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Background <p>Neuroblastoma (NB), the most common extracranial solid tumor of childhood, originates from developing sympathetic nervous system. While cuproptosis has emerged as a critical regulator in oncobiology, its mechanistic involvement in NB remains poorly characterized.</p> Methods <p>RNA-seq data of NB patients was analyzed using limma and ClusterProfiler. CRlncRNAs were identified through Pearson correlation between lncRNAs and CRGs, with co-expression networks visualized via ggalluvial. Prognostic signature was constructed through Lasso-penetrated Cox regression and validated via EFS analysis, C-index, and ROC curves. Somatic mutations and TMB were profiled using maftools. Immune infiltration landscapes were deciphered by CIBERSORT, while single-cell analysis integrated AddModuleScore, AUCell, and inferCNV to map CNV-driven transcriptional heterogeneity. Functional validation via siRNA knockdown confirmed the oncogenic role of CRGs.</p> Results <p>The risk model: Risk Score = (-1.637×DIRC3-AS1) + (0.6758×FOXN3-AS1) + (0.3032×LINC00682) + (-0.6812×RASSF8-AS1) was constructed. Stratification by median risk score revealed significantly prolonged EFS and OS. No significant TMB difference was observed between subgroups. scRNA-seq analysis highlighted malignant cell dominance with marked CNVs in high-risk patients. Functional validation confirmed CRlncRNAs’ roles in modulating proliferation and migration.</p> Conclusion <p>Our findings establish a novel prognostic framework for NB that enhances risk stratification accuracy and provides actionable biomarkers to guide precision clinical management.</p>

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Integrated bulk and single-cell RNA sequencing reveals a cuproptosis-related LncRNA prognostic signature in neuroblastoma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月1日

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  • Ke Chen,
  • Jing Wang,
  • Shimin Yang,
  • Jun Xiao,
  • Luyao Wu,
  • Zejian Li,
  • Xiang Zhao,
  • Xuyong Chen,
  • Honglin Li,
  • Jiexiong Feng,
  • Xinyao Meng

摘要

Background

Neuroblastoma (NB), the most common extracranial solid tumor of childhood, originates from developing sympathetic nervous system. While cuproptosis has emerged as a critical regulator in oncobiology, its mechanistic involvement in NB remains poorly characterized.

Methods

RNA-seq data of NB patients was analyzed using limma and ClusterProfiler. CRlncRNAs were identified through Pearson correlation between lncRNAs and CRGs, with co-expression networks visualized via ggalluvial. Prognostic signature was constructed through Lasso-penetrated Cox regression and validated via EFS analysis, C-index, and ROC curves. Somatic mutations and TMB were profiled using maftools. Immune infiltration landscapes were deciphered by CIBERSORT, while single-cell analysis integrated AddModuleScore, AUCell, and inferCNV to map CNV-driven transcriptional heterogeneity. Functional validation via siRNA knockdown confirmed the oncogenic role of CRGs.

Results

The risk model: Risk Score = (-1.637×DIRC3-AS1) + (0.6758×FOXN3-AS1) + (0.3032×LINC00682) + (-0.6812×RASSF8-AS1) was constructed. Stratification by median risk score revealed significantly prolonged EFS and OS. No significant TMB difference was observed between subgroups. scRNA-seq analysis highlighted malignant cell dominance with marked CNVs in high-risk patients. Functional validation confirmed CRlncRNAs’ roles in modulating proliferation and migration.

Conclusion

Our findings establish a novel prognostic framework for NB that enhances risk stratification accuracy and provides actionable biomarkers to guide precision clinical management.