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The Pathological Structure of the Perivascular Niche in Different Microvascular Patterns of Glioblastoma.

PLoS ONE(2017)SCI 3区

Fujian Med Univ | Tsinghua Univ | Capital Med Univ

Cited 21|Views24
Abstract
The perivascular niche is critical for intercellular communication between resident cell types in glioblastoma (GBM), and it plays a vital role in maintaining the glioma stem cell (GSC) microenvironment. It is shown in abundant research that different microvascular patterns exist in GBM; and it can be implied that different microvascular patterns are associated with different pathological structures in the perivascular niche. However, the pathological structure of the perivascular niche is still not clear. Here, we investigated the distribution and biological characteristics of different microvascular pattern niches (MVPNs) in GBM by detecting the expression of CD34, CD133, Nestin, α-SMA, GFAP and CD14 in the perivascular niche using multiple -fluorescence. The four basic microvascular patterns are microvascular sprouting (MS), vascular cluster (VC), vascular garland (VG), and glomeruloid vascular proliferation (GVP). By analyzing the proportion of the area of each marker in four types of formations, the results indicated that the expression of CD34, CD133 and Nestin in MS and VC was significantly lower than that in VG and GVP (P<0.05). Furthermore, the results showed that α-SMA expression different in the MS, VC, VG and GVP (P<0.05). However, the expression of GFAP and CD14 in each type of formation exhibited no significant difference (P>0.05). According to the area distributions of different markers, we mapped four precise simulation diagrams to provide an effective foundation for the accurate simulation of glioblastoma in vitro.
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要点】:论文探讨了不同微血管模式的胶质oblastoma(GBM)周围血管生态位的病理结构,揭示了不同微血管模式与周围血管生态位病理结构的关系。

方法】:通过检测CD34、CD133、Nestin、α-SMA、GFAP和CD14在GBM周围血管生态位的表达,使用多荧光技术分析不同微血管模式生态位(MVPNs)的分布和生物学特性。

实验】:研究分析了四种基本微血管模式(微血管出芽、血管簇、血管花环和肾小球样血管增殖)中各标记物的表达比例,使用的数据集名称未明确提及,但结果指出MS和VC中CD34、CD133和Nestin的表达显著低于VG和GVP,而α-SMA在不同模式中表达有差异,GFAP和CD14的表达则无显著差异,并据此绘制了四种精确的模拟图。