Construction of a ferroptosis-based prediction model for the prognosis of MYCN-amplified neuroblastoma and screening and verification of target sites.

IF 2.7 3区 生物学
Linjun Tan, Guoqian He, Chengqi Shen, Sijia He, Yan Chen, Xia Guo
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引用次数: 0

Abstract

Background: Neuroblastoma (NB) is a prevalent extracranial solid tumor in pediatric patients. Of these, the MYCN-amplified type has a poor treatment response and prognosis. To enhance therapeutic efficacy and prognostic outcomes, numerous research teams have undertaken extensive investigations through various pathways and directions. Among these, ferroptosis has recently emerged as a significant area of research focus.Ferroptosis, a type of iron-dependent cell death, is primarily caused by lipid peroxides. This study intends to develop a prognosis model based on MYCN-amplified NB and ferroptosis-related genes (FGs).

Methods: Data for this study were sourced from the TARGET and FerrDb databases. Lasso regression algorithms and univariate COX analysis were leveraged to determine feature genes; multivariate COX analysis was employed to develop a prediction model and risk scores; and receiver operating characteristic (ROC) curves and Kaplan-Meier analysis were utilized to assess the predictive ability of the model. Furthermore, discrepancies in immune cell infiltration (ICI) between the high-risk (HR) and low-risk (LR) populations were assessed via CIBERSORT analysis. Finally, experiments were conducted on MYCN-amplified and MYCN non-amplified cells so as to validate the differential expression of the gene.

Results: A prediction model was constructed and risk scores were calculated based on 4 genes (LIFR, TP53, NRAS, and OSBPL9). The HR group, which was stratified by the median score, had a lower overall survival rate than the LR group.The differences in expression of each gene between MYCN-amplified and MYCN non-amplified cells were further confirmed through cell experiments and qPCR.

Conclusion: The prediction model in this study can be employed to forecast the prognosis of MYCN-amplified NB. These genes may represent promising new ferroptosis-related intervention targets (FITs) in treating MYCN-amplified NB, with the potential to improve patient outcomes.

基于凋亡的mycn扩增神经母细胞瘤预后预测模型构建及靶点筛选验证
背景:神经母细胞瘤(Neuroblastoma, NB)是儿科患者常见的颅内外实体瘤。其中,mycn扩增型的治疗反应和预后较差。为了提高治疗效果和预后结果,许多研究团队从不同的途径和方向进行了广泛的研究。其中,铁下垂近年来已成为一个重要的研究重点领域。铁下垂是一种铁依赖性细胞死亡,主要由脂质过氧化物引起。本研究拟建立一种基于mycn扩增的NB和嗜铁相关基因(FGs)的预后模型。方法:本研究的数据来源于TARGET和FerrDb数据库。利用Lasso回归算法和单变量COX分析确定特征基因;采用多变量COX分析建立预测模型和风险评分;采用受试者工作特征(ROC)曲线和Kaplan-Meier分析评价模型的预测能力。此外,通过CIBERSORT分析评估高危人群(HR)和低危人群(LR)之间免疫细胞浸润(ICI)的差异。最后,在MYCN扩增细胞和MYCN未扩增细胞上进行实验,验证该基因的差异表达。结果:基于4个基因(LIFR、TP53、NRAS、OSBPL9)构建预测模型并计算风险评分。HR组以中位评分分层,其总生存率低于LR组。通过细胞实验和qPCR进一步证实MYCN扩增细胞和未扩增细胞中各基因的表达差异。结论:本研究建立的预测模型可用于预测mycn扩增NB的预后。这些基因可能是治疗mycn扩增NB的有希望的新铁凋亡相关干预靶点(FITs),具有改善患者预后的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Hereditas
Hereditas Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍: For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.
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