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Aim <p>This study retrospectively analyzed the data of patients with neuroblastoma (NB) to explore the risk factors and independent risk factors affecting the prognosis of patients.</p> Method <p>A retrospective analysis was conducted on the data of patients with NB diagnosed and treated at Children’s Hospital of Kunming Medical University from January 2014 to December 2024. Kaplan–Meier (KM) survival analysis and the Cox Proportional Hazards Model were used to ascertain the risk factors and to identify independent risk factors associated with overall survival (OS) and disease-free survival (DFS), respectively.</p> Result <p>A total of 231 patients were retrospectively analyzed. The results of Cox Proportional Hazards Model showed that age, tumor volume of onset (TVO), LNF (lactate dehydrogenase-neuron specific enolase-ferritin), metastasis site, DNA ploidy, and recurrence were independent risk factors affecting the OS. TVO, lactate dehydrogenase (LDH), neuron specific enolase (NSE), ferritin, LNF, image-defined risk factors (IDRFs), metastasis site, and DNA ploidy were independent risk factors affecting the DFS of patients.</p> Conclusion <p>Reliable biomarkers are crucial for effective patient stratification and personalized treatment strategies for NB. Early identification of high-risk patients and the initiation of aggressive treatment can help improve OS and DFS in patients.</p>

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Identification of potential clinical markers associated with prognosis of neuroblastoma

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月24日

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  • Fengming Ji,
  • Jianjun Zhu,
  • Haoyu Tang,
  • Chenghao Zhanghuang,
  • JinRong Li,
  • Yu Hang,
  • Bing Yan,
  • Zhen Yang

摘要

Aim

This study retrospectively analyzed the data of patients with neuroblastoma (NB) to explore the risk factors and independent risk factors affecting the prognosis of patients.

Method

A retrospective analysis was conducted on the data of patients with NB diagnosed and treated at Children’s Hospital of Kunming Medical University from January 2014 to December 2024. Kaplan–Meier (KM) survival analysis and the Cox Proportional Hazards Model were used to ascertain the risk factors and to identify independent risk factors associated with overall survival (OS) and disease-free survival (DFS), respectively.

Result

A total of 231 patients were retrospectively analyzed. The results of Cox Proportional Hazards Model showed that age, tumor volume of onset (TVO), LNF (lactate dehydrogenase-neuron specific enolase-ferritin), metastasis site, DNA ploidy, and recurrence were independent risk factors affecting the OS. TVO, lactate dehydrogenase (LDH), neuron specific enolase (NSE), ferritin, LNF, image-defined risk factors (IDRFs), metastasis site, and DNA ploidy were independent risk factors affecting the DFS of patients.

Conclusion

Reliable biomarkers are crucial for effective patient stratification and personalized treatment strategies for NB. Early identification of high-risk patients and the initiation of aggressive treatment can help improve OS and DFS in patients.