Comprehensive Genomic Profiling of Recurrent Classic Glioblastoma in a Patient Surviving Eleven Years Following Antineoplaston Therapy
Bibliographic record
Abstract
Most patients with recurrent glioblastoma (RGBM) die within 6 months regardless of treatment. In phase II studies of Antineoplaston A10 and AS2-1 injections (ANP), our investigators have reported objective responses and long-term survival in RGBM. Using a next-generation sequencing (NGS) based assay of 343 cancer-related genes and introns, comprehensive genomic profiling of tumor tissue obtained from a RGBM patient (who remains alive and well) was performed 11 years after diagnosis and permitted assignment of the patient’s RGBM to the classical subgroup. The most important genomic alterations included amplification of epidermal growth factor receptor (EGFR), cyclin-dependent kinase inhibitor 2A and 2B (CDKN2A/B), loss of phosphatase and tensin homolog (PTEN) and telomerase reverse transcriptase (TERT) mutation. An analysis of the signaling networks and other targets of ANP therapy was recently performed and presented in this publication. Based on our findings, patients with classical RGBM have a reasonable possibility of responding to ANP therapy and experiencing long-term survival. It is proposed that this subgroup of RGBM patients be enrolled in a genomics-driven clinical trial of ANP therapy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".