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Biologic tumor behavior in pilocytic astrocytomas.

机译:毛细胞星形细胞瘤中的生物学肿瘤行为。

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The aim is to describe the behavior of pilocytic astrocytoma (PAs) and its effects on patient prognosis by using flow cytometric, immunohistochemical and cytogenetic methods. We also aim to find out whether there is any difference between differently localized tumors by the above mentioned analyses.We studied DNA index, expression of p53, p16, pRb, MMAC/PTEN1, VEGF, MIB-1 index and chromosomal anomalies which can be detected by array comparative genomic hybridization (CGH) technique. We analyzed the association of the results of these studies with clinical prognosis and tumor localization. We included 53 patients (18 cerebellar, 20 chiasmatic/hypothalamic and 15 hemispheric). Samples were studied from paraffin embedded tumors.We found that PAs are mostly diploid and ploidy pattern does not affect the prognosis. The expression of p53, p16, pRb, MMAC/PTEN1 and VEGF was not significantly different between different localizations and could not predict the prognosis. Frequently seen copy number aberrations (CNAs) are: amplification in 1p36.33, 2p11.2, 9p11.2, 9q12, 16p11.2, 19q13.12-q13.2, Xp22.2-p21.3, Xp11.3-p11.22, Xq11.1-q12, Xq13.1, Xq21.1-q21.31, Xq22.3, Xq26.3 and homozygous deletion in 2p11.2, 8p23.1, 16p12.3. Among them, 2p11.2 amp, 9p11.2 amp and 1p36.21 hom del were correlated with prognosis. Moreover, we found a significant correlation between 16p11.2 amp and tumor localization.Differently localized PAs have different properties which make them behave with different biological aggressiveness. PAs demonstrate a significant amount of CNAs that can be detected by a high-resolution study. However, tumor suppressor genes p53, p16, pRb, MMAC/PTEN1 and expression patterns do not play a significant role in PAs.
机译:目的是通过流式细胞术,免疫组织化学和细胞遗传学方法描述细胞性星形细胞瘤(PAs)的行为及其对患者预后的影响。我们还试图通过上述分析发现不同部位的肿瘤之间是否存在差异。我们研究了DNA指数,p53,p16,pRb,MMAC / PTEN1,VEGF,MIB-1指数的表达以及染色体异常通过阵列比较基因组杂交(CGH)技术进行检测。我们分析了这些研究结果与临床预后和肿瘤定位的关系。我们纳入了53例患者(小脑18例,as裂/下丘脑20例,半球15例)。从石蜡包埋的肿瘤样本中进行研究,我们发现PA大多为二倍体,倍性模式不影响预后。 p53,p16,pRb,MMAC / PTEN1和VEGF的表达在不同部位之间无显着差异,不能预测预后。常见的拷贝数畸变(CNA)为:在1p36.33、2p11.2、9p11.2、9q12、16p11.2、19q13.12-q13.2,Xp22.2-p21.3,Xp11.3-中放大p11.22,Xq11.1-q12,Xq13.1,Xq21.1-q21.31,Xq22.3,Xq26.3和2p11.2、8p23.1、16p12.3中的纯合缺失。其中2p11.2 amp,9p11.2 amp和1p36.21 hom del与预后相关。此外,我们发现16p11.2 amp与肿瘤定位之间存在显着相关性。不同定位的PA具有不同的特性,使其具有不同的生物学攻击性。 PA展示了可通过高分辨率研究检测到的大量CNA。然而,肿瘤抑制基因p53,p16,pRb,MMAC / PTEN1和表达模式在PAs中不发挥重要作用。

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