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Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis

机译:基于亚细胞蛋白质组学和生物信息学分析的胶质母细胞瘤中与替莫唑胺抗性相关的关键候选蛋白质和途径的鉴定

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摘要

TMZ resistance remains one of the main reasons why treatment of glioblastoma (GBM) fails. In order to investigate the underlying proteins and pathways associated with TMZ resistance, we conducted a cytoplasmic proteome research of U87 cells treated with TMZ for 1 week, followed by differentially expressed proteins (DEPs) screening, KEGG pathway analysis, protein–protein interaction (PPI) network construction, and validation of key candidate proteins in TCGA dataset. A total of 161 DEPs including 65 upregulated proteins and 96 downregulated proteins were identified. Upregulated DEPs were mainly related to regulation in actin cytoskeleton, focal adhesion, and phagosome and PI3K-AKT signaling pathways which were consistent with our previous studies. Further, the most significant module consisted of 28 downregulated proteins that were filtered from the PPI network, and 9 proteins (DHX9, HNRNPR, RPL3, HNRNPA3, SF1, DDX5, EIF5B, BTF3, and RPL8) among them were identified as the key candidate proteins, which were significantly associated with prognosis of GBM patients and mainly involved in ribosome and spliceosome pathway. Taking the above into consideration, we firstly identified candidate proteins and pathways associated with TMZ resistance in GBM using proteomics and bioinformatic analysis, and these proteins could be potential biomarkers for prevention or prediction of TMZ resistance in the future.
机译:TMZ耐药性仍然是胶质母细胞瘤(GBM)治疗失败的主要原因之一。为了研究与TMZ耐药相关的潜在蛋白质和途径,我们对用TMZ处理1周的U87细胞进行了细胞质蛋白质组研究,然后进行差异表达蛋白质(DEP)筛选,KEGG途径分析,蛋白质-蛋白质相互作用(PPI) )网络建设,以及TCGA数据集中关键候选蛋白的验证。共鉴定出161种DEP,包括65种上调的蛋白和96种下调的蛋白。上调的DEPs主要与肌动蛋白细胞骨架,粘着斑,吞噬体和PI3K-AKT信号通路的调节有关,这与我们以前的研究一致。此外,最重要的模块由从PPI网络中滤除的28种下调蛋白组成,其中9种蛋白(DHX9,HNRNPR,RPL3,HNRNPA3,SF1,DDX5,EIF5B,BTF3和RPL8)被确定为关键候选蛋白蛋白,与GBM患者的预后显着相关,主要涉及核糖体和剪接体途径。考虑到上述因素,我们首先使用蛋白质组学和生物信息学分析在GBM中鉴定了与TMZ耐药相关的候选蛋白和途径,这些蛋白可能是将来预防或预测TMZ耐药的潜在生物标记。

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