Calcium-Related Gene Signatures May Predict Prognosis and Level of Immunosuppression in Gliomas.
Calcium-Related Gene Signatures May Predict Prognosis and Level of Immunosuppression in Gliomas.
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钙相关基因特征可以预测胶质瘤的预后和免疫抑制水平
DOI：
10.3389/fonc.2022.708272
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发表时间：
2022
影响因子：
4.7
通讯作者：
中科院分区：
文献类型：
--
作者：
胶质瘤是最常见的原发脑癌。虽然已知钙相关基因与胶质瘤的发生相关，但钙相关基因与胶质瘤预后的关系尚不清楚。我们用差异表达基因(DEG)和浓缩分析评估了TCGA的mRNA表达数据集，以专门筛选调节或受钙水平影响的基因。然后，我们将识别的钙相关基因与非监督/监督学习相关联，将胶质瘤患者分为两个风险组。我们还将我们识别的基因与免疫信号相关联。结果，我们发现了与OS相关的460个钙基因和35个钙关键基因。在具有不同操作系统的群集1和群集2之间有13个DEG。同时，利用监督学习方法构建了10个钙中心基因(CHGs)信号模型，并计算了3组样本的预后风险分数。风险评分被确认为预后的独立预测因子。免疫浓缩分析显示，高危人群中存在免疫抑制的肿瘤微环境，检查点标志物上调。最后，生成包含风险评分和其他临床预后独立指标的诺模图，以量化预后。我们的研究结果表明，钙相关基因表达模式可用于预测预后和预测免疫抑制程度。
Gliomas are the most common primary brain cancer. While it has been known that calcium-related genes correlate with gliomagenesis, the relationship between calcium-related genes and glioma prognosis remains unclear. We assessed TCGA datasets of mRNA expressions with differentially expressed genes (DEGs) and enrichment analysis to specifically screen for genes that regulate or are affected by calcium levels. We then correlated the identified calcium-related genes with unsupervised/supervised learning to classify glioma patients into 2 risk groups. We also correlated our identified genes with immune signatures. As a result, we discovered 460 calcium genes and 35 calcium key genes that were associated with OS. There were 13 DEGs between Clusters 1 and 2 with different OS. At the same time, 10 calcium hub genes (CHGs) signature model were constructed using supervised learning, and the prognostic risk scores of the 3 cohorts of samples were calculated. The risk score was confirmed as an independent predictor of prognosis. Immune enrichment analysis revealed an immunosuppressive tumor microenvironment with upregulation of checkpoint markers in the high-risk group. Finally, a nomogram was generated with risk scores and other clinical prognostic independent indicators to quantify prognosis. Our findings suggest that calcium-related gene expression patterns could be applicable to predict prognosis and predict levels of immunosuppression.
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影响因子：
64.5
作者：
Antal CE;Hudson AM;Kang E;Zanca C;Wirth C;Stephenson NL;Trotter EW;Gallegos LL;Miller CJ;Furnari FB;Hunter T;Brognard J;Newton AC
通讯作者：
Newton AC
DOI：
10.1056/nejmoa1407279
发表时间：
2015-06-25
期刊：
The New England journal of medicine
影响因子：
--
作者：
Eckel-Passow JE;Lachance DH;Molinaro AM;Walsh KM;Decker PA;Sicotte H;Pekmezci M;Rice T;Kosel ML;Smirnov IV;Sarkar G;Caron AA;Kollmeyer TM;Praska CE;Chada AR;Halder C;Hansen HM;McCoy LS;Bracci PM;Marshall R;Zheng S;Reis GF;Pico AR;O'Neill BP;Buckner JC;Giannini C;Huse JT;Perry A;Tihan T;Berger MS;Chang SM;Prados MD;Wiemels J;Wiencke JK;Wrensch MR;Jenkins RB
通讯作者：
Jenkins RB
影响因子：
4.8
作者：
Guo C;Pirozzi CJ;Lopez GY;Yan H
通讯作者：
Yan H
septin 7 的过度表达抑制神经胶质瘤细胞生长
影响因子：
3.9
作者：
Jia, Zhi-fan;Huang, Qiang;Pu, Pei-yu
通讯作者：
Pu, Pei-yu
CGCG 成人弥漫性胶质瘤治疗临床实践指南。
影响因子：
9.7
作者：
Jiang, Tao;Mao, Ying;Wang, Qixue
通讯作者：
Wang, Qixue