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鉴定与神经母细胞瘤自发回归相关的基因

Yunlong Zhang¹, Yifei Du¹, Min Wang¹

¹Department of Pediatric Surgical Oncology Children's Hospital of Chongqing Medical University National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders Chongqing Key Laboratory of Pediatrics Chongqing China.

Pediatric discovery..

|July 8, 2025

概括

研究人员确定了与神经母细胞瘤 (NB) 自发回归相关的关键基因. 像CNR1和GRIA2这样的基因与NB患者的良好预后有很强的关联,有助于临床预测.

科学领域:

在瘤学瘤学.
遗传学遗传学是一个
生物信息学是一种生物信息学.

背景情况:

神经母细胞瘤 (NB) 自发回归背后的分子机制仍然不太清楚.
识别与NB预后相关的基因对于改善患者的治疗结果至关重要.

研究的目的:

为了确定与神经母细胞瘤自发回归相关的目标基因.
在NB中确定差异表达基因 (DEGs) 的预后值.
开发一种用于预测NB预后的临床工具.

主要方法:

对公共NB数据集进行了差异基因表达分析 (第四阶段死亡与第四阶段S生存).
蛋白质与蛋白质相互作用 (PPI) 网络和中间中心性 (BC) 用于排名DEGs.
应用了单变,多因素和LASSO回归分析来确定预后基因.

主要成果:

确定了173个DEG (143个上调,30个下调).
七个基因 (GRIA2,NTRK1,SCN9A,SLC18A2,CNR1,PIK3R1,DGKB) 与良好的NB预后有关,其中CNR1显示出最强的联系.
开发了一种四基因风险评分公式和临床名谱.

结论:

CNR1和GRIA2是新发现的基因,与神经母细胞瘤的良好预后有关.
开发的风险评分和名图可以帮助NB患者的临床决策.

关键词:

拉索回归分析的回归分析不同表达的基因 (DEGs)神经母细胞瘤 (NB) 是一个自发回归自发回归自发回归

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