Full enrollment results from an extended phase I, multicenter, open label study of marizomib (MRZ) with temozolomide (TMZ) and radiotherapy (RT) in newly diagnosed glioblastoma (GBM).
Bibliographic record
Abstract
2021 Background: Proteasome inhibition sensitizes glioma cells to TMZ and RT, providing a novel therapeutic strategy for GBM. MRZ, an irreversible, brain-penetrant, pan-proteasome inhibitor with anti-glioma activity was combined with standard TMZ/RT → TMZ in newly diagnosed GBM (NCT02903069), to determine the recommended dose (RD). The primary endpoint of this expanded phase 1 trial was toxicity, with secondary endpoint of OS. Methods: Patients were enrolled in separate cohorts (TMZ/RT+MRZ→TMZ+MRZ, N=15; TMZ/RT→TMZ+MRZ, N=18) in dose-escalation (3+3 design), followed by dose-expansion (N=20) with TMZ/RT+MRZ at RD → TMZ+MRZ at RD. A separate cohort received TMZ/RT→TMZ+MRZ at RD with Tumor Treating Fields (Optune, N=13). MRZ was infused IV (10 min at 0.55, 0.7, 0.8, and 1.0 mg/m2) on Days 1, 8, 15, 29, 36 (42-day TMZ/RT+MRZ cycle) and Days 1, 8, 15 (28-day TMZ+MRZ cycle). Results: 66 patients treated; median age 58 years, 68% male, 50% receiving corticosteroid at baseline, 52% unmethylated MGMT. Dose-limiting toxicities (DLTs) in dose-escalation cohorts: 1 (fatigue) at 0.7 mg/m2 MRZ, 5 (ataxia/diarrhea; ataxia/confusion; myocardial infarction, delirium/ataxia; ataxia/fatigue) in 1.0 mg/m2 cohorts. MRZ demonstrated a steep dose-response with treatment-emergent adverse events (TEAEs)/DLTs predominately CNS AEs (Grade ≥3 TEAEs in 12 of 12 patients at 1.0 mg/m2 vs 22 of 41 patients at ≤0.8 mg/m2); the RD for MRZ was determined to be 0.8 mg/m2. Most common TEAEs (all grades): fatigue, nausea (both 70%), hallucination (54%), vomiting (53%), headache (47%), confusional state (33%), ataxia, constipation, muscular weakness (all 29%). Conclusions: CNS TEAEs were short-lasting, reversible and ameliorated by early dose reductions (29% patients dose-reduced), allowing patients to remain on treatment. For patients receiving MRZ with TMZ/RT→TMZ (N=35), the median OS was 14.8 months (17 deaths, median follow-up 14.3 months), and 7 patients remain active (Cycles 11-23). The MRZ RD + TMZ/Optune combination was tolerated, with 4 of 13 patients treated on this arm remaining active. An international Phase 3 trial (EORTC 1709-BTG/CCTG CE.8, NCT03345095) is ongoing. Clinical trial information: NCT02903069.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".