of gastric cancer. Distinguishing driver mutations that are required for the cancer phenotype from passenger mutations poses a formidable challenge for cancer genomics. METHODS: We integrated the multi-omics data of 293 primary gastric cancer patients from The Cancer Genome Atlas (TCGA) to identify key driver genes by establishing a prognostic model of the patients. Analyzing both copy number alteration and somatic mutation data helped us to comprehensively reveal molecular markers of genomic variation. Integrating the transcription level of genes provided a unique perspective for us to discover dysregulated factors in transcriptional regulation. RESULTS: We comprehensively identified 31 molecular markers of genomic variation. For instance, the copy number alteration of WASHC5 (also known as KIAA0196) frequently occurred in gastric cancer patients, which cannot be discovered using traditional methods based on significant mutations. Furthermore, we revealed that several dysregulation factors played a hub regulatory role in the process of biological metabolism based on dysregulation networks. Cancer hallmark and functional enrichment analysis showed that these key driver (KD) genes played a vital role in regulating programmed cell death. The drug response patterns and transcriptional signatures of KD genes reflected their clinical application value. CONCLUSIONS: These findings indicated that KD genes could serve as novel prognostic biomarkers for further research on the pathogenesis of gastric cancers. Our study elucidated a multidimensional and comprehensive genomic landscape and highlighted the molecular complexity of GC.

Real-World Effectiveness of Direct-Acting Antiviral Regimens against Hepatitis C Virus (HCV) Genotype 3 Infection: A Systematic Review and Meta-Analysis.

Patients with hepatitis C virus (HCV) genotype 3 (GT3) infection are resistant to direct-acting antiviral (DAA) treatments. This study aimed to analyze the effectiveness of sofosbuvir (SOF)+daclatasvir (DCV) ± ribavirin (RBV); SOF+velpatasvir (VEL)±RBV; SOF+VEL+voxilaprevir (VOX); and glecaprevir (GLE)+pibrentasvir (PIB) in the treatment of HCV GT3-infected patients in real-world studies. Articles were identified by searching the PubMed, EMBASE, and Cochrane Library databases from January 1, 2016 to September 10, 2019. The meta-analysis was conducted to determine the sustained virologic response (SVR) rate, using R 3.6.2 software. Thirty-four studies, conducted on a total of 7328 patients from 22 countries, met the inclusion criteria. The pooled SVR rate after 12/24 weeks of treatment was 92.07% (95% CI: 90.39-93.61%) for the evaluated regimens. Also, the SVR rate was 91.17% (95% CI: 89.23-92.94%) in patients treated with SOF+DCV±RBV; 95.08% (95% CI: 90.88-98.13%) in patients treated with SOF+VEL±RBV; 84.97% (95% CI: 73.32-93.91%) in patients treated with SOF+VEL+VOX; and 98.54% (95% CI: 96.40-99.82%) in patients treated with GLE+PIB. The pooled SVR rate of the four regimens was 95.24% (95% CI: 93.50-96.75%) in non-cirrhotic patients and 89.39% (95% CI: 86.07-92.33%) in cirrhotic patients. The pooled SVR rate was 94.41% (95% CI: 92.02-96.42%) in treatment-naive patients and 87.98% (95% CI: 84.31-91.25%) in treatment-experienced patients. The SVR rate of GLE+PIB was higher than other regimens. SOF+VEL+VOX can be used as a treatment regimen following DAA treatment failure.

Clinical Characteristics and Risk Factors of Acute Respiratory Distress Syndrome (ARDS) in COVID-19 Patients in Beijing, China: A Retrospective Study.

BACKGROUND Coronavirus disease 2019 (COVID-19) is a new infectious disease, and acute respiratory syndrome (ARDS) plays an important role in the process of disease aggravation. The detailed clinical course and risk factors of ARDS have not been well described. MATERIAL AND METHODS We retrospectively investigated the demographic, clinical, and laboratory data of adult confirmed cases of COVID-19 in Beijing Ditan Hospital from Jan 20 to Feb 29, 2020 and compared the differences between ARDS cases and non-ARDS cases. Univariate and multivariate logistic regression methods were employed to explore the risk factors associated with ARDS. RESULTS Of the 130 adult patients enrolled in this study, the median age was 46.5 (34-62) years and 76 (58.5%) were male. ARDS developed in 26 (20.0%) and 1 (0.8%) death occurred. Fever occurred in 114 patients, with a median highest temperature of 38.5 (38-39)°C and median fever duration of 8 (3-11) days. The median time from illness onset to ARDS was 10 (6-13) days, the median time to chest CT improvement was 17 (14-21) days, and median time to negative nucleic acid test result was 27 (17-33) days. Multivariate regression analysis showed increasing odds of ARDS associated with age older than 65 years (OR=4.75, 95% CL1.26-17.89, P=0.021), lymphocyte counts [0.5-1×109/L (OR=8.80, 95% CL 2.22-34.99, P=0.002); <0.5×109/L(OR=36.23, 95% CL 4.63-2083.48, P=0.001)], and temperature peak ≥39.1°C (OR=5.35, 95% CL 1.38-20.76, P=0.015). CONCLUSIONS ARDS tended to occur in the second week of the disease course. Potential risk factors for ARDS were older age (>65 years), lymphopenia (≤1.0×109/L), and temperature peak (≥39.1°C). These findings could help clinicians to predict which patients will have a poor prognosis at an early stage.

Gene expression profiling reveals key genes and pathways related to the development of non-alcoholic fatty liver disease.

UNLABELLED:  Background. This study aims to identify key genes and pathways involved in non-alcoholic fatty liver disease (NAFLD). MATERIAL AND METHODS: The dataset GSE48452 was downloaded from Gene Expression Omnibus, including 14 control liver samples, 27 healthy obese samples, 14 steatosis samples and 18 nonalcoholic steatohepatitis (NASH) samples. Differentially expressed genes (DEGs) between controls and other samples were screened through LIMMA package. Then pathway enrichment analysis for DEGs was performed by using DAVID, and alterations of enriched pathways were determined. Furthermore, protein-protein interaction (PPI) networks were constructed based on the PPI information from HPRD database, and then, networks were visualized through Cytoscape. Additionally, interactions between microRNAs (miRNAs) and pathways were analyzed via Fisher's exact test. RESULTS: A total of 505, 814 and 783 DEGs were identified for healthy obese, steatosis and NASH samples in comparison with controls, respectively. DEGs were enriched in ribosome (RPL36A, RPL14, etc.), ubiquitin mediated proteolysis (UBE2A, UBA7, etc.), focal adhesion (PRKCA, EGFR, CDC42, VEGFA, etc.), Fc?R-mediated phagocytosis (PRKCA, CDC42, etc.), and so on. The 27 enriched pathways gradually deviated from baseline (namely, controls) along with the changes of obese-steatosis-NASH. In PPI networks, PRKCA interacted with EGFR and CDC42. Besides, hsa-miR-330-3p and hsa-miR-126 modulated focal adhesion through targeting VEGFA and CDC42. CONCLUSIONS: The identified DEGs (PRKCA, EGFR, CDC42, VEGFA), disturbed pathways (ribosome, ubiquitin mediated proteolysis, focal adhesion, Fc?R-mediated phagocytosis, etc.) and miRNAs (hsa-miR-330-3p, hsa-miR-126, etc.) might be closely related to NAFLD progression. These results might contribute to understanding NAFLD mechanism, conducting experimental researches, and designing clinical practices.

Blocking autophagy enhances the apoptosis effect of bufalin on human hepatocellular carcinoma cells through endoplasmic reticulum stress and JNK activation.

Bufalin extracts are a part of traditional Chinese medicine, Chansu. In the current study, we investigated the effect of bufalin on the proliferation of the human hepatocellular carcinoma (HCC) cell lines, Huh-7 and HepG-2, and explored the therapeutic potential of the drug. Our results demonstrated that bufalin markedly inhibited cell proliferation and promoted apoptosis in the Huh-7 and HepG-2 cells in vitro. The underlying mechanism of the bufalin-induced apoptosis was the induction of endoplasmic reticulum (ER) stress via the IRE1-JNK pathway. In addition, during the ER stress response, the autophagy pathway, characterized by the conversion of LC3-I to LC3-II, was activated, resulting in increased Beclin-1 protein levels, decreased p62 expression and stimulation of autophagic flux. Our data supported the pro-survival role of bufalin-induced autophagy when the autophagy pathway was blocked with specific chemical inhibitors; the involvement of the IRE1 pathway in the ER stress-induced autophagy was also demonstrated when the expression of IRE1 and CHOP was silenced using siRNA. These data indicate that combining bufalin with a specific autophagy inhibitor could be a promising therapeutic approach for the treatment of HCC.

Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach.

Pancreatic cancer is a uniformly lethal disease that can be difficult to diagnose at its early stage. Thus, our present study aimed to explore the underlying mechanism and identify new targets for this disease. The data GSE16515, including 36 tumor and 16 normal samples were available from Gene Expression Omnibus. Differentially expressed genes (DEGs) were screened out using Robust Multichip Averaging and LIMMA package. Moreover, gene ontology and pathway enrichment analyses were performed to DEGs. Followed with protein-protein interaction (PPI) network construction by STRING and Cytoscape, module analysis was conducted using ClusterONE. Finally, based on PubMed, text mining about these DEGs was carried out. Total 274 up-regulated and 93 down-regulated genes were identified as the common DEGs and these genes were discovered significantly enriched in cell adhesion and extracellular region terms, as well as ECM-receptor interaction pathway. In addition, five modules were screened out from the up-regulated PPI network with none in down-regulated network. Finally, the up-regulated genes, including MIA, MET and CEACAMS, and down-regulated genes, such as FGF, INS and LAPP, had the most references in text mining analysis. Our findings demonstrate that the up- and down-regulated genes play important roles in pancreatic cancer development and might be new targets for the therapy.

Construction of pancreatic cancer double-factor regulatory network based on chip data on the transcriptional level.

Transcription factor (TF) and microRNA (miRNA) have been discovered playing crucial roles in cancer development. However, the effect of TFs and miRNAs in pancreatic cancer pathogenesis remains vague. We attempted to reveal the possible mechanism of pancreatic cancer based on transcription level. Using GSE16515 datasets downloaded from gene expression omnibus database, we first identified the differentially expressed genes (DEGs) in pancreatic cancer by the limma package in R. Then the DEGs were mapped into DAVID to conduct the kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. TFs and miRNAs that DEGs significantly enriched were identified by Fisher's test, and then the pancreatic cancer double-factor regulatory network was constructed. In our study, total 1117 DEGs were identified and they significantly enriched in 4 KEGG pathways. A double-factor regulatory network was established, including 29 DEGs, 24 TFs, 25 miRNAs. In the network, LAMC2, BRIP1 and miR155 were identified which may be involved in pancreatic cancer development. In conclusion, the double-factor regulatory network was found to play an important role in pancreatic cancer progression and our results shed new light on the molecular mechanism of pancreatic cancer.

Multivariate prognostic study on node-positive gastric cancer: is tumor size a prognostic indicator?

BACKGROUND/AIMS: We analyzed the clinicopathological factors of patients with node-positive gastric cancer, evaluated the prognostic factors associated with long-term survival and clarified the effect of tumor size on long-term survival. METHODOLOGY: The study included 591 patients who underwent curative resection for node-positive gastric cancer. Clinicopathological prognostic variables were evaluated as predictors of long-term survival by univariate and multivariate analyses. RESULTS: The 5-year survival rate was influenced by tumor size, tumor location, depth on invasion, level of lymph node metastasis, Borrmann classification, histological type, liver metastasis, peritoneal dissemination and disease stage. Of these, independent prognostic factors were depth on invasion and lymph node metastasis. Tumor size is an influence but not independent factor for the prediction of long-term survival in patients with node-positive gastric cancer. CONCLUSIONS: In patients with node-positive gastric cancer, two independent prognostic factors were depth on invasion and the status of lymph node metastasis.

Kinetic control of Phytic acid/Lixisenatide/Fe (III) ternary nanoparticles assembly process for sustained peptide release.

The preferable choice of sustained peptide delivery systems is generally polymer-based microspheres in which their large particle size, wide size distribution, low drug encapsulation efficacy, poor colloidal stability, and undesirable burst release eventually hinder their clinical translation. In this study, a nanoscale ternary Lixisenatide (Lix) sustained delivery system based on strong multivalent interactions (electrostatic and coordination complexation) among small molecular phytic acid (PA), Lix and Fe3+ was developed. Flash nanocomplexation (FNC) was utilized to facilitate the rapid and efficient mixing of the three components and kinetically control the assembly process that enabled dynamic balance of two competitive chemical reactions with different kinetic rates (slow chemical reaction of PA/Lix and fast chemical reaction of PA/Fe3+) to generate structural uniform ternary nanoparticles and avoid heterogeneous complexes. By tuning the mixing conditions (i.e., flow rate, mass ratio, concentration, pH value, etc.), the ternary PA/Lix/Fe3+ nanoparticles were assembled with reproducible production in a manner of high uniformity and scalability, achieving small size (∼50 nm), uniform composition (PDI: ∼0.12), favourable colloidal stability, high encapsulation efficiency (∼100%), and tunable drug release kinetics. The optimized formulation exhibited a minor Lix release (<20%) in the first day and extended peptide release period over 8 days. Unexpectedly, upon a single injection administration, the as-prepared formulation (600 µg/kg) rapidly brought the high BGL (∼30 mmol/L) back to normal range (<10 mmol/L) within the initial 6 h and achieved a 180 h glycemic control in T2D mouse model. Moreover, this sustained peptide delivery system demonstrated a repeatable hypoglycemic effects and significantly suppressed the pathological damage of major organs following multiple injection. This sustained peptide delivery system with aqueous, facile and reproducible preparation process possesses good biocompatibility, tunable release kinetics, and prolonged hypoglycemic effects, portending its great translational potential in the chronic disease treatment.

The negative impact of increasing temperatures on rice yields in southern China.

China is the main producer and consumer of rice in the world, and rice is a major staple food grain for more than half of the world's population. Reduced rice yields caused by climate factors not only affect the food security of China, but also has global repercussions. Thus, it is vital to assess the potential impact of climate warming on rice production. Using daily temperature and phenology records of double-cropping rice from agro-meteorological stations in southern China, the influence of increased temperatures on rice yields during the last several decades was investigated. Associated with an increase in average daily mean temperatures by 0.7 °C during 2009-2018 relative to 1961-1970, Killing Degree Days (KDD), an indicator for damaging high temperature, for early and late rice increased by 110% and 88.6% respectively. However, the negative influence of KDDs on yields was mainly evident for early rice, because high temperatures occurred frequently during the sensitive grain-filling period; early-rice yields showed a decrease of 8% per 1 °C increase in mean growing season air temperature. Late rice yields, on the other hand, were not as negatively influenced by increasing temperatures as early rice, because high temperature usually occurred during the vegetative growth stage, which was not so sensitive to high temperature.

Confined Channels Induced Coalescence Demulsification and Slippery Interfaces Constructed Fouling Resist-Release for Long-Lasting Oil/Water Separation.

Superwetting membranes based on steric exclusion and affinity difference have drawn substantial interest for oil/water separation. However, the state-of-the-art membranes fail to literally sort out fouling and permeability decline and so limit their viability for long-term separation. Inspired by Dayu's philosophy of "draining rather than blocking water", herein, we achieve a long-lasting and efficient separation for viscous emulsions by designing poly(hydroxyethyl methylacrylate) (PHEMA)- and polydimethylsiloxane (PDMS)-compensated poly(vinylidene fluoride) membranes based on coalescence demulsification via chemical coordination phase separation. The symmetric and torturous microporous structure facilitated oil spatial confining and coalescence demulsification, while the synergistic compensation of PHEMA and PDMS coordinated the fouling resist and release properties, which was confirmed by multichannel confocal laser scanning microscopy. The developed membrane shows an unprecedented permeability half-life (τ) for viscous emulsions (e.g., decamethylcyclopentasiloxane, soybean oil paraffin, n-hexadecane, and isooctane) under cross-flow operation, far more beyond common superwetting membranes under applied bench-scale dead-end filtration. Our technique for designing "nonfouling" membranes opens up opportunities for advancing next-generation membranes for oil/water separation.

First Case of Coronavirus Disease 2019 in Childhood Leukemia in China.

We report the first case of coronavirus disease 2019 (COVID-19) comorbid with leukemia in a patient hospitalized in Beijing, China. The patient showed a prolonged manifestation of symptoms and a protracted diagnosis period of COVID-19. It is necessary to extend isolation time, increase the number of nucleic acid detections and conduct early symptomatic treatment for children with both COVID-19 and additional health problems.

Management of Diabetes Mellitus in Patients with Chronic Liver Diseases.

Diabetes mellitus (DM) is a common chronic disease affecting humans globally. During the last few years, the incidence of diabetes has increased and has received more attention. In addition to growing DM populations, DM complications are involving injuries to more organs, such as the heart and cerebral vessel damage. DM complications can reduce quality of life and shorten life spans and eventually also impede social and economic development. Therefore, effective measures to curb the occurrence and development of diabetes assist in improving patients' quality of life, delay the progression of DM in the population, and ease a social burden. The liver is regarded as an important link in the management and control of DM, including the alleviation of glucose metabolism and lipid metabolism and others via glucose storage and endogenous glucose generation from glycogen stored in the liver. Liver cirrhosis is a very common chronic disease, which often lowers the quality of life and decreases life expectancy. According to a growing body of research, diabetes shows a close correlation with hepatitis, liver cirrhosis, and liver cancer. Moreover, coexistence of liver complications would accelerate the deterioration of patients with diabetes. Liver cirrhosis and diabetes influence each other. Thus, in addition to pharmacological treatments and lifestyle interventions, effective control of cirrhosis might assist in a better management of diabetes. When it comes to different etiologies of liver cirrhosis, different therapeutic methods, such as antiviral treatment, may be more effective. Effective control of cirrhosis might be a strategy for better management of diabetes.

Effects of antiviral agents and HBV genotypes on intrahepatic covalently closed circular DNA in HBeAg-positive chronic hepatitis B patients.

AIM: To evaluate the effects of antiviral agents and HBV genotypes on intrahepatic covalently closed circular DNA (ccc DNA) in HBeAg-positive chronic hepatitis B patients. METHODS: Seventy-one patients received lamivudine (n = 35), or sequential therapy with lamivudine- interferon alpha 2b (IFN-alpha 2b, n = 24) for 48 wk, or IFN-alpha 2b (n = 12) for 24 wk. All subjects were followed up for 24 wk. Intrahepatic ccc DNA was measured quantitatively by PCR. HBV genotypes were analyzed by PCR-RFLP. RESULTS: Sequential lamivudine- INF-alpha therapy, lamivudine and INF-alpha monotherapy reduced ccc DNA of 1.7 log, 1.4 log and 0.8 log, respectively (P < 0.05). Seventeen out of the 71 patients developed HBeAg seroconversion, the reduction of ccc DNA in the HBeAg seroconversion patients was more significant than that in the HBeAg positive patients (3.0 log vs 1.6 log, P = 0.0407). Twenty-four weeks after antiviral therapy withdrawal, 16 patients had a sustained virological response, the baseline intrahepatic ccc DNA in the patients with a sustained virological response was significantly lower than that in the patients with virological rebound (4.6 log vs 5.4 log, P = 0.0472). HBV genotype C accounted for 85.9% (n = 61), and genotype B for 14.1% (n = 10), respectively, in the 71 patients. There was no significant difference in the change of ccc DNA level between HBV genotypes C and B (2.1 log vs 1.9 log). CONCLUSION: Forty-eight week sequential lamivudine-INF-alpha therapy and lamivudine monotherapy reduce ccc DNA more significantly than 24-wk INF-alpha monotherapy. Low baseline intrahepatic ccc DNA level may predict the long-term efficacy of antiviral treatment. HBV genotypes C and B have no obvious influence on ccc DNA load.

[Effects of antiviral agents on intrahepatic ccc DNA in HBeAg-positive chronic hepatitis B patients].

OBJECTIVE: To evaluate the effects of antiviral agents on intrahepatic HBV covalently closed circular DNA (cccDNA) in HBeAg-positive chronic hepatitis B patients. METHODS: Seventy-one HBeAg positive chronic hepatitis B patients were enrolled in this study. Lamivudine was administered to 35 patients for 48 weeks, sequential therapy with lamivudine-IFN alpha-2b to 24 of the 71 patients for 48 weeks, and interferon alpha (IFN alpha-2b) was administered to 12 for 24 weeks. All subjects were followed-up for 24 weeks. Serum HBV DNA, intrahepatic HBV DNA and cccDNA were measured quantitatively by PCR. HBV genotypes were analyzed by PCR-RFLP. RESULTS: Forty-eight weeks of sequential lamivudine-IFN alpha-therapy and lamivudine monotherapy and 24 weeks of IFN alpha monotherapy reduced the intrahepatic HBV DNA to (4.7+/-1.1) log10, (4.6+/-1.5) log10 and (5.6+/-1.5) log10, and cccDNA to (3.4+/-1.3) log10, (3.8+/-1.1) log10 and (5.0+/-1.5) log10, significantly lower than therapy (P < 0.05). Seventeen of the 71 patients developed HBeAg seroconversion, and the reduction of cccDNA in the HBeAg seroconverted patients was significantly more than that of the HBeAg positive patients (P < 0.05). After 24 weeks of antiviral therapy withdrawal, 18 patients achieved sustained virological response, and the baseline intrahepatic cccDNA in the patients with sustained virological response was significantly lower than that of patients with virological rebound (P < 0.05). The change in intrahepatic cccDNA correlated positively with the reduction in intrahepatic HBV DNA (P < 0.05). The cccDNA levels correlated with the serum HBeAg titers at the end of the treatment (P < 0.01). Of the total 71 cases, HBV genotype C accounted for 85.9% (n = 61), and genotype B for 14.1% (n = 10). There was no significant difference in the changes of intrahepatic HBV DNA and cccDNA levels between HBV genotypes C and B (P >0.05). CONCLUSIONS: Both 48 weeks of sequential lamivudine-IFN alpha and lamivudine monotherapy strongly reduced intrahepatic HBV DNA and cccDNA more than 24 weeks of IFN alpha monotherapy. Low baseline intrahepatic cccDNA levels might predict a good long-term efficacy of antiviral treatment. The reduction of intrahepatic cccDNA correlated positively with the changes of intrahepatic HBV DNA, and intrahepatic cccDNA levels correlated with serum HBeAg titers. HBV genotypes had no obvious influence on intrahepatic HBV DNA load or cccDNA load.

Intrahepatic HBV DNA as a predictor of antivirus treatment efficacy in HBeAg-positive chronic hepatitis B patients.

AIM: To evaluate the effect of antiviral agents on intrahepatic HBV DNA in HBeAg-positive chronic hepatitis B patients. METHODS: Seventy-one patients received treatment with lamivudine, interferon alpha (IFN-alpha 2b) or sequential therapy with lamivudine-IFN-alpha 2b for 48 wk. All subjects were followed up for 24 wk. Serum and intrahepatic HBV DNA were measured quantitatively by PCR. HBV genotypes were analyzed by PCR-RFLP. RESULTS: At the end of treatment, the intrahepatic HBV DNA level in 71 patients decreased from a mean of (6.1 +/- 1.0) log10 to (4.9 +/- 1.4) log10. Further, a larger decrease was seen in the intrahepatic HBV DNA level in patients with HBeAg seroconversion. Intrahepatic HBV DNA level (before and after treatment) was not significantly affected by the patients' HBV genotype, or by the probability of virological flare after treatment. CONCLUSION: Intrahepatic HBV DNA can be effectively lowered by antiviral agents and is a significant marker for monitoring antivirus treatment. Low intrahepatic HBV DNA level may achieve better efficacy of antivirus treatment.

Bufalin reverses intrinsic and acquired drug resistance to cisplatin through the AKT signaling pathway in gastric cancer cells.

Cisplatin is the most common chemotherapeutic agent for gastric cancer (GC), however it activates AKT, which contributes to intrinsic and acquired resistance. Bufalin, a traditional Chinese medicine, shows significant anticancer activity by inhibiting the AKT pathway. It was therefore hypothesized that bufalin could counteract cisplatin resistance in GC cells. SGC7901, MKN­45 and BGC823 human GC cells were cultured under normoxic and hypoxic conditions. Effects of cisplatin and bufalin on GC cells were measured by a cell counting kit, apoptosis was analyzed by flow cytometry, and immunoblotting was used to detect proteins associated with the AKT signaling pathway. It was demonstrated that bufalin synergized with cisplatin to inhibit proliferation and promote apoptosis of GC cells by diminishing the activation of cisplatin-induced AKT under normoxic and hypoxic conditions. Bufalin also inhibits cisplatin-activated molecules downstream of AKT that affect proliferation and apoptosis, including glycogen synthase kinase, mammalian target of rapamycin, ribosomal protein S6 Kinase and eukaryotic translation initiation factor-4E-binding protein-1. To investigate acquired cisplatin resistance, a cisplatin­resistant cell line SGC7901­CR was used. It was demonstrated that bufalin reversed acquired cisplatin resistance and significantly induced apoptosis through the AKT pathway. These results imply that bufalin could extend the therapeutic effect of cisplatin on GC cells when administered in combination.

Inhibition effect of miR-577 on hepatocellular carcinoma cell growth via targeting ß-catenin.

OBJECTIVE: To investigate the expression and the regulation effect of cell growth of microRNA-577 in hepatocellular carcinoma (HCC). METHODS: qRT-PCR was applied to detect the relative expression of miR-577 in 70 paired HCC and matched tumor adjacent tissues collecting from resection between March 2011 and March 2014. Pearson chi-square test was used to analyze the relationship between the miR-577 expression and clinical features. The miR-577 mimics were transfected into HepG2 cells; cell cycles were detected by flow cytometry, cell proliferation was measured by MTT assay and BrdU incorporation assay, and cell apoptosis was determined by flow cytometry and caspase3/7 activity analysis. The expressions of ß-catenin were measured by immunohistochemistry. Spearman correlation analysis was used to analyze the relationship between miR-577 and ß-catenin. qRT-PCR and western-blot were used to detect the expression of ß-catenin in transfected HepG2 cells. RESULTS: The relative expressions of miR-577 was significantly lower in HCC tissues compared to the matched normal tumor-adjacent tissues (P < 0.05). Low expression of miR-577 was significantly associated with large tumor size (≥5 cm, P < 0.05) and advanced tumor node metastasis stage (III+IV, P < 0.05). Transfection of miR-577 mimics could inhibit repress cell proliferation, enhance cell apoptosis and block the cell cycles in G0/G1 phase (P < 0.05). miR-577 in HCC group had a significant negative correlation relationship with the expression of downstream target of ß-catenin (P < 0.05). Both the mRNA and protein expression in HepG2 cells were down-regulated after transfection (P < 0.05). CONCLUSIONS: Low expression of miR-577 is related to the malignant clinicopathological features in HCC tissues, and miR-577 may suppress HCC growth through down-regulating ß-catenin.