Evidence map›Paper›PMID 40600620›Full record

ArticleCancer medicine2025

Identification of Crucial Genes Associated With MYCN-Driven Neuroblastoma Based on Single-Cell Analysis and Machine Learning.

Jiasi Zhang, Yichen Lei, Yaqin Wang, Wen Yu, Xiaoyan Zhao, Yongbing Zhu, Dedong Zhang, Siying Liu, Aiguo Liu

Abstract read
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jiasi ZhangDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0001-9442-2009
Yichen LeiDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yaqin WangDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wen YuDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaoyan ZhaoDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yongbing ZhuDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Dedong ZhangDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Siying LiuDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Aiguo LiuDepartment of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

China Postdoctoral Science Foundation 2024M761029Key Laboratory of Molecular Biological Targeted Therapies of the Ministry of Education 2024SWBS008National Natural Science Foundation of China 81874187
6 · The paper itself

Abstract

backgroundNeuroblastoma (NB) with MYCN amplification is strongly correlated with high-risk stratification and poor prognosis. However, the underlying mechanisms remain incompletely understood. Elucidating these pathways is critical for advancing personalized treatments for MYCN-driven NB.

methodsWe performed single-cell transcriptomic analysis comparing NB samples with and without MYCN. Key genes were then identified using machine learning based random survival forest (RSF) and nomogram analyses. The influence of key genes on immune infiltration and molecular mechanisms driving NB progression were further investigated. Finally, we visualized the expression levels and global function of these genes in single-cell datasets and validated their expression in patient samples through RT-qPCR.

resultsSingle-cell transcriptome analysis of GSE218450 identified marker genes specific to NB cells. RSF and nomogram analyses revealed that overexpression of CKB, PCSK1N, OTUB1, and VGF is associated with poor prognosis, whereas upregulation of NTRK3 indicates a favorable prognosis. These genes are significantly associated with immune cell infiltration and play an important role in modulating the immune microenvironment. Pathway analysis further showed that these genes influence critical signaling pathways, including the Wnt pathway, and interact with tumor-related genes. Additionally, we confirmed that CKB and PCSK1N are positively correlated with MYCN in NB cell lines and are significantly overexpressed in MYCN-amplified NB patients.

conclusionsOur results provide molecular insights into the transcriptional changes associated with MYCN amplification in NB. In particular, the identification of CKB and PCSK1N suggests their potential role in driving tumor progression, making them promising targets for novel treatments in MYCN-driven NB.

Indexed as

Biomarkers, TumorMachine LearningNeuroblastomaN-Myc Proto-Oncogene ProteinGene AmplificationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisSingle-Cell AnalysisTranscriptomeTumor MicroenvironmentBiomarkers, TumorMYCN protein, humanN-Myc Proto-Oncogene ProteinMYCN amplificationneuroblastomanomogram modelrandom survival forestssingle‐cell transcriptome

Identifiers

PMID40600620
PMCPMC12216506

What Socratic holds

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