Primary CNS Tumors and Leptomeningeal, Disseminated and/or Multicentric Disease in Children Treated in Phase II Studies with Antineoplastons A10 and AS2-1
Bibliographic record
Abstract
It is estimated that as many as 30% of patients with primary CNS tumors have leptomeningeal, disseminated, and/or multicentric disease (LDM). These patients respond poorly to conventional therapy. Fifty-seven children with LDM (median age of 7.1 years) were treated in multiple prospective phase II clinical studies of high- and low-grade primary CNS tumors with Antineoplastons A10 and AS2-1 (ANP). Their inclusion in this analysis was based on MRI imaging. Patients with glioblastoma were excluded. The patients received ANP therapy 6 times daily; A10: 8.77 g/kg/d; AS2-1: 0.35 g/kg/d. The response to ANP was monitored by MRIs every 8 weeks. Patients evaluable for efficacy (N = 40) received 12 or more weeks of ANP or developed progressive disease (PD) before 12 weeks. 10 patients (17.5%) achieved an objective response (OR) with 4 (7%) achieving a complete response (CR) and 6 (10.5%) had a partial response (PR). Stable disease (SD) was maintained in 7 patients (12.3%) and PD developed in 23 patients (40.4%). Survival analysis of the 57 children showed 2- and 5-year overall survival (OS) were both 28% while 10- and 15-year OS were both 26%. One of the patients achieving an OR had atypical teratoid/rhabdoid tumor (AT/RT) while nine had low-grade gliomas (LGGs). Grade 3 and 4 toxicities included hypokalemia (14.0%); fatigue, anemia, hypernatremia and leukopenia (3.5% each); diarrhea, hypertension, joint pain, thrombocytopenia, and somnolence (1.8% each). These findings suggest the need for a single-arm, phase II study of ANP in children with LDM.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".