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脑脊液蛋白质组学分析:寻找脑肿瘤标志物。

Proteomic analysis of cerebrospinal fluid: toward the identification of biomarkers for gliomas.

机构信息

Department of Neurosurgery, Huashan Hospital, Fudan University, 12 Wurumuqi Road Middle, Shanghai, 200040, China.

出版信息

Neurosurg Rev. 2014 Jul;37(3):367-80; discussion 380. doi: 10.1007/s10143-014-0539-5. Epub 2014 May 1.

Abstract

Gliomas are the most common primary brain tumors in adults and, despite advances in the understandings of glioma pathogenesis in the genetic era, they are still ineradicable, justifying the need to develop more reliable diagnostic and prognostic biomarkers for this malignancy. Because changes in cerebrospinal fluid (CSF) are suggested to be capable of sensitively reflecting pathological processes, e.g., neoplastic conditions, in the central nervous system, CSF has been deemed a valuable source for potential biomarkers screening in this era of proteomics. This systematic review focused on the proteomic analysis of glioma CSF that has been published to date and identified a total of 19 differentially expressed proteins. Further functional and protein-protein interaction assessments were performed by using Protein Analysis Through Evolutionary Relationships (PANTHER) website and Ingenuity Pathway Analysis (IPA) software, which revealed several important protein networks (e.g., IL-6/STAT-3) and four novel focus proteins (IL-6, galanin (GAL), HSPA5, and WNT4) that might be involved in glioma pathogenesis. The concentrations of these focus proteins were subsequently determined by enzyme-linked immunosorbent assay (ELISA) in an independent set of CSF and tumor cyst fluid (CF) samples. Specifically, glioblastoma (GBM) CF had significantly lower GAL, HSPA5, and WNT4 levels than CSF from different grades of glioma. In contrast, IL-6 level was significantly higher in GBM CF when compared with CSF and, among different CSF groups, was highest in GBM CSF. Therefore, these candidate protein biomarkers, identified from both the literatures and in silico analysis, may have potentials in clinical diagnosis, prognosis evaluation, treatment response monitoring, and novel therapeutic targets identification for patients with glioma.

摘要

神经胶质瘤是成人中最常见的原发性脑肿瘤,尽管在遗传时代对神经胶质瘤发病机制的认识有所提高,但它们仍然无法根除,这证明有必要为这种恶性肿瘤开发更可靠的诊断和预后生物标志物。由于脑脊液 (CSF) 的变化被认为能够敏感地反映中枢神经系统的病理过程,例如肿瘤状况,因此 CSF 被认为是在蛋白质组学时代筛选潜在生物标志物的有价值来源。本系统评价侧重于迄今为止发表的神经胶质瘤 CSF 的蛋白质组学分析,共鉴定出 19 种差异表达蛋白。进一步使用蛋白质分析通过进化关系 (PANTHER) 网站和 IPA 软件进行功能和蛋白质-蛋白质相互作用评估,揭示了几个重要的蛋白质网络(例如,IL-6/STAT-3)和四个新的焦点蛋白(IL-6、甘丙肽 (GAL)、HSPA5 和 WNT4)可能参与神经胶质瘤的发病机制。随后通过酶联免疫吸附测定 (ELISA) 在独立的 CSF 和肿瘤囊液 (CF) 样本中测定这些焦点蛋白的浓度。具体来说,与不同级别神经胶质瘤的 CSF 相比,胶质母细胞瘤 (GBM) CF 中的 GAL、HSPA5 和 WNT4 水平明显较低。相比之下,与 CSF 相比,GBM CF 中的 IL-6 水平明显更高,而在不同 CSF 组中,GBM CF 中的 IL-6 水平最高。因此,这些从文献和计算机分析中鉴定出的候选蛋白质生物标志物可能具有用于临床诊断、预后评估、治疗反应监测和神经胶质瘤患者新的治疗靶点鉴定的潜力。

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