[Relationship of Serum D-dimer, Fibrinogen, C Reactive Protein and Interleukin 6 with Thrombus Dissolution Volume in Acute Iliac Femoral Vein Thrombosis Model Rats].

OBJECTIVE: To explore the relationship among the serum D- two polymer, fibrinogen, C reactive protein and interleukin 6 and thrombus dissolution volume in acute iliac femoral venous thrombosis model rats. METHODS: A total of 60 rats were randomly divided into 3 groups: deep venous thrombosis group (DVT group), sham operation group and normal control group. In DVT group the single side of the iliofemoral vein incomplete with micro vessel was cliped under chloral hydrate anesthesia; in sham operation group the single side of the iliofemoral vein should be explored without using micro vessel clip under chloral hydrate anesthesia; the and normal control group only experienced chloral hydrate anesthesia. A positive correlation was showed between the 2 time points of D-dimer and the corresponding thrombolytic volume, and the Pearson coefficient was 0.307, and R2 was 0.412 (P<0.05). RESULTS: The D-dimer, fibrinogen, C reactive protein and interleukin-6 levels before and after treatment of 60 rats were shown to be significantly different (P<0.05) between DVT group, sham operation group and normal control group. The D-dimer and fibrinogen level was first rised and then decreased in DVT group, sham operation group. There was a positive correlation between C reactive protein/interleukin-6 and the level of D-dimer /fibrinogen from T1 to T3 time point (P<0.05). There was a negative correlation between C reactive protein/interleukin-6 and the level of D-dimer /fibrinogen from T4 to T6 time point (P<0.05). CONCLUSION: The changes of serum D-dimer, fibrinogen, C reactive protein and interleukin 6 in the acute iliac femoral vein thrombosis model firstly increase and then decrease. These changes can reflect the process of blood coagulation and fibrin dissolution in the course of venous thrombosis of iliac vein.

The effects of RNA interference mediated VEGF gene silencing on biological behavior of renal cell carcinoma and transplanted renal tumor in nude mice.

OBJECTIVE: This study was to explore the effects of RNA interference mediated vascular endothelial growth factor (VEGF) gene silencing on biological behavior of renal cell carcinoma (RCC), transplanted renal tumor and angiogenesis in nude mice. METHODS: The specific siRNA sequence targeting VEGF were designed and synthesized to construct hVEGF-siRNA plasmid which was transfected into RCC 786-O cells. Reverse transcriptase-polymerase chain reaction (RT-PCR) was used for the detection of VEGF gene expression and western blot was adopted for the examination of VEGF protein expression. The 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay was used to detect cell growth as well as cell migration and invasion. The transplanted renal tumor models in nude mice were established, and the growth condition of nude mice, and VEGF protein expression in transplanted tumor slices and the microvessel density (MVD) were detected. RESULTS: The expression level of VEGF mRNA in VEGF-siRNA group was significant lower than that in the control group and negative group, suggesting that establishment of plasmid specifically inhibited the expression of VEGF gene The expression level of VEGF protein in VEGF-siRNA group was significant lower than that in the control group and negative group. VEGF gene silencing has the significant inhibition effects on proliferation, migration and invasion of RCC 786-O cells. The tumor weight, VEGF protein positive rate and MVD in VEGF-siRNA group were significant lower than those in negative group and blank group. CONCLUSION: The VEGF gene silencing could inhibit the cell proliferation, migration and invasion of RCC 786-O cells; inhibition of VEGF protein expression could prevent transplanted RCC growth and tumor angiogenesis.

Identification of biomarkers for diagnosis of gastric cancer by bioinformatics.

BACKGROUND: We aimed to discover potential gene biomarkers for gastric cancer (GC) diagnosis. MATERIALS AND METHODS: Genechips of 10 GC tissues and 10 gastric mucosa (GM, para-carcinoma tissue, normal control) tissues were generated using an exon array of Affymetrix containing 30,000 genes. The differentially expressed genes (DEGs) between GC tissues and normal control were identified by the Limma package and analyzed by hierarchical clustering analysis. Gene ontology (GO) and pathway enrichment analyses were performed for investigating the functions of DEGs. Receiver operating characteristics (ROC) analysis was performed to measure the effects of biomarker candidates for diagnosis of GC. RESULTS: Totals of 896 up-regulated and 60 down-regulated DEGs were identified to be differentially expressed between GC samples and normal control. Hierarchical clustering analysis showed that DEGs were highly differentially expressed and most DEGs were up-regulated. The most significantly enriched GO-BP term was revealed to be mitotic cell cycle and the most significantly enriched pathway was cell cycle. The intersection analysis showed that most significant DEGs were cyclin B1 (CCNB1) and cyclin B2 (CCNB2). The sensitivities and specificities of CCNB1 and CCNB2 were both high (p<0.0001). Areas under the ROC curve for CCNB1 and CCNB2 were both greater than 0.9 (p<0.0001). CONCLUSIONS: CCNB1 and CCNB2, which were involved in cell cycle, played significant roles in the progression and development of GC and these genes may be potential biomarkers for diagnosis and prognosis of GC.