Frequency and Clinical Significance of Clonal and Subclonal Driver Mutations in High-Risk Neuroblastoma at Diagnosis: A Children's Oncology Group Study
Bibliographic record
Abstract
PURPOSE Relapsed high-risk neuroblastomas (NBLs) are enriched for targetable mutations in ALK and RAS-MAPK pathways, yet the prognostic effect of these aberrations and relevance of subclonal mutations at diagnosis remain undefined. We describe the spectrum and clinical significance of clonal and subclonal pathogenic alterations in high-risk NBL. METHODS We developed a focused high-risk NBL sequencing panel including ALK , NRAS , KRAS , HRAS , BRAF , PTPN11 , TP53 , and ATRX genes for ultra-deep sequencing and applied this assay to 242 pretherapy tumors from patients enrolled on the phase III trial Children's Oncology Group ANBL0532. We assessed the effect of clonal and subclonal mutations on event-free survival (EFS) and overall survival (OS). RESULTS ALK -activating mutations occurred in 21.5% of tumors (n = 52, 30 clonal, 22 subclonal), and 3.3% (n = 8) showed ALK amplification. EFS and OS for patients with any ALK -aberrant tumor were inferior to patients with wild-type (WT) ALK tumors (5-year OS 37.7% v 66.3%; hazard ratio [HR], 1.992; P = .0007). EFS and OS for patients with tumors harboring activating ALK mutations ≥5% variant allele frequency (VAF) were inferior to ALK WT (5-year OS 37.7% v 66.3%; HR, 1.966; P = .0041). The 5-year EFS and OS for patients with ALK -amplified tumors were 25.0%. RAS pathway mutations occurred in 7.9% of tumors (n = 19; four clonal, 15 subclonal), with EFS and OS for those with VAF ≥5% inferior to RAS-WT patients (5-year OS 19.1% v 60.0%; HR, 3.021; P = .0168). CONCLUSION Ultra-deep sequencing of high-risk NBLs demonstrates that oncogenic aberrations are more prevalent at diagnosis than previously recognized. ALK and RAS pathway aberrations confer inferior outcomes in patients treated with contemporary therapy, emphasizing the need for novel therapeutic approaches.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".