1.The effect of RNAi silencing NEDD9 on gastric cancer cell's biology
Sisen ZHANG ; Lihua WU ; Qing LIU ; Kuisheng CHEN
Chinese Journal of General Surgery 2014;29(10):779-782
Objective To study the effect of NEDD9 silence by using siNEDD9-2 on the apoptosis,proliferation and migration or invasion of gastric cancer cell lines BGC823.Methods Three pairs of NEDD9 siRNA primer were designed and synthesized,and then transfected into BGC823 cells respectively,it was found that siNEDD9-2 was the most powerful siRNA interference.The effect of siNEDD9-2 on BGC823 cell's proliferation,apoptosis,migration and invasion was observed.Results The relative quantity expression of mRNA and protein of BGC823 cells transfected with siNEDD9-2 significantly decreased and IR increased in both time and concentration dependent manner compared with control groups.Cell apoptosis and apoptosis index significantly increased compared with control groups.Cell migration and invasion assay showed that siNEDD9-2 inhibits BGC823 cells migration and invasion in vitro.Conclusions NEDD9 siRNA down-regulates expression of NEDD9,induces apoptosis,suppresses proliferation,migration or invasion of BGC823 cells.
2.The Study on the Correlation between Spiral CT Features and Expression of Cyclooxygenase-2, nm23 in Esophageal Carcinoma
Lijuan DU ; Jianbo GAO ; Xiaoan ZHANG ; Kuisheng CHEN ; Yiqiang LIU
Journal of Practical Radiology 2001;0(06):-
Objective To evaluate the correlation between spiral CT ( SCT ) features and expression of cyclooxygenase-2 , nm23 in esophageal carcinoma.Methods Spiral CT scans were preformed in 44 patients with esophageal carcinoma before operation, and the results were compared with that of operation and pathology. Immunohistochemical streptavidin peroxidase conjugate method was used to analyze the expression of Cox-2 and nm23 in esophageal carcinoma. Statistical analysis was performed with SPSS 12.0 software. Results (1) The accuracy of spiral CT scan in judging adjacent- infiltration and lymph node metastasis in 44 patients was 88.6%(39 of 44) and 90.9% (40 of 44) respectively,there was significant coincidence with operation and pathology(P
3.Effect of recombinant human tumor necrosis factor receptor-Fc fusion protein on the expression of transforming growth factor-β1 in interstitial lung disease of rats
Guanmin GAO ; Li JIANG ; Shengyun LIU ; Zhangsuo LIU ; Guojun ZHANG ; Kuisheng CHEN
Chinese Journal of Rheumatology 2008;12(11):754-756,插2
Objective To observe the effect of recombinant human tumor necrosis factor receptor-Fc fusion protein (rhTNFR-Fc, etanercept) on the expression of transforming growth factor-β1 (TGF-β1) in bleomycin induced interstitial lung disease of rats. Methods Forty-five male Sprague-Dawley (SD) rats were randomly divided into three groups (control group, model group and rhTNFR-Fc treatment group, 15 rats in each), on the 7th, 14th and 28th days, five rats of each group were killed. The lungs were incised to make pathological sections which were stained with HE and Masson, and the expression of TGF-β1 was detected by immunohistochemical technique. Results There was no collagen deposition, alveolitis and fibrosis changes in the control group. The alveolitis and fibrosis of the treatment group was less severe than that in the model group (P<0.01). The expression of TGF-β1 in the model group was significantly higher than that in the control group (P<0.01). In the 7th and 14th days, the expression of TGF-β1 in the treatment group was signific-antly higher than that in the control group (P<0.01). Although that in the 28th day was a slightly higher but no statistical significance (P>0.05) could be detected. In the treatment group, the expression of TGF-β1 was lower in the 7th day (P>0.05) and was significantly lower in the 14th and 28th days than that in the model group (P<0.01). Conclusion Recombinant human tumor necrosis factor receptor-Fc fusion protein can alleviate the severity of alveolitis and pulmonary fibrosis induced by Bleomycin-A5 in rats, which may be due to the inhibition of TGF-β1 overexpression.
4.Effect of RhoC Expression in Vascular Endothelial Cells on Proliferation and Invasion of Myeloma RPMI8226 Cells
Miaomiao SUN ; Kai LIU ; Tong WANG ; Sen QIU ; Zhihua ZHAO ; Kuisheng CHEN
Cancer Research on Prevention and Treatment 2022;49(4):299-303
Objective To investigate the effect of RhoC expression in vascular endothelial cells on the proliferation and invasion of myeloma RPMI8226 cells and its possible mechanism. Methods RhoC shRNA lentivirus vector was constructed and transfected into myeloma vascular endothelial cells (MVECs) and human umbilical vein endothelial cells (HUVECs). The effects of conditioned medium on the proliferation, cell cycle and invasion of RPMI8226 cells were detected by CCK-8 test, flow cytometry and Transwell test. The expression of CDK, CyclinD1, AKT, PI3K, MMP2 and MMP9 were detected by Western blot. Results The expression of RhoC in MVECs and HUVECs were downregulated. The proliferation and invasion of RPMI8226 cells in RhoC shRNA group were lower than those in negative control group, and the cell cycle was blocked in G0/G1 phase (
5.Preoperative prediction of vessel invasion in locally advanced gastric cancer based on venous phase enhanced CT radiomics and machine learning
Pan LIANG ; Liuliang YONG ; Ming CHENG ; Zhiwei HU ; Xiuchun REN ; Dongbo LYU ; Bingbing ZHU ; Mengru LIU ; Anqi ZHANG ; Kuisheng CHEN ; Jianbo GAO
Chinese Journal of Radiology 2023;57(5):535-540
Objective:To evaluate the value of preoperative prediction of vessel invasion (VI) of locally advanced gastric cancer by machine learning model based on the venous phase enhanced CT radiomics features.Methods:A retrospective analysis of 296 patients with locally advanced gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from July 2011 to December 2020 was performed. The patients were divided into VI positive group ( n=213) and VI negative group ( n=83) based on pathological results. The data were divided into training set ( n=207) and test set ( n=89) according to the ratio of 7∶3 with stratification sampling. The clinical characteristics of patients were recorded, and the independent risk factors of gastric cancer VI were screened by multivariate logistic regression. Pyradiomics software was used to extract radiomic features from the venous phase enhanced CT images, and the minimum absolute shrinkage and selection algorithm (LASSO) was used to screen the features, obtain the optimal feature subset, and establish the radiomics signature. Four machine learning algorithms, including extreme gradient boosting (XGBoost), logistic, naive Bayes (GNB), and support vector machine (SVM) models, were used to build prediction models for the radiomics signature and the screened clinical independent risk factors. The efficacy of the model in predicting gastric cancer VI was evaluated by the receiver operating characteristic curve. Results:The degree of differentiation (OR=13.651, 95%CI 7.265-25.650, P=0.003), Lauren′s classification (OR=1.349, 95%CI 1.011-1.799, P=0.042) and CA199 (OR=1.796, 95%CI 1.406-2.186, P=0.044) were independent risk factors for predicting the VI of locally advanced gastric cancer. Based on the venous phase enhanced CT images, 864 quantitative features were extracted, and 18 best constructed radiomics signature were selected by LASSO. In the training set, the area under the curve (AUC) of XGBoost, logistic, GNB and SVM models for predicting gastric cancer VI were 0.914 (95%CI 0.875-0.953), 0.897 (95%CI 0.853-0.940), 0.880 (95%CI 0.832-0.928) and 0.814 (95%CI 0.755-0.873), respectively, and in the test set were 0.870 (95%CI 0.769-0.971), 0.877 (95%CI 0.788-0.964), 0.859 (95%CI 0.755-0.961) and 0.773 (95%CI 0.647-0.898). The logistic model had the largest AUC in the test set. Conclusions:The machine learning model based on the venous phase enhanced CT radiomics features has high efficacy in predicting the VI of locally advanced gastric cancer before the operation, and the logistic model demonstrates the best diagnostic efficacy.
6.Bilineage embryo-like structure from EPS cells can produce live mice with tetraploid trophectoderm.
Kuisheng LIU ; Xiaocui XU ; Dandan BAI ; Yanhe LI ; Yalin ZHANG ; Yanping JIA ; Mingyue GUO ; Xiaoxiao HAN ; Yingdong LIU ; Yifan SHENG ; Xiaochen KOU ; Yanhong ZHAO ; Jiqing YIN ; Sheng LIU ; Jiayu CHEN ; Hong WANG ; Yixuan WANG ; Wenqiang LIU ; Shaorong GAO
Protein & Cell 2023;14(4):262-278
Self-organized blastoids from extended pluripotent stem (EPS) cells possess enormous potential for investigating postimplantation embryo development and related diseases. However, the limited ability of postimplantation development of EPS-blastoids hinders its further application. In this study, single-cell transcriptomic analysis indicated that the "trophectoderm (TE)-like structure" of EPS-blastoids was primarily composed of primitive endoderm (PrE)-related cells instead of TE-related cells. We further identified PrE-like cells in EPS cell culture that contribute to the blastoid formation with TE-like structure. Inhibition of PrE cell differentiation by inhibiting MEK signaling or knockout of Gata6 in EPS cells markedly suppressed EPS-blastoid formation. Furthermore, we demonstrated that blastocyst-like structures reconstituted by combining the EPS-derived bilineage embryo-like structure (BLES) with either tetraploid embryos or tetraploid TE cells could implant normally and develop into live fetuses. In summary, our study reveals that TE improvement is critical for constructing a functional embryo using stem cells in vitro.
Pregnancy
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Female
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Animals
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Mice
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Tetraploidy
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Blastocyst
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Embryo, Mammalian
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Cell Differentiation
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Embryonic Development