PDCT-08. SUPERIOR OUTCOME FOR BRAF V600E PEDIATRIC GLIOMAS TREATED WITH TARGETED BRAF INHIBITION
Bibliographic record
Abstract
Abstract BACKGROUND Children with pediatric low grade glioma’s (PLGG) harboring BRAF V600E mutation have poor outcome due to relative resistance to chemo-radiation and higher risk of malignant transformation. However, the role of targeted BRAF inhibition in these tumors is poorly defined. METHODS We assembled an international cohort of children with BRAF V600E mutant gliomas treated with BRAF inhibition, from 29 centers participating in the PLGG taskforce, and collected response, survival and molecular parameters. RESULTS Sixty-seven patients were treated with BRAFi (56 PLGG and 11 high grade gliomas) for a median time of 17.4 months (6 – 61 months), with 13 PLGG treated upfront. Objective responses was observed in 80% of PLGG patients compared to 28% with conventional chemotherapy (p< 0.001). Rapid responses were observed in most PLGG patients (median of 4 months), sustained in 86% of tumors up to 5 years while on therapy. In contrast, only 36% of PHGG responded to BRAFi with all but one tumor progressing within 18 months. Seventeen patients with PLGG discontinued BRAFi and 76.5% (13/17) progressed rapidly after discontinuation (median time 2.3 months). However, upon re-challenge with BRAFi therapy, 90% achieved an objective response. Poor prognostic factors to conventional therapies such as concomitant homozygous deletion of CDKN2A or H3K27M mutation were not associated with lack of response to BRAFi. Overall these responses translated to 2-year progression-free survival of 0.636 (95%CI 0.505–0.802) and 0.43 (95% CI 0.32–0.57) for BRAFi and chemotherapy treated BRAF V600E PLGG respectively (p=0.003). CONCLUSION The use of BRAFi results in objective, robust and durable responses in BRAF V600E PLGG and is associated with favorable survival. Larger prospective studies will be required to determine appropriate regiments, and long-term functional outcomes with BRAFi therapy in childhood gliomas.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".