Exploring Maintenance Therapy in Pediatric Embryonal Tumor With Multilayered Rosettes
Bibliographic record
Abstract
Embryonal tumors with multilayered rosettes (ETMR) represent a distinct entity characterized by aggressive behavior. Historical retrospective analyses have documented dire overall survival rates ranging from 0% to 14% at 1 year. However, a contemporary report by Khan and colleagues shows overall survival rates reaching 29% at 2 years and 27% at 4 years. We present the case of an 18-month-old girl diagnosed with ETMR, confirmed by chromosome 19 microRNA cluster amplification following initial presentation with focal seizures. The patient underwent a combination of surgical interventions, high-dose chemotherapy with stem cell rescue, and proton therapy, achieving a disease-free status after completing standard treatment. Subsequently, a 12-month maintenance regimen comprising intrathecal topotecan, oral sodium valproate, and oral cis-retinoic acid was administered. The maintenance therapy was well tolerated, with manageable adverse effects. The patient remains progression-free for 32 months postmaintenance therapy (50 months from initial presentation). This study explores the feasibility and safety profile of maintenance therapy in ETMR. Future studies may explore this approach to determine its efficacy in children with ETMR.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 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".