基于自噬相关基因的儿童神经母细胞瘤预后谱图的构建。

Evolutionary Bioinformatics Online Pub Date : 2022-08-26 eCollection Date: 2022-01-01 DOI:10.1177/11769343221120960
Guogang Ye, Yue Wang
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引用次数: 0

摘要

神经母细胞瘤(NB)是儿童最常见的实体恶性肿瘤。MYCN基因扩增是NB患者中最相关的基因改变,并与不良预后相关。自噬在NB的发生、发展和进展中起着特定的作用。在这里,我们旨在识别和评估自噬相关基因(ARGs)在NB和MYCN基因扩增患者中的预后影响。在伴有和未伴有MYCN基因扩增的NB患者中鉴定出差异表达的ARGs,并使用来自“治疗应用研究产生有效治疗”数据库的ARG表达模式和相关临床数据作为训练队列。最小绝对收缩和选择算子分析用于确定与无事件生存(EFS)相关的预后ARGs,并建立了预后风险评分模型。采用Kaplan-Meier法和受试者工作特征(ROC)曲线评估模型的性能。预后ARG模式1使用验证队列数据集GSE49710进行验证。最后,将基于arg的风险评分与临床病理因素相结合,构建nomogram。选择三个ARGs (GABARAPL1、NBR1和PINK1)建立预后风险评分模型。在训练组和验证组中,低危组的EFS均显著优于高危组。根据3年(AUC = 0.787)和5年(AUC = 0.787)的ROC曲线下面积,结合预后风险评分、年龄和国际神经母细胞瘤分期系统分期的nomogram显示了良好的EFS发生率预测能力。该图具有良好的判别性和定标性。我们的3种ARGs风险评分模型可作为NB和MYCN基因扩增患者的独立预后因素。该模型能准确预测3年和5年生存率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Construction of a Prognostic Nomogram Based on Autophagy-Related Genes for Children With Neuroblastoma.

Construction of a Prognostic Nomogram Based on Autophagy-Related Genes for Children With Neuroblastoma.

Construction of a Prognostic Nomogram Based on Autophagy-Related Genes for Children With Neuroblastoma.

Construction of a Prognostic Nomogram Based on Autophagy-Related Genes for Children With Neuroblastoma.

Neuroblastoma (NB) is the most common solid malignancy in children. MYCN gene amplification is the most relevant genetic alteration in patients with NB and is associated with poor prognosis. Autophagy plays specific roles in the occurrence, development, and progression of NB. Here, we aimed to identify and assess the prognostic effects of autophagy-related genes (ARGs) in patients with NB and MYCN gene amplification. Differentially expressed ARGs were identified in patients with NB with and without MYCN gene amplification, and the ARG expression patterns and related clinical data from the Therapeutically Applicable Research to Generate Effective Treatments database were used as the training cohort. Least absolute shrinkage and selection operator analyses were used to identify prognostic ARGs associated with event-free survival (EFS), and a prognostic risk score model was developed. Model performance was assessed using the Kaplan-Meier method and receiver operating characteristic (ROC) curves. The prognostic ARG mode l was verified using the validation cohort dataset, GSE49710. Finally, a nomogram was constructed by combining the ARGbased risk score with clinicopathological factors. Three ARGs (GABARAPL1, NBR1, and PINK1) were selected to build a prognostic risk score model. The EFS in the low-risk group was significantly better than that in the high-risk group in both the training and validation cohorts. A nomogram incorporating the prognostic risk score, age, and International Neuroblastoma Staging System stage showed a favorable predictive ability for EFS rates according to the area under the ROC curve at 3 years (AUC = 0.787) and 5 years (AUC = 0.787). The nomogram demonstrated good discrimination and calibration. Our risk score model for the 3 ARGs can be used as an independent prognostic factor in patients with NB and MYCN gene amplification. The model can accurately predict the 3- and 5-year survival rates.

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