ABSTRACT
It is of great clinical significance in the differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM) because there are enormous differences between them in terms of therapeutic regimens. In this paper, we propose a system based on sparse representation for automatic classification of PCNSL and GBM. The proposed system distinguishes the two tumors by using of the different texture detail information of the two tumors on T1 contrast magnetic resonance imaging (MRI) images. First, inspired by the process of radiomics, we designed a dictionary learning and sparse representation-based method to extract texture information, and with this approach, the tumors with different volume and shape were transformed into 968 quantitative texture features. Next, aiming at the problem of the redundancy in the extracted features, feature selection based on iterative sparse representation was set up to select some key texture features with high stability and discrimination. Finally, the selected key features are used for differentiation based on sparse representation classification (SRC) method. By using ten-fold cross-validation method, the differentiation based on the proposed approach presents accuracy of 96.36%, sensitivity 96.30%, and specificity 96.43%. Experimental results show that our approach not only effectively distinguish the two tumors but also has strong robustness in practical application since it avoids the process of parameter extraction on advanced MRI images.
ABSTRACT
Objective To explore the mechanism of the formation of glioma cells derived vessels (GCDV).Methods The tubular formation assay was performed on 3D cell cultures of U87,U251,U373,SF295,T98G,SKMG-4 and C6 glioma cell lines.The expression of Notch1 、Dll4 were examined by western blot analysis.Result The mean number of vasculogenic channels of cell lines C6,U373,U87,T98G,SF295,U251 and SKMG-4 per area (100×) were 25.2±5.0,36.4±3.2,19.0±2.2,12.6±2.4,4±2.2,0.2±0.4 and 0,respectively.The relative protein densities of Notchl in U87,U251,T98G,SF295,SKMG-4,C6 and U373 were 0.34,0.21,0.79,0.04,0.28,1.75 and 1.19,which were significantly related with the tubular formation ability (P＜0.05).However,the expression of Dll4 was not associated with tubular formation ability (P＞0.05).Conclusion Notch1 may play a key role in tubular formation of glioma cells while the role of Dll4 in the process needs further study.
ABSTRACT
To study the chemical constituents of Veratrum dahuricum (Turcz.) Loes. f., a new aurone glycoside named as (Z)-7, 4'-dimethoxy-6-hydroxyl-aurone-4-O-β-glucopyranoside was isolated from the 95% ethanol extracts of the rhizomes and roots of Veratrum dahuricum (Turcz.) Loes. f. by repeated column chromatography on silica gel and recrystallization. Its structure was established by extensive spectroscopic analyses, and its cytotoxicities against HepG-2, MCF7 and A549 cell lines were measured in vitro.
ABSTRACT
An efficient modified route based on the targeting mechanism of antibacterial fluoroquinolones for the shift from the antibacterial activity to the antitumor one was further developed. Using a fused heterocyclic ring, s-triazolothiadiazine as a carboxyl bioisostere of ciprofloxacin, the title compounds, 1-cyclopropyl-6-fluoro-7-piperazin-1-yl-3-(6-substituted-phenyl-7H-[1, 2, 4]triazolo[3, 4-b][1, 3, 4]thiadiazin-3-yl)-quinolin-4(1H)-ones (5a-5e) and their corresponding N-acetyl products (6a-6e), were designed and synthesized, separately. Meaningfully, a ring-contraction of fused six-membered thiadiazine occurred by a sulfur extrusion reaction gave new tri-acetylated fused heterocycles related to pyrazolo[5, 1-c][1, 2, 4] triazoles (7a-7e). The in vitro antitumor activity against L1210, CHO and HL60 cell lines was also evaluated for the synthesized fifteen heterocycles compared to parent ciprofloxacin by methylthiazole trazolium (MTT) assay. Interestingly, the results displayed that fifteen fused heterocyclic compounds showed more significant growth inhibitory activity (IC50 150.0 micromol x L(-1)), and the active order decreased from 7a-7e to 5a-5e to 6a-6e, respective.