CTNI-53. PNOC014: PHASE IB STUDY RESULTS OF DAY101(TOVORAFENIB) FOR CHILDREN WITH LOW-GRADE GLIOMAS (LGGS) AND OTHER RAS/RAF/MEK/ERK PATHWAY-ACTIVATED TUMORS
Bibliographic record
Abstract
Abstract BACKGROUND Pharmacokinetic modeling for previously reported phase 1A data of pan-RAF inhibitor DAY101 in RAS/RAF/MEK/ERK pathway-altered tumors suggested a correlation between higher doses and improved efficacy without clear safety data. The protocol was amended to explore differential dosing across different body surface areas (BSA). METHODS Eligible patients were < 25 years old with radiographically recurrent/progressive RAS/RAF/MEK/ERK pathway-altered tumors. We applied a novel modification of a TITE-BOIN design to determine recommended phase 2 dosing of oral, weekly DAY101 in evaluable patients within two BSA subgroups: ≤ 1.5 m2 or > 1.5 m2. Target toxicity probability was closest to 20%. We tested 420 and 530 mg/m2. Dose limiting toxicities (DLTs) were determined within Cycle 1. Evaluable patients had either ‘complete’ or ‘partial’ information. Complete information meant patient had a DLT or received 3 of 4 planned doses with no DLT. Partial information meant patient received only 1 or 2 doses or did not complete the DLT observation period. Three patients with complete information at a given dose level were required before dose escalation. The primary endpoint driving dose escalation was time from start of Cycle 1 to first DLT or, if no DLT, time from start of Cycle 1 to minimum of date of last contact or end of Cycle 1. RESULTS We treated 35 eligible patients: 21 KIAA1549:BRAF-, 9 BRAFV600E-, 4 novel RAF- and one FGFR1-altered tumors. Histologically, cohort included 30 LGGs, 4 high grade gliomas and 1 soft tissue sarcoma. There were 6 DLTs: 3 in each BSA subgroup, all at 530 mg/m2/dose, all grade 3, and 5 known side effects ( 2 fatigue, 3 rash, 1 menorrhagia). CONCLUSIONS Oral weekly DAY101 is well tolerated. The TITE model recommends 530 mg/m2/dose PO weekly for patients with BSA < 1.5m2 and 420 mg/m2/dose PO weekly for patients with BSA >1.5m2.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".