LGG-40. TYPE II RAF INHIBITOR TOVORAFENIB IN RELAPSED/REFRACTORY PEDIATRIC LOW-GRADE GLIOMA (PLGG): REVERSIBLE DECREASES IN GROWTH VELOCITY IN THE PHASE 2 FIREFLY-1 TRIAL
Bibliographic record
Abstract
Abstract BACKGROUND: Tovorafenib is an investigational, selective, CNS-penetrant, type II RAF inhibitor. The ongoing FIREFLY-1 (NCT04775485) phase 2 study (Kilburn LK, et al. Nat Med. 2023) of tovorafenib in BRAF-altered pLGG resulted in antitumor activity and manageable safety. Decreased growth velocity (GV) was observed; this is an update on GV changes in skeletally immature children receiving tovorafenib. Methods A planned safety analysis was completed on August 8, 2023 on 137 patients (Arm 1: 77 & Arm 2: 60). Additional follow-up on all cases of decreased GV (an AESI) reported to the global safety database (GSDB) as of January 19, 2024 is provided. Results Overall, 29% had decreased GV from baseline (BL); 19% had ≥50% decrease. Of the 40 with this AESI, 75% had pre-existing neuromuscular or endocrine comorbidities potentially affecting normal growth, including 6 on GnRH-analogues for precocious puberty and 9 with BL heights 2 SDs above/below average for age and sex. Nineteen had on-treatment bone age assessments; none showed bone age advancement from BL or premature growth plate closure. No osteopenia or abnormal fractures reported. All 10 who discontinued or interrupted tovorafenib for ≥3 months for any reason (mean follow-up: 5.8 months), with off-treatment growth measurements available, showed post-treatment annualized GV (AGV) recovery (average AGV: on-treatment, 1.1 cm/y; off-treatment, 8 cm/y), with some exceeding expected average AGV for age. A 4-year-old boy with 1.2 cm/y AGV on-treatment had 12.3 cm/y AGV off-treatment (follow-up: 2 months). Five additional events of decreased GV in patients not on study FIREFLY-1 were reported to the GSDB; 4 of 5 had ≥3 months of off-treatment follow-up, all 4 recovered GV. Conclusions Decreased GV has been observed in patients on tovorafenib. Preliminary follow-up data in those who interrupted treatment show consistent evidence of GV recovery and preservation of growth potential on bone age studies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".