NDRG2 acts as a negative regulator of the progression of small-cell lung cancer through the modulation of the PTEN-AKT-mTOR signalling cascade.

N-myc downstream-regulated gene 2 (NDRG2) has been recognised as a negative regulator of the progression of numerous tumours, yet its specific role in small-cell lung carcinoma (SCLC) is not fully understood. The purpose of the current study was to investigate the biological role and mechanism of NDRG2 in SCLC. Initial investigation using the Gene Expression Omnibus (GEO) dataset revealed marked downregulation of NDRG2 transcripts in SCLC. The decreased abundance of NDRG2 in SCLC was verified by examining clinical specimens. Increasing NDRG2 expression in SCLC cell lines caused significant changes in cell proliferation, cell cycle progression, colony formation, and chemosensitivity. NDRG2 overexpression decreased the levels of phosphorylated PTEN, AKT and mTOR. In PTEN-depleted SCLC cells, the upregulation of NDRG2 did not result in any noticeable impact on AKT or mTOR activation. Additionally, the reactivation of AKT reversed the antitumour effects of NDRG2 in SCLC cells. Notably, increasing NDRG2 expression retarded the growth of SCLC cell-derived xenografts in vivo. In conclusion, NDRG2 serves as an inhibitor of SCLC, and its cancer-inhibiting effects are achieved through the suppression of AKT/mTOR via the activation of PTEN. This work suggests that NDRG2 is a potential druggable target for SCLC treatment.

Hsa-miR-1269a up-regulation fosters the malignant progression of esophageal squamous cell carcinoma via targeting FAM46C.

Esophageal squamous cell carcinoma (ESCC) is a malignancy of the alimentary tract resulting in death worldwide. The role and underlying mechanism of hsa-miR-1269a in the progression of ESCC remain unclear. In this study, hsa-miR-1269a was screened by differential expression analysis in TCGA, and its target gene FAM46C was predicted. qRT-PCR was conducted to assay the expression of hsa-miR-1269a and FAM46C in ESCC cells. The results showed that hsa-miR-1269a was upregulated in ESCC tissues and cell lines. Hsa-miR-1269a overexpression stimulated the proliferation, migration, and invasion capacities of ESCC cells, and FAM46C overexpression inhibited these phenotypes. Dual-luciferase assay verified that hsa-miR-1269a could target FAM46C. Next, qRT-PCR and western blot demonstrated that hsa-miR-1269a overexpression downregulated FAM46C. Rescue experiments revealed that hsa-miR-1269a accelerated the malignant progression of ESCC through FAM46C down-regulation. These results indicate that the interaction between hsa-miR-1269a and FAM46C plays a regulatory role in driving the malignant progression of ESCC cells, thereby providing a novel molecular mechanism for understanding ESCC.

Cyclophilin D Contributes to Airway Epithelial Mitochondrial Damage in Chronic Obstructive Pulmonary Disease.

INTRODUCTION: Airway epithelial mitochondrial injury is an important pathogenesis of chronic obstructive pulmonary disease (COPD). Cyclophilin D (CypD) is a component of mitochondrial permeability transition pore and related to mitochondrial damage. However, the role of CypD in airway epithelial mitochondrial injury and COPD pathogenesis remains unclear. METHODS: CypD expression in human airway epithelium was determined by immunohistochemistry, and mitochondrial structure of airway epithelial cell was observed under the transmission electron microscopy. The expression of CypD signaling pathway in cigarette smoke extract (CSE)-treated airway epithelial cells was measured by real-time PCR and Western-blot. CSE-induced damage of airway epithelial cell and mitochondria was further studied. RESULTS: Immunohistochemistry and transmission electron microscopy analysis revealed that CypD expression in airway epithelium was significantly increased associated with notable airway epithelial mitochondrial structure damage in the patients with COPD. The mRNA and protein expression of CypD was significantly increased in concentration- and time-dependent manners when airway epithelial cells were treated with CSE. CypD siRNA pretreatment significantly suppressed the increases of CypD and Bax expression, and reduced the decline of Bcl-2 expression in 7.5% CSE-treated airway epithelial cells. Furthermore, CypD silencing significantly attenuated mitochondrial damage and cell apoptosis, and increased cell viability when airway epithelial cells were stimulated with 7.5% CSE. CONCLUSION: These data suggest that CypD signaling pathway is involved in the pathogenesis of COPD and provide a potential therapeutic target for COPD.

Risk factors of pancreatitis after endoscopic retrograde cholangiopancreatography in patients with biliary tract diseases.

BACKGROUND: To investigate the risk factors of pancreatitis after endoscopic retrograde cholangiopancreatography (ERCP) in patients with biliary tract diseases. METHODS: We retrospectively analyzed the clinical data of 480 patients who underwent ERCP for biliary tract diseases at the Affiliated Zhongshan Hospital of Dalian University from October 2011 to October 2016. The patients were divided into a study group (n = 75, with PEP) and a control group (n = 405, without PEP) based on whether they developed post-ERCP pancreatitis (PEP), and their clinical baseline data and intraoperative conditions were retrieved and compared. Then, factors associated with PEP were analyzed using logistic regression model, based on which a nomogram prediction model was constructed. The receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the performance of the prediction model. RESULTS: Significant differences in age, sex, history of pancreatitis, history of choledocholithiasis, pancreatic duct imaging, pancreatic sphincterotomy, difficult cannulation, multiple cannulation attempts and juxtapapillary duodenal diverticula were observed between the two groups. Multivariate logistic regression analysis showed that age less than 60 years (OR, 0.477; 95% CI, 0.26-0.855), female sex (OR, 2.162; 95% CI, 1.220-3.831), history of pancreatitis (OR, 2.567; 95% CI, 1.218-5.410), history of choledocholithiasis (OR, 2.062; 95% CI, 1.162-3.658), pancreatic sphincterotomy (OR, 2.387; 95% CI, 1.298-4.390), pancreatic duct imaging (OR, 4.429; 95% CI, 1.481-13.242), multiple cannulation attempts (OR, 2.327; 95% CI, 1.205-4.493), difficult cannulation (OR, 2.421; 95% CI, 1.143-5.128), and JPD (OR, 2.002; 95% CI, 1.125-3.564) were independent risk factors for PEP. The nomogram for predicting the occurrence of PEP demonstrated an area under the ROC curve (AUC) of 0.787, and the calibration curves of the model showed good consistency between the predicted and actual probability of PEP. CONCLUSION: Our results showed that age less than 60 years, female sex, history of pancreatitis, history of choledocholithiasis, pancreatic sphincterotomy, pancreatic duct imaging, multiple cannulation attempts, difficult cannulation and juxtapapillary duodenal diverticula were independent risk factors for PEP. In addition, the established nomogram demonstrated promising clinical efficacy in predicting PEP risk in patients who underwent ERCP for biliary tract diseases.

Investigation on the Electrical Conductivity of Graphene/Cement Composites by Alternating Current Method.

This paper is concerned with an analysis of the electrical conductivity of graphene/cement composites by means of DC (direct current) and AC (alternating current) techniques. Moreover, the micrograph and element composition of composites have been characterized through SEM (scanning electron microscopy) and EDS (energy-dispersive spectrometers) techniques, respectively. Results revealed that a percolation transition region Φ2-Φ1 (Φ2 and Φ1 values are determined as 0.8% and 1.8%, respectively) can be observed in the S-shaped curve. In addition, the logistic model has been recommended to characterize the relationship between the conductivity and the graphene concentration, which ranged from 0.001% to 2.5%. The micrographs obtained by SEM technique clearly indicate a complete conductive network as well as agglomeration of graphene slices when the graphene content reaches the threshold value. Furthermore, graphene slices can be distinguished from the cement hydration products by means of the analysis of element composition obtained through the EDS technique. It is promising to apply the graphene/cement composites as intelligent materials.

Transcriptional Circuitry of NKX2-1 and SOX1 Defines an Unrecognized Lineage Subtype of Small-Cell Lung Cancer.

Rationale: The current molecular classification of small-cell lung cancer (SCLC) on the basis of the expression of four lineage transcription factors still leaves its major subtype SCLC-A as a heterogeneous group, necessitating more precise characterization of lineage subclasses. Objectives: To refine the current SCLC classification with epigenomic profiles and to identify features of the redefined SCLC subtypes. Methods: We performed unsupervised clustering of epigenomic profiles on 25 SCLC cell lines. Functional significance of NKX2-1 (NK2 homeobox 1) was evaluated by cell growth, apoptosis, and xenograft using clustered regularly interspaced short palindromic repeats-Cas9 (CRISPR-associated protein 9)-mediated deletion. NKX2-1-specific cistromic profiles were determined using chromatin immunoprecipitation followed by sequencing, and its functional transcriptional partners were determined using coimmunoprecipitation followed by mass spectrometry. Rb1flox/flox; Trp53flox/flox and Rb1flox/flox; Trp53flox/flox; Nkx2-1flox/flox mouse models were engineered to explore the function of Nkx2-1 in SCLC tumorigenesis. Epigenomic landscapes of six human SCLC specimens and 20 tumors from two mouse models were characterized. Measurements and Main Results: We identified two epigenomic subclusters of the major SCLC-A subtype: SCLC-Aα and SCLC-Aσ. SCLC-Aα was characterized by the presence of a super-enhancer at the NKX2-1 locus, which was observed in human SCLC specimens and a murine SCLC model. We found that NKX2-1, a dual lung and neural lineage factor, is uniquely relevant in SCLC-Aα. In addition, we found that maintenance of this neural identity in SCLC-Aα is mediated by collaborative transcriptional activity with another neuronal transcriptional factor, SOX1 (SRY-box transcription factor 1). Conclusions: We comprehensively describe additional epigenomic heterogeneity of the major SCLC-A subtype and define the SCLC-Aα subtype by the core regulatory circuitry of NKX2-1 and SOX1 super-enhancers and their functional collaborations to maintain neuronal linage state.

Serum exosomal proteomics analysis of lung adenocarcinoma to discover new tumor markers.

BACKGROUND: Among the most aggressive and rapidly lethal types of lung cancer, lung adenocarcinoma is the most common type. Exosomes, as a hot area, play an influential role in cancer. By using proteomics analysis, we aimed to identify potential markers of lung adenocarcinoma in serum. METHODS: In our study, we used the ultracentrifugation method to isolate serum exosomes. The Liquid chromatography-mass spectrometry (LC-MS) and bioinformatics analysis were used to identify potential serum exosomal proteins with altered expression among patients with advanced lung adenocarcinoma, early lung adenocarcinoma, and healthy controls. A western blot (WB) was performed to confirm the above differential expression levels in a separate serum sample-isolated exosome, and immunohistochemistry (IHC) staining was conducted to detect expression levels of the above differential proteins of serum exosomes in lung adenocarcinoma tissues and adjacent tissues. Furthermore, we compared different expression models of the above differential proteins in serum and exosomes. RESULT: According to the ITGAM (Integrin alpha M chain) and CLU (Clusterin) were differentially expressed in serum exosomes among different groups as well as tumor tissues and adjacent tissues. ITGAM was significantly and specifically enriched in exosomes. As compared to serum, CLU did not appear to be significantly enriched in exosomes. ITGAM and CLU were identified as serum exosomal protein markers of lung adenocarcinoma. CONCLUSIONS: This study can provide novel ideas and a research basis for targeting lung adenocarcinoma treatment as a preliminary study.

Prediction of Temperature Distribution in Concrete under Variable Environmental Factors through a Three-Dimensional Heat Transfer Model.

Temperature distribution in concrete is significant to the concrete structure's macro properties and different factors affect the heat transfer in concrete, and therefore influence the temperature distribution. This work established a three-dimensional transient heat transfer model coupled with various environmental factors, using the finite element method for calculating the results and real-measured data for testing accuracy. In addition, a sensitivity evaluation of various factors was conducted. Due to various environmental factors, the results revealed that the prediction of temperature distribution in concrete by the three-dimensional model had great accuracy with an error of less than 4%. A particular hysteresis effect of temperature response in the concrete existed. Considering heat transfer in different spatial directions, the model can predict the temperature change of each spatial point instead of the spatial surface in different depths, proving the shortcomings of a one-dimensional heat transfer model. A greater solar radiation intensity caused a more significant temperature difference on the concrete surface: the surface temperature difference in July was twice as significant as that in December. Wind speed had a cooling effect on the concrete surface, and stronger wind speed accompanied with a stronger cooling effect made the surface temperature closer to the ambient temperature. Material properties had different effects on the temperature distribution of the surface part and internal part: the specific heat capacity determined the speed of the outer layer temperature change while the thermal conductivity determined the speed of the inner layer temperature change.

Correlation analysis of RDM1 gene with immune infiltration and clinical prognosis of hepatocellular carcinoma.

PURPOSE: Liver hepatocellular carcinoma (LIHC) is one of the most common primary malignant liver tumors worldwide. The RAD52 motif-containing protein 1 (RDM1) has been shown to play a role in mediating DNA damage repair and homologous recombination. The present study was designed to determine the expression of RDM1 and its prognostic value as well as its relationship with immune infiltration in LIHC patients. METHODS: Oncomine and Tumor Immunoassay Resource were used to assess the expression of RDM1. PrognoScan and Kaplan-Meier bioinformatics database were used to analyze the impact of clinical influencing factors on prognosis. Finally, the Tumor Immune Assessment Resource (TIMER) and Gene Expression Analysis Interactive Analysis (GEPIA) databases were used to detect the correlation between the expression of RDM1 and expression of marker genes related to immune infiltration. Immunohistochemistry (IHC) method was used to detect the expression level of RDM1 in 90 cases of hepatocellular carcinoma and adjacent normal liver tissues. RESULTS: RDM1 expression was up-regulated in most cancers. The expression of RDM1 was remarkably higher than that of the corresponding normal control genes in LIHC tissues. The increase in RDM1 messenger RNA (mRNA) expression was closely related to the decreases in overall survival (OS) and progression-free survival (PFS). Additionally, the increase in RDM1 mRNA expression was closely related to the infiltration levels of macrophages, CD8+ T cells and B cells and was positively correlated with a variety of immune markers in LIHC. CONCLUSION: The findings of the present study demonstrate that RDM1 is a potentially valuable prognostic biomarker that can help determine the progression of cancer and is associated with immune cell infiltration in LIHC.

S100A8 and S100A9, both transcriptionally regulated by PU.1, promote epithelial-mesenchymal transformation (EMT) and invasive growth of dermal keratinocytes during scar formation post burn.

S100 calcium-binding protein A8 (S100A8) and S100A9 are small molecular weight calcium-binding regulatory proteins that have been involved in multiple chronic inflammatory diseases. However, the role of S100A8 and S100A9 in keratinocytes in wounded skin and how they are regulated during this process are still unclear. Here, we found that S100A8 and S100A9 were both upregulated in burn-wounded skins in vivo and thermal-stimulated epidermal keratinocytes in vitro, accompanied by increased levels of epithelial-mesenchymal transition (EMT). Then, we demonstrated that upregulation of S100A8 and S100A9 alone or together enhanced characteristics of EMT in normal keratinocytes, manifested by excessive proliferation rate, abnormal ability of cell invasion, and high expression levels of EMT marker proteins. The transcription factor PU box-binding protein (PU.1) bound to the promoter regions and transcriptionally promoted the expression of S100A8 and S100A9 both in the human and mice, and it had strong positive correlations with both S100A8 and S100A9 protein levels in burned skin in vivo. Moreover, PU.1 positively regulated expression of S100A8 and S100A9 in a dose-dependent manner, and enhanced EMT of keratinocytes in vitro. Finally, through the burn mouse model, we found that PU.1-/- mice displayed a lower ability of scar formation, manifested by smaller scar volume, thickness, and collagen content, which could be enhanced by S100A8 and S100A9. In conclusion, PU.1 transcriptionally promotes expression of S100A8 and S100A9, thus positively regulating epithelial-mesenchymal transformation (EMT) and invasive growth of dermal keratinocytes during scar formation post burn.

New injury severity score (NISS) outperforms injury severity score (ISS) in the evaluation of severe blunt trauma patients.

PURPOSE: The injury severity score (ISS) and new injury severity score (NISS) have been widely used in trauma evaluation. However, which scoring system is better in trauma outcome prediction is still disputed. The purpose of this study is to evaluate the value of the two scoring systems in predicting trauma outcomes, including mortality, intensive care unit (ICU) admission and ICU length of stay. METHODS: The data were collected retrospectively from three hospitals in Zhejiang province, China. The comparisons of NISS and ISS in predicting outcomes were performed by using receiver operator characteristic (ROC) curves and Hosmer-Lemeshow statistics. RESULTS: A total of 1825 blunt trauma patients were enrolled in our study. Finally, 1243 patients were admitted to ICU, and 215 patients died before discharge. The ISS and NISS were equivalent in predicting mortality (area under ORC curve [AUC]: 0.886 vs. 0.887, p = 0.9113). But for the patients with ISS ≥25, NISS showed better performance in predicting mortality. NISS was also significantly better than ISS in predicting ICU admission and prolonged ICU length of stay. CONCLUSION: NISS outperforms ISS in predicting the outcomes for severe blunt trauma and can be an essential supplement of ISS. Considering the convenience of NISS in calculation, it is advantageous to promote NISS in China's primary hospitals.

Noniterative Sparse LS-SVM Based on Globally Representative Point Selection.

A least squares support vector machine (LS-SVM) offers performance comparable to that of SVMs for classification and regression. The main limitation of LS-SVM is that it lacks sparsity compared with SVMs, making LS-SVM unsuitable for handling large-scale data due to computation and memory costs. To obtain sparse LS-SVM, several pruning methods based on an iterative strategy were recently proposed but did not consider the quantity constraint on the number of reserved support vectors, as widely used in real-life applications. In this article, a noniterative algorithm is proposed based on the selection of globally representative points (global-representation-based sparse least squares support vector machine, GRS-LSSVM) to improve the performance of sparse LS-SVM. For the first time, we present a model of sparse LS-SVM with a quantity constraint. In solving the optimal solution of the model, we find that using globally representative points to construct the reserved support vector set produces a better solution than other methods. We design an indicator based on point density and point dispersion to evaluate the global representation of points in feature space. Using the indicator, the top globally representative points are selected in one step from all points to construct the reserved support vector set of sparse LS-SVM. After obtaining the set, the decision hyperplane of sparse LS-SVM is directly computed using an algebraic formula. This algorithm only consumes O(N2) in computational complexity and O(N) in memory cost which makes it suitable for large-scale data sets. The experimental results show that the proposed algorithm has higher sparsity, greater stability, and lower computational complexity than the traditional iterative algorithms.

SphK1 promotes development of non­small cell lung cancer through activation of STAT3.

Sphingosine kinase1 (SphK1) is an oncogenic enzyme that regulates tumor cell apoptosis, proliferation and survival. SphK1 has been reported to promote the development of non­small cell lung cancer (NSCLC), although the underlying mechanism remains to be determined. The aim of the present study was to examine the expression and function of SphK1 in NSCLC and to explore the underlying molecular mechanism. The results of the present study demonstrated that SphK1 expression was upregulated in NSCLC tissues and cell lines. Overexpression of SphK1 increased the proliferation and migration of NSCLC cells. Additionally, overexpression of SphK1 induced expression of antiapoptotic and migration­associated genes, such as Bcl­2, matrix metallopeptidase 2 and cyclin D1. Of note, signal transducer and activator of transcription 3 (STAT3) was also activated in the SphK1­overexpressing cells. By treatment with a STAT3 inhibitor, it was demonstrated that the SphK1­induced changes in expression of target genes, as well as the increase in proliferation and migration of NSCLC cells were mediated by STAT3. In conclusion, the effects of SphK1 overexpression on the development of NSCLC were demonstrated to be mediated by the activation of STAT3. These results suggested that inhibition of the SphK1­STAT3 axis may be a potential strategy for the treatment of NSCLC.

TMPO-AS1, a Novel E2F1-Regulated lncRNA, Contributes to the Proliferation of Lung Adenocarcinoma Cells via Modulating miR-326/SOX12 Axis.

BACKGROUND: TMPO-AS1, an antisense lncRNA located at human chromosome 12p23.1, has been identified as an oncogene involved in cell proliferation in various cancers, including LUAD. In this study, we aimed to explore the novel molecular mechanism of TMPO-AS1 underlying LUAD growth. MATERIALS AND METHODS: The transcription levels of TMPO-AS1, miR-326, and SOX12 in LUAD tissues and cell lines were detected by quantitative real-time PCR (qRT-PCR). The cell proliferation ability was evaluatect 3d by cell counting kit-8 (CCK-8) assay. Cell cycle and apoptosis analysis was assessed by flow cytometry. The target relationship among TMPO-AS1, miR-326, and SOX12 and promoter activity of TMPO-AS1 was measured using dual-luciferase reporter assay. The protein levels of SOX12 in LUAD cells were determined by Western blot. ChIP-qPCR assay was performed to validate the direct binding between E2F1 and TMPO-AS1 promoter. RESULTS: TMPO-AS1 was up-regulated in LUAD tissues as well as cell lines. Boosted TMPO-AS1 expression was positively correlated with poor prognosis and pathological stage in LUAD. Down-regulation of TMPO-AS1 could restrain the proliferation of LUAD cells through arresting the cell cycle at G0/G1 phase and inducing apoptosis in vitro. Mechanically, we demonstrated that TMPO-AS1 could modulate the proliferation of LUAD cells through increasing SOX12 expression level via sponging miR-326 in accordance with bioinformatics analysis and experimental validation. Furthermore, we identified that TMPO-AS1 could be activated by E2F transcription factor 1 (E2F1) as a novel target gene. CONCLUSION: TMPO-AS1 can modulate LUAD cell proliferation through E2F1/miR-326/SOX12 pathway.

Developing a Multi-Element Sensor to Non-Destructively Monitor Several Fundamental Parameters Related to Concrete Durability.

A design scheme of multi-element sensor which included electrical resistivity probes, multiple Cl- selective electrodes, and a steel corrosion monitoring system was proposed in this work. Embedding this multi-element sensor in concrete enables the real-time and non-destructive monitoring of internal electrical resistivity, free Cl- (Clf) contents in the concrete pore solution at different depths, and steel corrosion parameters. Based on the monitoring data obtained by the multi-element sensor, the freezing-thawing (F-T) damage degree, the Clf diffusion coefficient, the quantitative relation between F-T damage degree and Clf diffusion coefficient, the initiation period of steel corrosion, and the critical content related to steel corrosion are determined. To conclude, the multi-element sensor provides key durability parameters for the establishment of the Clf diffusion model, the assessment of health condition, and the prediction of service life of concrete under the coexistence of the F-T cycle and Cl-.

Circular RNA SMARCA5 suppressed non-small cell lung cancer progression by regulating miR-670-5p/RBM24 axis.

Circular RNAs (circRNAs) have good stability and long half-life in blood and other body fluid, and possess regulatory effects on various biological processes as miRNA/RNA-binding protein sponges, or by competing endogenous RNA, indicating their great potential as biomarkers or targets of cancer therapy. In this study, we mainly explored the role and mechanism of circular RNA SMARCA5 (circsSMARCA5) in non-small cell lung cancer (NSCLC). Quantitative RT-PCR was applied to measure the expression levels of genes, and then, the relationships among circsSMARCA5, microRNA-670-5p (miR-670-5p), and RBM24 were further analyzed. Animal and cell experiments were performed to explore the functions of circsSMARCA5 in NSCLC cells. The results showed that circsSMARCA5 was expressed at low level in NSCLC tissues and cells, while miR-670-5p had high level in NSCLC tissues. Dual luciferase reporter assay verified that miR-670-5p was the target of circsSMARCA5, and RBM24 has the binding site of miR-670-5p. Further analysis showed that circsSMARCA5 could negatively regulate miR-670-5p and had positive relationship with RBM24. Moreover, circsSMARCA5 obviously inhibited tumor growth in vivo, reduced cell proliferation and increased cell apoptosis in vitro, while miR-670-5p mimic or RBM24 knockdown could reverse these effects. Thus, circsSMARCA5 may serve as an NSCLC suppressor by regulating the miR-670-5p/RBM24 axis, and it may have the potential to be a biomarker or therapeutic target for NSCLC.

Circular RNA PRKCI silencing represses esophageal cancer progression and elevates cell radiosensitivity through regulating the miR-186-5p/PARP9 axis.

AIMS: Circular RNA PRKCI (circPRKCI) and poly ADP-ribose polymerase 9 (PARP9) are related to the development of cancers. In this study, we aimed to explore the regulatory mechanisms between circPRKCI and PARP9 in EC progression and radioresistance. MATERIALS AND METHODS: The levels of circPRKCI, PARP9 mRNA, and miR-186-5p were assessed by quantitative real time polymerase chain reaction (qRT-PCR). Western blot analysis was employed to examine the levels of several proteins. The viability, colony formation, cell cycle progression, and apoptosis of EC cells were determined with CCK-8, colony formation, or flow cytometry assays. The relationship between circPRKCI or PARP9 and miR-186-5p was verified with the dual-luciferase reporter and RIP assays. KEY FINDINGS: We observed that circPRKCI and PARP9 were upregulated while miR-186-5p was downregulated in EC tissues and cells. Furthermore, circPRKCI knockdown decreased tumor growth in vivo and constrained cell viability, colony formation, cell cycle progression, elevated cell radiosensitivity in EC cells in vitro. Importantly, circPRKCI modulated PARP9 expression through sponging miR-186-5p. Besides, PARP9 overexpression overturned circPRKCI silencing-mediated effects on the viability, colony formation, cell cycle progression, and radiosensitivity of EC cells. SIGNIFICANCE: CircPRKCI regulated cell malignancy and radioresistance through modulating the miR-186-5p /PARP9 axis in EC, which provided a might target for EC treatment.

Information Propagation Formalized Representation of Micro-blog Network Based on Petri Nets.

The description of user behavior in social networks is an important issue for studying social networks. Given that Petri nets can describe the resource flow problem, this study utilizes the features of Petri nets to portray the user behavior states during the message propagation of a micro-blog network and presents an information propagation formalized representation method of a micro-blog network. On this basis, this study analyzed the proposed formalized representation method in detail. We provide examples of applying formalized representation (e.g., micro-blog network addiction of users, user behavior influence, and public opinion analysis). In addition, we introduce the algorithms of formalized representation. We conduct experiments using Sina micro-blog data. Results show that the information propagation formalized representation method of micro-blog network based on Petri nets can depict user behaviors of micro-blog network intuitively and accurately. This study reveals a new perspective for information transmission of a micro-blog network and provides some tools to support public opinion monitoring and micro-blog marketing applications.

Corrigendum to "Imbalanced Regional Development of Acute Ischemic Stroke Care in Emergency Departments in China".

[This corrects the article DOI: 10.1155/2019/3747910.].