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LOGGIC/FIREFLY-2: A phase 3, randomized trial of tovorafenib vs. chemotherapy in pediatric and young adult patients with newly diagnosed low-grade glioma harboring an activating <i>RAF</i> alteration.

2023· article· en· W4379282452 on OpenAlexaffabout
Cornelis M. van Tilburg, Lindsay Kilburn, Erin Crotty, Amy Smith, Sébastien Perreault, Andrea Flynn Franson, Nada Jabado, Lindsey M. Hoffman, René Schmidt, Antoinette Y. N. Schouten‐van Meeteren, Astrid Sehestedt, Enrico Opocher, Pablo Hernáiz Driever, Shivaram Avula, David S. Ziegler, Jiaheng Qiu, Li‐Pen Tsao, Peter Manley, Darren Hargrave, Olaf Witt

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsMcGill University Health CentreUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineRegimenTolerabilityInternal medicineChemotherapy regimenLomustineGliomaChemotherapyOncologyInterim analysisProgression-free survivalRandomized controlled trialHazard ratioBedaquilineAdverse effectSurgeryVincristinePathologyCancer researchConfidence interval

Abstract

fetched live from OpenAlex

TPS10067 Background: Pediatric low-grade gliomas (pLGGs) are the most common CNS tumors of childhood. Genomic alterations of BRAF are oncogenic drivers in almost all pLGGs. Approximately 50%‒60% of pLGGs harbor a KIAA1549-BRAF fusion and 5%‒15% a BRAF V600E mutation. Tovorafenib is an investigational, oral, selective, CNS-penetrant, small molecule, type II pan-RAF inhibitor. The registrational, phase 2 FIREFLY-1 (NCT04775485) study of tovorafenib in pediatric patients with recurrent/progressive LGG is ongoing and interim analysis has shown encouraging anticancer activity. Methods: LOGGIC/FIREFLY-2 (NCT05566795) is a registrational, 2-arm, randomized, multicenter, global (~100 sites across Australia, Canada, Europe, New Zealand, Singapore, South Korea, and USA), phase 3 trial being conducted in collaboration with the SIOPe Brain Tumor Group LOGGIC Consortium. The study is evaluating the efficacy, safety, and tolerability of tovorafenib vs. standard of care (SoC) chemotherapy in patients < 25 years old with pLGG harboring an activating RAF-alteration and requiring first-line systemic therapy. Approximately 400 patients will be randomized 1:1 to receive oral tovorafenib, 420 mg/m2 (≤600 mg) once weekly (tablet or liquid suspension), or an investigator’s choice of SoC chemotherapy: COG-V/C regimen (60 weeks), SIOPe-LGG-V/C regimen (81 weeks), or single-agent vinblastine (70 weeks). Tovorafenib will be continued until the occurrence of radiographic progression (based on Response Assessment in Neuro-Oncology [RANO] criteria as determined by the investigator and confirmed by independent review) or unacceptable toxicity; patients with radiographic progression may be allowed to continue tovorafenib if, in the opinion of the treating investigator, they are deriving clinical benefit from study treatment. Patients who progress in the SoC arm during or after completion of chemotherapy are eligible to cross-over to receive tovorafenib. The primary endpoint is the objective response rate based on RANO criteria, as determined by independent review. Key secondary endpoints are progression-free survival and duration of response per RANO criteria by independent review and overall survival. Other secondary endpoints include efficacy assessments per Response Assessment in Pediatric Neuro-Oncology (RAPNO) criteria, changes in neurological and visual function, and safety and tolerability. Exploratory endpoints include efficacy assessments per investigator, tumor volume, adaptive behavior and quality of life. Prognostic and predictive molecular biomarkers, including senescence profiles for treatment outcome, response prediction, and treatment resistance, will be explored in parallel studies. Clinical trial information: NCT05566795 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.045
GPT teacher head0.409
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2023
Admission routes2
Has abstractyes

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