Amphiphilic Polyphosphazene for Fluorocarbon Emulsion Stabilization.

High internal phase emulsions (HIPEs) have been of great interest for fabricating fluorinated porous polymers having controlled pore structures and excellent physicochemical properties. However, it remains a challenge to prepare stable fluorocarbon HIPEs, due to the lack of suitable surfactants. By randomly grating hydrophilic and fluorophilic side chains to polyphosphazene (PPZ), a comb-like amphiphilic PPZ surfactant with biodegradability is designed and synthesized for stabilizing water/fluorocarbon oil-based emulsions. The hydrophilic-lipophilic balance of PPZs can be controlled by tuning the grating ratio of the two side chains, leading to the preparation of stable water-in-oil HIPEs and oil-in-water emulsions, and the production of fluorinated porous polymers and particles by polymerizing the oil phase. These fluorinated porous polymers show excellent thermal stability and, due to the hydrophobicity and porous structure, applications in the field of oil/water separation can be achieved.

Exploiting bacterial-origin immunostimulants for improved vaccination and immunotherapy: current insights and future directions.

Vaccination is a valid strategy to prevent and control newly emerging and reemerging infectious diseases in humans and animals. However, synthetic and recombinant antigens are poor immunogenic to stimulate efficient and protective host immune response. Immunostimulants are indispensable factors of vaccines, which can promote to trigger fast, robust, and long-lasting immune responses. Importantly, immunotherapy with immunostimulants is increasing proved to be an effective and promising treatment of cancer, which could enhance the function of the immune system against tumor cells. Pattern recognition receptors (PRRs) play vital roles in inflammation and are central to innate and adaptive immune responses. Toll-like receptors (TLRs)-targeting immunostimulants have become one of the hotspots in adjuvant research and cancer therapy. Bacterial-origin immunoreactive molecules are usually the ligands of PRRs, which could be fast recognized by PRRs and activate immune response to eliminate pathogens. Varieties of bacterial immunoreactive molecules and bacterial component-mimicking molecules have been successfully used in vaccines and clinical therapy so far. This work provides a comprehensive review of the development, current state, mechanisms, and applications of bacterial-origin immunostimulants. The exploration of bacterial immunoreactive molecules, along with their corresponding mechanisms, holds immense significance in deepening our understanding of bacterial pathogenicity and in the development of promising immunostimulants.

A rocking-chair aqueous aluminum-ion battery based on an organic/inorganic electrode.

Herein, a novel rocking-chair aqueous AIB, based on the Ni-PBA inorganic cathode and PTO organic anode, is presented. This device showed an excellent cycle life and high efficiency, endowed with a high capacity-retention of 96.0% and coulombic efficiency (CE) of over 99% at 1 A g-1 after 5000 cycles. The environmentally friendly and ultralong-life aqueous AIBs are expected to provide new options for next-generation energy storage devices.

All-oil Constructs Stabilized by Cellulose Nanocrystal Surfactants.

Constructing all-oil systems with desired geometries and responsiveness would produce a new class of reconfigurable materials that can be used for applications that are not compatible with water or aqueous systems, a fascinating goal to achieve but severely limited by the lack of surfactants. Here, we demonstrate an efficient strategy to stabilize oil-oil interfaces by using the co-assembly between the cellulose nanocrystal and amine-functionalized polyhedral oligomeric silsesquioxane (POSS-NH2). Cellulose nanocrystal surfactants (CNCSs) form and assemble in situ at the interface, showing significantly enhanced binding energy and acid-dependent interfacial activity. When CNCSs jam at the interface, a robust assembly with exceptional mechanical properties can be achieved, allowing the 3D printing of all-oil devices on demand. Using CNCSs as emulsifiers, oil-in-oil high internal phase emulsions can be prepared by one-step homogenization and, when used as templates, porous materials that require water-sensitive monomers can be synthesized. These results open a new platform for stabilizing and structuring all-oil systems, providing numerous applications for microreactors, encapsulation, delivery, and tissue engineering scaffolds.

Identification of Breast Cancer Subtypes by Integrating Genomic Analysis with the Immune Microenvironment.

Objectives: We aim to identify the breast cancer (BC) subtype clusters and the crucial gene classifier prognostic signatures by integrating genomic analysis with the tumor immune microenvironment (TME). Methods: Data sets of BC were derived from the Cancer Genome Atlas (TCGA), METABRIC, and Gene Expression Omnibus (GEO) databases. Unsupervised consensus clustering was carried out to obtain the subtype clusters of BC patients. Weighted gene coexpression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO), and univariate and multivariate regression analysis were employed to obtain the gene classifier signatures and their biological functions, which were validated by the BC dataset from the METABRIC database. Additionally, to evaluate the overall survival rates of BC patients, Kaplan-Meier survival analysis was carried out. Moreover, to assess how BC subtype clusters are related to the TME, single-cell analysis was performed. Finally, the drug sensitivity and the immune cell infiltration for different phenotypes of BC patients were also calculated by the CIBERSORT and ESTIMATE algorithms. Results : TCGA-BC samples were divided into three subtype clusters, S1, S2, and S3, among which the prognosis of S2 was poor and that of S1 and S3 were better. Three key pathways and 10 crucial prognostic-related gene signatures are screened. Finally, single-cell analysis suggests that S1 samples have the most types of immune cells, S2 with more sensitivity to tumor treatment drugs are enriched with more neutrophils, and more multilymphoid progenitor cells are involved in subtype cluster S3. Conclusions: Our novelty was to identify the BC subtype clusters and the gene classifier signatures employing a large-amount dataset combined with multiple bioinformatics methods. All of the results provide a basis for clinical precision treatment of BC.

Adsorption Behavior of the L-Theanine onto Cation Exchange Resin ZGSPC106Na and D001SD.

Adsorption is an important technology for the separation of different tea components. The adsorption behavior of L-theanine onto adsorbents was comprehensively studied in this paper. Among tested adsorbents, cation exchange resin ZGSPC106Na and D001SD were suitable for separating L-theanine, PVPP and PA-6 for catechins and macroporous resin HPD-400 for caffeine. Adsorption of L-theanine onto the cation resins was significantly influenced by the acidity, contact time and temperature. The adsorption behavior could be described by the pseudo-second-order rate equation and fitted to Langmuir and Freundlich models. ZGSPC106Na exhibited higher adsorption capacity, while D001SD showed higher adsorption selectivity. These might be attributed to the distinctive structure of the two resins and different ionization of the adsorbates. A method for simultaneous preparation of decaffeinated polyphenols, caffeine-enriched extract and decaffeinated L-theanine was established through successive separation on the columns fulfilled with PA-6, HPD-400 and D001SD, respectively.

A Deep Neural Network for Gastric Cancer Prognosis Prediction Based on Biological Information Pathways.

Background: Gastric cancer (GC) is one of the deadliest cancers in the world, with a 5-year overall survival rate of lower than 20% for patients with advanced GC. Genomic information is now frequently employed for precision cancer treatment due to the rapid advancements of high-throughput sequencing technologies. As a result, integrating multiomics data to construct predictive models for the GC patient prognosis is critical for tailored medical care. Results: In this study, we integrated multiomics data to design a biological pathway-based gastric cancer sparse deep neural network (GCS-Net) by modifying the P-NET model for long-term survival prediction of GC. The GCS-Net showed higher accuracy (accuracy = 0.844), area under the curve (AUC = 0.807), and F1 score (F1 = 0.913) than traditional machine learning models. Furthermore, the GCS-Net not only enables accurate patient survival prognosis but also provides model interpretability capabilities lacking in most traditional deep neural networks to describe the complex biological process of prognosis. The GCS-Net suggested the importance of genes (UBE2C, JAK2, RAD21, CEP250, NUP210, PTPN1, CDC27, NINL, NUP188, and PLK4) and biological pathways (Mitotic Anaphase, Resolution of Sister Chromatid Cohesion, and SUMO E3 ligases) to GC, which is consistent with the results revealed in biological- and medical-related studies of GC. Conclusion: The GCS-Net is an interpretable deep neural network built using biological pathway information whose structure represents a nonlinear hierarchical representation of genes and biological pathways. It can not only accurately predict the prognosis of GC patients but also suggest the importance of genes and biological pathways. The GCS-Net opens up new avenues for biological research and could be adapted for other cancer prediction and discovery activities as well.

An oral GLP-1 and GIP dual receptor agonist improves metabolic disorders in high fat-fed mice.

Dual activation of the glucagon-like peptide 1 (GLP-1) receptor and the glucose-dependent insulinotropic polypeptide (GIP) receptor has potential as a novel strategy for treatment of diabesity. Here, we created a hybrid peptide which we named 19W, and show that it is more stable in presence of murine plasma than exendin-4 is. In vitro studies were performed to reveal that 19W could stimulate insulin secretion from INS-1 cells in a dose-dependent manner, just like the native peptide GIP and exendin-4 do. 19W effectively evoked dose-dependent cAMP production in cells targeting both GLP-1R and GIPR. In healthy C57BL/6J mice, the single administration of 19W significantly improved glucose tolerance. When administered in combination with sodium deoxycholate (SDC), its oral hypoglycemic activity was enhanced. Pharmacokinetics studies in Wistar rats revealed that 19W was absorbed following oral uptake, while SDC increased its bioavailability. A long-term (28 days) exposure study of twice-daily oral administration to high fat-fed (HFF) mice showed that 19W significantly reduced animal food intake, body weight, fasting blood glucose, total serum cholesterol (T-CHO), non-esterified free fatty acids (NEFA), and low-density lipoprotein cholesterol (LDL-C) levels. It also significantly improved glucose tolerance and the pancreatic ß/α cell ratio, and decreased the area of liver fibrosis. These results clearly demonstrate the beneficial action of this novel oral GLP-1/GIP dual receptor agonist to reduce adiposity and hyperglycemia in diabetic mice and to ameliorate liver fibrosis associated with obesity. This dual-acting peptide can be considered a good candidate for novel oral therapy to treat obesity and diabetes.

A classification method of gastric cancer subtype based on residual graph convolution network.

Background: Clinical diagnosis and treatment of tumors are greatly complicated by their heterogeneity, and the subtype classification of cancer frequently plays a significant role in the subsequent treatment of tumors. Presently, the majority of studies rely far too heavily on gene expression data, omitting the enormous power of multi-omics fusion data and the potential for patient similarities. Method: In this study, we created a gastric cancer subtype classification model called RRGCN based on residual graph convolutional network (GCN) using multi-omics fusion data and patient similarity network. Given the multi-omics data's high dimensionality, we built an artificial neural network Autoencoder (AE) to reduce the dimensionality of the data and extract hidden layer features. The model is then built using the feature data. In addition, we computed the correlation between patients using the Pearson correlation coefficient, and this relationship between patients forms the edge of the graph structure. Four graph convolutional network layers and two residual networks with skip connections make up RRGCN, which reduces the amount of information lost during transmission between layers and prevents model degradation. Results: The results show that RRGCN significantly outperforms other classification methods with an accuracy as high as 0.87 when compared to four other traditional machine learning methods and deep learning models. Conclusion: In terms of subtype classification, RRGCN excels in all areas and has the potential to offer fresh perspectives on disease mechanisms and disease progression. It has the potential to be used for a broader range of disorders and to aid in clinical diagnosis.

An orally available hypoglycaemic peptide taken up by caveolae transcytosis displays improved hypoglycaemic effects and body weight control in db/db mice.

BACKGROUND AND PURPOSE: Type 2 diabetes is one of the most severe chronic diseases and is an increasingly important public health problem worldwide. Several agonists of the glucagon-like peptide-1 (GLP-1) receptor have been developed to treat Type 2 diabetes but most of them are administered by injection. This mode of administration seriously reduces patient compliance and increases the risk of infection. Here, we describe the actions of a novel, orally available, GLP-1 receptor agonist - oral hypoglycaemic peptide 2 (OHP2) - derived from exendin-4 by replacing amino acids. We have also investigated its pharmacokinetic profiles, therapeutic effects and absorption mechanism. EXPERIMENTAL APPROACH: Healthy Wistar rats were used for pharmacokinetic analyses. In diabetic db/db mice. OHP2 was given for 8 weeks to evaluate its effects on hyperglycaemia, dyslipidaemia, basal metabolism and tissue injury. Possible endocytosis and transcytosis mechanisms of OHP2 uptake were explored in Caco-2 cell monolayers. KEY RESULTS: In rats, the absolute bioavailability of orally administered OHP2 was 20-fold greater than that of orally administered exendin-4. In db/db mice, OHP2 dose-dependently exhibits good potential in glucose-lowering and weight loss after oral administration. OHP2 also alleviated hyperlipidaemia, ameliorated energy metabolism and promoted tissue repair in diabetic mice. Furthermore, uptake of OHP2 by Caco-2 cells was dependent on caveolae-mediated transcytosis rather than endocytosis mediated by GLP-1 receptors. CONCLUSIONS AND IMPLICATIONS: OHP2 is a potential, orally bioavailable, candidate drug for the treatment of Type 2 diabetes. Its transcytosis mechanism of uptake could help in the development of absorption enhancers of OHP2.

Comprehensive Analysis of CDCAs Methylation and Immune Infiltrates in Hepatocellular Carcinoma.

BACKGROUND: As essential components of cycle growth, the cell division cycle-associated family genes (CDCAs) have crucial roles in tumor development and progression, especially in hepatocellular carcinoma (HCC). However, due to the tumor heterogeneity of HCC, little is known about the methylation variability of CDCAs in mediating phenotypic changes (e.g., immune infiltrates) in HCC. Presently, we aim to comprehensively explore the expression and prognosis of CDCAs methylation with regard to immune infiltrates of HCC. METHODS: We first identified the correlating differentially expressed genes (co-DEGs) among 19 different types of cancer cohorts (a total of 7,783 patients) and then constructed the weighted gene co-expressed and co-methylated networks. Applying the clustering analysis, significant modules of DEGs including CDCAs were selected and their functional bioinformatics analyses were performed. Besides, using DiseaseMeth and TIMER, the correlation between the methylation levels of CDCAs and tumor immune infiltrates was also analyzed. In final, to assess the influence of CDCAs methylation on clinical prognosis, Kaplan-Meier and Cox regression analysis were carried out. RESULT: A total of 473 co-DEGs are successfully identified, while seven genes of CDCAs (CDCA1-3 and CDCA5-8) have significant over-expression in HCC. Co-expressed and co-methylated networks reveal the strong positive correlations in mRNA expression and methylation levels of CDCAs. Besides, the biological enrichment analysis of CDCAs demonstrates that they are significantly related to the immune function regulation of infiltrating immune cells in HCC. Also, the methylation analysis of CDCAs depicts the strong association with the tumor immunogenicity, i.e., low-methylation of CDCA1, CDCA2, and CDCA8 dramatically reduced the immune infiltrate levels of T cells and cytotoxic lymphocytes. Additionally, CDCA1-6 and CDCA8 with low-methylation levels significantly deteriorate the overall survival of patients in HCC. CONCLUSIONS: The co-expressed and co-methylated gene networks of CDCAs show a powerful association with immune function regulation. And the methylation levels of CDCAs suggesting the prognostic value and infiltrating immune differences could be a novel and predictive biomarker for the response of immunotherapy.

Highly porous and chemical resistive P(TFEMA-DVB) monolith with tunable morphology for rapid oil/water separation.

A facile preparation for a series of porous poly(2,2,2-trifluoroethylmethacrylate-divinylbenzene) P(TFEMA-DVB) foams is discussed in this paper. The foams have adjustable morphology utilizing a suitable commercial surfactant, Hypermer B246, as stabilizer, and were compared with traditional organic surfactants or macromolecular block-polymers. Combining the porous properties and advantages of fluorine atoms, this type of fluoropolymer exhibited superb chemical stability and hydrophobicity performances with high porosity. These porous fluoro-monoliths preserved their regular porous structure without any degradation after immersion into strong acidic or basic solution for three days, hence demonstrating an excellent potential to deal with environmental pollution caused by oil spillages in severe environments. The tunable morphology (open and closed pores) and pore sizes were achieved by investigating various parameters like surfactant concentration, amount of external crosslinker, and aqueous phase volume. Droplet sizes of HIPEs were characterized using an optical microscope under different experimental conditions. The influence of pore structure and surface properties of polyHIPE on water contact angle and oil adsorption capacity was also explored. The results indicated that the porous material has an excellent oleophilicity and hydrophobicity, with water contact angles (WCA) up to 146.4°. Additionally, the results presented a noticeable adsorption with a very fast rate towards organic oils from either a water surface or bottom with adsorption saturation achieved in about 120 s. The prepared polyHIPEs showed a good recycling ability; even after 10 adsorption-centrifugation experiments, the adsorption capacity was still more than 85%.

A novel derivative of quinazoline, WYK431 induces G2/M phase arrest and apoptosis in human gastric cancer BGC823 cells through the PI3K/Akt pathway.

WYK431, a novel synthetic quinazoline derivative, showing potent inhibition of proliferation activity against a broad spectrum of human cancer cell lines. We investigated the anticancer effects of WYK431 on BGC823 cells both in vitro and in vivo. The results showed that WYK431 inhibited proliferation, arrested the cell cycle at the G(2)/M phase, which was related to CDK1 and CDC25C, and induced apoptosis associated with activation of caspase-3 and caspase-9 rather than caspase-8 in BGC823 cells. Treatment of BGC823 cells with WYK431 resulted in upregulation of Bax, release of cytochrome c from the mitochondria to the cytosol and disruption of mitochondrial membrane potential. Western blot analysis showed that WYK431 downregulated the levels of the PI3K/Akt signaling pathway. Moreover, WYK431 effectively suppressed tumor growth in xenograft models in BALB/c athymic nude mice without major side action. TUNEL analysis showed that WYK431 induced BGC823 cell apoptosis in vivo. Collectively, WYK431 is a novel small molecule agent which inhibits BGC823 cell proliferation inducing G(2)/M phase arrest and apoptosis via the mitochondrial apoptotic pathway. To assess its potential as a promising anticancer agent requires further investigation.

[Correlation of hepatitis B virus X antigen expression with liver cell apoptosis].

OBJECTIVE: To study the roles of hepatitis B virus (HBV) X antigen (HBxAg) in development of HBV-related liver diseases and carcinogenesis. METHODS: Liver tissues were collected from patients with HBV infection (HBV carriers, n = 14; chronic hepatitis B (CHB), n = 24), HBV-related liver cirrhosis (LC, n = 20), or hepatocellular carcinoma (HCC, n = 20). Immunohistochemistry was used to detect the expression of HBxAg and the host apoptosis-related genes Fas and Fas ligand (Fas-L). The correlations of HBxAg with HBV DNA level in serum, inflammation grade, and fibrosis stage were statistically analyzed. Liver inflammation grade and fibrosis stage were in accordance with Knodell standard. x2test and Fisher's exact test were adopted in count data, x2split method was adopted in pariwise comparisons between multiple samples, Rank-sum test was adopted in ranked data, Spearman rank correlation analysis was adopted in correlation analysis. RESULTS: The rates of HBxAg-positivity were similar between the patients with HBV infection (71.1%), LC (60.0%), and HCC (65.0%) (x2= 0.754, P = 0.686). The rates of Fas- and Fas-L-positivity in liver cells were also similar between the three groups (Fas: 28.9% vs. 20.0% vs. 5.0%, x2= 4.667, P = 0.101; Fas-L: 36.8% vs. 50.0% vs. 60.0%, x2= 2.988, P = 0.225). However, the positive rate of Fas in lymphocytes of liver tissue was significantly higher in the HCC patients than in the HBV-infected patients (90.0% vs. 68.4%, Z = -4.360, P = 0.00001). The expressions of HBxAg and Fas-L corresponded to regions of severe inflammation in tissues from LC patients and some HCC patients. Furthermore, the expression of HBxAg was positively correlated with Fas (r = 0.304, P = 0.02) and Fas-L (r = 0.368, P = 0.004) in the HBV-infected patients and LC patients, and the expression of Fas was positively correlated with that of Fas-L (r = 0.448, P = 0.0004). Patients with high and medium loads of HBV DNA showed significantly higher rates of HBxAg-positivity than those with low loads (88.9% and 69.2% vs. 26.7%, P less than 0.05). CONCLUSION: In the early stage of chronic HBV infection, HBxAg may induce liver cell apoptosis by up-regulating Fas expression, and in the later stage, HBxAg may induce immune escape by up-regulating Fas-L expression in liver cells. Together, HBxAg and high HBV DNA load may promote chronic HBV infection and progression to hepatocarcinogenesis.

Synthesis and antitumor activity of novel 2-(1-substituted-piperidin-4-ylamino)quinazolines as antitumor agents.

A variety of novel 2-(1-substituted-piperidine-4-ylamino)quinazoline derivatives were prepared and their antiproliferative activities on five cancer cell lines were evaluated by MTT assay. Quinazolines 4j-4l, 5a, 5b and 5d bearing a small hydrophobic alkyl group on piperidine ring exhibited potent antitumor activities with IC50 values at micromolar level. Compound 41 displayed significant in vivo antitumor activity with 72.9% inhibition on H22 tumor growth and 80% inhibition on Lewis lung cancer growth at a dose of 200 mg x kg(-1).

[The cloning, expression, purification and immunological identification of wild-type and mutant hepatitis B virus X gene in pGEX-6P-2 system].

To settle the foundation for the future research on the influence of wild and mutant (A1762T/ G1764A) HBV X gene on the progress of chronic HBV infection and hepatic tumorigenicity, wild and mutant (A1762T/G1764A) HBxAgs expression system was constructed. The wild and mutant (A1762T/ G1764A) HBV X genes were amplified with polymerase chain reaction (PCR) from HBV genome were inserted into pGEX-6P-2 and confirmed by sequencing respectively. Prokaryotic expression vectors pGEX-6P-2-hbvx(w) and pGEX-6P-2-hbvx(m) (A1762T/G1764A) were constructed and transformed to Trans1-blue; wild and mutant HBxAgs were expressed through IPTG induction respectively; after refolding of inclusion body, the wild and mutant HBxAgs were purified with GSTrap FF; and analysised by SDS-PAGE, Western blot and ELISA. SDS-PAGE analysis showed that the expression system was able to express target protein efficiently; the concentrations of purified wild HBxAg and mutant HBxAg were 4.88 mg/mL and 5.07 mg/mL respectively; Western blot analysis certified both the wild HBxAg and the mutant HBxAg could be recognized by the same monoclonal antibody against HBxAg; the two expressed fusion antigens coated in microtiter plate were able to react with the sera of HBV infected patients but not with the sera from healthy donors in ELISA. Results demonstrated that we successfully established a system for expression of hepatitis B x antigen and lay the foundation for further research on the role and molecular mechanisms of the mutant HBxAg in the progress of chronic HBV infection and hepatic tumorigenicity.

[Diagnostic value of transbronchial needle aspiration and endobronchial ultrasound-guided transbronchial needle aspiration for hilar and mediastinal lymph nodes in lung cancer patients].

BACKGROUND AND OBJECTIVE: Transbronchial needle aspiration (TBNA) and endobronchial ultrasound-guided TBNA (EBUS-TBNA) have been applied to the diagnosis for mediastinal lymph nodes. The aim of this study is to evaluate the clinical value and safety of TBNA and EBUS-TBNA on hilar and mediastinal lymph nodes of lung cancer patients. METHODS: Two hundred fifty patients with suspected lung cancer were enrolled. All petients with hilar and/or m lymphoadenopa-ediastinal thy found by CT scan received TBNA, biopsy and brushing. EBUS-TBNA was performed in 15 patients among them. RESULTS: Lung cancer were confirmed in 180 patients by TBNA, biopsy and brushing. The positive rates were 82.86%, 51.24% and 45.45%. Fifteen patients after EBUS-TBNA had a positive rate of 91.67%. CONCLUSION: TBNA and EBUS-TBNA were proved to be safe procedure with a high yield for the diagnosis ofhilar and mediastinal lymph nodes in lung cancer patients.

Coexpression of cyclooxygenase-2 and vascular endothelial growth factor in gastrointestinal stromal tumor: possible relations to pathological parameters and clinical behavior.

BACKGROUND/AIMS: Currently, the clinicopathological significance of coexpression of cyclooxygenase-2 (COX-2) and vascular endothelial growth factor (VEGF) in gastrointestinal stromal tumors (GISTs) has not been fully described. METHODOLOGY: The present study was designed to investigate the co-expression of the two markers and its significance in 54 patients with GIST by means of immunohistochemistry. RESULTS: We demonstrated that the expressions of COX-2 and VEGF were significantly higher in malignant GIST than those in benign and potentially malignant GIST (p<0.01). A significant correlation was found between COX-2 and VEGF expression. In addition, the expressions of COX-2 and VEGF were significantly correlated with pattern of tumor growth, the size of tumors, and the central necrosis of tumors (p<0.01 or p<0.05). Five-year survival rates were much lower in patterns with high expression of COX-2 and VEGF than those with low expression (p<0.01). Overexpression of COX-2 and VEGF in GIST may enhance the possibility of growth, invasion, and metastasis. CONCLUSIONS: The levels of COX-2 and VEGF expression can be used as objective parameters in distinguishing benign from malignant, judging the malignant degree, and predicting the prognosis of patients with GIST.

[Expression and clinical significance of matrix metalloproteinase in gastric stromal tumor].

OBJECTIVE: To investigate the expression and clinical significance of matrix metalloproteinase (MMP) in gastric stromal tumor (GST). METHODS: MMP-2 and MMP-9 expression were determined by immunohistochemistry in tumor tissues in 44 patients with GST, and their relationship with clinicopathologic factors of the neoplasm was also investigated. RESULTS: MMP-2 and MMP-9 were expressed in the cytoplasm in 84.1% (37/44) and 81.8% (36/44) of tumors, respectively. The positive rates of MMP-2 and MMP-9 increased significantly in parallel to the increase in tumor malignancy (P < 0.05) and associated with pattern of tumor growth, tumor size, and centre necrosis (P < 0.05). In addition, there was a statistically significant positive correlation between the expression of the two markers in GST (r = 0.6523, P < 0.05). Furthermore, the 5-year postoperative survival rates of patients with positive expressions of MMP-2 and MMP-9 were significantly lower than those of patients with negative expressions of the two markers (P < 0.05). CONCLUSION: Over expression of MMP-2 and MMP-9 can be served as objective markers to judge the malignant degree and, to predict the prognosis of patients with GST.