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多形性胶质母细胞瘤:该基因的肿瘤拷贝数片段较少与较差的生存率相关。

Glioblastoma Multiforme: Fewer Tumor Copy Number Segments of the Gene Are Associated with Poorer Survival.

作者信息

Lehrer Steven, Rheinstein Peter H, Rosenzweig Kenneth E

机构信息

Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A.

出版信息

Cancer Genomics Proteomics. 2018 Jul-Aug;15(4):273-278. doi: 10.21873/cgp.20085.

Abstract

BACKGROUND/AIM: Glioblastoma multiforme (GBM) is the most common primary tumor of the central nervous system. The serum and glucocorticoid-regulated kinase SGK1 gene is required for the growth and survival of GBM stem-like cells under both normoxic and hypoxic conditions. It has been reported that oxygenation significantly affects cellular genetic expression; 30% of the genes required in hypoxia were not required under normoxic conditions. Therefore, we examined SGK1 expression to determine if it may be a novel potential drug target for GBM.

MATERIALS AND METHODS

We assessed the association between SGK1 and glioblastoma patient overall survival using the GBM cohort in TCGA (The Cancer Genome Atlas) database (TCGA-GBM). To access and analyze the data we used the UCSC Xena browser (https://xenabrowser.net). Survival data of the GBM subgroup were extracted for analysis and generation of Kaplan-Meier curves for overall survival. The best cut-off was identified by methods described in the R2 web-based application (http://r2.amc.nl).

RESULTS

We analyzed patient survival by tumor SGK1 copy number segments after removal of common germ-line copy-number variants (CNVs). Copy number segments (log2 tumor/normal) ≤0.009700 were associated with significantly poorer survival (p=0.016).

CONCLUSION

Increased median overall survival associated with increased SGK1 copy number segments may be a reflection of better tumor oxygenation. Therefore, besides being a drug target, SGK1 may also be a prognostic marker. Among molecular tumor markers, only the methylation status of the O-6-methylguanine-DNA methyltransferase (MGMT) gene has shown a significant association with survival in patients with GBM.

摘要

背景/目的:多形性胶质母细胞瘤(GBM)是中枢神经系统最常见的原发性肿瘤。血清和糖皮质激素调节激酶SGK1基因是GBM干细胞样细胞在常氧和低氧条件下生长和存活所必需的。据报道,氧合显著影响细胞基因表达;低氧条件下所需的基因中有30%在常氧条件下并非必需。因此,我们检测了SGK1的表达,以确定它是否可能是GBM的一个新的潜在药物靶点。

材料和方法

我们使用癌症基因组图谱(TCGA)数据库中的GBM队列(TCGA-GBM)评估了SGK1与胶质母细胞瘤患者总生存期之间的关联。为了访问和分析数据,我们使用了加州大学圣克鲁兹分校的Xena浏览器(https://xenabrowser.net)。提取GBM亚组的生存数据进行分析,并生成总生存期的Kaplan-Meier曲线。通过基于网络的R2应用程序(http://r2.amc.nl)中描述的方法确定最佳截断值。

结果

在去除常见的种系拷贝数变异(CNV)后,我们通过肿瘤SGK1拷贝数片段分析了患者的生存期。拷贝数片段(log2肿瘤/正常)≤0.009700与显著较差的生存期相关(p=0.016)。

结论

SGK1拷贝数片段增加与总生存期增加相关,这可能反映了更好的肿瘤氧合。因此,除了作为药物靶点外,SGK1也可能是一个预后标志物。在分子肿瘤标志物中,只有O-6-甲基鸟嘌呤-DNA甲基转移酶(MGMT)基因的甲基化状态与GBM患者的生存期显示出显著关联。

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本文引用的文献

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2
SGK1, the New Player in the Game of Resistance: Chemo-Radio Molecular Target and Strategy for Inhibition.
Cell Physiol Biochem. 2016;39(5):1863-1876. doi: 10.1159/000447885. Epub 2016 Oct 24.
5
Using the molecular classification of glioblastoma to inform personalized treatment.
J Pathol. 2014 Jan;232(2):165-77. doi: 10.1002/path.4282.
8
Transcript-specific expression profiles derived from sequence-based analysis of standard microarrays.
PLoS One. 2009;4(3):e4702. doi: 10.1371/journal.pone.0004702. Epub 2009 Mar 11.
10
Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma.
N Engl J Med. 2005 Mar 10;352(10):987-96. doi: 10.1056/NEJMoa043330.

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