VAL-083 is effective in patients with newly-diagnosed MGMT-unmethylated glioblastoma: report of phase II study
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: Unmethylated MGMT is a validated biomarker for temozolomide (TMZ) resistance and poor prognosis in glioblastoma. VAL-083 (dianhydrogalactitol; DAG) is a DNA-targeting agent that forms interstrand crosslinks at O6/N7-guanine, inducing double-strand breaks and cell death independently of MGMT-mediated DNA repair. This study aimed to evaluate whether first-line VAL-083 combined with radiotherapy improves efficacy compared to standard-of-care TMZ plus radiotherapy in newly diagnosed MGMT-unmethylated GBM patients. METHODS: VAL-083 was administered intravenously on days 1-3 of a 21-day cycle, starting on day 1 of radiotherapy, with a second 3-day cycle on days 22-24 of radiotherapy. After completing the 6-week radiotherapy regimen, patients began adjuvant maintenance therapy with VAL-083 alone, administered IV at the same dose and regimen (Cycles 3-10), for up to 8 maintenance cycles. RESULTS: /day VAL-083, 15/25 (60%) had died by the censor date, with a median survival of 18.0 months. Pharmacokinetics exhibited dose-linearity. CSF levels at 2 h post-infusion were comparable to or exceeded plasma levels. Common adverse events included thrombocytopenia and neutropenia. CONCLUSIONS: /day) combined with radiation therapy was generally safe and well tolerated. Adverse events aligned with previous studies. This regimen, compared to standard-of-care TMZ, showed potential benefits in terms of disease progression and overall survival. Trial registration ClinicalTrials.gov ID NCT03050736, dated: February 13, 2017.
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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 | 0.001 |
| 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 it