EPN-10UPDATING THE PROGNOSTIC IMPORTANCE OF RESECTION STATUS AND CHROMOSOME 1q GAIN IN CHILDREN TREATED ACCORDING TO THE FIRST SIOP 1999-04 TRIAL FOR PAEDIATRIC INTRACRANIAL EPENDYMOMA
Bibliographic record
Abstract
Robust clinical and biological correlates of outcome for childhood intracranial ependymoma are still required. Previous analysis of clinical trial cohorts suggests incomplete resection (IR) and chromosome 1q25 gain were markers of recurrence for very young, but not older patients. 89 patients were originally enrolled on the SIOP ependymoma I trial. Following central pathology review, 10 were excluded. Biological re-evaluation was performed on an expanded cohort of 71 cases by 1q25 FISH analysis. Additionally, Multiplex ligation-dependent probe amplification (MLPA) was performed on 32 cases. Results were correlated with clinical, histological and updated survival data. Of the 79 cases, complete resection (CR) was achieved at initial surgery for 35 children (44%). 10-year EFS and OS for CR cases was 52.2% (SE 8.8%) and 70.4% (SE 7.9%), and for IR was 30.2% (SE 7%) and 46.5% (SE 7.6%) respectively. Of the 71 cases, 54 (76%) generated 1q25 results. Both IR (HR 2.12, 95% CIs 1.02–4.39, p = 0.04) and 1q25 gain (HR 2.26, 95% CIs 1.04–4.89, p = 0.04) were independent predictors of tumour progression. The only independent marker of adverse OS was anaplastic histology (HR 2.34, 95% CIs 1.16–4.74, p = 0.02). FISH and MLPA data were obtained in 25 cases with result concordance in 20 (80%). 1q gain is an independent predictor of poor outcome, and in combination with IR, identifies a very high risk group. Good correlation between 1q25 FISH and MLPA is demonstrated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".