A phase 1/2 study of orally administered synthetic hypericin for treatment of recurrent malignant gliomas
Bibliographic record
Abstract
BACKGROUND: Hypericin is a potent inhibitor of glioma growth in vitro. To examine whether synthetic oral hypericin can be tolerated by patients with recurrent malignant gliomas (anaplastic astrocytoma and glioblastoma) and to investigate its efficacy against these tumors, the authors undertook an open-label, sequential dose escalation/de-escalation tolerance study. METHODS: Patients with documented recurrent or progressive malignant gliomas who had received standard radiation therapy with or without chemotherapy were included. Patients were excluded for previous treatment with agents known to contain hypericin or treatment within 30 days with medications known to cause photosensitivity. Enrolled patients were given gradually increasing dosages of oral synthetic hypericin (0.05-0.50 mg/kg) for up to 3 months if no toxicity was observed, and patient response to treatment was noted. The patients were examined each month and underwent magnetic resonance imaging to evaluate tumor status at 3 months. RESULTS: Synthetic hypericin administered orally appeared to provide stabilization or a slight (<50%) decrease in tumor volume (coded as stable disease) at 3 months for 7 of 42 patients (17%) and produced a tumor reduction >50% (partial response) in 2 patients (5%). Seventeen patients (40%) survived for 3 months on daily synthetic hypericin at dose levels of 0.33 ± 0.070 mg/kg daily. The mean maximum tolerated dose was 0.40 ± 0.098 mg/kg daily. Twelve patients continued on hypericin therapy beyond 3 months. The median survival was 26 weeks (Kaplan-Meier method). CONCLUSIONS: The results of this study indicated that synthetic, oral hypericin is well tolerated in this patient group. The response results were comparable to those reported from other studies of salvage therapies for recurrent malignant brain tumors.
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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".