The impact of illness perception on medication adherence to inhaler therapy in elderly individuals with COPD.

Background: Medication adherence to inhaler therapy is pivotal for optimizing the management of Chronic Obstructive Pulmonary Disease (COPD). Individuals with COPD often have suboptimal adherence behaviors to inhaler therapy. Illness perception and beliefs about medicines have been proved to be associated with medication adherence. Nevertheless, the influence of illness perception and medication beliefs on adherence to inhaler therapy among elderly individuals with COPD in China remains unclear.Methods: A cross-sectional study was conducted on 252 elderly COPD participants in China from June 2022 to September 2023. The Test of Adherence to Inhalers (TAI), the Brief Illness Perception Questionnaire (B-IPQ) and the Belief about Medicines Questionnaire (BMQ) were utilized. Spearman correlations, regression analysis and parallel mediation analysis were employed to assess the correlations and mediating effects among beliefs about medicines, illness perception, and medication adherence to inhaler therapy.Results: Medication adherence to inhaler therapy exhibited a negative correlation with concerns beliefs, while showing positive correlations with illness perception, necessity beliefs and total BMQ scores. Mediating effects of concerns beliefs and necessity beliefs were observed in the relationship between perception of illness and medication adherence to inhaler therapy.Conclusions: This study suggests that essential interventions targeting beliefs about medicines in elderly individuals with COPD should be implemented to optimize the level of their inhaler adherence, particularly in those with low levels of necessity beliefs or high levels of concerns beliefs.

Prognostic significance and immune characteristics of APOE in gastric cancer.

Gastric cancer (GC) is a prevalent malignancy affecting the digestive system, and it is the second leading cause of cancer-related mortality worldwide. Immunotherapy presents a potential lifeline for patients with advanced gastric cancer, emphasizing the need to find new molecular targets that improve the response to immunotherapy. In our research, we conducted a comprehensive bioinformatic analysis to investigate the expression profiles of apolipoprotein E (APOE) transcription. Subsequently, we examined the correlation between APOE transcription and the prognosis of GC patients. Additionally, we evaluated the connection between APOE transcription and immune cells abundance. To validate our findings, we conducted immunohistochemistry experiment to ascertain the level of APOE protein in GC patients and assessed its prognostic role in a cohort of 97 GC individuals. Our results revealed that APOE is increased in GC tissues, and APOE displays diagnostic potential in distinguishing GC from normal tissues. Notably, upregulated APOE expression in GC patients is associated with unfavorable overall survival. Differential APOE expression was further observed across different immune subtypes of GC, indicating its involvement in immune cell activation and infiltration. Moreover, we detected increased APOE protein expression in GC tissues, which exhibited a strong correlation with poor survival outcomes. In light of these findings, APOE has become a crucial prognostic molecular with immunomodulatory function in GC. These results underscore the significance of APOE across various cancer types, including GC, and provide valuable insights into its role from both a bioinformatics and clinical perspective.

Prediction of HER2 status via random forest in 3257 Chinese patients with gastric cancer.

The accurate evaluation of human epidermal growth factor receptor 2 (HER2) is crucial for successful trastuzumab-based therapy in individuals with gastric cancer (GC). The present study, involving a retrospective cohort (N = 2865) from Wuhan Union Hospital and a prospective cohort (N = 392) from Renmin Hospital of Wuhan University, evaluated the benefits of clinical features using random forest and logistic regression models for the detection of HER2 status in patients with GC. Patients from the Union cohort were randomly assigned to either a training (N = 2005) or an internal validation (N = 860) group. Data processing and feature selection were done in Python, which was also used to build random forest and logistic regression models for the prediction of HER2 overexpression. The Renmin cohort (N = 392) was used as the external validation group. Ten features were closely correlated with HER2 overexpression, including age, albumin/globulin ratio, globulin, activated partial thromboplastin time, tumor stage, node stage, tumor node metastasis stage, tumor size, tumor differentiation, and neuron-specific enolase (NSE). Random forest and logistic regression had areas under the curve (AUC) of 0.9995 and 0.6653 in the training group and 0.923 and 0.667 in the internal validation group, respectively. When the two predictive models were validated using data from the Renmin cohort, random forest and logistic regression had AUCs of 0.9994 and 0.627, respectively. This is the first multicenter study to predict HER2 overexpression in individuals with GC, based on clinical variables. The random forest model significantly outperformed the logistic regression model.

Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit.

BACKGROUNDS: The in-hospital mortality in lung cancer patients admitted to intensive care unit (ICU) is extremely high. This study intended to adopt machine learning algorithm models to predict in-hospital mortality of critically ill lung cancer for providing relative information in clinical decision-making. METHODS: Data were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) for a training cohort and data extracted from the Medical Information Mart for eICU Collaborative Research Database (eICU-CRD) database for a validation cohort. Logistic regression, random forest, decision tree, light gradient boosting machine (LightGBM), eXtreme gradient boosting (XGBoost), and an ensemble (random forest+LightGBM+XGBoost) model were used for prediction of in-hospital mortality and important feature extraction. The AUC (area under receiver operating curve), accuracy, F1 score and recall were used to evaluate the predictive performance of each model. Shapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance of each feature. RESULTS: Overall, there were 653 (24.8%) in-hospital mortality in the training cohort, and 523 (21.7%) in-hospital mortality in the validation cohort. Among the six machine learning models, the ensemble model achieved the best performance. The top 5 most influential features were the sequential organ failure assessment (SOFA) score, albumin, the oxford acute severity of illness score (OASIS) score, anion gap and bilirubin in random forest and XGBoost model. The SHAP summary plot was used to illustrate the positive or negative effects of the top 15 features attributed to the XGBoost model. CONCLUSION: The ensemble model performed best and might be applied to forecast in-hospital mortality of critically ill lung cancer patients, and the SOFA score was the most important feature in all models. These results might offer valuable and significant reference for ICU clinicians' decision-making in advance.

Prognostic and Clinical Value of the Systemic Immune-Inflammation Index in Biliary Tract Cancer: A Meta-Analysis.

Previous studies that explored the prognostic and clinical value of the systemic immune-inflammation index (SII) in biliary tract cancer (BTC) had inconsistent results. We conducted this meta-analysis to evaluate the prognostic and clinicopathological role of the SII in biliary tract cancer. Combined analysis demonstrated that high SII levels had worse overall survival (HR = 1.92, 95% CI: 1.66-2.21, p < 0.001) than those with low SII levels. And an elevated SII was associated with lymph node metastasis (OR = 1.44, 95% CI = 1.18-1.76; p < 0.001), TNM stage (OR = 1.49, 95% CI = 1.05-2.13; p = 0.028), and vascular invasion (OR = 1.49, 95% CI = 1.05-2.13; p = 0.028). Conversely, no significant association between a high SII and sex or tumor differentiation was found. Our findings demonstrate that high SII levels were correlated with unfavorable survival outcomes among patients with BTC and that they were also correlated with some higher malignancy features of BTC.

APOA1 mRNA and protein in kidney renal clear cell carcinoma correlate with the disease outcome.

Renal cancer is one of the most common malignant tumors with high mortality, and kidney renal clear cell carcinoma (KIRC) is the most common type of renal cancer. We attempted to evaluate the clinical and prognostic significance of Apolipoprotein A1 (APOA1) mRNA and protein in KIRC patients. Clinical data along with RNA-sequencing data were downloaded from UCSC Xena. The Human Protein Atlas database was searched to reveal APOA1 protein expression profiles in KIRC and normal renal tissues. The TIMER database was applied to determine the correlations of APOA1 with immune cells and PD-1 and PD-L1 in KIRC. Ninety-one cases of KIRC patients and 93 healthy controls from our hospital were enrolled for clinical validation. Levels of APOA1 mRNA in KIRC tissues (N = 535) are not only lower than the levels in normal renal tissues (N = 117), but also in paired normal renal tissues (N = 72). High expression of APOA1 mRNA at the time of surgery was correlated with worse overall survival (OS) (HR 1.66; p = 0.037) and disease-free survival (DFS) (HR 1.65; p = 0.047), and APOA1 DNA methylation was linked to worse OS (HR 2.1; p = 0.001) rather than DFS (HR 1.12; p = 0.624) in KIRC patients. Concentrations of preoperative serum APOA1 protein were markedly decreased in KIRC patients compared to healthy controls (p < 0.01), and low levels of APOA1 protein predicted less favorable OS than those with high levels (HR = 2.84, p = 0.0407). APOA1 negatively correlated with various immune cell infiltrates and PD-L1 expression (r = - 0.283, p = 2.74e-11) according to the TIMER database. Low levels of APOA1 mRNA at the time of surgery predict favorable survival in KIRC patients. Our results provide insights to identify a novel prognostic index with great clinical utility.

Calpain2 Upregulation Regulates EMT-Mediated Pancreatic Cancer Metastasis via the Wnt/ß-Catenin Signaling Pathway.

Calpains2 (CAPN2) is a calcium-dependent, non-lysosomal cysteine protease that plays critical roles in normal cellular functions and pathological processes, including tumorigenesis, cancer progression, and metastasis. However, the role and underlying regulatory mechanisms of CAPN2 in pancreatic cancer (PC) are still unknown. We found that CAPN2 is highly expressed in PC tissues and associated with poor PC prognosis by using The Cancer Genome Atlas (TCGA) datasets, Gene Expression Omnibus (GEO) datasets, and PC tissue arrays. CAPN2 downregulation significantly inhibited cell proliferation, migration, and invasion and regulated Wnt/ß-catenin signaling pathway-mediated epithelial-mesenchymal transition (EMT) in PC cells. Our findings highlight the significance of CAPN2 in tumor regression and, thus, indicate that CAPN2 could be a promising target for PC treatment.

Establishment of Prognostic Nomograms for Early-Onset Prostate Cancer Patients: A SEER Database Analysis.

OBJECTIVE: Clinical prostate cancer (PCa) is rare in men aged <50 years (early-onset). A well-designed nomogram for prognosis prediction in patients with early-onset PCa has not been studied. Here, we tried to establish nomogram models of overall survival (OS) and cancer-specific survival (CSS) in patients with early-onset PCa. METHODS: The clinical variables of patients diagnosed with early-onset PCa between 2004 and 2016 were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into training and validation groups at a ratio of 7:3. Multivariate Cox regression analyses were used to select prognostic factors associated with OS or CSS, followed by the construction and validation of nomograms. RESULTS: We enrolled 8259 patients with early-onset PCa. New nomograms were established and showed good discriminative abilities. Finally, ROC curve analysis demonstrated that these nomograms were superior to the TNM stage and Gleason score in predicting both OS and CSS for patients with early-onset PCa. CONCLUSION: This is the first study to establish nomograms with effective and high accuracy for prognosis in patients with early-onset PCa.

Prognostic and Clinical Significance of Aspartate Aminotransferase-to-Lymphocyte Ratio Index in Individuals with Liver Cancer: A Meta-Analysis.

OBJECTIVE: This study was aimed at exploring the prognostic and clinicopathological roles of aspartate aminotransferase-to-lymphocyte ratio index (ALRI) in patients with hepatocellular carcinoma via a meta-analysis. METHODS: The PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and VIP databases were comprehensively searched from inception to November 20, 2021. Pooled hazard ratio (HR) and corresponding 95% confidence interval (CI) were used to evaluate the relationship between ALRI and overall survival (OS) as well as progression-free survival (PFS) in patients with hepatocellular carcinoma. Odds ratio (OR) and the corresponding 95% CI were also used to investigate correlations between clinical factors and ALRI in patients with hepatocellular carcinoma. RESULTS: A total of 3914 patients with hepatocellular carcinoma from eleven retrospective cohorts were included in this meta-analysis. The combined results revealed that patients with hepatocellular carcinoma with elevated ALRI tended to have unfavorable OS (HR 1.53 [95% CI 1.25-1.82]; P < 0.001). Pooled HRs revealed that high ALRI was an independent risk factor for inferior PFS in patients with hepatocellular carcinoma (HR 1.36 [95% CI 1.10-1.63]; P < 0.001). In addition, high ALRI was strongly associated with male sex (OR 1.32 [95% CI 1.02-1.70]; P = 0.035), presence of cirrhosis (OR 1.68 [95% CI 1.01-2.81]; P = 0.046), larger tumor size (OR 2.25 [95% CI 1.31-3.88]; P < 0.001), presence of portal vein tumor thrombus (OR 2.50 [95% CI 1.52-4.11]; P < 0.001), and distant metastasis (OR 1.72 [95% CI 1.05-2.82]; P = 0.031). CONCLUSION: Elevated ALRI in patients with hepatocellular carcinoma predicted inferior survival outcomes and was strongly associated with some important features of hepatocellular carcinoma.

Utility of Pretreatment Blood Platelet-To-Lymphocyte Ratio in Prediction of Clinical Outcomes and Chemosensitivity in Patients with Advanced Gastric Cancer: A Meta-Analysis.

BACKGROUND The results of previous studies that evaluated the association between pretreatment blood platelet-to-lymphocyte ratio (PLR) and clinical outcomes and chemosensitivity in patients with advanced gastric cancer are inconsistent. Therefore, this study was designed to investigate the association between pretreatment blood PLR and clinical outcomes and chemosensitivity in advanced gastric cancer patients. MATERIAL AND METHODS We performed a systematic literature search in PubMed, Web of Science, EMBASE, and the Cochrane Library up to Mar 9, 2021. Hazard ratios (HRs) for overall survival (OS) and disease-free survival (DFS) were pooled for meta-analysis. The quality of the included studies was measured by the Newcastle-Ottawa Quality Assessment Scale. RESULTS We included 17 studies comprising 3499 patients with advanced GC in this meta-analysis. Pooled results demonstrated that high PLR was correlated with poor OS (HR=1.429, 95% CI=1.246-1.639, P<0.001) and DFS (HR=1.47, 95% CI=1.14-1.88, P=0.003) compared with low PLR in patients with advanced GC. Moreover, high PLR was associated with a lower response to chemotherapy in patients with advanced GC (OR=1.395, 95% CI=1.056-1.841, P=0.019). However, there was no significant correlation between PLR and clinicopathological features. CONCLUSIONS This meta-analysis suggests that high PLR is a risk factor for unfavorable OS, DFS, and chemosensitivity in patients with advanced GC.

Prognostic Value of Blood Urea Nitrogen to Serum Albumin Ratio in Intensive Care Unit Patients with Lung Cancer.

BACKGROUND: We aimed to evaluate the prognostic ability of blood urea nitrogen (BUN) to serum albumin ratio (BAR) to predict in-hospital mortality in patients with lung cancer in the intensive care unit (ICU). METHODS: Medical Information Mart for Intensive Care IV (MIMIC-IV v1.0) database was used to identify patients who were diagnosed with lung cancer. The primary outcome was in-hospital mortality. Multivariate COX regression was used to investigate the association between BAR and in-hospital mortality and propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were also used to ensure the robustness of our findings. eICU-CRD database (validation cohort) was also applied to validate our findings. RESULTS: The optimal cut-off value for BAR was 6.8mg/g. Among 1202 patients who were diagnosed with lung cancer, 287 high-BAR group (≥6.8mg/g) patients and 287 low-BAR group (<6.8mg/g) patients, who had similar propensity scores were included in this study. After matching, the high-BAR group had significantly higher in-hospital mortality (hazard ratio, HR, 2.24, 95% confidence index, 95% CI, 1.57-3.19, P<0.001) even after adjustment for confounding factors. Moreover, the performance of BAR was superior to that of BUN and serum albumin alone and could add net benefit in predicting in-hospital mortality. Those results were further confirmed in the validation cohort. CONCLUSION: As an easily accessible and cost-effective parameter, BAR could serve as a good prognostic predictor for lung cancer patients in ICU.

Development and validation a simple model for identify malignant ascites.

The differential diagnosis of benign ascites and malignant ascites is incredibly challenging for clinicians. This research aimed to develop a user-friendly predictive model to discriminate malignant ascites from non-malignant ascites through easy-to-obtain clinical parameters. All patients with new-onset ascites fluid were recruited from January 2014 to December 2018. The medical records of 317 patients with ascites for various reasons in Renmin Hospital of Wuhan University were collected and reviewed retrospectively. Thirty-six parameters were included and selected using univariate logistic regression, multivariate logistic regression, and receiver operating characteristic (ROC) curve analyses to establish a mathematical model for differential diagnosis, and its diagnostic performance was validated in the other groups. Age, cholesterol, hypersensitivity C-reactive protein (hs-CRP) in serum, ascitic fluid adenosine deaminase (AF ADA), ascitic fluid lactate dehydrogenase (AF LDH) involvement in a 5-marker model. With a cut-off level of 0.83, the sensitivity, specificity, accuracy, and area under the ROC of the model for identifying malignant ascites in the development dataset were 84.7%, 88.8%, 87.6%, and 0.874 (95% confidence interval [CI], 0.822-0.926), respectively, and 80.9%, 82.6%, 81.5%, and 0.863 (95% CI,0.817-0.913) in the validation dataset, respectively. The diagnostic model has a similar high diagnostic performance in both the development and validation datasets. The mathematical diagnostic model based on the five markers is a user-friendly method to differentiate malignant ascites from benign ascites with high efficiency.

Upregulation of phosphatidylinositol glycan anchor biosynthesis class C is associated with unfavorable survival prognosis in patients with hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common types of malignant tumor, and is the second highest cause of cancer-associated mortality, behind lung carcinoma. It is urgent to identify novel genes that can be used to confirm the diagnosis and prognosis of patients with HCC. The present study aimed to investigate the expression pattern of phosphatidylinositol glycan anchor biosynthesis class C (PIGC) in HCC and assess its clinical prognostic significance. Bioinformatics analyses were used to investigate PIGC mRNA expression levels in HCC and adjacent non-cancerous tissue samples. Furthermore, the present study detected the expression levels of PIGC protein in HCC and matched normal tissue samples via immunohistochemistry, and evaluated the prognostic significance of PIGC protein in HCC. The levels of PIGC mRNA and protein were found to be significantly higher in tissue from patients with HCC compared with non-cancerous liver tissue. The survival analysis showed that the expression levels of PIGC mRNA or protein were associated with the survival of patients with HCC. PIGC protein expression was significantly associated with Tumor-Node-Metastasis stage. A negative correlation between PIGC DNA methylation and mRNA expression was observed (Spearman r=-0.453). PIGC is an oncogene that is negatively regulated by DNA methylation, and high levels of PIGC mRNA or protein may predict an unfavorable prognosis in patients with HCC.

Zingiberene targets the miR-16/cyclin-B1 axis to regulate the growth, migration and invasion of human liver cancer cells.

PURPOSE: Liver cancer or hepatocellular carcinoma (HCC) is considered as one of the most frequent malignancies with significantly high morbidity and mortality across the globe. MicroRNAs (miRs) are regarded as important regulators of liver cancer formation and its development. However, the full biochemical mechanism of their role is still very less understood. The main objective of the current research work was to examine the role of miR-16/cyclin-B1 axis in liver cancer regulation and how this pathway along with liver cancer migration and invasion are targeted by zingiberene molecule. METHODS: Quantitative reverse transcriptase polymerase chain reaction was used to evaluate miR-16 expression in HCC cell lines. Western blotting was performed to evaluate the expression of the miR-16 target genes. Effects on cell migration and invasion were evaluated by in vitro wound healing assay and transwell Matrigel assay, respectively. Effects of zingiberene on HCC cell viability were evaluated by MTT assay. RESULTS: Zingiberene treatment led to downregulation of miR-16 in HepG2 human hepatocellular carcinoma cells, accompanied by induction of G0/G1 cell cycle arrest targeting cyclin B1 as direct target. These effects were also accompanied by inhibition of cell migration and invasion, indicating that miR-16 can have a significant role as liver cancer suppressor after zingiberene treatment. Luciferase reporter assay confirmed that miR-16, which was one of HCC downregulated miRs, directly targeted Cyclin B1 in HCC cells. CONCLUSION: The current study indicates miR-16/cyclin B1 axis might have significant applications as a therapeutic target for patients with liver cancer.

Anticancer effects of Lanostane against human gastric cancer cells involves autophagy, apoptosis and modulation of m-TOR/PI3K/AKT signalling pathway.

PURPOSE: Gastric carcinoma is the fourth leading cause of cancer-related morbidity throughout the globe. There are limited clinical therapies for gastric cancer due to lack of effective drugs and ambiguity in molecular mechanisms. As such there is a pressing need for novel and effective anticancer drugs for gastric cancer. The main aim of the current research work was to investigate the anticancer effects of Lanostane natural product in MKN-45 human gastric cancer cells along with evaluating its effects on cell autophagy, apoptosis, and m-TOR/PI3K/AKT signalling pathway. METHODS: MTT cytotoxicity assay was used to evaluate cell viability of MKN-45 human gastric cancer cells. Apoptosis was evaluated by fluorescence microscopy using Hoechst 33258 and Annexin-V/propidium iodide (PI) assay using flow cytometry. Autophagy was evaluated by transmission electron microscopy (TEM) and western blot method. Effects on m-TOR/PI3K/AKT related protein expression were evaluated by western blot method. RESULTS: Lanostane molecule led to substantial and dose-dependent growth inhibitory effects onMKN-45 human gastric cancer cells. Clonogenic assay showed significant decrease in MKN-45 cell colonies. Hoechst 33258 and annexin V/PI revealed that lanostane induced dominant apoptotic effects in these cells and exhibited dose-dependence. TEM revealed that lanostane induced autophagy in MKN-45 cells by forming autophagosomes and autophagic vacuoles. Lanostane also targeted m-TOR/PI3K/AKT signalling pathway by altering the expression of some key proteins. CONCLUSION: Lanostane displayed strong anticancer effects in MKN-45 human gastric cancer cells by triggering apoptosis and autophagy and targeting m-TOR/PI3K/AKT signalling pathway.

[Twin girls infected with SARS-CoV-2].

This article reports the diagnosis and treatment of twin girls who were diagnosed with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Hunan Province, China. The twin girls, aged 1 year and 2 months, were admitted on January 29, 2020 due to fever for one day and cough and sneezing for two days respectively. Both recovered after symptomatic treatment. The two girls had mild symptoms and rapid recovery, suggesting that children with SARS-CoV-2 infection may be mild and have a good prognosis. There were differences in the clinical symptoms and imaging findings between the twin girls, suggesting that SARS-CoV-2 infection has diverse clinical features in children.

Prognostic role of programmed death-ligand 1 expression in patients with biliary tract cancer: a meta-analysis.

Previous studies investigated the prognostic role of programmed death-ligand 1 (PD-L1) expression in patients with biliary tract cancer (BTC); however, the results remained controversial. Therefore, we conducted the current meta-analysis with the aim of clarifying the association between PD-L1 expression and prognosis as well as with several important clinicopathological features of BTC. We searched PubMed, Embase, and Web of Science for relevant studies. Studies that detected PD-L1 expression in tumor cells by using immunohistochemistry (IHC) were selected. Pooled hazard ratios (HRs) and pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to estimate the correlations. In total, 15 independent studies with 1,776 patients were included in this meta-analysis. The pooled data demonstrated that high PD-L1 expression was associated with poor overall survival (n=15, HR=1.79, 95% CI=1.55-2.07, p<0.001). The correlation between PD-L1 expression and disease-free survival was not significant (n=6, HR=1.38, 95% CI=1.00-1.91, p=0.051). In addition, no significant correlation was observed between PD-L1 expression and clinical features in patients with BTC. Our study results showed that PD-L1 expression could play a pivotal role as an effective factor of poor prognosis in patients with BTC.

P2Y11R regulates cytotoxicity of HBV X protein (HBx) in human normal hepatocytes.

Hepatitis B infection is a major global health problem and a primary cause of hepatocellular carcinoma (HCC). While various antiviral treatments have been explored, there is not yet a reliable method for preventing the progression of chronic hepatitis B infection into HCC. Hepatitis B virus X protein (HBx) plays a major role in viral replication, chronic inflammation and the pathogenicity of chronic liver disease. Modulation of purinergic receptors using their specific agonists has become a popular new strategy for modifying disease processes. In the present study, we investigated the involvement of the P2Y11 receptor using its specific antagonist NF157 in some key aspects of HBx-induced liver disease in human MIHA hepatocytes, including mitochondrial dysfunction due to compromised mitochondrial membrane potential (MMP), oxidative stress resulting from overproduction of reactive oxygen species (ROS) and decreased antioxidant glutathione (GSH), production of proinflammatory cytokines and chemokines such as interleukin (IL)-6, monocyte chemoattractant protein (MCP)-1, and chemokine (C-X-C motif) ligand 2 (CXCL2), as well as activation of cellular signaling pathways including the p38/mitogen-activated protein kinase (p38/MAPK) and nuclear factor-κB (NF-κB) pathways. Our findings present a novel new strategy for the treatment and prevention of chronic liver infection and subsequent morbidities induced by HBx via specific antagonism of the P2Y11 purinergic receptor.

Gastric calcifying fibrous tumor: A clinicopathological study of nine cases.

The aim of the present study was to analyze the clinicopathological characteristics presented in 9 cases of gastric calcifying fibrous tumor (CFT), and investigate the expressions and clinical implications of G protein-coupled estrogen receptor (GPER), estrogen receptor (ER) and vimentin in gastric CFTs. The clinical and pathological information of 9 patients with CFTs was investigated retrospectively. Subsequently, the expression of GPER, ER and vimentin were examined using immunohistochemistry, and a literature search for gastric CFT was conducted. The 9 patients were 40-71 years old with a mean age of 52.22 years, including 6 female and 3 male patients. Pathological features included dense hyalinized collagen fibers with a psammomatous body or dystrophic calcification, and the infiltration of scattered lymphocytes and plasma cells. Immunohistochemically, all cases expressed vimentin and GPER, whereas ER expression was negative. Using a database research, 25 studies regarding gastric CFT were identified, including 48 cases with a sex ratio (female:male) of 1.4:1. In addition, the number of female patients was twice the number of male patients in patients <50 years old, whereas the number was almost equal between women and men ≥50 years of age. Gastric CFT is a benign lesion with a good prognosis and a predilection for female patients, particularly premenopausal women. Estrogen may serve a role in this female predominance, and this may be mediated by GPER rather than ER.

EBP50 inhibits pancreatic cancer cell growth and invasion by targeting the ß-catenin/E-cadherin pathway.

Ezrin-radixin-moesin (ERM)-binding phosphoprotein 50 (EBP50) has previously been demonstrated to be associated with the malignant transformation of numerous types of human cancer. The aim of the present study was to investigate the effect of EBP50 overexpression on pancreatic cancer and the underlying mechanism. Reverse transcription-quantitative polymerase chain reaction was used to detect the expression of EBP50 in human pancreatic cancer tissue specimens. Furthermore, pBK-CMV-HA-EBP50 and the pBK-CMV-HA vectors were transfected into pancreatic cancer cells and the effect of EBP50 upregulation on the proliferation and invasion of the cells was investigated. In addition, the effect of EBP50 overexpression on ß-catenin and E-cadherin expression was evaluated. The results revealed that overexpression of EBP50 suppressed cell growth and invasion in two human pancreatic cancer cell lines. Overexpression of EBP50 also suppressed ß-catenin expression and increased E-cadherin expression. Thus, the present study demonstrated that EBP50 inhibits pancreatic cancer cell growth and invasion through targeting the ß-catenin/E-cadherin pathway. The results suggest that EBP50 may function as a potential tumor suppressor and thus may serve as a potential therapeutic target.