Segmental chromosome aberrations and clinical response impact outcome of inss stage III patients ≥18 months with unfavorable histology and without MYCN amplification: A Children’s Oncology Group (COG) report.
Bibliographic record
Abstract
10502 Background: Patients with INSS stage III neuroblastoma represent a heterogeneous population with respect to disease presentation and prognosis and controversy exists regarding the most effective treatment algorithms. Patients ≥18 months of age with INSS Stage 3 tumors that are unfavorable histology (UH) and MYCN-non-amplified ( MYCN-NA) represent a small cohort of patients with an outcome intermediate of those with favorable histology tumors and MYCN amplified tumors. The presence of Segmental Chromosome Aberrations (SCA) may predict outcome; however, their impact specifically in this cohort of patients has not been reported. Methods: Eligible patients enrolled on therapeutic protocols A3973 (n=34), ANBL0532 (n=27), and biology protocol ANBL00B1 (n=101 with 29 treated on A3973/ANBL0532) with stage III disease, MYCN–NA, UH and age ≥18 months at diagnosis were analyzed. Copy number alterations and loss of heterozygosity (LOH) for relevant loci were scored for gains/losses by two independent reviewers. Results: The 5-year EFS/OS for children ≥18 months with stage III, MYCN–NA, UH disease treated on A3973 and ANBL0532 was 73.0±8.1%/87.9±5.9% and 61.4±10.2%/ 73.0±9.2%, respectively, with no statistical differences in EFS or OS between the two cohorts (p=0.1286 and p=0.2180, respectively). In the combined cohort of patients enrolled on A3973 and ANBL0532, statistically significant differences were found (p(s) <0.0001) in patients with CR/VGPR (n=39) and PR (n=13) having better outcomes than
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".