A pseudogene-signature in glioma predicts survival.
A pseudogene-signature in glioma predicts survival.
复制标题
神经胶质瘤中的假基因特征可预测生存
DOI：
10.1186/s13046-015-0137-6
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发表时间：
2015-03-04
期刊：
影响因子：
--
通讯作者：
You YP
中科院分区：
文献类型：
--
作者：
Gao KM;Chen XC;Zhang JX;Wang Y;Yan W;You YP
假基因在多种疾病中被认为是一种潜在的肿瘤抑制基因或癌基因，但其在胶质瘤中的作用尚未被研究。我们的研究是为了确定预测胶质瘤存活率的假基因信号。采用伪基因挖掘方法，对中国人脑胶质瘤基因组图谱(CGGA)中的183个胶质瘤样本进行了伪基因表达谱分析，并将其作为训练集。我们通过生物信息学分析发现了与患者临床结果相关的6个假基因信号(P ≤ 0.01)，并在包含350例的分子脑肿瘤数据库(Rbra)中进行了验证。引入了基于6个伪基因特征的风险评分公式，并根据评分将CGGA组患者分为高危组和低危组，两组患者的生存期有显著差异(P <； ，0.001)。在伦勃朗集合中，签名的预后价值得到了证实。尽管这些假基因的功能尚不清楚，但对预后的假基因的鉴定表明了假基因在脑胶质瘤发病机制中的潜在作用，并可能对脑胶质瘤的治疗有临床意义。
Pseudogene was recognized as a potential tumor suppressor or oncogene in varies of diseases, however its roles in glioma have not been investigated. Our study was to identify the pseudogene-signature that predicted glioma survival. Using a pseudogene-mining approach, we performed pseudogene expression profiling in 183 glioma samples from the Chinese Glioma Genome Atlas (CGGA) and set it as the training set. We found a six-pseudogene signature correlated with patients’ clinical outcome via bioinformatics analyses (P ≤ 0.01), and validated it in the Repository of Molecular Brain Neoplasia Data (REMBRANDT) containing 350 cases. A formula calculating the risk score based on the six-pseudogene signature was introduced and the patients of CGGA set were classified into high-risk group and low-risk group with remarkably different survival (P < 0.001) based on their scores. The prognostic value of the signature was confirmed in the REMBRANDT set. Though the function of these pseudogenes is not clear, the identification of the prognostic pseudogenes indicated the potential roles of pseudogenes in glioma pathogenesis and they may have clinical implications in treating glioma.
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影响因子：
8
作者：
Walia, V.;Yu, Y.;Cao, D.;Sun, M.;McLean, J. R.;Hollier, B. G.;Cheng, J.;Mani, S. A.;Rao, K.;Premkumar, L.;Elble, R. C.
通讯作者：
Elble, R. C.
影响因子：
168.9
作者：
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通讯作者：
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影响因子：
20.3
作者：
Alizadeh, Ash A.;Gentles, Andrew J.;Levy, Ronald
通讯作者：
Levy, Ronald
影响因子：
158.5
作者：
Lossos, IS;Czerwinski, DK;Levy, R
通讯作者：
Levy, R
影响因子：
2.9
作者：
Edgar AJ
通讯作者：
Edgar AJ