HGG-02. LONG-TERM EFFICACY AND SAFETY OF LAROTRECTINIB IN PEDIATRIC PATIENTS WITH TRK FUSION PRIMARY CENTRAL NERVOUS SYSTEM (CNS) TUMORS: AN UPDATED ANALYSIS
Bibliographic record
Abstract
Abstract BACKGROUND Larotrectinib is the first-in-class, highly selective TRK inhibitor approved for tumor-agnostic use in patients with TRK fusion cancer. We report data on larotrectinib-treated pediatric patients with TRK fusion primary CNS tumors. METHODS Patients aged <18 years with TRK fusion primary CNS tumors enrolled in two clinical trials (NCT02637687, NCT02576431) were included. Responses were independent review committee (IRC)-assessed per RANO. Patients were permitted to stop larotrectinib in the absence of on-treatment progression (wait-and-see) and remain on trial. RESULTS As of July 2023, 38 patients were eligible for efficacy analyses by IRC, including 11 patients with only non-measurable disease at baseline. Median age at enrollment was 7 years (range 0–17). Tumor histologic groups included: high-grade glioma (HGG; n=18), low-grade glioma (LGG; n=12), and other (n=8). Eleven (29%) patients had received ≥2 prior systemic therapies. Overall response rate was 37% (95% CI 22–54): three complete response, 11 partial response, 17 stable disease, five progressive disease, and two not evaluable. The 24-week disease control rate was 74% (95% CI 57–87). Medians for duration of response, progression-free survival, and overall survival (OS) were 17.2 months (95% CI 5.7–not estimable [NE]), 19.8 months (95% CI 11.1–50.8), and not reached (95% CI 32.7–NE), respectively. The 48-month OS rate was 60%. At data cutoff, one patient with HGG and four with LGG entered wait-and-see; median duration of the first wait-and-see period was 20.2 months (range 4–29). One patient with LGG resumed treatment following wait-and-see. Treatment-related adverse events (TRAEs) were predominantly Grade 1/2. No patients discontinued treatment due to TRAEs. CONCLUSION Larotrectinib demonstrated rapid, durable responses and a manageable safety profile in pediatric patients with TRK fusion primary CNS tumors. This supports the wider adoption of next-generation sequencing panels that include NTRK gene fusions when testing pediatric patients with CNS tumors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".