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Updated: Jan 29, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
Molecular Features Associated with a High-Risk Clinical Course in Neuroblastomas Initially Diagnosed as Non-High-Risk
Rixt S Bruinsma1, Wendy W J de Leng2, Marta F Fiocco1,3,4
1Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands.
Segmental chromosomal aberrations (SCAs) and 1p deletion identify neuroblastoma patients with a high-risk clinical course. These molecular markers, along with ALT activation and specific gene amplifications, predict poor outcomes in non-high-risk neuroblastoma.
Area of Science:
- Pediatric Oncology
- Cancer Genomics
- Molecular Pathology
Background:
- Some neuroblastoma patients initially classified as non-high-risk exhibit aggressive disease and poor survival.
- Identifying molecular drivers is crucial for understanding this discrepancy.
Purpose of the Study:
- To identify molecular aberrations at diagnosis that predict a high-risk clinical course in non-high-risk neuroblastoma patients.
- To investigate the role of segmental chromosomal aberrations (SCAs) and telomere maintenance mechanisms (TMMs).
Main Methods:
- Analysis of SCAs, gene amplifications, mutations, and TMMs in 89 non-high-risk neuroblastoma patients diagnosed between 2014-2021.
- Utilized single-nucleotide polymorphism array, next-generation sequencing, and FISH, WGS, RNA sequencing.
- Multiple imputation was used for SCA counts.
Main Results:
- An SCA profile (≥1 SCA) was significantly more frequent in patients with a high-risk course (76% vs 15%, p=0.004).
- 1p deletion (p=0.034), gains of 1q, 2p, 17q, deletions of 4p, 11q, and higher SCA counts were associated with high-risk outcomes.
- Alternative lengthening of telomeres (ALT) was activated in 57% of high-risk patients, and MDM2/CDK4 amplification was observed in two cases.
Conclusions:
- SCA profile and 1p deletion are significant predictors of a high-risk clinical course in neuroblastoma.
- ALT activation, MDM2/CDK4 co-amplification, and specific SCAs warrant further investigation as potential biomarkers for risk stratification.
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