Objective To investigate the effect s of T lymphoma invasion and metastasis inducing factor 1 ( Tiam 1) antisense oligonucleotides (ASODN) on morphological remodeling of gast ric cancer cells. Methods The high-invasive and metastastic subgroup (MH ) was separated f rom human gast ric cancer cell line MKN245 (M0 ) by laminin adhesion method in vi t ro. And they were divided into four group s according to different further t reatment s : no t ransfection group (cont rol group ) , liposome t ransfection group , sense oligonucleotides2liposome t ransfection group ( SODN t ransfection with liposome group ) and antisense oligonucleotides2liposome t ransfection group (ASODN t ransfection with liposome group) . Then the expressions of Tiam 1 mRNA and protein were detected by RT-PCR and flowcytomet ry , respectively. The morphology changes between Tima 1 ASODN t ransfected MH cells and no t ransfected cells were observed by using HE stain , cytoskeletal protein stain and scanning elect ronic microscope (SEM) . Results Compared with the other group s , the expressions of Tiam 1 mRNA and protein in MH cells were significantly decreased af ter the cells were t ransfected with 0. 43 μmol/ L Tiam 1 ASODN ( P lt; 0. 01) . Additionally , it was observed that the t ransfected MH cells had less membrane surface projections , fewer or shortener pseudopodia , less irregular cytoskeletal network and less spotted-like actin bodys than no t ransfected MH cells did. Conclusion ASODN t ransfection could effectively suppress the expression of Tiam 1 and the remodeling in gast ric cancer cells , which may play an important role in the invasion and metastasis of gast ric cancer cells.
【Abstract】Objective To explore the effect against gastric cancer induced by Newcastle disease virus modified autologous tumor vaccine （NDV-ATV）pulsed dendritic cells(DCs). Methods The Newcastle disease virus infected the gastric cancer lines (MNK45) and was lost its activity. Peripheral blood mononuclear cell (PBMC) were cultured under condition of recombinant human granulocyte macrophage-colony stimulating factor (1 000 u/ml)+IL-4(1 000 u/ml) + TNF-α(100 ng/ml). The tumor antigen specific cytotoxic T lymphocytes (CTL) was generated from activated autologous T cell by the Newcastle disease virus infected the MNK45 pulsed DC. And Cyto Tox 96TM in vitro assayed the cytotoxicity of CTL to MNK45. Thawed gastric cancer cell antigen were used as control in these experiments. Results The killing rate of MNK45 by antigen specific CTL reached (90.15±9.82)%, which was nearly twice as high as that of control(60.57±5.74)%. The CTL had much higher cytotoxicity to different differentiated type of gastric cancer cells such as MGC803〔(52.23±6.45)% 〕 and SGC7901〔 (61.75±8.84)%〕, as compared with LOVO〔(9.11±3.42)%〕 and HepG2 〔 (8.30±3.12)%〕tumor cells(P＜0.05). Conclusion Efficient and specific of against gastric cancer immunoreaction can be induced in virtue of NDV-ATV pulsed DCs, NDV-ATV loaded DCs might provide a new kind of theraputic means for gastric cancer.
ObjectiveConstructing a prediction model for seizures after stroke, and exploring the risk factors that lead to seizures after stroke. MethodsA retrospective analysis was conducted on 1 741 patients with stroke admitted to People's Hospital of Zhongjiang from July 2020 to September 2022 who met the inclusion and exclusion criteria. These patients were followed up for one year after the occurrence of stroke to observe whether they experienced seizures. Patient data such as gender, age, diagnosis, National Institute of Health Stroke Scale (NIHSS) score, Activity of daily living (ADL) score, laboratory tests, and imaging examination data were recorded. Taking the occurrence of seizures as the outcome, an analysis was conducted on the above data. The Least absolute shrinkage and selection operator (LASSO) regression analysis was used to screen predictive variables, and multivariate Logistic regression analysis was performed. Subsequently, the data were randomly divided into a training set and a validation set in a 7:3 ratio. Construct prediction model, calculate the C-index, draw nomogram, calibration plot, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) to evaluate the model's performance and clinical application value. ResultsThrough LASSO regression, nine non-zero coefficient predictive variables were identified: NIHSS score, homocysteine (Hcy), aspartate aminotransferase (AST), platelet count, hyperuricemia, hyponatremia, frontal lobe lesions, temporal lobe lesions, and pons lesions. Multivariate logistic regression analysis revealed that NIHSS score, Hcy, hyperuricemia, hyponatremia, and pons lesions were positively correlated with seizures after stroke, while AST and platelet count were negatively correlated with seizures after stroke. A nomogram for predicting seizures after stroke was established. The C-index of the training set and validation set were 0.854 [95%CI (0.841, 0.947)] and 0.838 [95%CI (0.800, 0.988)], respectively. The areas under the ROC curves were 0.842 [95%CI (0.777, 0.899)] and 0.829 [95%CI (0.694, 0.936)] respectively. Conclusion These nine variables can be used to predict seizures after stroke, and they provide new insights into its risk factors.
