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Identification of MYCN-Related Gene as a Potential Biomarker for Neuroblastoma Prognostic Model by Integrated Analysis and Quantitative Real-Time PCR
DNA and Cell Biology ( IF 2.6 ) Pub Date : 2021-02-11 , DOI: 10.1089/dna.2020.6193
FengLing Shao 1 , Zhenni Wang 1 , Shan Wang 1
Affiliation  

Neuroblastoma (NB) has the highest incidence of all extracranial solid tumors in children and is highly lethal. This study aims to establish a prognostic model of NB with MYCN-related genes. We determined the gene expression profiles of 900 NB samples from the UCSC database and four Gene Expression Omnibus (GEO) data sets, and performed a comprehensive bioinformatics analysis and clinical sample verification. After univariate Cox regression, least absolute shrinkage and selection operator (Lasso), and multivariate Cox regression analyses, four (AKR1C1, CHD5, PDE4DIP, and PRKACB) genes were finally selected and used to construct a risk score prognostic model. In the UCSC data set, the high-risk group exhibited a significantly worse prognosis than the low-risk group. In addition, the nomogram, which includes prognostic markers and clinical factors, demonstrates high prognostic value. Finally, the differential expression of the four genes in the model was verified by quantitative real-time PCR in clinical tissues. These findings of MYCN-related genes provide a new and reliable prognostic model for NB related to MYCN.

中文翻译:

通过整合分析和定量实时PCR鉴定MYCN相关基因作为神经母细胞瘤预后模型的潜在生物标记

儿童神经母细胞瘤(NB)在所有颅外实体瘤中发生率最高,并且具有很高的致死性。这项研究旨在建立具有MYCN相关基因的NB预后模型。我们从UCSC数据库和四个Gene Expression Omnibus(GEO)数据集中确定了900个NB样品的基因表达谱,并进行了全面的生物信息学分析和临床样品验证。在单变量Cox回归,最小绝对收缩和选择算子(Lasso)和多元Cox回归分析之后,有四个(AKR1C1CHD5PDE4DIPPRKACB最后选择基因,并将其用于构建风险评分预后模型。在UCSC数据集中,高风险组的预后明显低于低风险组。另外,包括预后标志物和临床因素的列线图显示出高预后价值。最后,通过定量实时PCR在临床组织中验证了模型中四个基因的差异表达。这些研究结果MYCN -相关基因提供了有关为NB新的和可靠的预测模型MYCN
更新日期:2021-02-19
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