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1.
China Pharmacy ; (12): 2090-2094, 2023.
Article in Chinese | WPRIM | ID: wpr-987137

ABSTRACT

OBJECTIVE To explore the effects of Yupingfeng granules on the improvement of epithelial barrier function and the inhibition of tumor metastasis by regulating epithelial-mesenchymal transition (EMT). METHODS Thirty C57BL/6 mice were randomly divided into the normal group (distilled water),model group (distilled water) and Yupingfeng granule group (40 g/kg), with 10 mice in each group. The model group and Yupingfeng granule group were inoculated with Lewis lung cancer cells subcutaneously in the right armpit to induce the spontaneous lung metastasis model. After modeling,each group was given water/ relevant medicine intragastrically,once a day,for 15 consecutive days. The effects of Yupingfeng granules on tumor metastasis were investigated by observing or determining the pathomorphology of lung tissue,metastatic lesion count on the surface of the lung, tumor metastatic lesion and the expression of carcinoembryonic antigens. qRT-PCR and Western blot assay were used to detect the mRNA and protein expressions of β-catenin,E-cadherin and vimentin in the lung tissue of mice. RESULTS Compared with the model group,the total number of pulmonary metastases on the surface was decreased significantly in Yupingfeng granule group (P< 0.05),the general morphology of lung tissue was recovered,and the expression of carcinoembryonic antigen in lung tissue was significantly decreased (P<0.05). mRNA and protein expressions of E-cadherin in lung tissue were significantly increased (P< 0.05),while mRNA and protein expressions of vimentin and β-catenin were significantly decreased (P<0.05). CONCLUSIONS Yupingfeng granules can inhibit EMT by regulating the expression of β-catenin,thus improving epithelial barrier function,and inhibiting the ability of tumor cells to invade and metastasize.

2.
China Pharmacist ; (12): 35-37,45, 2017.
Article in Chinese | WPRIM | ID: wpr-606110

ABSTRACT

Objective:To study the HPLC fingerprint of Xinan capsules from different manufacturers, and establish the chemical pattern recognition method by using principal component analysis and cluster analysis in order to provide reference for the quality con-trol of Xinan capsules. Methods:The HPLC chromatographic column was Agilent ZORBAX SB-C18 (250 mm × 4. 6 mm, 5 μm);the mobile phase was 0.1% formic acid(A)-acetonitrile(B)– tetrahydrofuran(C) with gradient elution, the flow rate was 1.0 ml· min-1;the detection wavelength was 350 nm and the column temperature was 30 ℃. Totally 15 batches of samples were analyzed by the Evaluation System of Traditional Chinese Medicine Chromatographic Fingerprint Similarity (2004A version) and SPSS 19. 0 statisti-cal software. Results:According to the results of cluster analysis and principal component analysis, 10 batches of Xinan capsules were screened out, and the fingerprint common pattern was established. Conclusion:The method is accurate and reliable, and can be used to control the quality of Xinan capsules.

3.
Chinese Journal of Postgraduates of Medicine ; (36): 18-19, 2012.
Article in Chinese | WPRIM | ID: wpr-419292

ABSTRACT

Objective To investigate the relationship between D-dimer levels and the clinical stage and pathological grade of patients with ovarian cancer.Methods The clinical data of 66 patients with ovarian cancer whose D-dimer had been monitored before surgery were retrospectively analyzed.The relationship between D-dimer levels and the clinical stage,pathological grade was evaluated.Results D-dimer levels before surgery were uncorrelated with the patient's age (r =0.1324,P > 0.05 ).There was significant difference in D-dimer levels between FIGO Ⅰ + Ⅱ patients and FIGO Ⅲ + Ⅳ patients [(377.89 ± 183.85) mg/L vs.(858.03 ± 138.29) mg/L] (t =11.602,P<0.01).There was significant difference in D-dimer levels between high-moderately differentiated patients and poorly differentiated patients [(463.39 ±246.85) mg/L vs.(784.64 ±265.69) mg/L](t =4.983,P<0.01).Conclusions D-dimer levels are related with the clinical stage and pathological grade of patients with ovarian cancer.It can predict the harmful biological behaviour of ovarian cancer.

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