Identification of potential clinical markers associated with prognosis of neuroblastoma

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. 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. 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. 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.

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Publication Details

Journal
Discover Oncology
Published
2026-02-24
DOI
https://doi.org/10.1007/s12672-026-04524-0
Primary Topic
Neuroblastoma Research and Treatments
Type
article
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article

Identification of potential clinical markers associated with prognosis of neuroblastoma

Chenghao Zhanghuang, Jianjun Zhu, Haoyu Tang, Fengming Ji et al.
Discover Oncology
Neuroblastoma Research and Treatments
article

Identification of potential clinical markers associated with prognosis of neuroblastoma

Chenghao Zhanghuang, Jianjun Zhu, Haoyu Tang, Fengming Ji, Hang Yu, Jinrong Li, Bing Yan, Zhen Yang
article en

Abstract

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. 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. 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. 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.

Discover Oncology
Kunming Medical University (CN), Kunming Children's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 50%
Neuroblastoma Research and Treatments
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