BACKGROUNDGastric cancer ranks high among the most common causes of cancer-related death worldwide. This study was designed to explore key genes involved in the progression of normal gastric epithelial cells to moderate gastric epithelial dysplasia (mGED) and to gastric cancer.

METHODSTwelve pairs of mGED tissues, gastric cancer tissues, and normal gastric tissues were collected by gastroscopy. Total RNA was then extracted and purified. After the addition of fluorescent tags, hybridization was carried out on a Gene chip microarray slide. Significance analysis of microarrays was performed to determine significant differences in gene expression between the different tissue types.

RESULTSMicroarray data analysis revealed totally 34 genes that were expressed differently: 18 highly expressed (fold change > 2; P < 0.01) and 16 down-regulated (fold change > 2; P < 0.01). Of the 34 genes, 24 belonged to several different functional categories such as structural molecule activity, extracellular regions, structural formation, cell death, biological adhesion, developmental processes, locomotion, and biological regulation that were associated with cancer. The remaining 10 genes were not involved in cancer research. Of these genes, the expression levels of Matrix metalloproteinase-12 (MMP12), Caspase-associated recruitment domain 14 (CARD14), and Chitinase 3-like 1 (CHI3L1) were confirmed by semi-quantitative RT-PCR. A two-way clustering algorithm divided the 36 samples into three categories and the overall correct classification efficiency was 80.6% (29/36). Almost all of these genes (31/34) showed constant changes in the process of normal gastric epithelial cells to mGED to gastric cancer.

CONCLUSIONSThe results of this study provided global gene expression profiles during the development and progression from normal gastric epithelial cells to mGED to gastric cancer. These data may provide new insights into the molecular pathology of gastric cancer which may be useful for the detection, diagnosis, and treatment.

Adult ; Aged ; Epithelial Cells ; metabolism ; Gastric Mucosa ; metabolism ; pathology ; Humans ; Middle Aged ; Reverse Transcriptase Polymerase Chain Reaction ; Stomach ; metabolism ; pathology ; Stomach Neoplasms ; genetics ; Transcriptome ; genetics

Objective To develop neutralizing monoclonal antibodies (MAbs) against H10N8 avian influenza virus hemagglutinin and to identify the binding sites. Methods MAbs against hemagglutinin of H10N8 avian influenza virus were developed by genetic engineering. Neutralizing MAbs were screened by microneutralization assay,and then tested by enzyme-linked immunosorbent assay and Western blot to identity the binding sites.The homology modeling process was performed using Discovery Studio 3.5 software,while the binding epitopes were analyzed by BioEdit software. Results One MAb that could neutralize the H10N8 pseudovirus was obtained and characterized. Analysis about epitopes suggested that the antibody could bind to the HA1 region of hemagglutinin,while the epitopes on antigen were conserved in H10 subtypes.Conclusions One neutralizing antibody was obtained by this research.The MAb may potentially be further developed as a pre-clinical candidate to treat avian influenza H10N8 virus infection.
Antibodies, Monoclonal ; immunology ; Antibodies, Neutralizing ; immunology ; Antibodies, Viral ; immunology ; Enzyme-Linked Immunosorbent Assay ; Epitopes ; immunology ; Hemagglutinin Glycoproteins, Influenza Virus ; immunology ; Influenza A Virus, H10N8 Subtype ; Neutralization Tests

Background Gastric cancer ranks high among the most common causes of cancer-related death worldwide.This study was designed to explore key genes involved in the progression of normal gastric epithelial cells to moderate gastric epithelial dysplasia (mGED) and to gastric cancer.Methods Twelve pairs of mGED tissues,gastric cancer tissues,and normal gastric tissues were collected by gastroscopy.Total RNA was then extracted and purified.After the addition of fluorescent tags,hybridization was carried out on a Gene chip microarray slide.Significance analysis of microarrays was performed to determine significant differences in gene expression between the different tissue types.Results Microarray data analysis revealed totally 34 genes that were expressed differently:18 highly expressed (fold change＞2; P＜0.01) and 16 down-regulated (fold change ＞2; P ＜0.01).Of the 34 genes,24 belonged to several different functional categories such as structural molecule activity,extracellular regions,structural formation,cell death,biological adhesion,developmental processes,locomotion,and biological regulation that were associated with cancer.The remaining 10 genes were not involved in cancer research.Of these genes,the expression levels of Matrix metalloproteinase-12 (MMP12),Caspase-associated recruitment domain 14 (CARD14),and Chitinase 3-like 1 (CHI3L1)were confirmed by semi-quantitative RT-PCR.A two-way clustering algorithm divided the 36 samples into three categories and the overall correct classification efficiency was 80.6％ (29/36).Almost all of these genes (31/34) showed constant changes in the process of normal gastric epithelial cells to mGED to gastric cancer.Conclusions The results of this study provided global gene expression profiles during the development and progression from normal gastric epithelial cells to mGED to gastric cancer.These data may provide new insights into the molecular pathology of gastric cancer which may be useful for the detection,diagnosis,and treatment.

To establish the high performance liquid chromatography (HPLC) fingerprint for Digeda-4 decoction (DGD-4D), determine the contents of aesculetin, geniposide, picroside Ⅰ, picroside Ⅱ and ellagicacid in DGD-4D, and provide the scientific foundation for quality control of DGD-4D. The analysis was performed on Diamonsil(2) C₁₈ (4.6 mm×250 mm,5 μm) column, with methanol-0.1% phosphoric acid aqueous solution as mobile phase for gradient elution. The flow rate was 1.0 mL·min⁻¹; injection size was 10 μL; temperature was maintained at 30 °C, and the detection wavelength was set at 254 nm. The common mode of DGD-4D HPLC fingerprint was established, and the hidden information was analyzed by Chemometrics. Chromatographic peaks for DGD-4D were identified by HPLC and quantitative analysis was conducted for characteristic peaks. There were 17 common peaks in the fingerprints and the similarity of the fingerprints was over 0.9 in all 15 batches. The samples were broadly divided into four kinds by principal component analysis and clustering analysis. Four marker compounds were verified by partial least squares discriminant analysis, and No. 9, 12 and 14 peaks were identified as geniposide, picroside Ⅱ, and picroside Ⅰ respectively. The average recoveries were in the range of 95.91%-97.31%. The HPLC fingerprint method for content determination is reliable, accurate, rapid, simple, and reproducible, and can be used as one of the effective methods to control the quality of DGD-4D.
Chromatography, High Pressure Liquid ; Cinnamates ; Drugs, Chinese Herbal ; analysis ; standards ; Iridoid Glucosides ; Iridoids ; Methanol ; Principal Component Analysis ; Quality Control