Molecular subtyping of glioblastoma based on immune-related genes for prognosis.
Molecular subtyping of glioblastoma based on immune-related genes for prognosis.
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基于免疫相关基因的胶质母细胞瘤分子分型对预后的影响
DOI：
10.1038/s41598-020-72488-4
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发表时间：
2020-09-23
影响因子：
4.6
通讯作者：
Fang Z
中科院分区：
文献类型：
--
作者：
Chen X;Fan X;Zhao C;Zhao Z;Hu L;Wang D;Wang R;Fang Z
胶质母细胞瘤（GBM）与增加的死亡率和发病率相关，并且被认为是侵袭性脑肿瘤。最近，人们对GBM的分子生物学进行了广泛的研究，各种研究表明GBM的进展与肿瘤免疫表型相关。本研究中的样本从ImmPort和TCGA数据库中提取，以鉴定影响GBM预后的免疫相关基因。共挖掘出92个与预后显著相关的免疫相关基因，并对它们进行收缩估计。其中，14个最具代表性的基因与患者预后显著相关，并进行LASSO和逐步回归分析，以进一步确定用于构建预测GBM预后模型的基因。然后，将训练和测试队列中的样本并入模型中并进行划分，以评估模型预测和分类患者预后的效率、稳定性和准确性，并根据RiskScore的中位数（即Risk-H和Risk-L）识别相关免疫特征。此外，所构建的模型能够指导临床医生对各种免疫表型进行诊断和预后预测。
Glioblastoma (GBM) is associated with an increasing mortality and morbidity and is considered as an aggressive brain tumor. Recently, extensive studies have been carried out to examine the molecular biology of GBM, and the progression of GBM has been suggested to be correlated with the tumor immunophenotype in a variety of studies. Samples in the current study were extracted from the ImmPort and TCGA databases to identify immune-related genes affecting GBM prognosis. A total of 92 immune-related genes displaying a significant correlation with prognosis were mined, and a shrinkage estimate was conducted on them. Among them, the 14 most representative genes showed a marked correlation with patient prognosis, and LASSO and stepwise regression analysis was carried out to further identify the genes for the construction of a predictive GBM prognosis model. Then, samples in training and test cohorts were incorporated into the model and divided to evaluate the efficiency, stability, and accuracy of the model to predict and classify the prognosis of patients and to identify the relevant immune features according to the median value of RiskScore (namely, Risk-H and Risk-L). In addition, the constructed model was able to instruct clinicians in diagnosis and prognosis prediction for various immunophenotypes.
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影响因子：
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作者：
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