Phase III TRIDENT trial: Radiation and temozolomide +/- tumor treating fields in newly diagnosed glioblastoma.
Bibliographic record
Abstract
TPS2580 Background: Tumor treating fields (TTFields) is a non-invasive, regional antimitotic treatment approved as a standard of care for glioblastoma (GBM). In the EF-14 phase III trial, TTFields (200 kHz) plus temozolomide (TMZ) significantly increased the survival of patients with newly diagnosed GBM (ndGBM) without increase in systemic toxicity. TTFields-related AEs were mainly skin AEs. In preclinical models, TTFields increase the therapeutic effects of radiation therapy (RT). A pilot study showed that TTFields concomitant with RT and TMZ is well tolerated. The benefit of concomitant TTFields with RT and TMZ will be tested in this phase III TRIDENT randomized trial. Methods: TRIDENT is an international phase III randomized trial comparing standard RT with TMZ vs the triple combination of RT plus TMZ with concomitant TTFields. RT is delivered through the TTFields arrays. Patients in both arms will receive maintenance TTFields with TMZ. TTFields (200 KHz) will be delivered >18 hours/day using Optune. Patients will continue TTFields treatment until second recurrence. Patients with pathologically confirmed newly ndGBM, ≥ 18 years, KPS ≥ 70, either sex, post-surgery or biopsy, who are amenable for RT/TMZ therapy will be enrolled. Patients will be stratified by extent of resection and MGMT promoter methylation status. The primary endpoint is overall survival (OS). Secondary end points include: progression free survival (PFS; RANO), 1- and 2-year survival rates, overall radiological response (ORR; RANO), progression-free survival (PFS2, PFS6, PFS12); severity and frequency of AEs (CTCAE V5.0); pathological changes in resected GBM tumors post treatment; quality of life (EORTC QLQ-C30); and correlation of OS to TTFields compliance. The hypothesis is that concomitant TTFields with radiation and TMZ will significantly improve OS as compared to radiation and TMZ alone. The sample size is 950, with 475 in each arm to detect a HR <0.8 with a 5% type I error. Survival will be measured from the time of randomization until date of death. At the time of analysis, patients who are lost to follow-up or still on protocol follow-up will be censored at the last date known to be alive.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".