To explore an effective combination therapy for malignant ascites, the therapeutic value of the combination of Endostar, a modified recombinant human endostatin, and β-elemene, an active component of a traditional Chinese herb, in an H22 mouse malignant ascites model was investigated. The optimal dose combination of Endostar and β-elemene was determined by evaluating the inhibition of ascites volume and increase in the survival rate of the mice. Other therapeutic effects and the underlying mechanisms were investigated under the optimal dose combination (8 mg/kg Endostar plus 100 mg/kg β-elemene).
View Article and Find Full Text PDFZhonghua Fu Chan Ke Za Zhi
July 2010
Objective: To study the clearance of high risk human papillomavirus (HPV) infection among the women with normal cervical pathologic diagnosis.
Methods: One hundred and seventy-two HPV-positive cases with normal cervical pathologic diagnosis were enrolled in the study. The infection status of HPV was monitored during follow-up from Aug 2006 to Aug 2008.
Nan Fang Yi Ke Da Xue Xue Bao
July 2010
Objective: To investigate the effect of endostar in controlling ascites tumor formation in mice.
Methods: Mouse models bearing ascites tumors were established via intraperitoneal injection of H22 and S180 cell lines. Eighty-eight ICR mice were randomly assigned into 4 groups, namely the control group (0.
Toosendanone A (1), a new euphane (tirucallane)-type triterpene bearing a five-membered ring in the side chain and the first cyclopentanyl protolimonoid, was isolated from the bark of Melia toosendan, along with two new tirucallanes, toosendanic acids A (2) and B (3). The structure and absolute configuration of compound 1 was elucidated by spectroscopic data interpretation and X-ray diffraction analysis. Compounds 1-3 were evaluated for cytotoxicity against a small panel of cancer cell lines.
View Article and Find Full Text PDFThree-dimensional quantitative structure-activity relationship (3D-QSAR) studies were performed for a series of dipeptide boronate proteasome inhibitors using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) techniques. A training set containing 46 molecules served to establish the models. The optimum CoMFA and CoMSIA models obtained for the training set were all statistically significant with cross-validated coefficients (q(2)) of 0.
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