Gao Bing, Yan Shaochun, Xie Wei, Shao Guo
Department of Public Health, International College, Krirk University, Bangkok, Thailand.
Center for Translational Medicine and Department of Laboratory Medicine, The Third People's Hospital of Longgang District, Shenzhen, China.
Transl Cancer Res. 2024 Jul 31;13(7):3599-3619. doi: 10.21037/tcr-24-14. Epub 2024 Jul 22.
Neuroblastoma (NB) is a malignant tumor primarily found in children, presenting significant challenges in its development and prognosis. The role of necroptosis in the pathogenesis of NB has been acknowledged as crucial for treatment. This study aimed to investigate the key genes and functional pathways associated with necroptosis, as well as immune infiltration analysis, in NB. Furthermore, we aimed to evaluate the diagnostic significance of these genes for prognostic assessment and explore their potential immunological characteristics.
The NB dataset (GSE19274, GSE73517, and GSE85047) was obtained from the Gene Expression Omnibus (GEO) database, and genes associated with necroptosis were collected from GeneCards and previous literature. First, we conducted differential expression analysis and performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We employed gene set enrichment analysis (GSEA) to identify overlapping enriched functional pathways from the NB dataset. In addition, we constructed a protein-protein interaction (PPI) network, predicting relevant microRNAs (miRNAs) and transcription factors (TFs), as well as their corresponding drug predictions. Furthermore, the diagnostic value was assessed using receiver operating characteristic (ROC) curves. Finally, an immune infiltration analysis was performed.
We identified six necroptosis-related differentially expressed genes (NRDEGs) closely associated with necroptosis in NB. They were enriched in Tuberculosis, Apoptosis-multiple species, Salmonella infection, legionellosis, and platinum drug resistance. GSEA and PPI network analyses, along with mRNA-drug interaction network, revealed 38 potential drugs corresponding to , , , and . ROC curve analysis showed that in GSE19274, with area under the ROC curve (AUC) of 0.850 and with AUC of 0.789.
Our study elucidates the key genes and functional pathways associated with necroptosis in NB, offering valuable insights to enhance our comprehension of the pathogenesis of NB, and improve prognosis assessment.
神经母细胞瘤(NB)是一种主要发生于儿童的恶性肿瘤,其发展和预后面临重大挑战。坏死性凋亡在NB发病机制中的作用已被认为对治疗至关重要。本研究旨在调查与NB中坏死性凋亡相关的关键基因和功能通路,以及免疫浸润分析。此外,我们旨在评估这些基因对预后评估的诊断意义,并探索其潜在的免疫特征。
从基因表达综合数据库(GEO)中获取NB数据集(GSE19274、GSE73517和GSE85047),并从GeneCards和先前的文献中收集与坏死性凋亡相关的基因。首先,我们进行了差异表达分析,并进行了基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析。我们采用基因集富集分析(GSEA)从NB数据集中识别重叠的富集功能通路。此外,我们构建了蛋白质-蛋白质相互作用(PPI)网络,预测相关的微小RNA(miRNA)和转录因子(TF),以及它们相应的药物预测。此外,使用受试者工作特征(ROC)曲线评估诊断价值。最后,进行了免疫浸润分析。
我们在NB中鉴定出六个与坏死性凋亡密切相关的坏死性凋亡相关差异表达基因(NRDEG)。它们富集于结核病、多种物种的凋亡、沙门氏菌感染、军团病和铂类药物耐药性。GSEA和PPI网络分析以及mRNA-药物相互作用网络揭示了与、、和相对应的38种潜在药物。ROC曲线分析表明,在GSE19274中,的ROC曲线下面积(AUC)为0.850,的AUC为0.789。
我们的研究阐明了与NB中坏死性凋亡相关的关键基因和功能通路,为增强我们对NB发病机制的理解和改善预后评估提供了有价值的见解。